Data Warehouse Architectures White Papers
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Generating business value from Big Data
Sponsored by: IBMFor high-end, challenging applications integrating business intelligence (BI) data with other information such as Internet clickstream and social networking data, the trend is shifting toward build in the buy vs. build data warehousing debate. Access this expert resource today to learn the drivers that are creating this new trend.
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Harness Your Data for Better, Faster Decision-Making
Sponsored by: Quest Software, now a part of DellIn this new Dell white paper, learn about the challenges of data warehouses. Then, discover a powerful data warehouse appliance that can be quickly deployed, loads data almost immediately and helps eliminate the challenges of traditional data warehouse strategies. Download this valuable white paper today.
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Key Considerations in Evaluating Data Warehouse Appliances
Sponsored by: Quest Software, now a part of DellIs a data warehouse appliance right for you? Is your company ready to consider a data warehouse appliance? In this new white paper, learn about their evolution, pros and cons and if this technology is the right fit for your business. Read it today.
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TDWI Checklist Report: Consolidating Data Warehousing on a Private Cloud
Sponsored by: Oracle Corporation UK LtdInterest in the cloud continues to grow, but so far, most cloud use cases focus on application servers. This checklist report makes a case for private database clouds, especially as a platform for consolidated BI and DW applications. Read this report today to learn of the benefits of a database cloud.
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A New Dimension to Data Warehousing: 2011 IOUG Data Warehousing Survey
Sponsored by: Oracle Corporation UK LtdRead this resource today for a summary of survey results, which explore issues and solutions around managing fast-growing data warehousing environments. Discover key highlights and findings from the survey, as well as recommendations.
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Integrating and Managing SAP HANA
Sponsored by: VCECheck out this expert e-guide to discover the necessary skills and steps involved in SAP HANA implementation, and get tips from the pros on integrating and managing mixed SAP environments.
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BI Leadership Benchmark Report: Data Virtualization
Sponsored by: SearchBusinessAnalyticsMost organizations find consolidating data sources challenging. Fortunately, data virtualization eliminates the time-consuming and costly exercise of physically consolidating data from heterogeneous systems. View this white paper to learn more about the benefits of data virtualization and how you can consolidate back-end data systems.
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Best Practices for Implementing a High-Performance Data Warehouse
Sponsored by: SAS Institute Inc.There are more new forms of data today than ever before, and traditional business intelligence systems cannot always handle the amount of stress from this influx of information. Check out this white paper to discover a system known as 'high performance data warehousing' that can help you successfully analyze and glean insights from your big data.
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Enterprise Data Governance
Sponsored by: SAS Institute Inc.If your business wants to reliably run reports and make decisions based on accurate information, the correct technology and business processes are essential. View this white paper to learn more about how the human factor affects data quality. Examine data management issues along with other important factors by reading this resource now.
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Why Embedding Drivers Reduces Development Costs
Sponsored by: Progress DataDirectIndependent software vendors (ISVs) are responsible for seamlessly connecting application logic to a variety of enterprise databases. Read this white paper to learn how ISVs can embed drivers and data providers with their own offerings for a more successful, customer-friendly data connectivity strategy.
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Hadoop Helps Bring ‘Big Data’ into a Data Warehouse Environment - Quickly
Sponsored by: SAP America, Inc.View this expert e-guide to find out how to incorporate unstructured data into data warehousing processes. Learn more about how you can extend data warehouse environments to manage big data and improve your approach to business intelligence.
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Solving Data Integration Challenges with SQL and NoSQL
Sponsored by: TalendThis paper offers a guide to help you choose the best offering for your data integration needs. Explore the NoSQL movement and find out the requirements for success in this new ecosystem.
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GS Retail: Lowering TCO by 30 percent with faster, smarter analytics
Sponsored by: IBMAccess this white paper to learn about GS Retail's decision to implement a new data warehouse analytic system data mart to provide the analytics it needed to propel growth, with better performance and cost efficiency.
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Taming the Data Beast: Integrating Systems and Applications for a Better Business
Sponsored by: Quest Software, now a part of DellRead a new white paper to learn about the latest data management techniques. If you're doing some form of extract, transform, and load processing, you'll learn how to dramatically simplify data integration with innovative change data capture for decision support systems, business intelligence, data warehousing, and much more. Read the paper today.
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Accountable HealthCare Drives Big Data and Analytics
Sponsored by: Hewlett-Packard LimitedMany ACOs are coming across challenges to big data and analytics, such as data complexity, conflicting IT priorities, and lack of understanding of the power of big data and analytics. Continue on for insights into the relationship between accountable care initiatives and big data and analytics technology and how to overcome typical challenges.
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Oracle Exadata X3-8 Database In-Memory Machine
Sponsored by: ORACLE APACView this data sheet to learn how the Oracle Exadata Database Machine delivers extreme performance for all types of database workloads including online transaction processing (OLTP), data warehousing (DW), and consolidation of mixed workloads.
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Oracle Exadata X3-2 Database In-Memory Machine
Sponsored by: ORACLE APACRunning high-performance OLTP, DW and mixed workloads using Oracle databases requires the right foundation of hardware, database servers, storage servers and network technology. View this data sheet to learn what to look for in each of these crucial components in order to optimize Oracle workload performance.
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A New Dimension to Data Warehousing: 2011 IOUG Data Warehousing Survey
Sponsored by: ORACLE APACA 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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eBook: Meeting the Challenge of Big Data
Sponsored by: Oracle Corporation UK LtdThe biggest challenge in IT today is how to master big data. If utilized properly, you can gain deeper insight into your business as a whole to foster better decision making, offer higher quality services, reduce costs, and more. Read on to learn how overcome the challenges of big data with ease.
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New Data Warehousing Strategies for Big Data
Sponsored by: HP & Intel®High-volume unstructured data has its own set of characteristics that often make it too difficult for traditional standalone and relational databases to process. As a result, a major shift in big data warehousing is taking place, and this expert e-guide will cover how to be successful in tackling the challenges of new warehousing strategies.
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Understanding Oracle business intelligence and analytics
Sponsored by: ParAccelIn this SearchOracle.com expert e-guide, read a Q&A that dives into the topics covered at the annual summit held this January by the business intelligence (BI) special interest group within the Independent Oracle Users Group (IOUG), including advanced Oracle analytics, connectors to Hadoop, the R statistical programming language, and big data.
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Best practices in Oracle Data Warehousing
Sponsored by: ParAccelWith its noninutrusive method, low-impact, real-time data integration software can liberate your systems from data extract processing batch windows for Oracle data warehousing and allow you to extract data at any time, even when users are online. Read this expert e-guide to learn more about real-time data collection for Oracle data warehouses.
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The road to Hadoop
Sponsored by: SAP America, Inc.This e-guide highlights several popular Apache Hadoop use cases, and explores how organizations can leverage Hadoop to better prepare for long term big data analytics success.
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FAQ: Hadoop for BI and Analytics
Sponsored by: SAP America, Inc.Despite its idiosyncrasies and lack of user-friendliness, the Apache Hadoop framework offers real advantages for organizations tackling big data challenges and real-time analytics. Access this e-guide for answers to FAQs for BI professionals seeking to leverage the benefits of this niche technology as part of their big data analytics initiatives.
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Presentation Transcript: Offloading Your Oracle Analytics for Improved Performance
Sponsored by: ParAccelRead this presentation transcript to learn how an analytic offload from the warehouse onto an analytical platform can extend the life of your existing data warehouse by up to two years and result in accelerated analytic performance, improved price performance, reduction in database administration and lower storage requirements.
