warehouse

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Published By: Splunk     Published Date: Apr 16, 2012
Read how Splunk enabled WhitePages, the largest on-line directory of people and businesses, to protect the site's content and the brand by monitoring abusive site traffic and learn how Splunk's in-house search eliminated a data warehouse investment.
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splunk, whitepages, traffic, warehouse, data warehouse, directory, investment, threats data
    
Splunk
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: 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: 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.
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big data, data warehouse, data center, information governance, analytics, big data analytics, business management, data management
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
Pushing the start button on information governance.
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data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure
    
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.
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ibm, data warehouse, big data, data management, data center
    
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.
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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.
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ibm, data warehouse, data management, analytics, gartner, data center
    
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.
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ibm, organization, puredata, analytics, research, data warehouse, knowledge management, data management
    
IBM
Published By: IBM     Published Date: Oct 19, 2016
Pfizer completed a proof-of-concept of a 5TB SAP Business Warehouse application on an Oracle system to evaluate a move to SAP HANA. This 5TB scale-up system was created on the IBM Power Systems platform under the direction of SAP and IBM. This webinar will explain SAP's road map for SAP HANA on Power architecture and Pfizer's rationale and lessons learned during this exciting project. Pfizer has now moved from development into production and will share the results from this recent experiment.
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ibm, systems, hardware, sap, sap hana, 5tb sap business warehouse application, oracle, pfizer
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Are you looking to add new data domains or solve new business problems? IBM InfoSphere MDM comprises a complete MDM suite with multi-domain MDM capabilities and built-in domain patterns. IBM offers several editions of InfoSphere MDM, each designed to integrate with your existing architectures and business processes. You can choose the platform that best meets your immediate and long-term needs.
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cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
    
IBM
Published By: Cisco     Published Date: Jul 11, 2016
Imagine you manage a warehouse for a small shipping firm. You have a simple job: route packages. But your employer expands to 25 western cities and 50 locations. After further expansion you now need to track packages coming by truck, rail, and plane and route them based on contents and weight to 10,000 different locations worldwide. While keeping traffic in and out tightly secured, making sure each package reaches its destination on time, and without going over budget. You might be wondering how things could get so complicated so quickly. But as an IT professional, you are nodding your head, because it all sounds very familiar. More Users + More Devices = More Complexity
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Cisco
Published By: Microsoft Dynamics     Published Date: Jul 11, 2007
This white paper addresses business and technical decision-makers for ambitious companies in which product distribution and transportation play key roles in daily operations and profitability. It describes how the comprehensive, integrated management solution represented by Supply Chain Execution for Microsoft Dynamics AX can help build an integrated logistics solution.
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scm, supply chain, radio frequency, rfid, inventory, transportation management, asset management, warehouse
    
Microsoft Dynamics
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.
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ibm, ibm smart analytics system, ibm smart analytics system 7700, it solutions, data warehouse, database, data management system, data mangementent
    
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.
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ibm, big data, 9sight consulting, data, it management, maximize business, deployment, business opportunities
    
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: Cisco     Published Date: Dec 21, 2016
Imagine you manage a warehouse for a small shipping firm. You have a simple job: route packages. But your employer expands to 25 western cities and 50 locations. After further expansion you now need to track packages coming by truck, rail, and plane and route them based on contents and weight to 10,000 different locations worldwide. While keeping traffic in and out tightly secured, making sure each package reaches its destination on time, and without going over budget. You
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Cisco
Published By: Altiscale     Published Date: Oct 19, 2015
In this age of Big Data, enterprises are creating and acquiring more data than ever before. To handle the volume, variety, and velocity requirements associated with Big Data, Apache Hadoop and its thriving ecosystem of engines and tools have created a platform for the next generation of data management, operating at a scale that traditional data warehouses cannot match.
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big data, analytics, nexgen, hadoop, apache, networking
    
Altiscale
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: 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: 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.
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data warehouse, big data, unstructured data, implementations, business intelligence, database development, quality assurance, productivity
    
IBM
Published By: IBM     Published Date: Apr 29, 2015
First generation warehouses were not designed to manage data at today's volume or variety. Coercing older technologies to satisfy new demands can be inefficient, burdensome and costly. Read how IBM PureData System for Analytics is built for simplicity and speed.
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big data, data management, hardware, business intelligence, analytical applications, database development, productivity
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
Learn about information integration and governance for data warehousing and big data and analytics.
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data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure
    
IBM
Published By: Calpont     Published Date: Mar 13, 2012
In this white paper you will find insight as to how the Calpont InfiniDB database performs far beyond the abilities of a row-based database.
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data warehouse, warehouse, benhcmark, infinidb, calpont, row-based, warehouse, mpp
    
Calpont
Published By: Cisco     Published Date: Nov 18, 2015
Imagine you manage a warehouse for a small shipping firm. You have a simple job: route packages. But your employer expands to 25 western cities and 50 locations. After further expansion you now need to track packages coming by truck, rail, and plane and route them based on contents and weight to 10,000 different locations worldwide. While keeping traffic in and out tightly secured, making sure each package reaches its destination on time, and without going over budget. You might be wondering how things could get so complicated so quickly. But as an IT professional, you are nodding your head, because it all sounds very familiar.
Tags : 
cisco, network, business growth, virtual network, networking, security
    
Cisco
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