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Data Cleansing Software

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Data Cleansing Software Reports
 
Unlocking the value of big data
sponsored by ComputerWeekly.com
ESSENTIAL GUIDE: This independent report provides the first in-depth assessment of the role that data-intensive technology can play in supporting jobs and growth in Ireland over the next five years.
Posted: 04 Sep 2013 | Published: 04 Sep 2013

ComputerWeekly.com

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

eGuide: Should you take the road to SAP HANA?
sponsored by SAP America, Inc.
EGUIDE: Read this expert e-guide to uncover important points to consider about SAP's much-hyped, latest innovation, HANA, including ROI calculations, relevant use cases, best practices for use with ERP software, required skills for deployment, and more.
Posted: 02 Apr 2013 | Published: 02 Apr 2013

SAP America, Inc.

Windows Flash Array
sponsored by Violin Memory
PRODUCT OVERVIEW: Find out how your organization can utilize one product that offers superior performance and economics without having to change your existing IT resources.
Posted: 21 Oct 2014 | Published: 31 Jul 2014

Violin Memory

Hadoop Makes Big Data Storage Accessible For Everyone
sponsored by IBM
WHITE PAPER: Discover how Hadoop flipped the traditional big data storage paradigm by adopting a philosophy of using commodity hardware and storage to build the equivalent of a data warehouse at a much lower cost. Learn how Hadoop's extreme flexibility gives it the ability to natively scale-out and accommodate both structured and unstructured data.
Posted: 18 Nov 2016 | Published: 18 Nov 2016

IBM

Reach New Performance Heights with Cloud Data Warehousing
sponsored by IBM
WHITE PAPER: Discover a high performance cloud data warehouse service that can enable simple and fast information management, analytics, and business intelligence operations in the cloud. Explore how your enterprise can manipulate and analyze data without the added complexity of network cluster maintenance and database management.
Posted: 21 Jun 2016 | Published: 31 Jul 2015

IBM

Enterprise Hadoop: Ready for Prime Time?
sponsored by SearchBusinessAnalytics
EBOOK: SearchBusinessAnalytics Benchmark Reports examine customer perceptions and adoption rates of technologies in established segments of the business intelligence (BI) market. Each Benchmark Report focuses on a specific area and surveys senior BI and IT professionals to understand the current market state for that segment of the BI market.
Posted: 19 Aug 2014 | Published: 19 Aug 2014

SearchBusinessAnalytics

TravelTainment Case Study
sponsored by Pentaho Corporation
CASE STUDY: This case study outlines how travel industry software company TravelTainment streamlined and simplified its data warehouse and reporting system to better serve the needs of its customers.
Posted: 28 Mar 2012 | Published: 28 Mar 2012

Pentaho Corporation

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

SAP America, Inc.

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
 
 
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