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This concise case study outlines how they chose to leverage a Data warehousing as a Service (DaaS), allowing their pricing analysts to have access to a live analytical database, reports, and a team of experienced consultants who understand their business requirements.
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Access the following white paper to uncover how a data manager works seamlessly with your Cognos BI solution to help simplify the way your data is presented. Get a firsthand look at how simplification can effectively increase the performance of the end user and more.
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Access the following white paper to uncover how to enable a faster SAP HANA deployment time and an overall faster time to ROI. Learn about the prerequisites for a smooth adoption, where to turn for additional services, and more.
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Read 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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This white paper addresses the business reasons to move to real-time data warehousing and describes the common data integration approaches, with an emphasis on using real-time CDC capabilities and Oracle’s data integration offerings in that area -- including Oracle GoldenGate 11g and Oracle Data Integrator Enterprise Edition 11g.
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You need to be able to store and analyze data as quickly as it's pouring into your business -- and that's pretty fast. Unfortunately, traditional data warehousing technologies aren't often up to the task. View this informative resource to get an in-depth look at three must-have capabilities for effective modern data warehouses.
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Read this paper to discover powerful, self-service business intelligence (BI) that helps you locate, evaluate, and use your crucial business information while minimizing the operational cost.
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Business is now demanding more analytical power to analyze new sources of structured and multi-structured data. The IBM Big Data Platform rises to the challenge to create this new analytical environment, making IBM a serious contender to support end-to-end analytical workloads.
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Learn how Pink OTC Market Inc., the third largest U.S. equity trading marketing place, built a highly available and reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
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This brief resource examines the true value of Apache Hive, a SQL engine for the Apache Hadoop framework. Inside, learn how Hive's facilities for data and metadata management are impacting the existing warehouse infrastructure and driving business success.
