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Datawarehouse Reports
 
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

Introducing Microsoft SQL Server 2016
sponsored by Microsoft
EBOOK: This robust e-book explores SQL Server 2016. Learn about its newest capabilities that can enable you to boost performance with: faster queries, an improved database engine, integrated reporting and analytics, and more.
Posted: 06 Oct 2016 | Published: 06 Oct 2016

Microsoft

Why Cloud is The Future of Data Warehousing
sponsored by IBM
WHITE PAPER: This 2 page whitepaper explores how you can stay ahead in a world full of big data by combining the processing power of data warehousing with the agility and flexibility of the cloud. Find out how you can determine data quality with an automated efficiency query, advance processing so your entire dataset doesn't have to fit in-memory, and more.
Posted: 30 Sep 2016 | Published: 30 Sep 2016

IBM

How To Accelerate Time-to-Value with a Modern Data Stack: 3-Product Overview
sponsored by Looker
PRODUCT OVERVIEW: The explosion of data has created a need to rapidly derive business insights and value from data. But the complexity of setting up and managing a data stack pose challenges when time is of the essence. In this product data sheet, learn about Looker, Panoply and Stitch – products that can help you manage your data analytics for faster insights.
Posted: 11 May 2017 | Published: 11 May 2017

Looker

Data Architecture Optimization
sponsored by Hortonworks
WHITE PAPER: There is a change in mindset among IT organizations and data architects, who now look to capture all data, keep it longer, and prepare to use the data in new ways as business conditions evolve. These changes create dramatic pressure on traditional data architectures. Data architecture is taking the next step in evolution.
Posted: 11 Mar 2016 | Published: 02 Mar 2016

Hortonworks

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

Enabling an Agile Data Warehouse with Automation
sponsored by Attunity
WEBCAST: Watch this webinar to learn how to overcome the limitations of traditional data warehouses with modern technology, which can enable you to automate and accelerate routine IT tasks associated with designing, creating, populating, and managing data warehouses and data marts.
Posted: 05 May 2016 | Premiered: Mar 10, 2016

Attunity

Shining a Light on SQL Server Storage Strategies
sponsored by SearchSQLServer.com
EBOOK: Database administrators must attend to SQL Server storage needs. This guide provides tips on doing just that.
Posted: 11 Mar 2016 | Published: 07 Mar 2016

SearchSQLServer.com

Approaches to SAP HANA Adoption: ERP, Business Intelligence, and More
sponsored by Red Hat
EGUIDE: In this expert e-guide, we explore how organizations across a variety of industries are leveraging SAP's in-memory platform to enhance reporting, analytics, self-service BI, ERP transformation, mobility, and more. Discover which approach to SAP HANA – on premise, in the cloud, or via mobile apps – is best for you.
Posted: 28 Mar 2017 | Published: 17 Mar 2017

Red Hat

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
 
 
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