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Data Ware-house Reports
 
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

The Value of Enterprise-Grade Data Management with Zaloni Bedrock
sponsored by Zaloni
ANALYST REPORT: Organizations are rapidly adopting Hadoop as the foundational technology for housing their data. But what's missing in platforms? In this analyst report from The Enterprise Strategy Group, uncover an overview of data management offerings from Zaloni.
Posted: 29 Jun 2017 | Published: 01 Jul 2016

Zaloni

AWS and Data Warehousing: Extending Your Data Analytics With The Right Tools
sponsored by Looker
PRODUCT OVERVIEW: Amazon Web Services (AWS) sets a standard for delivering customers a wide range of innovative cloud services. Learn about Amazon Webshift, which extends the power of AWS by providing a high-performance data warehousing tool and data management for today's new analytics workloads.
Posted: 11 May 2017 | Published: 11 May 2017

Looker

Analytics exploration – today and tomorrow
sponsored by ComputerWeekly.com
ANALYST REPORT: Analysts Clive Longbottom and Rob Bamford explain why businesses need to act now to create a business intelligence platform for the future.
Posted: 30 May 2014 | Published: 30 May 2014

ComputerWeekly.com

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

Shifting Sails in Oracle Big Data Management
sponsored by SearchOracle
EBOOK: Oracle's one size-fits-all data management strategy doesn't fit the -- varied and ever-evolving -- big data needs of organizations today.
Posted: 19 May 2014 | Published: 19 May 2014

SearchOracle

Big Data Era: Embrace Speed & Simplicity in your Data Warehouse for a Competitive Edge
sponsored by IBM
WHITE PAPER: This white paper provides insight into what modern data warehouses need to accomplish to be relevant. Learn how adapting old technologies to manage new challenges is inadequate, and how you can manage big data simply and at low cost, while simultaneously processing advanced analytics at the speed of business.
Posted: 28 Apr 2016 | Published: 31 May 2014

IBM

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
 
 
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