data warehouse

Results 101 - 125 of 160Sort Results By: Published Date | Title | Company Name
Published By: Netezza IBM US     Published Date: Mar 27, 2012
Across all industries, Revolution R Enterprise advanced analytics platform leverages the capabilities of IBM Netezza Analytics on IBM Netezza's family of data warehouse appliances, merging high-performance, scalable data warehouse technology with advanced in-database analytics and massively parallel capabilities
Tags : 
ibm, technology, netezza, analytics, enterprise analytics, business technology
    
Netezza IBM US
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, enterprise applications, data management, business technology
    
IBM
Published By: Adobe     Published Date: Aug 02, 2017
With Adobe Analytics and Adobe Audience Manager—both part of Adobe Marketing Cloud—media companies can overcome today’s audience intelligence challenges. Adobe Analytics is an industry-leading solution for applying real time analytics and detailed segmentation across all of your marketing channels. A unified platform and customer ID unlock powerful customer intelligence and help you discover and retain high-value audiences. Make forward-looking decisions with its predictive intelligence capabilities, and find out which of your marketing efforts are paying off with its attribution functionality.
Tags : 
goals and kpis, data warehouse, resource management, insight loop, content and campaigns, audience optimisation
    
Adobe
Published By: Teradata     Published Date: Jan 22, 2014
Saving money and increasing agility just got easier with cloud computing.
Tags : 
cloud computing, private cloud, public cloud, data warehouse, big data
    
Teradata
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, business technology
    
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, business technology, data center
    
IBM
Published By: Snowflake     Published Date: Apr 14, 2015
Read about what makes data warehousing as a service different from traditional data warehousing–it’s more than just a data warehouse in the cloud.
Tags : 
snowflake, data warehousing, cloud computing, best practices, data processing, saas, data center design and management
    
Snowflake
Published By: Snowflake     Published Date: Apr 14, 2015
Learn why Snowflake is reinventing the data warehouse to meet the changing nature of data and its usage within the enterprise.
Tags : 
snowflake, data warehouse, cloud computing, big data, data center design and management
    
Snowflake
Published By: Snowflake     Published Date: Apr 14, 2015
Find out why data professionals are NOT replacing their data warehouse with Hadoop—read the survey
Tags : 
dimensional research, data professionals, data warehouse, cloud computing, big data, new technology
    
Snowflake
Published By: SnowFlake     Published Date: Jul 08, 2016
Today’s data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywhere—not just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access to only a few highly-skilled data scientists. However, these efforts are quickly frustrated by the limitations of current data warehouse technologies. These systems simply were not built to handle the diversity of today’s data and analytics. They are based on decades-old architectures designed for a different world, a world where data was limited, users of data were few, and all processing was done in on-premises data centers.
Tags : 
snowflake, data, technology, enterprise, application, best practices, social media, storage, business technology
    
SnowFlake
Published By: SnowFlake     Published Date: Jul 08, 2016
Data today comes from diverse sources in diverse forms and needs to be analyzed by ever more users as quickly as possible. Those demands are stressing the limitations of traditional data warehouses and data platforms. Snowflake has reinvented the data warehouse, making it possible to bring all your business data together in a single system that can support all your users and workloads. Built from the cloud up as a software service, Snowflake eliminates the cost, complexity, and inflexibility of existing solutions while allowing you to use the tools and skills you already have.
Tags : 
snowflake, data, technology, best practices, solutions, cloud support, storage, business technology
    
SnowFlake
Published By: SnowFlake     Published Date: Jul 08, 2016
This EMA case study profiles the implementation of the Snowflake Elastic Data Warehouse, a new generation of cloud-based data warehouses, by Accordant Media. This document details significant tangible and intangible improvements and opportunities the Snowflake solution created for the Accordant Media infrastructure and analytical teams.
Tags : 
snowflake, media, data, technology, cloud-based data, best practices, business technology
    
SnowFlake
Published By: SnowFlake     Published Date: Jul 08, 2016
In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
Tags : 
forrester, enterprise, data, technology, best practices, innovation, security, business technology
    
SnowFlake
Published By: SAP     Published Date: Apr 13, 2011
SAP® BusinessObjectsT Edge BI software is ideal for midsize companies wanting to improve business intelligence (BI) processes and get an edge on the competition. It can help you address just about any BI requirement - and leverage the applications, data sources, and platforms your company already uses.
Tags : 
sap businessobjects edge bi, business intelligence processes, midsize companies, data management, data integration, data warehouse
    
SAP
Published By: SAP     Published Date: Jul 29, 2010
Improving your company's efficiency and effectiveness, no matter its size. This white paper from SAP offers guidance on how to improve the efficiency and effectiveness of your company with business intelligence.
Tags : 
sap, business intelligence, smb, midsized companies, streamlining operation, production reporting technology, analytics, data warehouse, operational system
    
SAP
Published By: SAS     Published Date: Sep 08, 2010
This paper describes five business analytics styles used today and the building blocks required in implementing these styles. It is important to consider which of these styles is valid for your organization now and into the future.
Tags : 
sas, reporting, data warehouses, business activity monitoring, data integration
    
SAS
Published By: Oracle Corporation     Published Date: Mar 03, 2011
This white paper discusses how by designing these three corner stones correctly, you can seamlessly scale out your EDW without having to constantly tune or tweak the system.
Tags : 
datawarehousing, system management, oracle
    
Oracle Corporation
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.
Tags : 
splunk, whitepages, traffic, warehouse, data warehouse, directory, investment, threats data, analyzying, decision making, ime-series data, log management, log management software, manage logs, analyze logs, log analyzer, security log analysis, log management intelligence, log management compliance, compliance
    
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
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, it management, data management, data center
    
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, data management
    
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, business technology, data center, research, analytics
    
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, business technology, data visualization
    
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, business technology, data center, research
    
IBM
Start   Previous    1 2 3 4 5 6 7    Next    End
Search      

Related Topics

Add Your White Papers

Get your white papers featured in the Data Center Frontier Paper Library contact:
Kevin@DataCenterFrontier.com