How One E-Commerce Platform Went From Data Mistrust to Data Confidence
By: Google Cloud & AMD View more from Google Cloud & AMD >>
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Building data products with data mesh and data fabric
By: Starburst Data
Type: Webcast
Flawed decisions due to poor data quality, inaccuracies, and inconsistencies can result in high costs for an organization due to lost opportunities and reputational damages. Data consumers need to be able to trust their data to be confident in the downstream decisions that are being made with their analyses.
So, how can you ensure that you are delivering reliable data to your customers?
In this webcast, you’ll learn about a data product platform equipped with the tools you need to rapidly connect data consumers with high-quality, reliable data sets. Tune in to learn how you can leverage data mesh and data fabric technology to build valuable data products that deliver real-time insights.
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Deliver Data Products with Data Intelligence
By: Alation
Type: White Paper
To realize the value of the huge investment that companies are making, a productization approach is now being applied to data. More and more, data is being packaged into consumable, ready-to-use elements. It’s data as a product.
Read on to learn how you can enable data consumers to look beyond warehouses and custom data processing and use reliable and consistent data to deliver business outcomes, including 8 key steps designed to show you how to get started with data products using a data catalog.
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Infographic: Comparing data protection vs. data security vs. data privacy
By: TechTarget ComputerWeekly.com
Type: Infographic
An organization's data is one of its most valuable assets and must be protected accordingly. Because there are so many ways an organization's data could potentially be lost or compromised, organizations must take a multifaceted approach to ensure the well-being of their data. This means focusing on three key areas: data protection, data security and data privacy.
In this infographic, we compare data protection, data security and data privacy, their goals and main characteristics, as well as key differences and similarities between the three concepts.
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Rethink data integration for the age of big data
By: TechTarget Data Management
Type: eGuide
This expert e-guide explores the need for new thinking around data integration in a big data world, and highlights key tools that can deliver the value you're looking for.
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Improve data governance with an intelligent data catalog
By: Alation
Type: White Paper
Inside, discover how to innovate your existing data governance strategy with the help of an intelligent data catalog. Explore how an intelligent data catalog can help streamline operational compliance with data governance expectations, and decide if an intelligent data catalog is right for your organization's data governance goals.
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Data maturity model: The path to data excellence
By: Alation
Type: White Paper
How do “data mature” firms become that way, and how can others do the same? This white paper introduces a data maturity model to provide a common framework for benchmarking and advancing data management capabilities. Read on to learn how you can drive success on your own data maturity journey.
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Data governance for data-driven organizations
By: IBM
Type: eBook
This eBook analyzes several topics related to data governance and privacy such as scalability, establishing and implementing organization-wide standards, and data lineage and traceability.
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Data Quality: Getting Started with a Data Catalog
By: Alation
Type: White Paper
Bad data in your data platform can result in poor business decisions - but bad data quality in your operational systems can be catastrophic. To make data work, a set of core needs must be met. This white paper outlines those needs as well as concepts that can help you meet the demand for accurate and reputable data. Read on to learn more.
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Hybrid cloud data & analytics: New frontier for data at the edge
By: Hewlett Packard Enterprise
Type: White Paper
Conventional data management systems create data silos and complexity that are at odds with the need for agility in a global enterprise. As a result, data management can’t keep pace with business requirements. Learn how a hybrid cloud-based solution can simplify operations and data management so you can turn your data into intelligence.
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What's all this talk about data mesh?
By: TechTarget ComputerWeekly.com
Type: eGuide
Data mesh is a new approach aims to make data more accessible, usable and valuable to the organization by creating a more flexible, scalable and collaborative data architecture. In this article, we point out some of the benefits and challenges of data mesh, and how to set up the right culture and infrastructure to make the most of this approach.
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How to get more out of your industrial data
By: HighByte
Type: White Paper
Although most industrial companies have been able to load their data in their Unified Namespace (UNS), many are finding that they are unable to use it effectively. In this white paper, you’ll discover how you can unlock the necessary capabilities to contextualize your data and maximize the value of your UNS. Read on to learn more.
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Alation Data Dialogs: Why Your Data Governance Strategy Needs a New Approach
By: Alation
Type: Webcast
As organizations rely more and more on data analytics to help optimize operations, outdated data governance strategies become greater and greater risks to their enterprises. Check out this webinar and learn how data governance specialists from Alation can help your enterprise shore up the weaknesses in its governance strategies.
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Data governance more important now than ever
By: TechTarget ComputerWeekly.com
Type: eGuide
As organisations generate and store ever-increasing volumes of data, governance of that data has never been more important. In this e-guide, we discuss why good data governance is good business, why it's essential to data security and examine the state of GDPR after its first year being in effect.
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Managing data for AI and analytics at scale with an open data lakehouse approach: IBM Watsonx.Data
By: IBM
Type: Analyst Report
This IDC white paper discusses the topic of managing data used for broad-based AI and analytics use cases, both in the formal context of a data warehouse, and in the more dynamic context of a data lake.
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How to Craft Data Quality and Master Data Management Strategies (Podcast)
By: Semarchy
Type: Podcast
If you’re looking for an ideal case study for how MDM drives enterprise reinvention, agility, and growth, this is it. In this podcast with Eckerson Group, you’ll learn why enterprises need data quality and MDM, and how they can craft effective strategies with real-life use cases. Tune in to learn more.
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The Role of Data Management in a Modern Data Ecosystem (Replay)
By: Semarchy
Type: Webcast
Looking to explore the rise of Modern Data Ecosystems and new approaches to data management? Tune in to this webinar to keep up to date with today’s top data management challenges, with exclusive insights from leaders in the space.
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Extracting the full business value of data with Starburst Data Products on AWS
By: Starburst Data
Type: eBook
Data products take away the complexity of data storage for consumers. For data engineers, however, it makes sense to take advantage of AWS tools and capabilities to optimize for speed and efficiency. Read on to learn how you can operationalize an AWS data lake and manage it for the purpose of data analytics with Starburst.
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Capitalizing on Big Data
By: TechTarget Business Analytics
Type: eGuide
This expert e-guide from SearchBusinessAnalytics.com explores the need for data-driven decision-making skills in the age of big data, and reveals Gartner's basic business rules for driving big data success. Read on to learn more.
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How to make your industrial data useful
By: HighByte
Type: Product Overview
Manufacturers and industrial organizations can produce more than a terabyte of data every day, but without the right tools and processes to refine that data, they are sitting on an abundant asset that cannot be leveraged in a meaningful way. Read on to understand how you can unlock the potential of industrial data for your organization.
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Choosing between data storage options for CCTV and surveillance data
By: Open-E
Type: Product Overview
In this product overview, explore the details of data storage requirements for CCTV and surveillance systems, the challenges to take into consideration, as well as best practices prepared by Open-E’s experts.
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Data Governance for Dummies
By: Alation
Type: Webcast
In this webcast, Jonathan Reichental, former CIO of Palo Alto, and Denise Swanson, a senior data governance strategist, shed light on what successful data governance looks like today and how to make it approachable for your organization. Tune in to gain expert insights on how to build an effective data governance program.
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How to protect your data, no matter where it is
By: Atlassian
Type: eBook
In most industries, the most important asset to an organization is data. The problem is that data is becoming more challenging to protect and secure, and this is no different in the cloud. If your data isn’t protected correctly, the cost of a breach can take down an entire organization. So, what are the challenges? Read on to find out more.
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Using LTE to send IoT data to the cloud or data center
By: Cradlepoint
Type: Product Overview
Open this solution brief to learn how to use LTE to send IoT data to the cloud or data center.
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Business analytics needs underpinnings of sound data and data-skilled humans
By: TechTarget ComputerWeekly.com
Type: eBook
Data analytics for the solution of first-order business problems is probably more important than ever. It is not new. Companies and organisations have been analysing computerised data for many decades. But all sorts of companies now pronounce themselves "data driven". Read more about business analytics trends in this exclusive e-guide.
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5 Ways A Data Fabric Generates Value—No Matter Where Your Data Is Located
By: Hewlett Packard Enterprise
Type: White Paper
Distributed data across cloud and edge environments add a whole new set of challenges for developers, data engineers, and scientists. Discover how automation removes management burdens from IT staff, while enabling self-service access to data for AI/ML modeling.
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It's complicated: how data integration lies at the heart of evermorecomplex data architectures
By: TechTarget ComputerWeekly.com
Type: eGuide
Data integration and preparation remains the knotty problem at the heart of many data management and business intelligence programmes.Demands on IT leaders in user organisations – especially large, complex ones – are and will continue to be equally complex and pressing as boards look to get business value from data. Read more in this e-guide.
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Big Data Analytics: How to work smarter with data-driven insights
By: TechTarget ComputerWeekly.com
Type: eGuide
In this e-guide, learn about the state of adoption of data analytics in Australia, how Commonwealth Bank is making analytics tools more accessible to small companies and how SAS is prepping its marketers for the data flood.
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Get Data Quality Right: A Guide for CDOs and Data Executives
By: Dataiku
Type: eGuide
Data quality and accuracy is an objective not only for businesses leading the way in machine learning and AI, but for anyone who deals with customer information or any kind of data. Studies show that poor data quality can cost companies upwards of 20% of their revenue according to Gartner. Read more about data quality and how you can achieve it.
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Linking Master Data Management to Big Data
By: IBM
Type: eGuide
How does Master Data Management (MDM) impact big data, and vice versa? In this e-guide, Gartner Research vice presidents Andrew White and John Radcliffe, and founder and chief research officer with the MDM Institute, Aaron Zornes, share their insights and advice on leveraging MDM tools and strategies to combat big data and other trends.
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Turn your data from liability to asset
By: Google Cloud
Type: eBook
Your data is your organization’s strongest asset – no matter the size of your organization or the industry you are in. Data is the key to discovering insights, informing great customer experiences, and driving innovation. In this Google Cloud guide, learn more about a data governance strategy that maximizes the value of your data.
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eBook: The data store for AI
By: IBM
Type: Landing Page
Data is the center of all organizations, but the full benefit of data is elusive due to how data is stored and accessed for analytics and AI. So how can your organization simplify data access and automate data governance all while reducing costs? Access this e-book to learn more.
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Big data analytics: Data warehouse vs Hadoop
By: SAS
Type: eGuide
When looking at the big picture, Hadoop isn't an effective replacement for your enterprise data warehouse. So how can you get the best of both worlds? This expert e-guide explores how Hadoop and the data warehouse can complement each other on business intelligence projects to help you gain strategic insights
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Streaming data platforms: Harnessing real-time data for instant action
By: Hazelcast
Type: Webcast
In this webcast, Hazelcast will review GigaOM’s findings about streaming data platforms with Andrew Brust, Principal Analyst at GigaOM and Blue Badge Insights, then explore practical use cases in financial services and other industries for architects and developers. Tune in to discover the potential of a streaming data platform for your business.
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Benefits of offensive data governance
By: Alation
Type: White Paper
It’s a data-driven world. So, how can your organization succeed in it? Read this white paper to learn how, by leveraging an offensive data governance strategy, you can catalyze your business’s growth.
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Data classification tools: What they do and who makes them
By: TechTarget ComputerWeekly.com
Type: eGuide
Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. In this article, learn more about how these tools can help keep your data tidy and which suppliers offer the best options in the market.
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Contextualized Data Where It Matters
By: HighByte
Type: Blog
There are several obstacles that IT teams must overcome in order to make IoT data usable for the organization. Access this blog post to learn why industrial DataOps is key for organizations that are looking to maximize the ROI of their digital investments and deliver contextualized data where it matters.
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Data center infrastructure:
By: Hitachi Vantara
Type: eBook
Legacy data center infrastructure was not designed to account for the emergence of cloud technology and all its related complications. Download this e-book to unlock 10 you should ask when updating data center infrastructure.
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Why No One Trusts Your Data — And How To Fix It
By: Alteryx
Type: eBook
Despite all the time you devote and money you spend, no one trusts your data. But you’re not alone in this struggle. Every company faces the same problems. So, what are the issues that lead to this lack of trust in data and how do you fix it? That’s the focus of this 8-page e-book. Download it now to learn how to create trust in your data.
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Security Big Data: Preparing for a Big Data Collection Implementation
By: TechTarget Security
Type: eBook
This expert e-guide from SearchSecurity.com offers realistic advice to help your enterprise information security team understand what technology and processes must be in place in order to properly and securely take advantage of big data.
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AI-Powered Data Automation
By: Reply
Type: eBook
The ability to process more data faster and present users with valuable results has never been more crucial. Read on to learn about the four main reasons why organizations should adopt AI-powered data automation to deal with the growing volume of unstructured and structured data and add value to their business.
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The ultimate guide to data preparation
By: TechTarget ComputerWeekly.com
Type: eGuide
Poor data equates to wrong decisions, bias in the AI algorithm and flawed decision-making. What's more, data that personally identifies an individual can only be used in very specific ways, as stipulated by GDPR. Read about data preparation in this e-guide.
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5 types of data security
By: TechTarget ComputerWeekly.com
Type: Infographic
Because no single form of data exists, no single magic-bullet technique can secure all data. A defense-in-depth data security strategy is made up of a combination of tools, techniques and policies. This infographic gives an overview of the must-have data security technologies.
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How to maximize your data for actionable insights
By: InterSystems
Type: Blog
New data tech enables financial firms to thrive amid volatility. 'Smart data fabrics' bridge data/app silos, powering real-time insights and analytics. They increase revenue, automate processes and enable AI for smarter decisions. Read how smart data fabrics can meet unique firm goals in this resource.
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Data Management Strategies for the CIO
By: TechTarget Data Center
Type: eBook
CIOs are turning to emerging forms of data management, including predictive business intelligence and information architectures, to harness the power of their data. Inside this expert e-book, gain insight on data management topics such as storage and retention policies, data protection and lifecycle management.
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Data modeling guide
By: Couchbase
Type: White Paper
This document describes core elements you will use to model and handle data in Couchbase CapellaTM (or Couchbase Server). It describes the ways you can structure individual JSON documents for your application, how to store the documents with a Couchbase SDK, and different approaches you may take when you structure data in documents.
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Unlock the power of intent data
By: TechTarget
Type: eBook
Intent data can help you prioritize accounts by capturing prospect activities and gauging the level of purchase interest. In this e-book, “Understanding Intent Data,” we detail the basics of intent data and show how to incorporate it into your marketing strategy.
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Data governance for all seasons and reasons
By: TechTarget ComputerWeekly.com
Type: eGuide
To promote business buy-in and avoid resistance to governance policies, programs should be business-driven, with data owners involved and the data governance committee making the decisions on standards, policies and rules. This infographic highlights some of the best practices for implementing and managing data governance programs.
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Optimizing your data-classification strategy
By: Novacoast
Type: Product Overview
Classifying your data is key to ensuring that it’s properly governed and secured. And as your volume of data grows, optimizing your classification strategy becomes even more important. In this overview, unlock insights that can help you improve your approach to data classification.
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How to make your industrial data fit for purpose
By: HighByte
Type: Blog
A modern industrial facility can easily produce a terabyte of data each day; unfortunately, not all of this data is usable or useful in its original form. This 7-step guide will help you process your industrial data and transform it into a useable, valuable source of insight. Read on to learn more about Industrial IoT data and its proper use.
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Unify and reduce your data footprint
By: Panzura
Type: Product Overview
With higher data volumes than ever before, many organizations struggle to extract the optimal value from their data due to its sheer scale. The new Edge gateway from Panzura is designed to link your data centers together in order to unify and reduce your overall data footprint. Read on to learn more.