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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

Analytics in Action: Tackling the Big Data Headache
sponsored by SAS
RESOURCE CENTER: Find out how to take the big data challenge and turn it into a golden opportunity for your company with new approaches to data management and analytics. Learn about 5 steps to maximize the value of Hadoop and your data warehouse, 3 use cases for predictive analytics, and more.
Posted: 01 Jun 2017 | Published: 01 Jun 2017

SAS

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

Benefits and Pitfalls Of Hadoop Adoption
sponsored by IBM
WHITE PAPER: Learn 6 reasons to consider Hadoop for your data management and analytics program, and discover several reasons why such a large program may not be the right fit for you (e.g. you work mainly in SQL or you need high levels of security).
Posted: 21 Nov 2016 | Published: 21 Nov 2016

IBM

Easing the Way Toward Frictionless Data Discovery
sponsored by IBM
WHITE PAPER: In this white paper, learn about the difficulties encountered when using traditional manual methods of prior data integration, and how data virtualization can ameliorate data distribution challenges. Additionally, learn about a modern virtualization and integration option that provides deep data context, bridges relational data islands, and more.
Posted: 21 Oct 2015 | Published: 31 Aug 2015

IBM

3 Biggest Challenges of Implementing Big Data Analytics in Healthcare
sponsored by Dimensional Insight, Inc.
EGUIDE: In this e-guide, Naeem Hashmi discusses strategies to overcome episodic culture, data puddles, and IT leadership challenges in order to exploit the value of big data in healthcare organizations.
Posted: 29 Jan 2016 | Published: 27 Jan 2016


A Computer Weekly Buyer's Guide to Big Data Appliances
sponsored by ComputerWeekly.com
EBOOK: In this 12-page buyer's guide, Computer Weekly looks at how enterprises are using SAP Hana for in-memory data marts and SAP Business Warehouse implementations; why a big data appliance should be chosen carefully to ensure its value to the business; and why simplicity & big data are driving appliance adoption.
Posted: 12 Oct 2015 | Published: 12 Oct 2015

ComputerWeekly.com

An Integrated Approach: Analytics, Data Warehouses, Big Data and More
sponsored by IBM
WEBCAST: Find out how you can leverage an integrated appliance to make data computing simpler. You'll discover how to bring analytics right into the database, add agility, and eliminate siloes. Additionally, you'll learn how to optimize the performance of data warehouse services for analytic apps, including those that require big data capabilities.
Posted: 19 Aug 2016 | Premiered: Aug 19, 2016

IBM

Getting Started with Hadoop on Openstack
sponsored by Rackspace
RESOURCE CENTER: The following resource will provide readers with an example of how to get started with Apache Hadoop in the cloud. Inside, learn how to launch Hadoop cluster with two nodes and growing up to 64 nodes.
Posted: 18 Feb 2016 | Published: 18 Feb 2016

Rackspace

Cloud-based data warehousing as-a-service, built for analytics
sponsored by IBM
WHITE PAPER: Traditional data warehousing has long been a painstaking endeavor, but today you have other options. Read on to learn about a fully managed, cloud data warehouse solution and the benefits it could help you realize.
Posted: 17 Jun 2016 | Published: 31 Jul 2015

IBM
 
 
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