warehouse

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Published By: Teradata     Published Date: Jan 16, 2015
This Neil Raden paper describes the current need for data warehousing, why SAP® BW is an incomplete choice and how Teradata Analytics for SAP® Solutions is a superior option. Download now!
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teradata, sap solutions, data warehouse, extracted data, data management
    
Teradata
Published By: IBM     Published Date: Jan 14, 2015
Decision makers need data and they need it now. As the pace of business continues to accelerate, organizations are leaning heavily on data warehouses to deliver analytical grist for the mill of daily decisions. This Research Report from Aberdeen Group examines the benefits of data warehouse solutions that offer rapid information delivery while minimizing complexity for users and IT.
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aberdeen group, data warehouse, data center, data management, analytic tools, collaboration, data trust, data analytics
    
IBM
Published By: IBM     Published Date: Nov 13, 2014
This paper focuses on the benefits of a queryable data store and big data technologies available to support data warehouse modernization. Read the paper to understand how data can be stored and optimized with Hadoop.
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ibm, ibm infosphere, big data, hadoop, big sql, data warehousing, storage management, analytical applications
    
IBM
Published By: SAS     Published Date: Nov 10, 2014
Learn how data is evolving and the 7 reasons why a comprehensive data management platform supersedes the data integration toolbox that you are using these days.
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sas, data integration, data evolution, comprehensive data, data management, data virtualization, data warehouses, data profiling
    
SAS
Published By: SAS     Published Date: Nov 10, 2014
Learn how this upcoming year should be the year you make your big data actionable and see what else you should be doing to maximize its potential.
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sas, data integration, data evolution, comprehensive data, data management, data virtualization, data warehouses, data profiling
    
SAS
Published By: IBM     Published Date: Oct 06, 2014
Business Intelligence (BI) has become a mandatory part of every enterprise’s decision-making fabric. Unfortunately in many cases, with this rise in popularity, came a significant and disturbing complexity. Many BI environments began to have a myriad of moving parts: data warehouses and data marts deployed on multiple platforms and technologies – each requiring significant effort to ensure performance and support for the various needs and skill sets of the business resources using the environment. These convoluted systems became hard to manage or enhance with new requirements. To remain viable and sustainable, they must be simplified. Fortunately today, we have the ability to build simpler BI technical environments that still support the necessary business requirements but without the ensuing management complexity. This paper covers what is needed to simplify BI environments and the technologies that support this simplification.
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data warehouses, bi environments, bi technologies, faster deployments, knowledge management, business analytics, business management, business process management
    
IBM
Published By: IBM     Published Date: Sep 15, 2014
Download this ebook to learn the requirements for delivering trusted information to a modern data warehouse and the guiding principles for trusted information in next generation data warehouse environments.
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ibm, data warehouse, data warehousing, hadoop, trusted data, data, data deduplication, data center design and management
    
IBM
Published By: Stitch Labs     Published Date: Sep 05, 2014
For any retailer, having a streamlined, efficient warehouse can dramatically improve business operations. This Stitch Labs Guide offers seven tips to help optimize your warehouse organization and increase your productivity.
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stitch labs, stitch labs guide, platform, tips, retail, warehouse, management, optimize
    
Stitch Labs
Published By: Stitch Labs     Published Date: Sep 05, 2014
Any retailer will tell you that giving customers new, convenient ways to purchase a product is good for business. This Stitch Labs Guide offers four tips to help increase your sales channels without increasing your business complexity.
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stitch labs, stitch labs guide, platform, tips, retail, warehouse, management, optimize
    
Stitch Labs
Published By: Stitch Labs     Published Date: Sep 05, 2014
With 237 million active customer accounts, Amazon is often an appealing way for retailers to expand online sales. Learn how teaming up with this online marketplace can take your business to the next level.
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stitch labs, stitch labs guide, platform, tips, retail, warehouse, management, optimize
    
Stitch Labs
Published By: Stitch Labs     Published Date: Sep 05, 2014
From increasing sales to improving customer service and effectively testing marketing tactics, learn how streamlined inventory management can positively impact the critical aspects of your business.
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stitch labs, stitch labs guide, platform, tips, retail, warehouse, management, optimize
    
Stitch Labs
Published By: Stitch Labs     Published Date: Sep 05, 2014
From gathering data to building customer loyalty to closing a sale, more and more retailers are turning to free shipping. Find out what this attention-getting offer can do for your e-commerce site.
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stitch labs, stitch labs guide, platform, tips, retail, warehouse, management, optimize
    
Stitch Labs
Published By: NEC     Published Date: Aug 26, 2014
In addition to high reliability and availability, enterprise mission critical applications, data centers operating 24x7, and data analysis platforms all demand powerful data processing capabilities and stability. The NEC PCIe SSD Appliance for Microsoft® SQL Server® is a best-practice reference architecture for such demanding workloads. It comprises an Express 5800 Scalable Enterprise Server Series with Intel® Xeon® processor E7 v2 family CPUs, high-performance HGST FlashMAX II PCIe server-mounted flash storage, and Microsoft® SQL Server® 2014. When compared with the previous reference architecture based on a server with the Intel® Xeon® processor E7 family CPUs, benchmark testing demonstrated a performance improvement of up to 173% in logical scan rate in a data warehouse environment. The testing also demonstrated consistently fast and stable performance in online transaction processing (OLTP) that could potentially be encountered.
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sql, datacenter, servers, virtualization, customer value, analytics, application owners, system integrators
    
NEC
Published By: IBM     Published Date: Jun 19, 2014
Download this ebook to learn the requirements for delivering trusted information to a modern data warehouse.
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ibm, big data, data warehousing, data, best practices, application integration, business metrics, business intelligence
    
IBM
Published By: IBM     Published Date: Jun 10, 2014
Download this short paper for an overview of the benchmark, the result and understand the importance to businesses deploying Hadoop into their data warehouse environments.
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ibm, big sql, hadoop, sql, application integration, database development, data integration, data warehousing
    
IBM
Published By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
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ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth
    
IBM
Published By: Oracle     Published Date: Apr 28, 2014
Perfect order fulfillment requires companies to have seamless integration of all supply chain execution (SCE) including, logistics processes from manufacturing, transportation, warehouse, global trade to mobile and RFID. Recent research from Gartner reveals that most supply chain organizations continue to operate as functional silos – warehousing, transportation and manufacturing – with minimal, if any, process integration and synchronization between execution silos. The Gartner Research report provides key insights into how supply chain and IT leaders can transform logistics by breaking down functional silos, and designing business processes that span, optimize and synchronize across traditional functional domains.
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oracle, logistics, value chain execution, silos
    
Oracle
Published By: IBM     Published Date: Apr 16, 2014
Speed, simplicity and affordability: 3 capabilities businesses need from their warehousing environment. IBM DB2 with BLU Acceleration gives organizations a complete, multipurpose environment to rapidly distill insight from their data, make timely decisions and capitalize on opportunities
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ibm, data warehouse, warehouse environment, speed, simplicity, affordibility, db2 with blu, acceleration
    
IBM
Published By: IBM     Published Date: Mar 05, 2014
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
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ibm, big data, data, big data platform, analytics, data sources, data complexity, data volume
    
IBM
Published By: FireEye     Published Date: Feb 28, 2014
How are data centers becoming unwitting accomplices in advanced cyber attacks?
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fireeye, persistent threats, advanced attacks, data centers, cyber-attacks, speed of detection, accuracy of detection, data warehouse
    
FireEye
Published By: QTS Data Centers     Published Date: Feb 18, 2014
The cloud has been beneficial to many IT departments by enabling quicker responses to the fast-moving market and ever-changing customer needs. So when is your business migrating over?
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qts, the cloud, migrating, integration, technology, it departments, migration, it leaders
    
QTS Data Centers
Published By: Teradata     Published Date: Jan 22, 2014
Saving money and increasing agility just got easier with cloud computing.
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cloud computing, private cloud, public cloud, data warehouse, big data, infrastructure
    
Teradata
Published By: Collaborative Consulting     Published Date: Jan 15, 2014
When a pharmaceutical company discovered its risks under the new Patient Protection and Affordable Care Act, it turned to Collaborative to comb and consolidate its data. The result: compliance and insight into new business opportunities, too, through a company-wide business data warehouse and enhanced business intelligence.
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collaborative consulting, data, data warehouse, complicane, risk management, business intelligence, consolidation, infrastructure
    
Collaborative Consulting
Published By: IBM     Published Date: Jan 09, 2014
According to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk about big data and the possibilities it can offer is not hard to see, provided that organizations are willing to return to the principles of good data management processes.
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ibm, big data, 9sight consulting, data, it management, maximize business, deployment, business opportunities
    
IBM
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