How to build a business case for modern data architectures
By: Informatica View more from Informatica >>
Download this next:
Modern Business Data Architecture Requires a favorable inner climate
By:
Type: Talk
Modern data architecture discipline can really produce a value as long as business understands, supports, and partakes in this initiative. The goal of this program is to define a roadmap for data product, self-service decisions tools, and reusable data service, to socialize data anomalies. The accountability is on enterprise architecture department to bring the inner climate under one common roof to serve better frameworks and solutions.
These are also closely related to: "How to build a business case for modern data architectures"
-
Looking to Update Your Security Infrastructure?
By:
Type: Replay
Does your team struggle with undersized tools, less-than-ideal architecture, and ingesting data needed to support and protect the enterprise? Observability pipeline gives teams the flexibility to implement an architecture to successfully support and protect their organization. Join this webinar to learn more about: - The fastest way to overhaul your architecture, risk-free - Sizing best practices, so you get more value from operational tools - Enterprise Architecture best practices
-
Modernize Data Architecture to Facilitate Innovation in Financial Services
By:
Type: Video
The arrival of Big Data, along with the breakthroughs in AI, machine learning and automation has enabled financial services to generate business insights at a vigorous speed while driving operational efficiency. But when the existing analytics architecture reaches its limit, what are the new potentials and innovations in the markets, and how can firms invest in a modernized data platform with advanced analytics capabilities? Watch this 60-minute panel discussion to learn, • What are the technical debts and limits with most existing data infrastructure? • From the perspective of data scientists VS tech business managers: how does a modernized data architecture looks like and how to operationalize it? • How to align operating model with data architecture to generate the maximum value from your data? • Best strategies to enhance your IT infrastructure with open source eco-system and hybrid cloud approach
Find more content like what you just read:
-
Modernize Your Data Infrastructure with VMware vSAN and Cloudian Object Storage
By:
Type: Replay
VMware’s vSAN Data Persistence platform with Cloudian HyperStore drives more business value by increasing agility and efficiency while also overcoming management, scale and complexity challenges. Adding object storage to block and file storage enables a unified data services platform that helps IT and DevOps teams do more faster, supporting both modern, cloud-native and traditional applications in the hybrid cloud, with a lower TCO. Join this webcast to learn more about Cloudian Object Storage for VMware Cloud Foundation with Tanzu and the vSAN Data Persistence platform. Don’t miss this opportunity to: • Learn the technical details about the new solution • See a technical demo showcasing new capabilities • Discover flexible deployment options for adding object storage in vSAN environments • Hear about new use cases, including: - Data Protection for cloud-native apps - Converged platform for Enterprise Splunk - Modern data architecture for Healthcare - Object storage for cloud-native apps - Converged data protection for enterprise apps - and others … • Have your questions answered by experts
-
Size Matters: Right-Sizing and Overhauling Your Infrastructure
By:
Type: Replay
Security and Ops teams often struggle with undersized tools, less-than-ideal architecture, and ingesting all of the data they need to support and protect the enterprise. Professional services organization, Networkology, leverages Cribl Stream to fix such teams’ fundamental architecture and ensure long-term success. Join us to learn more about: - Common struggles with getting data in and how to combat them - Sizing best practices, so you get more value from operational tools like Splunk - The fastest way to overhaul your architecture, risk-free
-
Upgrading from Apache Kafka® to Confluent
By:
Type: Video
Apache Kafka is the foundation of modern data architectures today, enabling businesses to connect, process, and react to their data in motion. However, Kafka doesn’t offer all the capabilities you need to move safely and quickly to production, and operating the platform can be a huge burden on your engineering teams. What does this mean for your business? Escalating total cost of ownership, delayed time to value and lower ROI on your mission-critical Kafka projects. Confluent helps solve these challenges by offering a complete, cloud-native distribution of Kafka and making it available everywhere your applications and data reside. With Kafka at its core, Confluent offers a holistic set of enterprise-grade capabilities that come ready out of the box to accelerate your time to value and reduce your total cost of ownership for data in motion. In this webinar, Amit Gupta, Group Product Manager, and Nick Bryan, Senior Product Marketing Manager, will cover how you can: 1. Protect your Kafka use cases with enterprise-grade security, enhanced disaster recovery capabilities, and more 2. Reduce your Kafka operational burden and instead focus on building real-time apps that drive your business forward 3. Pursue hybrid and multi-cloud architectures with a data platform that spans and connects all of your environments Register today to learn how you can realize the full value of your mission-critical Kafka projects and truly modernize your data architecture.
-
Dell EMC PowerStore: File-Based Workloads
By:
Type: Talk
PowerStore has a robust feature set of native file capabilities so administrators can easily implement a highly scalable, efficient, performant, and flexible solution that is designed for the modern data center. Learn more about how the rich feature set and mature architecture enables support for a wide range of use cases. PowerStore file provides immense value to environments that leverage block, file, or a mixture of both.
-
Technical Review of a Utility Architecture Design for Grid Modernization
By:
Type: Video
Transforming and modernizing the energy industry is at the forefront of utility operational objectives. Traditional architectures in electric utilities are costly to maintain and inflexible. Utilities seeking to modernize the Grid require a new approach, one that leverages a common, virtual architecture providing more agility and higher levels of inter-operability, security and reliability. A Utility Grid Modernization Program requires a common architecture design that can be utilized across the Utility eco-system. The common architecture should be a robust Enterprise Grade Software Defined Data Center (SDDC) that can run at the edge, while utilizing the same tools and retaining the same capabilities as the data center. In addition, the common architecture must be capable of supporting Cloud Native and Legacy (Window/Linux) x86 applications on a single platform while providing intrinsic security, compliance and lifecycle management. The benefits of a SDDC virtual architecture for grid modernization includes reduced overall cost, increased safety, increased reliability, redundancy, self-diagnostics, and an improved level of security through zero-trust architectures. Together, Dell Technologies, Intel and VMware are delivering successful Utility Grid Modernization projects with enterprise grade, standard virtual architectures enabling Utilities to streamline operations while delivering next-generation utility tools to manage and ensure overall grid reliability.
-
Design your roadmap for data modernization
By:
Type: Video
Data modernization is quickly becoming a buzzworthy topic for experts focused on bridging the gap between modern needs and legacy systems, while also trying to wrangle exponentially more data with only a fraction more budget… but what does modernization actually mean to you, your team, and your organization? Is it something you should be exploring, and how do you determine where you’re at or should be, in your journey to modernization? From collection, routing, and parsing, to integration, storage, and retrieval, modernization will require you to assess where you're at in the journey, determine the value of your data, and build a model for your organization. You'll also need to tie your initiatives to broader business goals so you can fund your modernization project. In our session, we’ll show you: - Models to measure the maturity of your architecture and engineering at each step in the data journey - Strategies to determine which areas to address first - Tools and techniques to de-risk the upgrade process
-
Size Matters: Best Practices for Right-Sizing & Overhauling Your Infrastructure
By:
Type: Replay
Security and Ops teams often struggle with undersized tools, less-than-ideal architecture, and ingesting all of the data they need to support and protect the enterprise. Professional services organization, Networkology, leverages Cribl Stream to fix such teams’ fundamental architecture and ensure long-term success. Join Networkology’s Chris Morris and Cribl’s Desi Gavis-Hughson for this on-demand webinar as they talk through: Common struggles with getting data in and how to combat them Sizing best practices, so you get more value from operational tools like Splunk The fastest way to overhaul your architecture, risk-free
-
Unified Analytics Data Lake Platform with Vertica and Cloudian HyperStore
By:
Type: Replay
Data warehouse and data lake environments are growing rapidly, with analytic use cases such as AI/ML fueling the growth of petabyte-scale data sets. The cloud model has modernized the data warehouse platform by running on S3 data lakes and taking advantage of the flexibility, cost-efficiency, and scale inherent with cloud storage. Vertica has partnered with Cloudian and brings the same modern data warehousing architecture on-premises for scaling and managing all data warehousing workloads in an economical manner. Join experts from Vertica and Cloudian to learn about modernizing your data warehousing architecture. This webinar will cover: - New architectures for data warehousing - Why on-prem S3 data lake is the chosen solution for data warehousing workloads - Use cases from analytics to backup Speakers: Steve Sarsfield, Director of Product Marketing, Vertica Amit Rawlani, Director of Technology Alliances & Solutions, Cloudian
-
On the Air: Driving Value from Your Data in Times of Change
By:
Type: Video
You can name numerous trends and new technologies businesses utilize to get ahead: data lakes, machine learning, artificial intelligence, the internet of things, serverless architectures, edge computing, augmented reality, etc. Regardless of your current strategy, all these advancements rely on modern data architecture. As your business tries to keep up with change, you need an effective data management strategy, or you could be left behind. In this On the Air, we explore how Rackspace + Microsoft can help you embrace a data strategy that adds value to your organization. Rackspace Technology's Matthew Lathrop and Jason Rinehart and Microsoft's Luke Fangman talk about the cornerstones of driving more value from your organizational data in a modern data estate, the next evolution in IT. What we discuss: - Top trends among companies innovating with data - The people, processes, and technology needed for your modern data estate - How Rackspace + Microsoft help companies innovate with data
-
Accelerating Application Modernization on AWS with the AveriSource Platform™
By:
Type: Video
Join TechStrong, AveriSource and AWS experts as we explore how to accelerate your application modernization journey on AWS using the AveriSource Platform™. Learn how to choose the right modernization pattern that best suits your business strategy and cloud architecture while minimizing cost, risk, and complexity. Examine how the AveriSource Platform accelerates application re-architecture and re-engineering to AWS while preserving core business rules, reducing technical debt, and optimizing your legacy codebase. Modernize COBOL, Assembler, PL/I, RPG and more to AWS using this flexible platform for mainframe and midrange modernization. During this panel discussion, we'll explore: • Popular application modernization patterns and strategies. • Common architectural challenges to mainframe modernization. • The benefits of an accelerated rewrite strategy to AWS. • How the AveriSource Platform accelerates application modernization to AWS. • Key considerations for legacy application deployment to AWS. • Best practices for application analysis, business rules extraction and code transformation.
-
Modernize your data warehouse with Greenplum and Cloudian
By:
Type: Replay
The modernization of the data warehouse solution in the cloud has combined the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses. VMware Greenplum with Cloudian brings the same modern data warehousing architecture, on-premises, for scaling and managing all data warehousing workloads in an economical manner. Join experts from VMware and Cloudian to learn about modernizing your data warehousing architecture. This webinar will cover: - New architectures for data warehousing - On-prem S3 data lake for data warehousing workloads - Use cases from – from backup to analytics
-
Pure Storage - Building Modern Data Pipelines with Agile Infrastructure
By:
Type: Video
Learn how Pure helps companies build scalable data pipelines with the agility, flexibility, and time-to-value of cloud native architectures. We will discuss how key technology trends like containers, kubernetes, and disaggregated object storage enable data engineers and data scientists to work more productively. Examples of real pipelines will be used to demonstrate the lessons Pure has learned from our own internal projects and working with our customers.
-
A data lake on your cloud with Spark, Kubernetes and OpenStack
By:
Type: Talk
Data lake is a very large scale data processing paradigm that disrupts the conventional data warehousing model. Data warehouses require all data to be structured and stored in a relational database, which can be inflexible and may require significant upfront data processing using extract-transform-load (ETL) technologies. Data lakes can offer greater flexibility whilst retaining the benefits and efficiency of centralised data governance. With Canonical OpenStack private cloud platform, Kubernetes and Charmed Spark solutions, your data lake architecture can also benefit from extended flexibility and scalability whilst remaining cost effective to operate. Join this webinar to learn more about the benefits of the data lake architecture, and how you can efficiently adopt this technology at scale using modern private cloud technology. Learn more or contact our team: https://canonical.com/data/spark
-
Webinar: API-First Integration for Modern Business Solutions
By:
Type: Video
What is a pragmatic approach to API-First Integration and what does a reference architecture look like? We’ll answer that and then dig into how customers are designing a modern Integration architecture and the use cases driving this approach. We’ll also highlight the award-winning webMethods.io platform that makes this architecture possible while delivering real business value.
-
Data Platform Capabilities for Modern Data Management Architectures
By:
Type: Talk
Data management methods are evolving quickly, as enterprises invest in gaining data agility to accelerate insightful decision-making. Modern data management is being driven by an accelerated shift to data in the cloud and the subsequent innovation in data technologies and advanced analytics. Enterprises are recognizing new opportunities to derive value from their data and to save time and money, and they’re taking a fresh look at new data management approaches to reap the rewards of smarter and accelerated decision-making. In response to this demand for more modern data treatments, a confusing array of architectures, technologies, and approaches has sprung up – and it’s not easy to tell which ones will truly deliver better business outcomes and which ones are just hype. Should you invest in graph technology and metadata management? What exactly is a data fabric? How can you leverage the power of AI and machine learning? This session will take a look at trends in data management that are worth investigating, and explain how a modern data platform can help you implement them in a way that delivers business value for your enterprise.
-
Bringing Data Closer to Decision Makers with Data Fabric
By:
Type: Video
Modern organizations are laser-focused on delivering business value from technology initiatives. As a result, Data and Analytics leaders are partnering with their IT and Marketing counterparts to align their strategies for optimal results. This can lead to a balancing act between centralizing functions like data security and compliance and decentralizing data ownership so business users can drive projects autonomously. Data management is coming of age with modern data architecture patterns like data fabric and data mesh. Data fabric has gained traction because it's flexible enough to adapt to complex data growth and scale with business needs. Using a semantic layer, data fabrics weave data and metadata into a unified view to enable reusable and accessible knowledge on demand across the organization. This promotes better collaboration, less reliance on IT teams for data operations and greater self-service for data analytics. But how far are we in reaching the full promise of data fabrics? Special guest Andy Hayler, Practice Leader, Data as an Asset at Bloor Research and Stephen Crook, Principal Sales Engineer at Progress explore challenges and successful deliveries of data fabrics in the industry. Learn about: - Business adoption of data fabrics and technology maturity - Modernizing your architecture without disrupting legacy systems - How to balance democratized access to data with uniform governance and security - Data mesh of data fabric: What dictates the choice of data architecture in the modern enterprise? - Use cases and criteria for successful data fabric delivery
-
Future-Proofing Data Architecture: Strategies for Scalable and Seamless Integration
By:
Type: Talk
As organizations scale, managing data across diverse platforms and environments becomes increasingly complex. A modern data architecture must be flexible, scalable, and integration-ready to support real-time decision-making, AI-driven analytics, and regulatory compliance. In this session, we will explore: 1. The core principles of a resilient data architecture. 2. Strategies for seamless multi-cloud and hybrid integration. 3. How to balance performance, security, and cost efficiency. 4. Best practices for future-proofing your data ecosystem. Attendees will gain actionable insights to enhance data agility, optimize integration workflows, and maximize the ROI of their data infrastructure.
-
Agile Integration for OSS BSS flexibility, reusability and scale
By:
Type: Video
Disparate operations support systems (OSS) and business support systems (BSS) generally lack interoperability, limiting the exchange of data. Further, while existing solutions may have significant value to offer, they typically lack the flexibility to access the embedded metrics and data needed to synthesize more holistic views and address complex problems across solutions. OSS and BSS modernization demands continuous evolution and innovation that in turn requires legacy and evolving technologies to work together seamlessly. Red Hat Consulting’s application programming interface (API)-centric approach to integration addresses these issues to create modern, flexible solutions across old and new systems. During this webinar, we’ll discuss an agile integration framework that can wrap legacy systems to deliver new interfaces and combine these with new, container-based architectures of evolving OSS/BSS environments to deliver highly flexible, holistic solutions.
-
Modernizing your IT with flexible as-a-service infrastructure options
By: Pure Storage TFS
Type: ESG White Paper
Traditional IT infrastructure can struggle with data demands, complexity, and skills shortages. As-a-service IT offers benefits like faster initiatives, reduced risk, and efficiency. In this white paper by Enterprise Strategy Group, learn how to maximize returns with cloud-like operations on-premises.
-
Dell PowerFlex & Nutanix Cloud Platform: Providing Flexibility and Choice for IT Environments
By: Nutanix
Type: White Paper
This ESG technical review explores how Dell PowerFlex with Nutanix Cloud Platform helps evolve IT environments amid aging hypervisors. The solution offers flexible architecture, simplified operations via a single interface, and strong security to support diverse workloads. Read the report to see ESG analysts' assessment after testing this solution.
-
Modern Hybrid Cloud Solutions with VMWare Integrations
By:
Type: Video
Discover how Hitachi's Unified Compute Platform accelerates hybrid cloud benefits with VMWare integration in our presentation, "Modern Hybrid Cloud Solutions with VMWare Integration". Learn about the scalability, simplicity, and reliability of modernizing data centers and edge computing. Explore the UCP HC series for streamlined hybrid cloud and the UCP CI series for automated data center setup and reduced time-to-value with flexible converged infrastructure.
-
Exploring modern data storage approach for high-value mission-critical workloads
By:
Type: Talk
High-value workloads and their associated data is the foundation of the modern enterprise. In this Data Era, your digital assets and your IT operations are fueling critical business decision making and key growth initiatives. To support modern data-driven enterprises, IT infrastructure must meet stringent SLAs around performance, scalability and availability while enabling transformational agility and predictability. In this session, we will look at two different approaches to addressing the needs of modern high-performance mission-critical workloads - three tier SAN topology with Dell EMC PowerMax, and software-defined architectures with Dell EMC PowerFlex. Topics covered include: • PowerMax and PowerFlex architectural overview • Use case and workloads considerations for the two alternate approaches • Determining which approach to choose based upon business criteria • How PowerMax and PowerFlex can complement each other, helping organizations meet specific objectives. • Workload solutions overview for each platform
-
5 steps to maximize the value of Hadoop
By: SAS
Type: White Paper
Many organizations are struggling to implement Hadoop. This resource describes the 5 critical steps to maximize the value of Hadoop before embarking on a big data project.
-
Modernization Assessments: A Deep Dive into Legacy Systems and Strategic Planning for the Future
By:
Type: Talk
As organizations look to modernize their enterprise applications, understanding the complexities of legacy systems—especially those running on mainframe and midrange platforms—is critical to crafting a successful modernization strategy. This webinar will explore best practices for performing comprehensive application modernization assessments, with a focus on gaining a deep understanding of legacy applications and accelerating the generation of modernization assessment documentation. Participants will learn how to assess the current state of their legacy systems, identify pain points, and uncover opportunities for modernization, all while ensuring alignment with business goals. Key topics will include: Deeply Understanding Legacy Applications: How to evaluate the application and data architecture, relationships, dependencies, data sources, data lineage and technical debt of legacy applications running on mainframe and midrange platforms. Accelerating Modernization Assessment Document Generation: Best practices and tools to streamline the process of gathering, organizing, and documenting assessment findings. Planning the Right Modernization Strategy: Choosing the optimal modernization pattern and strategy for your legacy applications, whether it’s reengineering, rearchitecting or rewriting to the cloud or redeployment back to mainframe or midrange platforms. By attending this webinar, you will gain the knowledge and insights necessary to make informed decisions about modernizing your mainframe and midrange systems and charting the right path for your business and digital transformation initiatives.
-
Super-charge your Data Analytics Journey with FPGA-accelerated computing
By:
Type: Talk
Enterprise and scientific users are becoming increasingly aware of the value contained within the vast quantities of data now collected from the physical and virtual worlds. Demand for data analytics is typically proportional to the amount of data being generated. As the quantity of data continues to expand exponentially, the need for data analytics will grow at a similar rate. Contemporary hardware and software architectures cannot be leveraged cost-effectively to meet the data generation, storage, and analytics needs. Hence, there is an urgent need for new and novel approaches based on heterogeneous compute platforms that appropriately couple CPU and FPGA resources. FPGAs, with their configurability, flexibility, scope for parallelism, and power efficiency, ensure effective and efficient acceleration of data-processing workloads. Artificial intelligence and data analytics are the defining workloads of the coming decade. Xilinx hardware and software solutions accelerate the development and deployment of AI and data analytics workloads in the data center, cloud and intelligent edge. Eventually taking the leap in data centre modernization requires three things and Presenters will talk about how to handle these challenges with Xilinx technology: • Need of Advancement in computing power that enable real-time, in-memory processing of vast amounts of data. • Tools that let data scientists develop analytic models using machine-learning techniques that can extract value from unstructured data. • Frameworks that enable software developers to easily incorporate data science models in the applications they develop. Take Away for attendees: • You will learn about Xilinx new Hardware architecture and Vitis Software Environment. • You will learn how Xilinx technology can supercharge your data science activities. • You will learn the Top N challenges in Data Analytics and how to tackle them.
-
The Journey towards Data Mesh in Financial Industry
By:
Type: Talk
In a data-centric world, how to manage the business data correctly and embrace the ubiquity of data in the enterprise, it’s the question all businesses like insurance, banking, pharma and industrial, have to answer. Data mesh is an architectural paradigm that has slowly gained traction since it was first proposed by Zhamak Delgahni in 2019. Forward-thinking organisations require a data mesh that addresses common nonfunctional requirements together with an operating model that recognises the strategic value of data. In this talk, we are glad to have Sarath Kummamuru, former CIO & CTO of Airtel Payments Bank together with our resident subject matter expert Gnanaguru Sattanathan to dive deeper into what it takes to build a Data Mesh for a bank and how data in motion or event streaming platform forms the bedrock of this new paradigm.
-
The Journey towards Data Mesh in Financial Industry
By:
Type: Replay
In a data-centric world, how to manage the business data correctly and embrace the ubiquity of data in the enterprise, it’s the question all businesses like insurance, banking, pharma and industrial, have to answer. Data mesh is an architectural paradigm that has slowly gained traction since it was first proposed by Zhamak Delgahni in 2019. Forward-thinking organisations require a data mesh that addresses common nonfunctional requirements together with an operating model that recognises the strategic value of data. In this talk, we are glad to have Sarath Kummamuru, former CIO & CTO of Airtel Payments Bank together with our resident subject matter expert Gnanaguru Sattanathan to dive deeper into what it takes to build a Data Mesh for a bank and how data in motion or event streaming platform forms the bedrock of this new paradigm.
-
Data Center Architecture Strategy
By:
Type: Replay
Combining the Value of Private Cloud, CI and HCI Is your organization interested in standardizing and automating operations on-premises as you transition to hybrid/multi-cloud? Improve your strategy by learning about: • Trends and best practices for modernizing data center infrastructure and operations at scale • A joint Dell Technologies-Cisco engineered and automated spine-leaf data center architecture • Ways to incorporate converged and hyperconverged infrastructure and local/ephemeral storage • Key use cases, supported products and tips on how to get started • Recent survey of organizations who have deployed this architecture and measured outcomes Host: Neeloy Bhattacharyya, Director, Data Center Architecture, Dell Technologies Panelists: • Alex Arcilla, Validation Analyst, ESG • Rajiv Thomas, Platform and Solutions Sr. Mgr., Cloud Infrastructure and Software Group, Cisco • Tony Jeffries, Product Manager, VxBlock 1000 and Vscale Architecture, Dell Technologies
-
Increase the Value of your EA Practice - Assess your EA Maturity with LeanIX
By:
Type: Talk
Increasing the maturity of enterprise architecture (EA) impacts its relevance in the organization. When stakeholders better recognize enterprise architecture's benefits and added value, more teams across the organization get involved in strategic decisions and initiatives, leading to a more reliable outcome. Nevertheless, enterprise architects often hyper-focus on the data and miss the opportunity to catalyze positive organizational transformations. A mature EA practice enables organizations to achieve better strategic alignment, optimize resources, and drive innovation.Grab the opportunity to recalibrate your organization's EA trajectory by participating in this webinar. Dominik Söhnle, Senior Consultant at LeanIX, will provide insights into prevailing trends and challenges in the EA landscape. Moreover, he will unveil LeanIX's EA Maturity Assessment tool, which enables you to assess your as-is EA maturity and share how you can increase the value of your EA practice. What Awaits You: - Gain a profound understanding of why EA is relevant and what are the drivers of EA. - How EA can support the most relevant goals of the business. - Discover LeanIX's unique EA Maturity Assessment tool, meticulously built to evaluate the EA maturity of your organization across four key dimensions - data, technology, organization, and use case. - Leveraging the assessment findings, gain insights into recommendations for actionable wins and best practices for the long-term evolution of your enterprise architecture.
-
Moet Hennessy Leverages Enterprise Architecture for SAP S/4HANA Transformation
By:
Type: Talk
To stay ahead of the competition in an ever-changing environment, a modernized IT foundation is key. Go inside Moet Hennessy’s SAP S/4HANA Transformation Journey as they show you how they built a high-performing, secure, available IT backbone that supports all its core operations and serves as a foundation for their modernization journey. Learn from Moet Hennessy and LeanIX how Enterprise Architecture served as the linchpin to help secure the migration to SAP S/4HANA and was the key enabler for a successful large-scale rollout. Key Takeaways: ⇨ Understand Moet Hennessy’s Enterprise Architecture framework and core tools that they used to modernize their foundation and scale up their organization. ⇨ Learn how they upskilled their organization to support all the key areas of their transformation project from business case building to building data models and support structures for their global initiative. ⇨ Delve into their value-driven approach to implementing an Enterprise Architecture platform, from use case to data management to impact on the organization.
-
Business Architecture and Architecture Driven Modernization
By:
Type: Video
Architecture Driven Modernization involves taking a holistic approach to transforming application, data and technical architectures, which includes applying a business-driven approach through business architecture. The OMG Architecture Driven Modernization Task Force has been developing industry standards for the past 15 years for assessing, representing and measuring software systems from a variety of perspectives. The presentation will cover: *Business-driven IT architecture transformation *Architecture transformation challenges, expectations and realities *Architecture-driven modernization case studies and reference points *A discussion of standards supported by the OMG Architecture-Driven Modernization Task Force (ADM TF)
-
Evolving Toward a Real-Time Data Warehouse
By:
Type: Video
In the last decade, the rise of the cloud data warehouse, led by platforms like Redshift, has helped to modernize data warehousing by providing scalability, convenience, and most importantly flexibility and openness to a very important class of data workloads. Once this data was available in the cloud, it became possible to utilize it for additional business purposes, including customer-facing real-time analytics, by integrating with real-time data warehouses like ClickHouse. In this talk, we will introduce the concept of a real-time data warehouse by describing where it sits in the data architecture, how it addresses the needs of real-time applications, and showing why it is evolving to be a key part of any modern data stack.
-
Building a Data Architecture that Adds Value to Your Business
By:
Type: Talk
Many organizations are rightly focusing on making sure that their data is being managed, governed, and quality controlled. While this is necessary, it is not enough to add value to the business. For this investment to pay off, the data has to be used to drive decisions. This is easier said than done, and requires careful planning upfront to ensure that your architecture is built in a way that will be able to do more than reporting. I will discuss what steps you need to take before you go too far in your data journey. Key Takeaways: Learn what is needed for your data investment to pay off. What are some common mistakes? What to watch for in the coming years?
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Video
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Stream me to the Cloud (and back) with Confluent & MongoDB
By:
Type: Replay
Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back. Key Learnings Modernize your architecture without revolutionizing it. Stream your data from multiple applications and data centers into the Cloud and back Confluent as the Central Nervous System of your architecture MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications Why MongoDB and Confluent is such a great combination This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
-
Unleash The Power Of AI In Your Organization: Introducing One Beyond's AI Assessment
By: One Beyond
Type: Product Overview
One Beyond's AI Assessment helps businesses find AI integration opportunities by evaluating workflows, data readiness, automation potential, and technical architecture. In this overview, discover how an AI-first approach can enhance your software.
-
Data-driven success: How modern data architecture unleashes business value
By:
Type: Replay
In today’s rapidly evolving business landscape data plays a critical role. Modern data architecture provides the tools and practices to harness the power of data and turn it into strategic advantage. Whether it is data lakehouse, data fabric, data mesh or cloud data governance modern data architecture is enabling business leaders to make better decisions, quicker. In this talk, Rajeev Pai, Director of Technology Strategy & Transformation at Deloitte, will explore what does modern data architecture entail and how it can be used to unlock business value. Key takeaways: - The need for newer ways for bringing, processing and distributing data in the enterprise. - Leading patterns and practices organizations are adopting in this journey with examples. - Challenges organizations may face when adopting some of these new approaches. - And how to overcome those challenges. Whether you are a business leader looking to drive growth and innovation or a data professional seeking to help your business this talk will provide valuable insights from frontline and research. About the speaker: Rajeev is a leader in the space of Technology Consulting & Transformation with over 20 years of experience across the globe in the financial services industry, helping business leaders navigate change. He combines deep domain expertise in Capital Markets F2B Processes and Banking to provide thought leadership and tailored advise while challenging business leaders to achieve their vision. He is experienced in large scale System Integration, Platform Re-engineering, Enterprise Architecture, Enterprise Data Management (Data Strategy, Architecture and Management), Analytics & Data Visualisation, Operating Model constructs, Design Thinking, and has strong familiarity with Emerging Tech. He is a certified in Business Sustainability Management from the Cambridge Institute of Sustainability Leadership(CISL).
-
Accelerate Disaggregated Storage to Optimize Data-Intensive Workloads
By:
Type: Talk
Thanks to big data, artificial intelligence (AI), the Internet of things (IoT), and 5G, demand for data storage continues to grow significantly. The rapid growth is causing storage and database-specific processing challenges within current storage architectures. New architectures, designed with millisecond latency, and high throughput, offer in-network and storage computational processing to offload and accelerate data-intensive workloads. Join technology innovators as they highlight how to drive value and accelerate SSD storage through the specialized implementation of key value technology to remove inefficiencies through a Data Processing Unit for hardware acceleration of the storage stacks, and a hardware-enabled Storage Data Processor to accelerate compute-intensive functions. By joining, you will learn why SSDs are a staple in modern storage architectures. These disaggegated systems use just a fraction of computational load and power while unlocking the full potential of networked flash storage.
-
Accelerate Disaggregated Storage to Optimize Data-Intensive Workloads
By:
Type: Talk
Thanks to big data, artificial intelligence (AI), the Internet of things (IoT), and 5G, demand for data storage continues to grow significantly. The rapid growth is causing storage and database-specific processing challenges within current storage architectures. New architectures, designed with millisecond latency, and high throughput, offer in-network and storage computational processing to offload and accelerate data-intensive workloads. Join technology innovators as they highlight how to drive value and accelerate SSD storage through the specialized implementation of key value technology to remove inefficiencies through a Data Processing Unit for hardware acceleration of the storage stacks, and a hardware-enabled Storage Data Processor to accelerate compute-intensive functions. By joining, you will learn why SSDs are a staple in modern storage architectures. These disaggegated systems use just a fraction of computational load and power while unlocking the full potential of networked flash storage.
-
Accelerate Disaggregated Storage to Optimize Data-Intensive Workloads
By:
Type: Talk
Thanks to big data, artificial intelligence (AI), the Internet of things (IoT), and 5G, demand for data storage continues to grow significantly. The rapid growth is causing storage and database-specific processing challenges within current storage architectures. New architectures, designed with millisecond latency, and high throughput, offer in-network and storage computational processing to offload and accelerate data-intensive workloads. Join technology innovators as they highlight how to drive value and accelerate SSD storage through the specialized implementation of key value technology to remove inefficiencies through a Data Processing Unit for hardware acceleration of the storage stacks, and a hardware-enabled Storage Data Processor to accelerate compute-intensive functions. By joining, you will learn why SSDs are a staple in modern storage architectures. These disaggegated systems use just a fraction of computational load and power while unlocking the full potential of networked flash storage.
-
Accelerate Disaggregated Storage to Optimize Data-Intensive Workloads
By:
Type: Talk
Thanks to big data, artificial intelligence (AI), the Internet of things (IoT), and 5G, demand for data storage continues to grow significantly. The rapid growth is causing storage and database-specific processing challenges within current storage architectures. New architectures, designed with millisecond latency, and high throughput, offer in-network and storage computational processing to offload and accelerate data-intensive workloads. Join technology innovators as they highlight how to drive value and accelerate SSD storage through the specialized implementation of key value technology to remove inefficiencies through a Data Processing Unit for hardware acceleration of the storage stacks, and a hardware-enabled Storage Data Processor to accelerate compute-intensive functions. By joining, you will learn why SSDs are a staple in modern storage architectures. These disaggegated systems use just a fraction of computational load and power while unlocking the full potential of networked flash storage.