data warehouse

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By: RedPoint Global     Published Date: May 11, 2017
While they’re intensifying, business-data challenges aren’t new. Companies have tried several strategies in their attempt to harness the power of data in ways that are feasible and effective. The best data analyses and game-changing insights will never happen without the right data in the right place at the right time. That’s why data preparation is a non-negotiable must for any successful customer-engagement initiative. The fact is, you can’t simply load data from multiple sources and expect it to make sense. This white paper examines the shortcomings of traditional approaches such as data warehouses/data lakes and explores the power of connected data.
Tags : customer engagement, marketing data, marketing data analytics, customer data platform
     RedPoint Global
By: Pure Storage Australia     Published Date: Jun 23, 2017
As flash costs continue to drop and new, flash-driven designs help to magnify the compelling economic advantages AFAs offer relative to HDD-based designs, mainstream adoption of AFAs —first for primary storage workloads and then ultimately for secondary storage workloads — will accelerate. Well-designed AFAs that still leverage legacy interfaces like SAS will be able to meet many performance requirements over the next year or two. Those IT organisations that aim to best position themselves to handle future growth will want to look at next-generation AFA offerings, as the future is no longer flash-optimised architectures (implying that HDD design tenets had to be optimised around) — it is flash-driven architectures.
Tags : cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
     Pure Storage Australia
By: Attivio     Published Date: Aug 20, 2010
With the explosion of unstructured content, the data warehouse is under siege. In this paper, Dr. Barry Devlin discusses data and content as two ends of a continuum, and explores the depth of integration required for meaningful business value.
Tags : attivio, data warehouse, unified information, data, content, unstructured content, integration, clob
     Attivio
By: Attivio     Published Date: Aug 20, 2010
Current methods for accessing complex, distributed information delay decisions and, even worse, provide incomplete insight. This paper details the impact of Unified Information Access (UIA) in improving the agility of information-driven business processes by bridging information silos to unite content and data in one index to power solutions and applications that offer more complete insight.
Tags : attivio, data warehouse, unified information, data, content, unstructured content, integration, clob
     Attivio
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
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.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
     SAP
By: Dell EMC     Published Date: Nov 09, 2015
While the EDW plays an all-important role in the effort to leverage big data to drive business value, it is not without its challenges. In particular, the typical EDW is being pushed to its limits by the volume, velocity and variety of data. Download this whitepaper and see how the Dell™ | Cloudera™ | Syncsort™ Data Warehouse Optimization – ETL Offload Reference Architecture can help.
Tags : 
     Dell EMC
By: Collaborative Consulting     Published Date: Dec 23, 2013
There are some surprisingly straightforward reasons behind the glitches, delays, and cost-overruns that can bedevil data warehouse initiatives. ...The first is simply confusing expectations with requirements. But four other troublemakers can also lead to big problems for developers, IT departments, and organizations seeking to maximize the business value of information.
Tags : collaborative consulting, data warehouse, failed projects, business intelligence, business solution, meet expectations, big data, profile importance
     Collaborative Consulting
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.
Tags : collaborative consulting, data, data warehouse, complicane, risk management, business intelligence, consolidation, infrastructure
     Collaborative Consulting
By: TreasureData     Published Date: May 14, 2012
Treasure Data is going to change the way that you think about Big Data and Cloud Data Warehousing. We'd like to get your input on how you see Big Data and Cloud Data Warehousing. Please take our 10 question survey and give us your input.
Tags : treasuredata, data warehousing, cloud, big data, solution, data-driven, tables, queries
     TreasureData
By: Red Hat     Published Date: Jan 09, 2014
A large enterprise data warehouse company used Red Hat® CloudForms to create a private cloud that includes automated provisioning and self-service for developers and testers. This let them build, test, and release new product versions faster. Find out how in this case study.
Tags : red hat, cloudforms, data, data warehouse, enterprise cloud, cloud management, productivity, private cloud
     Red Hat
By: Juniper Networks     Published Date: Oct 19, 2015
Datacenters are the factories of the Internet age, just like warehouses, assembly lines, and machine shops were for the industrial age. Over the course of the past several years, riding the wave of modernization, datacenters have become the heart and soul of the financial industry, which each year invests over $480 billion in datacenter infrastructure of hardware, software, networks, and security and services.
Tags : juniper, datacenter, threat, ciso, enterprise, data, customer
     Juniper Networks
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
By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service. Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc. "
Tags : 
     Oracle PaaS/IaaS/Hardware
By: Teradata     Published Date: Jan 28, 2015
Althrough Hadoop and related technologies have been with us for several years, most business intelligence (BI) professionals and their business counterparts still harbor a few misconceptions that need to be corrected about Hadoop and related technologies such as MapReduce. This webcast presents the 10 most common myths about Hadoop, then corrects them. The goal is to clarify what Hadoop is and does relative to BI, as well as in which business and technology situations Hadoop-based BI, data warehousing and analytics can be useful.
Tags : teradata, business, intelligence, hadoop, data, integration, analytics, mapreduce
     Teradata
By: Teradata     Published Date: Jan 30, 2015
Our goal is to share best practices so you can understand how designing a data lake strategy can enhance and amplify existing investments and create new forms of business value.
Tags : data lake, data warehouse, enterprise data, migration, enterprise use, data lake strategy, business value, data management
     Teradata
By: Teradata     Published Date: Jan 30, 2015
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
Tags : data, data warehouse, hadoop, hadoop ecosystem, data architectures, data archiving, advanced analytics, data management
     Teradata
By: Teradata     Published Date: Jan 30, 2015
Enterprise Hadoop Implementation with Teradata and Hortonworks
Tags : ncr, big data, data warehouse, enterprise hadoop, hadoop implementation, teradata, hortonworks, performance data
     Teradata
By: Teradata     Published Date: Jan 30, 2015
It is hard for data and IT architects to understand what workloads should move, how to coordinate data movement and processing between systems, and how to integrate those systems to provide a broader and more flexible data platform. To better understand these topics, it is helpful to first understand what Hadoop and data warehouses were designed for and what uses were not originally intended as part of the design.
Tags : teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges
     Teradata
By: Teradata     Published Date: Jan 30, 2015
Data from the Internet of Things makes an integrated data strategy more vital than ever.
Tags : teradata, internet, things, iot, data, warehouse, analytics, patchwork
     Teradata
By: IBM     Published Date: May 17, 2016
Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.
Tags : ibm, big data, inline analytics, business analytics, roi
     IBM
By: EMC Corporation     Published Date: Jul 07, 2013
Forward-looking enterprises know there's more to big data than strong and managing large volumes of information. Big data presents an opportunity to leverage analytics and experiment with all available data to derive value never before possible with traditional business intelligence and data warehouse platforms. Through a modern, big data platform that facilitates self-service and collaborative analytics across all data, organizations become more agile and are able to innovate in new ways.
Tags : enterprises, storage, information management, technology, platform, big data analytics, emc, self service
     EMC Corporation
By: CA Technologies EMEA     Published Date: Aug 03, 2017
Tenuto conto del fatto che la GDPR è stato annunciato formalmente solo di recente, si evidenzia un buon livello di consapevolezza tra i partecipanti. Una volta informati sul regolamento, l'88% degli intervistati ha dichiarato che la propria azienda deve affrontare difficoltà tecnologiche per la compliance alla GDPR. Il percorso verso la compliance è percepito come molto laborioso.
Tags : generazione di dati sintetici, virtualizzazione di servizi, controllo e protezione dei database, masking dei dati, warehouse dei dati, ca technologies, gdpr
     CA Technologies EMEA
By: Teradata     Published Date: Jan 20, 2015
This Neil Raden and Teradata webinar explores: The business values gained from an integrated view of SAP® and non-SAP® data; Existing solutions and challenges; Requirements for the optimal BI and analytics platform, and; A new solution that simplifies and enhances BI analytics for SAP® ERP data.
Tags : data warehouse, teradata, business value, analytics platform, erp data, data management
     Teradata
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!
Tags : teradata, sap solutions, data warehouse, extracted data, data management
     Teradata
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