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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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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

SAS

Five Things to Look for When Implementing a Data Warehouse
sponsored by IBM
WHITE PAPER: Discover a 5-step checklist for important criteria in selecting data warehouse technologies, backed by a recent study.
Posted: 24 May 2017 | Published: 24 May 2017

IBM

3 Ways to Modernize Your Data Strategy in Minutes
sponsored by Google
WHITE PAPER: Today's organizations are rushing to create actionable insights out of their big data, and this starts with modernizing data warehouses. This white paper provides 3 tips to making your warehouse stronger, smarter, and more profitable.
Posted: 23 May 2017 | Published: 23 May 2017

Google

Managing Data Complexity: Does Your Warehouse Measure Up?
sponsored by IBM
WHITE PAPER: Learn how to see an increase in revenue by receiving timely data. Access this quick guide to find your way to a Hybrid data warehouse report by Aberdeen Group.
Posted: 22 May 2017 | Published: 22 May 2017

IBM

How Hybrid Cloud Options Complement the On-Premises Data Warehouse
sponsored by Teradata
CASE STUDY: In this double case study, learn how Core Digital Media, an online marketing company, and an anonymous global mining company, adopted Teradata cloud to complement their on-premise data warehouses. Discover the benefits both realized, including lower costs and greater flexibility.
Posted: 18 May 2017 | Published: 23 Feb 2016

Teradata

The Current State of The Cloud Analytics and Data Warehouse Market
sponsored by Teradata
WHITE PAPER: As adoption of cloud software increases, organizations are evaluating the pros and cons of deploying software on the cloud – including data warehousing tools. In this IDC technology spotlight, uncover the current state of the cloud analytics market. Plus, learn about Teradata, a provider of big data analytics and marketing applications technology.
Posted: 17 May 2017 | Published: 01 Jun 2016

Teradata

How Dollar Shave Club Cuts The Competition With a Data Advantage
sponsored by Looker
CASE STUDY: How does a small e-commerce business with a good idea - and a great sense of humor - solve their data bottleneck and go up against leading retail giants to win? Ask Dollar Shave Club. In this case study, learn how this e-commerce upstart trimmed its data bottleneck considerably.
Posted: 09 May 2017 | Published: 09 May 2017

Looker

How to Achieve Personalized, Faster Data For Better Business Outcomes
sponsored by Microsoft
RESEARCH CONTENT: 80% of CEOs view data mining and analysis as strategically important. But as investment in data and analytics has risen, satisfaction in analytic capabilities has decreased. Inside this Forrester Research Inc. report, learn how to make today's data relevant, timely, and impactful to attain the CEO's mandate for the digital business.
Posted: 28 Apr 2017 | Published: 21 Dec 2016

Microsoft

The Enterprise-Wide Benefits of Real-Time Data
sponsored by Tealium
WHITE PAPER: Organizations that support real-time customer data enable marketers and data analysts to work with the same source, closing enterprise-wide gaps in insights. Read on to learn more about real-time data enrichment tools.
Posted: 22 Mar 2017 | Published: 22 Mar 2017

Tealium

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

SearchDataManagement

Drive Deeper Insights across Data with SQL Server 2016
sponsored by Microsoft
WHITE PAPER: Explore how SQL Server 2016 can help drive deeper insights into big data from both relational and non-relational sources, in the cloud and on-premise. Discover how SQL Server 2016 helps you store data in more formats at scale, open up data access, provide predictive analytics, and share insights on-premise, via the web, and through mobile devices.
Posted: 20 Feb 2017 | Published: 30 Jun 2016

Microsoft

Why Your Data Warehouse Needs a Data Lake and How to Make Them Work Together
sponsored by Zaloni
WHITE PAPER: Complementing your DW with a data lake can be a smart first step. But before tackling a DW augmentation project, it's a good idea to review your current resources and understand what you'll need. Explore 2 reasons why companies augment their DW, tips for seamlessly integrating a data lake into a DW, and more.
Posted: 19 Jan 2017 | Published: 19 Jan 2017

Zaloni

Why Cloud is The Future of Data Warehousing
sponsored by IBM
WHITE PAPER: This 2 page whitepaper explores how you can stay ahead in a world full of big data by combining the processing power of data warehousing with the agility and flexibility of the cloud. Find out how you can determine data quality with an automated efficiency query, advance processing so your entire dataset doesn't have to fit in-memory, and more.
Posted: 30 Sep 2016 | Published: 30 Sep 2016

IBM

Data Warehousing in the Cloud: An Essential Adoption Checklist
sponsored by IBM
RESOURCE: Discover how to glean greater business value from your data by utilizing a cloud-based data warehouse. Uncover a 7-point checklist that will facilitate easy adoption, including instructions on how to meet consistent performance requirements and proactively manage data connectivity.
Posted: 30 Sep 2016 | Published: 30 Sep 2016

IBM

A Data Warehouse for Big Data and Beyond
sponsored by IBM
WHITE PAPER: Considering how heavily business decisions now rely on data (and now big data), your data warehouse needs to be working at its maximum potential to handle the demands. If you're just exploring what's out there, or looking to optimize/modernize your warehouse, learn which services will be needed in the era of big data.
Posted: 19 Aug 2016 | Published: 31 Dec 2015

IBM

An Analytical Approach to your Data Architecture
sponsored by Zaloni
WHITE PAPER: With so much data available, managed data lakes are becoming crucial to the modern data architecture. Learn how they can give your enterprise the agility and scalability needed for timely discovery and valuable business insights from big data.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

Zaloni

An Analytics Use Case for Unified Data
sponsored by Zaloni
WHITE PAPER: In a time when the variety and volume of data is continuously growing, data lakes are an emerging and powerful architectural approach, providing much needed flexibility. Learn more about the differences between data lakes and EDWs, keys to data lake management, and common use cases.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

Zaloni

Data Management Architectures for Advanced Business Use Cases
sponsored by Zaloni
EBOOK: Data lakes allow for all data to be stored regardless of source or format, including new types of social media and IoT data. Access this e-book for a comprehensive guide to data lakes and determine whether a data lake or EDW is right for your business.
Posted: 12 Aug 2016 | Published: 04 Mar 2016

Zaloni

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

IBM

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

IBM

Hadoop Deployments: Maximizing Efficiency for Big Data Analytics
sponsored by IBM
EGUIDE: Many businesses recognize Hadoop as a premier cloud app framework, but they still don't know how to deploy Hadoop properly or prepare for its pitfalls. In this e-guide, we identify and explore some of the biggest Hadoop challenges. Find out how to resolve these issues and unlock the benefits of big data analytics.
Posted: 28 Jul 2016 | Published: 26 Jul 2016

IBM

Maximizing Your Data Lake with a Cloud or Hybrid Approach
sponsored by IBM
WHITE PAPER: Access this Aberdeen Research report to discover how a Hadoop-based data lake maintained in a cloud or hybrid environment can provide benefits such as greater access to data across the organization, enhanced accuracy in the analysis process, and more.
Posted: 14 Jul 2016 | Published: 31 May 2016

IBM

The Future of Data Warehousing Infrastructure and Architectures
sponsored by IBM
EGUIDE: This e-guide examines how a shift from traditional data warehousing (DW) appliances to an infrastructure that combines traditional DWs with big data technologies offers new opportunities for businesses to address needs such as costs, flexibility and agility while eliminating key technology silos.
Posted: 13 Jul 2016 | Published: 11 Jul 2016

IBM
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