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Data Warehouse Architectures

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ALSO CALLED: Tactical Data Warehouse Development
DEFINITION: An integrated set of products enabling the extraction and transformation of data to be loaded into a database for end-user analysis and reporting.
Data Warehouse Architectures Reports
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Data Warehouse Approaches to Meet Today's Analytics Demands
sponsored by IBM
RESOURCE: It's time to consider if a traditional data warehouse is up to the challenge of modern analytics requirements. Explore how a new kind of data warehouse can help with unstructured and streaming data.
Posted: 23 Mar 2018 | Published: 31 Dec 2017


The Hybrid Data Warehouse: Fluid, Flexible, and Formidable
sponsored by IBM
RESOURCE: The challenge for companies today, particularly those beholden to legacy systems and IT bureaucracy, is that this growing demand for analytics often outstrips their ability to service it. Explore how a hybrid data warehouse can help.
Posted: 23 Mar 2018 | Published: 30 Jun 2016


Data Lakes Purposes, Practices, Patterns, and Platforms
sponsored by Talend
RESOURCE: 82% of users are now dealing with evolving data types, structures, sources and volumes, according to TDWI. Data lakes provide a way to manage different kinds of data, such as big data. Tap into this TDWI survey of the top benefits of data lakes.
Posted: 22 Mar 2018 | Published: 31 Dec 2017


Data Warehouse Appliances and the New World Order of Analytics
sponsored by IBM
WHITE PAPER: A single data warehouse might not be able to handle all of your analytics needs anymore. Explore the capabilities of an extended data warehouse architecture and discover how it differs from a traditional structure.
Posted: 20 Mar 2018 | Published: 31 Aug 2017


A Modern Data Warehouse Powering Advanced Analytics
sponsored by Amazon Web Services
RESOURCE: When businesses struggle to manage their data, analytics can become difficult – maybe even impossible. In this e-book, explore how a modern data warehouse can set you up to extract actionable insights through effective analytics.
Posted: 09 Mar 2018 | Published: 31 Dec 2017

Amazon Web Services

Highly Elastic Cloud Data Warehouse Supports a Hybrid Architecture
sponsored by IBM
WHITE PAPER: Explore how a fully managed and highly elastic cloud data warehouse supports a hybrid architecture and enables efficient data movement between an on-premises location, a public cloud and a private cloud.
Posted: 07 Mar 2018 | Published: 31 Jan 2018


The Hybrid Data Warehouse: Fluid, Flexible, and Formidable
sponsored by IBM
RESOURCE: Explore how a hybrid data warehouse can help you maximize modern technologies and deployment styles for both on-premises and cloud deployments.
Posted: 06 Mar 2018 | Published: 30 Jun 2016


Successful Data Warehouse Approaches to Meet Today's Analytics Demands
sponsored by IBM
WHITE PAPER: Find out how to support increasingly demanding transactional and analytic workloads so that you can enable more intelligence-driven decision-making by creating a hybrid data warehouse architecture.
Posted: 05 Mar 2018 | Published: 31 Dec 2017


Bridging to the Cloud: The Right Database can Make the Difference
sponsored by IBM
WHITE PAPER: Learn about 7 factors that you should consider when making a strategic commitment to a database platform that acts as a bridge between legacy environments and the cloud.
Posted: 05 Mar 2018 | Published: 31 Aug 2017


The Enterprise Data Warehouse Lives on the Beating Heart of the Data Lake
sponsored by Hortonworks
WHITE PAPER: Your enterprise might think it has to choose a data lake or a date warehouse, but there is a way to have both. Discover how the 2 technologies can be complementary and still cost-effective.
Posted: 26 Feb 2018 | Published: 31 Dec 2017


Back to the Future: Reclaiming the Vision of Data Centralization
sponsored by Looker
WHITE PAPER: Explore how you can create a centralized data model that becomes a common language, which empowers collaboration across departments.
Posted: 15 Jan 2018 | Published: 15 Jan 2018


Five Reasons You're Not Getting the ROI You Expect from Your Cloud Data Warehouse Investment
sponsored by Looker
WHITE PAPER: There would be no point in buying an iPhone to use it only as a watch, and the same goes for cloud data warehousing. To completely fulfill the promise of a cloud data warehouse, you must take advantage of what the cloud makes possible. Learn 5 ways you may be sabotaging the success of your cloud data warehouse, and find 3 ways to move forward.
Posted: 11 Jan 2018 | Published: 02 Nov 2017


Run Critical Databases in the Cloud
sponsored by Oracle Corporation UK Ltd
WHITE PAPER: This white paper explores the question of whether or not a public cloud is suitable place to house your key databases. Learn about the Oracle Database Cloud, and find out how you can leverage a secure database as a service (DBaaS) platform.
Posted: 10 Jan 2018 | Published: 31 Dec 2017

Oracle Corporation UK Ltd

The Power of DataOps and Digital Transformation
sponsored by Delphix
VIDEO: In this webcast, Eric Schrock, CTO at Delphix, discusses data challenges in the cloud, and approaches he's seen to be effective for organizations moving to the cloud. Uncover insights on cloud adoption, and how you can use DataOps to power a digital transformation, reduce data friction and more.
Posted: 21 Nov 2017 | Premiered: 15 Nov 2017


The Modern Approach to Business Intelligence
sponsored by Tableau Software
WHITE PAPER: Whether you're working with data in spreadsheets, warehouses, or across disparate data sets, this white paper explores how to improve analytics and access to real-time insights. Uncover the 7 key attributes that are shaping the modern approach to business intelligence.
Posted: 10 Aug 2017 | Published: 10 Aug 2017

Tableau Software

Vitria VIA IoT Analytics Platform Overview
sponsored by Vitria Technology, Inc.
VIDEO: This brief webcast examines Vitria and their real-time IoT analytics platform. Learn how to generate faster insights to drive smarter decision-making and bolster IoT business strategies, predictive analytics, data visualizations, and more.
Posted: 07 Jul 2017 | Premiered: 07 Jul 2017

Vitria Technology, Inc.

Analytics in Action: Tackling the Big Data Headache
sponsored by SAS
RESOURCE CENTER: Find out how to take the big data challenge and turn it into a golden opportunity for your company with new approaches to data management and analytics. Learn about 5 steps to maximize the value of Hadoop and your data warehouse, 3 use cases for predictive analytics, and more.
Posted: 01 Jun 2017 | Published: 01 Jun 2017


Better Together? Hadoop and Your Enterprise Data Warehouse
sponsored by SAS
RESOURCE CENTER: Explore ways to overcome the challenges of moving your entire data warehouse to Hadoop. Plus, hear from big data expert Tom Davenport on augmenting small data projects with Hadoop big data initiatives.
Posted: 25 May 2017 | Published: 25 May 2017


Microsoft Cosmos DB: The New Flagship Internet Database of Azure
sponsored by Microsoft
RESEARCH CONTENT: This Ovum research report examines Microsoft's Cosmos DB, the newest incarnation of its existing cloud-based Azure DocumentDB NoSQL database. Learn about the ongoing evolution of cloud-native database capabilities and find out how you can increase the flexibility and scalability of your database.
Posted: 02 Feb 2018 | Published: 12 Jun 2017


Cloud-Based BI and Analytics Systems Start Taking a Firmer Shape
sponsored by SearchBusinessAnalytics
EBOOK: In this expert handbook, explore the current state of cloud BI and analytics adoption and examine how companies like Lenovo are migrating big data and predictive analytics to the AWS cloud.
Posted: 24 Aug 2017 | Published: 29 Jun 2017


Big Data Poses Weighty Challenges for Data Integration Best Practices
sponsored by SearchDataManagement
EBOOK: Organizations that deploy big data platforms are finding that they also need an upgraded data integration framework to meet rising demands. In this expert handbook, uncover advice on how to navigate the demands of big data architectures, high volume data warehousing, and data lakes by updating your data integration strategy.
Posted: 15 Mar 2017 | Published: 28 Mar 2017


Data Warehousing Is Improved By Integrating Big Data Capabilities
sponsored by IBM
EGUIDE: Both big data and data warehousing systems experience increased performance when they work together. In this expert e-guide, uncover the importance of data warehouses' storage and organization abilities, and learn how they can be combined with the increased analytics power of big data systems to provide improved insights.
Posted: 20 Oct 2016 | Published: 20 Oct 2016


Improving Manufacturing with Advanced Data Analytics
sponsored by Intel Corporation
WHITE PAPER: Increasing complexity in products, manufacturing processes, and the Internet of Things (IoT) means that massive amounts of data are being generated every day. Find out how to address 3 of the biggest challenges of data management with integrated analytics so you can reduce costs, improve process cycle time, and speed up time to market.
Posted: 24 Aug 2016 | Published: 31 May 2016

Intel Corporation

Integrated Analytics: Manage the Growing Diversity of Sales and Marketing Data Sources
sponsored by Intel Corporation
WHITE PAPER: This white paper explores how to enable an integrated analytics approach by leveraging data lake models, visualizations, and self-service BI. Find out to simplify big data, overcome traditional data warehouse limitations, and increase efficiency with automation.
Posted: 24 Aug 2016 | Published: 31 Oct 2015

Intel Corporation

An Integrated Approach: Analytics, Data Warehouses, Big Data and More
sponsored by IBM
WEBCAST: Find out how you can leverage an integrated appliance to make data computing simpler. You'll discover how to bring analytics right into the database, add agility, and eliminate siloes. Additionally, you'll learn how to optimize the performance of data warehouse services for analytic apps, including those that require big data capabilities.
Posted: 19 Aug 2016 | Premiered: Aug 19, 2016

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