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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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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 the versatility of data lake models, increasing the value of visualizations, and accelerating self-service BI. Find out to make it easier to handle big data, overcome traditional data warehouse limitations, and increase efficiency with automation.
Posted: 24 Aug 2016 | Published: 31 Oct 2015

Intel Corporation

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 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

Developing a Strategy for Data Lake Governance
sponsored by Zaloni
WEBCAST: Access this webinar to learn about how to develop the best data lake governance strategy to fit your organization's goals. Discover how to start building and managing your data lake while enabling it to deliver valuable, actionable business insight.
Posted: 17 Aug 2016 | Premiered: May 18, 2016

Zaloni

Realizing the Promise of a Data Lake
sponsored by Zaloni
WHITE PAPER: From 2010 to 2020, the amount of data is expected to increase by 20 times, with 77% of relevant data being unstructured. Learn why enterprise data warehouses (EDWs) can't always deliver the necessary insights and discover how Hadoop data lakes can pick up where EDWs leave off.
Posted: 16 Aug 2016 | Published: 16 Aug 2016

Zaloni

Data Lakes: The 360-Degree Approach
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

Defining the Data Lake and Common Use Cases
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

Architecting Data Lakes: 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

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

Product Tour: IBM PureData System for Analytics
sponsored by IBM
RESOURCE: Explore this interactive resource to learn more about how data analytics technology can enable you to master risk and compliance, accelerate time-to-insights, and more.
Posted: 19 Jul 2016 | Published: 19 Jul 2016

IBM

An Integrated Platform Approach Brings IT Goals within Reach
sponsored by Red Hat
WHITE PAPER: IT is taking advantage of new aggregations of servers, open source operating systems, and in-memory technology to accelerate business transformation. Discover how these tools can help leverage big data and analytics, modernize the data warehouse, and more.
Posted: 19 Jul 2016 | Published: 19 Jul 2016

Red Hat

A Data Warehouse for Big Data and Beyond
sponsored by IBM
MICROSITE: Considering how much business decisions now rely on data, your data warehouse needs to be optimized and modernized. Learn how to update your warehouse and see what services it will need to provide in the era of big data.
Posted: 18 Jul 2016 | Published: 31 Dec 2015

IBM

Research Report: Data Warehouse Modernization in the Age of Big Data Analytics
sponsored by IBM
WHITE PAPER: An overwhelming 89% of businesses consider data warehouse modernization an opportunity. This comprehensive TDWI research report highlights insights from a recent survey on data warehouse modernization to help you identify the trends that matter most to your organization. Also explore the top 12 priorities for data warehouse modernization today.
Posted: 15 Jul 2016 | Published: 01 Apr 2016

IBM

Architecting A Platform For Big Data Analytics
sponsored by IBM
WHITE PAPER: This Intelligent Business Strategies paper explains the new technical and data requirements for identifying, processing, and analyzing data. Discover how to become a disruptor by gaining an understanding of shifting customer behavior.
Posted: 15 Jul 2016 | Published: 31 Mar 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

Augment and Extend the Life of Your Data Warehouse
sponsored by IBM
WHITE PAPER: Learn how organizations currently using a high powered data warehouse appliance can augment and extend the life of their data warehouses with industry-leading cloud data services. Discover tips for "future-proofing" your data warehouse and more.
Posted: 05 Jul 2016 | Published: 31 Oct 2015

IBM

Cloud-based data warehousing as-a-service, built for analytics
sponsored by IBM
MICROSITE: Discover how a cloud-based data warehouse service offers integrated analytics to rapidly deliver answers. IBM's dashDB offers unique in-database analytics, R predictive modeling, and business intelligence tools could free you to analyze your data and get precise insights, quicker.
Posted: 21 Jun 2016 | Published: 31 Jul 2015

IBM

30-Day dashDB: Test Drive Data Warehousing and Analytics Functionalities
sponsored by IBM
TRIAL SOFTWARE: A well-designed data warehouse system can help boost the corporate bottom line, but if you aren't careful, data warehouse performance can bog down in different places. Start a free 30-day trial to dashDB, a fully-managed cloud data warehouse built specifically for analytics. Take their data warehousing and analytics capabilities for a test drive.
Posted: 21 Jun 2016 | Premiered: 17 Jun 2016

IBM

Cloud-based data warehousing as-a-service, built for analytics
sponsored by IBM
WHITE PAPER: Traditional data warehousing has long been a painstaking endeavor, but today you have other options. Read on to learn about a fully managed, cloud data warehouse solution and the benefits it could help you realize.
Posted: 17 Jun 2016 | Published: 31 Jul 2015

IBM

A Data Warehouse for Big Data and Beyond
sponsored by IBM
MICROSITE: Considering how much business decisions now rely on data, your data warehouse needs to be optimized and modernized. Learn how to update your warehouse and see what services it will need to provide in the era of big data.
Posted: 17 Jun 2016 | Published: 31 Dec 2015

IBM

Getting More Out of Hadoop Data Lakes and Big Data
sponsored by IBM
EGUIDE: This in-depth guide provides expert insights into the challenges posed by big data today and how technology is advancing to help overcome them. Learn what to consider before adopting a data lake, how Hadoop is coming closer to bridging the enterprise data warehouse gap, and more.
Posted: 07 Jun 2016 | Published: 07 Jun 2016

IBM

Data Warehousing in the Cloud
sponsored by IBM
WHITE PAPER: Using a cloud-based data warehouse provides value. Uncover ways this approach to data warehousing can reduce startup costs, potentially eliminate ongoing maintenance costs, accelerate analysis, and more.
Posted: 23 May 2016 | Published: 23 May 2016

IBM

Preparing Your Data Architecture for Big Data Analytics
sponsored by Hewlett-Packard Enterprise
EGUIDE: While big data can provide actionable insights to drive business value, your enterprise can't experience those benefits without the right data architecture in place first. In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project.
Posted: 25 May 2016 | Published: 16 May 2016

Hewlett-Packard Enterprise
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