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Tactical Data Warehouse Development

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Big Data Challenges and Pitfalls
sponsored by IBM
EGUIDE: This expert e-guide from SearchDataManagement.com walks you through the key challenges and common pitfalls of big data and offers advice to help you conquer these issues.
Posted: 11 Mar 2014 | Published: 11 Mar 2014

IBM

How Big Data Technologies Can Augment and Complement Your Data Warehouse
sponsored by IBM
EBOOK: As more organizations being taking advantage of the wealth of big data technologies available, savvy businesses are realizing the potential to optimize their existing data warehouses (DWs). In this e-book, learn how big data technologies can augment and complement your existing data warehouses, and discover specific DW augmentation use cases.
Posted: 14 Jul 2014 | Published: 28 Feb 2013

IBM

Apache Hadoop* Framework Spotlight: Apache Hive*
sponsored by Intel
WHITE PAPER: This brief resource examines the true value of Apache Hive, a SQL engine for the Apache Hadoop framework. Inside, learn how Hive's facilities for data and metadata management are impacting the existing warehouse infrastructure and driving business success.
Posted: 29 May 2013 | Published: 31 Mar 2013

Intel

Mastering SAP HANA Data Modeling for Maximum Performance
sponsored by HP and CenturyLink Technology Solutions
EGUIDE: SAP HANA offers new levels of data modeling that exceeds what's possible with traditional relational database management systems (RDBMS). While data is still stored in tables, how the storage model is designed differs greatly from traditional RDBMS, resulting in better compression and faster reads.
Posted: 26 Nov 2013 | Published: 26 Nov 2013

HP and CenturyLink Technology Solutions

SQL Server 2012 PolyBase for Parallel Data Warehouse
sponsored by HP
VIDEO: This brief video introduces SQL Server 2012 PolyBase for parallel data warehouse, which combines the relational database world with the world of unstructured data and Hadoop – allowing you to improve data-fueled decision-making.
Posted: 28 Oct 2013 | Premiered: 26 Feb 2013

HP

The fast lane to insight: Accelerating analytics from the department to the enterprise
sponsored by IBM
WHITE PAPER: This resource explores the limitations and challenges of existing data warehousing tools, and introduces a data warehouse strategy that can help you accelerate analytics and drive business success.
Posted: 28 Oct 2013 | Published: 30 Apr 2013

IBM

Extreme Warehouse Speed for Fast Business Decisions
sponsored by IBM
WHITE PAPER: This e-book explores how forward-looking organizations like yours are using extremely rapid, highly effective analysis of data to change the way they make decisions – enabling them to predict shifts in business and proactively adjust for better business outcomes.
Posted: 03 Sep 2013 | Published: 31 Dec 2012

IBM

Delivering Trusted Information for Big Data and Data Warehousing
sponsored by IBM
WHITE PAPER: This resource examines how an integration and governance strategy can help you deliver trusted information for big data and data warehousing. Read on to learn how you can set the stage for more effective, reliable decision-making.
Posted: 18 Dec 2013 | Published: 31 Dec 2012

IBM

Best Practices for Implementing a High-Performance Data Warehouse
sponsored by SAS
WHITE PAPER: There are more new forms of data today than ever before, and traditional business intelligence systems cannot always handle the amount of stress from this influx of information.  Check out this white paper to discover a system known as 'high performance data warehousing' that can help you successfully analyze and glean insights from your big data.
Posted: 11 Apr 2013 | Published: 31 Dec 2012

SAS

Understanding Oracle business intelligence and analytics
sponsored by ParAccel
EGUIDE: In this SearchOracle.com expert e-guide, read a Q&A that dives into the topics covered at the annual summit held this January by the business intelligence (BI) special interest group within the Independent Oracle Users Group (IOUG), including  advanced Oracle analytics, connectors to Hadoop, the R statistical programming language, and big data.
Posted: 17 Jan 2013 | Published: 10 Jan 2013

ParAccel
 
 
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