data warehouse

Results 76 - 100 of 214Sort Results By: Published Date | Title | Company Name
Published By: IBM     Published Date: Jun 16, 2009
Transform information into a strategic asset with data warehouse.
Tags : 
ibm, ibm db2 warehouse, data warehouse, resource planning, erp, crm, customer relationship management, sales analysis, mmdg
    
IBM
Published By: IBM     Published Date: Sep 22, 2011
This white paper highlights the performance and scalability potential of InfoSphere DataStage 8.1 based on a benchmark test simulating a data warehouse scenario. The benchmark is designed to use the profiled situation to provide insight about how InfoSphere DataStage addresses key questions customers frequently ask when designing their information integration architecture.
Tags : 
ibm, infosphere, data performance and scalability, customers, datastage
    
IBM
Published By: IBM     Published Date: Nov 09, 2012
This paper describes what operational analytics is and what it offers to the business. We explore its relationship to business intelligence (BI) and see how traditional data warehouse architectures struggle to support it.
Tags : 
ibm, db2 analytics acclerator, analytics integration, business intelligence
    
IBM
Published By: IBM     Published Date: Oct 01, 2013
In-depth Comparison of IBM Smart Analytics System 7700,Teradata Active Enterprise Data Warehouse and Oracle Exadata Database Machine.
Tags : 
ibm, ibm smart analytics system, ibm smart analytics system 7700, it solutions, data warehouse, database, data management system, data mangementent, enterprise warehouse solutions, warehouse solutions
    
IBM
Published By: IBM     Published Date: Nov 18, 2013
IBM DB2 offers multi-platform flexibility and optimized capabilities for a variety of workloads. This e-book highlights some common scenarios where DB2 helps businesses derive unprecedented value from expanding data stores—affordably and reliably.
Tags : 
ibm, ibm db2, db2, acceleration, workload, data center, data management, database, data warehouse, data stores, flexibility, speed, optimization
    
IBM
Published By: IBM     Published Date: Nov 18, 2013
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.
Tags : 
ibm, ibm db2, blu acceleration, speed, acceleration, warehouse, warehousing environment, multipurpose environment, data, data management, data warehouse, warehouse performance
    
IBM
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.
Tags : 
ibm, big data, 9sight consulting, data, it management, maximize business, deployment, business opportunities, big data usage, data warehouse, data center, business analytics, big data offerings, core business data, analytic data, puredata system, data virtualization, data integration, data types, data quality
    
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.
Tags : 
ibm, big data, data, big data platform, analytics, data sources, data complexity, data volume, data generation, data management, storage, acceleration, business intelligence, data warehouse
    
IBM
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
Tags : 
ibm, data warehouse, warehouse environment, speed, simplicity, affordibility, db2 with blu, acceleration, data warehousing, data system, data storage, infrastructure
    
IBM
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.
Tags : 
ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions
    
IBM
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.
Tags : 
data warehouses, bi environments, bi technologies, faster deployments
    
IBM
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.
Tags : 
aberdeen group, data warehouse, data center, data management, analytic tools, collaboration, data trust, data analytics
    
IBM
Published By: IBM     Published Date: Apr 29, 2015
In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative.
Tags : 
data warehouse, big data, unstructured data, implementations
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
Learn about information integration and governance for data warehousing and big data and analytics.
Tags : 
data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : 
big data, data warehouse, data center, information governance, analytics, big data analytics, business management
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
Pushing the start button on information governance.
Tags : 
data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability
    
IBM
Published By: IBM     Published Date: Jun 19, 2014
Download this ebook to learn the requirements for delivering trusted information to a modern data warehouse.
Tags : 
ibm, big data, data warehousing, data, best practices
    
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.
Tags : 
ibm, data warehouse, data warehousing, hadoop, trusted data, data
    
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.
Tags : 
ibm, big sql, hadoop, sql
    
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.
Tags : 
ibm, ibm infosphere, big data, hadoop, big sql, data warehousing
    
IBM
Published By: IBM     Published Date: Nov 09, 2015
In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative.
Tags : 
ibm, data warehouse, big data, data management
    
IBM
Published By: IBM     Published Date: Nov 09, 2015
IBM believes the Data Warehouse market continues to expand and adapt to address new requirements for user self-service, increased agility, requirements for new data types, lower cost solutions, adoption of open source, driving better business insight, and faster time to value.
Tags : 
ibm, data, magic quadrant, data management, analytics
    
IBM
Published By: IBM     Published Date: Nov 16, 2015
As vendors continue to evolve their solutions to fit these changing requirements, IBM remains a leader in this Gartner Magic Quadrant.
Tags : 
ibm, data warehouse, data management, analytics, gartner
    
IBM
Published By: IBM     Published Date: Nov 16, 2015
The market offers an array of choices to organizations planning new data warehouses to manage large and varied data sets. Most vendors emphasize the speed of their products, but few address the real need: to increase speed efficiently, which reduces complexity and cost by simplifying data warehousing.
Tags : 
ibm, organization, puredata, analytics, research, data warehouse
    
IBM
Published By: IBM     Published Date: Apr 19, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : 
ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse
    
IBM
Start   Previous    1 2 3 4 5 6 7 8 9    Next    End
Search Resource Library