Data Warehouse Architectures Research
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Creating An Integrated BI And Data Warehousing Architecture For Effective Management Of Analytical Workloads
Sponsored by: TeradataTraditional business intelligence (BI) tools no longer cut it in the era of big data analytics as workloads and data requests continue to grow in complexity. Attend this exclusive webcast to learn the benefits of leveraging an integrated BI and data warehouse architecture to meet the increasingly-complex demands of the modern enterprise.
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Worlds fastest database AND all the convenience of an appliance presentation transcript
Sponsored by: Actian CorporationWhen Lenovo needed a pre-configured software and hardware strategy for effective data analytics, they teamed up with Actian to deliver a power data mart appliance. Read this transcript to learn about the data warehousing and analytics tool they deployed that can run queries up to 27 times faster.
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Big Data for Little Dollars
Sponsored by: Actian CorporationMost IT pros know that legacy architecture falls short when it comes to big data, but few know how to optimize it without incurring huge costs. Review this transcript to learn about an innovative database that can give you back control of your data without raising costs.
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Ultra Fast Data Analytics for Customer Success presentation transcript
Sponsored by: Actian CorporationMost businesses today are optimizing their legacy data architecture in order to effectively support growing data volumes. Read this transcript to learn about the strategy Sheetz Inc. implemented that enabled them to reduce data loading time from 5 hours to 20 minutes, effortlessly process billions of rows of data, and more.
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The IBM DB2 Analytics Accelerator for z/OS, V2.1
Sponsored by: IBMThe survival of a business is directly related to how quickly they can make strategic decisions. This white paper explores an analytics accelerator that expedites complex queries, allowing you to respond quickly to changing conditions.
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A New Dimension to Data Warehousing: 2011 IOUG Data Warehousing Survey
Sponsored by: Oracle CorporationA recent IOUG survey discovered that while most organizations have a well-established data warehouse, acceptance within their companies is still limited. Inside this exclusive study, learn how companies can start taking more advantage of their data warehousing systems to successfully manage the growing amounts of “big data".
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E-Guide: Building an Effective BI Strategy
Sponsored by: Dell EMC and MicrosoftThis e-guide discusses how to effectively take advantage of business intelligence (BI) technologies in your organization by utilizing essential tactics. Discover the benefits of data warehousing appliance technologies and how to select the best one for your needs.
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E-Guide: Data Warehousing for Growing Data Volumes
Sponsored by: Dell EMC and MicrosoftWith an influx of big data flooding businesses everywhere, the data warehousing landscape is changing rapidly. To learn more about the latest trends and advances in the big data management and data warehousing market, as well as steps you should take before investing in new technologies, review this expert e-guide now.
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E-Guide: Data Warehousing in SQL Server Environments
Sponsored by: Dell EMC and MicrosoftWhat's different about Microsoft's latest release, SQL Server 2012, that has midsize companies considering it for their big data analytics and data warehousing needs? Read this expert e-guide to find out. Also, find tips on choosing between SQL Server's native backup compression and third-party tools.
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E-Guide: BI Technologies in SQL Server 2012
Sponsored by: Dell EMC and MicrosoftAre the new big data analytics and business intelligence (BI) features in SQL Server 2012 worth the cost of an upgrade for your organization? Is SQL Server's native backup compression or a third-party product best suited to your data warehousing needs? Read this e-guide to find expert advice on both of these questions.
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SQL Server 2012 Fast Track Data Warehouse on PowerEdge R720xd
Sponsored by: Dell and Microsoft SQLRead this white paper to learn how to configure your SQL Server data warehousing system to support growing online analytical processing (OLAP) loads while lowering costs, easing management, and improving performance.
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Comparison: IBM Netezza Data Warehouse Appliance vs. Oracle Exadata
Sponsored by: IBMThis white paper offers up a comprehensive comparison of the Oracle Exadata and IBM Netezza data warehouse appliance, helping you decide which is the better fit for your business. Read this now and learn how they stack up in terms of online transaction processing (OLTP), query performance, simplicity of operation, value and more.
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Break the “Add More Nodes” Cycle: IBM Netezza data warehouse appliances allow your data infrastructure to scale
Sponsored by: IBMData warehouse appliances have transformed the DW with a platform designed to deliver optimal price and performance with extreme simplicity. This paper outlines the IBM Netezza data warehouse appliance and how it offers extreme time to value, agility and ability to grow with new workloads, cost reduction of ongoing maintenance and more.
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SearchBusinessAnalytics.com Tip Guide: Data warehousing best practices to support ‘big data’: No small task
Sponsored by: Sybase, an SAP companyRead this expert tip guide from SearchBusinessAnalytics.com as BI luminary Wayne Eckerson and other experts, including Lyndsay Wise, delve into detail on the necessary facets involved in properly handling big data, such as preparing a data warehouse to effectively manage it by scaling up or scaling out.
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SearchBusinessAnalytics Tip Guide: Trouble spots: 'Big data' pitfalls in the data warehousing process
Sponsored by: Sybase, an SAP companyThis expert tip guide from SearchBusinessAnalytics.com is an excellent starting point on your quest to discover if you're equipped to handle the onslaught of big data. Take a few minutes to read this resource now and learn best practices to help you navigate the challenges associated with big data.
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Expert tips, predictions and best practices for big data technology
Sponsored by: MarkLogicIn this E-Guide, readers will learn the challenges big data poses for traditional analytics approaches, and best practices for success with this still emerging discipline.
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Developing a strategy for and implementing real time BI and analytics
Sponsored by: BirstRead this expert E-Guide and learn how to gain a stronger understanding of your customers and business as well as how to excel in today’s competitive market with real-time business intelligence (BI).
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BI Trends and Strategies E-Zine Issue 2
Sponsored by: DellEMC and Intel®The second edition of BI Trends & Strategies, an e-zine offering advice on business intelligence (BI), analytics and data warehousing, explores whether or not it's the end of enterprise data warehouses as we know them, how to manage multiple business intelligence (BI) tools at once and the potential uses of data virtualization tools.
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Oracle Database 11g Release 2 for Data Warehousing and Business Intelligence
Sponsored by: Oracle CorporationThis white paper provides an overview of Oracle’s capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.
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BI Trends and Strategies E-Zine Issue 1
Sponsored by: TechTarget Business AnalyticsThe inaugural issue of BI Trends & Strategies offers sound advice to help you in ensuring your organization is on track to keep up with the rapidly changing landscape of BI and analytics. In this issue, readers will learn about a big data definition and the impact it will have on BI and data warehousing, agile development methodology and more.
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Fast-Tracking Data Warehousing & BI Projects via Intelligent Data Modeling
Sponsored by: Embarcadero Technologies, Inc.In this white paper, you will learn intelligent data modeling practices to design and deliver superior business intelligence (BI) faster, the characteristics and benefits of intelligent data modeling and how to promote the use of data models to fast-track data warehouse and BI projects.
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Data Warehousing 2.0- Modeling and Metadata Strategies for Next Generation Architectures
Sponsored by: Embarcadero Technologies, Inc.Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
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Tip Guide: Oracle BI update adds support for Microsoft, SAP, iPad
Sponsored by: SAP America, Inc.Oracle’s latest business intelligence (BI) software upgrade adds prebuilt integration with Oracle’s own TimesTen in-memory database, its OLAP platform and competing products from Microsoft and SAP. In this tip guide, readers will learn the latest on Oracle’s BI update and how it compares with other vendor solutions.
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Presentation Transcript: Five Reasons to Offload Analytics from Your Data Warehouse
Sponsored by: ParAccelTraditional data warehouse infrastructure struggles to keep up with the expanding demand for a wide and changing variety of analytic workloads. The result is growing frustration as end-users are forced to use sample data, aggregate data and even restricted in their access to information in standalone or enterprise data warehouses.
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Faster, Higher, Stronger: In-Memory Computing Disruption and What SAP HANA Means for Your Organization
Sponsored by: SAP America, Inc.Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
