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Tactical Data Warehouse Development

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Tactical Data Warehouse Development Reports
 
Five Things to Look for When Implementing a Data Warehouse
sponsored by IBM
WHITE PAPER: Discover a 5-step checklist for important criteria in selecting data warehouse technologies, backed by a recent study.
Posted: 24 May 2017 | Published: 24 May 2017

IBM

How Dollar Shave Club Cuts The Competition With a Data Advantage
sponsored by Looker
CASE STUDY: How does a small e-commerce business with a good idea - and a great sense of humor - solve their data bottleneck and go up against leading retail giants to win? Ask Dollar Shave Club. In this case study, learn how this e-commerce upstart trimmed its data bottleneck considerably.
Posted: 09 May 2017 | Published: 09 May 2017

Looker

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

TDWI Checklist Report: Data Warehousing in the Cloud
sponsored by IBM
WHITE PAPER: Using a cloud-based data warehouse provides value. Uncover ways this approach to data warehousing can reduce startup costs, potentially eliminate ongoing maintenance costs, accelerate analysis, and more.
Posted: 23 May 2016 | Published: 23 May 2016

IBM

Harness Your Data for Better, Faster Decision-Making
sponsored by Dell Software
WHITE PAPER: In this new Dell white paper, learn about the challenges of data warehouses. Then, discover a powerful data warehouse appliance that can be quickly deployed, loads data almost immediately and helps eliminate the challenges of traditional data warehouse strategies. Download this valuable white paper today.
Posted: 10 May 2013 | Published: 10 May 2013

Dell Software

Preparing Your Data Architecture for Big Data Analytics
sponsored by Hewlett-Packard Enterprise
EGUIDE: While big data can provide actionable insights to drive business value, your enterprise can't experience those benefits without the right data architecture in place first. In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project.
Posted: 25 May 2016 | Published: 16 May 2016

Hewlett-Packard Enterprise

Presentation Transcript: Offloading Your Oracle Analytics for Improved Performance
sponsored by ParAccel
PRESENTATION TRANSCRIPT: Read this presentation transcript to learn how an analytic offload from the warehouse onto an analytical platform can extend the life of your existing data warehouse by up to two years and result in accelerated analytic performance, improved price performance, reduction in database administration and lower storage requirements.
Posted: 13 Dec 2012 | Published: 13 Dec 2012

ParAccel

Game Changing Performance with SAP In-Memory
sponsored by Cisco and SAP
EGUIDE: SAP HANA promises to be a game changer in the business intelligence (BI) and analytics space. However, some organizations remain skeptical of the benefits of investing in yet another technology to accelerate analytics. This e-guide puts those doubts to rest with an in-depth look at how to build a business case for in-memory computing and SAP HANA.
Posted: 30 Apr 2014 | Published: 30 Apr 2014

Cisco and SAP

Large-scale Analytics with SAP
sponsored by SAP America, Inc.
VIDEO: In this video, find out how you can remove the constraints associated with traditional approaches to analytics and data warehousing -- with a powerful analytics grid that grows to meet your changing business needs. Watch now for an overview of this technology including capabilities, use cases, and benefits.
Posted: 17 Oct 2013 | Premiered: 17 Oct 2013

SAP America, Inc.

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
 
 
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