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Data Cleansing Software Reports
 
E-Guide: Data Warehousing for Growing Data Volumes
sponsored by Dell EMC and Microsoft
EGUIDE: With an influx of big data flooding businesses everywhere, the data warehousing landscape is changing rapidly. To learn more about the latest trends and advances in the big data management and data warehousing market, as well as steps you should take before investing in new technologies, review this expert e-guide now.
Posted: 27 Jun 2012 | Published: 27 Jun 2012

TOPICS: 
Dell EMC and Microsoft

Presentation Transcript: Five Reasons to Offload Analytics from Your Data Warehouse
sponsored by ParAccel
PRESENTATION TRANSCRIPT: Traditional data warehouse infrastructure struggles to keep up with the expanding demand for a wide and changing variety of analytic workloads.  The result is growing frustration as end-users are forced to use sample data, aggregate data and even restricted in their access to information in standalone or enterprise data warehouses.
Posted: 06 Dec 2011 | Published: 06 Dec 2011

TOPICS: 
ParAccel

Key Considerations in Evaluating Data Warehouse Appliances
sponsored by Dell Software
WHITE PAPER: Data warehousing can be an expensive, complicated bag of hardware, software and support. However, adopting a data warehouse appliance will benefit your business today and in the future. In this new white paper, learn about their evolution, pros and cons and if this technology is the right fit for your business. Read it today.
Posted: 08 May 2013 | Published: 31 Dec 2012

TOPICS: 
Dell Software

TechTarget Solution Spotlight: Big Data Challenges & Pitfalls
sponsored by IBM
EGUIDE: Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.
Posted: 05 Dec 2014 | Published: 05 Dec 2014

TOPICS: 
IBM

IBM Cognos Data Manager
sponsored by IBM
WHITE PAPER: Access the following white paper to uncover how a data manager works seamlessly with your Cognos BI solution to help simplify the way your data is presented. Get a firsthand look at how simplification can effectively increase the performance of the end user and more.
Posted: 15 Jan 2014 | Published: 15 Jan 2014

TOPICS: 
IBM

Hadoop Myths Busted
sponsored by Syncsort
EGUIDE: Consult this expert e-guide today to count down 12 common Hadoop myths and misconceptions, and gain the facts you need to drive big data success.
Posted: 10 Sep 2013 | Published: 10 Sep 2013

TOPICS: 
Syncsort

FAQ: Hadoop for BI and Analytics
sponsored by SAP America, Inc.
EGUIDE: Despite its idiosyncrasies and lack of user-friendliness, the Apache Hadoop framework offers real advantages for organizations tackling big data challenges and real-time analytics. Access this e-guide for answers to FAQs for BI professionals seeking to leverage the benefits of this niche technology as part of their big data analytics initiatives.
Posted: 17 Dec 2012 | Published: 17 Dec 2012

TOPICS: 
SAP America, Inc.

Data Warehousing as a Service
sponsored by Kognitio
WHITE PAPER: This concise case study outlines how they chose to leverage a Data warehousing as a Service (DaaS), allowing their pricing analysts to have access to a live analytical database, reports, and a team of experienced consultants who understand their business requirements.
Posted: 11 Jun 2013 | Published: 11 Jun 2013

TOPICS: 
Kognitio

Deliver Better Results Across the Data Management Lifecycle: HP AppSystem for Microsoft SQL Server 2012 Parallel Data Warehouse
sponsored by HP
WHITE PAPER: The following whitepaper outlines the important steps to consider when implementing a diversified data management strategy.
Posted: 18 Oct 2013 | Published: 18 Oct 2013

TOPICS: 
HP

Architecting A Big Data Platform for Analytics
sponsored by IBM
WHITE PAPER: Business is now demanding more analytical power to analyze new sources of structured and multi-structured data. The IBM Big Data Platform rises to the challenge to create this new analytical environment, making IBM a serious contender to support end-to-end analytical workloads.
Posted: 14 Aug 2013 | Published: 31 Oct 2012

TOPICS: 
IBM
 

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