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Data Warehouse Architectures Research

  • Hortonworks and Talend Big Data Sandbox

    Sponsored by: Hortonworks

    Access this video to delve into the benefits of Hadoop data management and find out how your organization and transform, cleanse, enrich, and aggregate data instantly to free up valuable compute time for high impact analytics. Plus watch now to learn about the easy-to-use sanbox.

  • Modern Data Architecture with Apache Hadoop

    Sponsored by: Hortonworks

    This paper discusses Hadoop, its capabilities as a data platform and how it supports the new concept of the Hybrid Data Warehouse, in combination with data virtualization, to deliver a single unified and coherent logical view on all enterprise data assets in and outside the data lake, minimizing unneeded data replication.

  • Requirements for Data Warehousing in the Cloud - What to look for to choose the right solution

    Sponsored by: Snowflake

    Watch this webcast to hear Snowflake's CEO, founders, founder architect, and VP discuss how Snowflake has reinvented the data warehouse.

  • Delivering Data Warehousing as a Cloud Service

    Sponsored by: Snowflake

    Access this white paper to learn the benefits of transforming data warehousing into a cloud service. Also, discover the five requirements for delivering data warehousing as a service.

  • Simply Hired's Analytics Strategy Drives Customer Value and Exponential Growth

    Sponsored by: Looker

    View this case study to learn how Simply Hired modernized its data architecture and was able to provide dynamic, personalized data views to a wide range of employees.

  • DashDB: Keeping Data Warehouse Infastructure Out of Your Way

    Sponsored by: IBM

    Access this resource to uncover a fact sheet that will help your organization build more with no infrastructure investment and rapid cloud provisioning, grow more with in-memory technology without the hassle of data warehousing architecture, and know more with greater efficiency and performance.

  • 8 Proven Strategies for Data Integration

    Sponsored by: Information Builders

    This white paper highlights 8 proven data integration strategies and uses real-world examples to demonstrate the high-value, high-return data access options that are available to you.

  • Looking into Data Warehouse Management? Do Your Homework

    Sponsored by: SAP

    This helpful e-guide illustrates the ways these platforms deliver business value that justifies the cost. Along with learning myriad examples of how real-time, operational reporting and data is worth the price tag, you'll find first-hand accounts of how in-memory data warehousing has served real companies for the better.

  • High Performance Analytics Tools: Bringing Speedier Data Processing to Businesses

    Sponsored by: SAP

    This e-guide lays out the basics on what faster analytics processing systems can do for organizations. Discover the benefits brought on by these tools, including higher volumes of operational and transactional data, which is processed in real time.

  • Data Warehouse Appliances' Promises of Speed and Simpler Landscapes Have Customers Listening

    Sponsored by: SAP

    Access this expert guide today to explore the evolving role of analytic appliances, and to investigate how these platforms may help your business to handle the challenges of big data.

  • An Introduction to Amazon Redshift

    Sponsored by: Global Knowledge

    In this article, explore what Amazon Redshift is as well as what it is not. Find out how it compares with the costs, performance, support for third-party virtualization tools, scale and reliability. Also, examine a comparison of Amazon Redshift versus other solutions.

  • New Options, Issues for Data Warehouses Classroom

    Sponsored by: SearchDataManagement

    The enterprise data warehouse isn't dead, but it's no longer the be-all and end-all for storing BI and analytics data. This virtual classroom will bring IT and business professionals up to date on new issues to take into account in designing and managing EDWs.

  • IBM vs. SAP vs. the rest: Find out what IT pros think

    Sponsored by: IT Central Station

    With the number of enterprise level data warehouse appliances available today, how can you be sure that your next purchase will be the right one for your organization's needs? In IT Central Station's premium guide, you'll discover what real IT professionals think about the market's top solutions based on their experiences.

  • Data warehouse augmentation: the queryable data store

    Sponsored by: IBM

    This white paper highlights how organizations can leverage big data to solve business challenges. It focuses on query-able data warehouses as a way to reduce costs and gain business insights. Discover how you can free up your data warehouse from processes slowing it down and disrupting revenue goals.

  • Optimising the data warehouse

    Sponsored by: ComputerWeekly.com

    Analysts Clive Longbottom and Rob Bamforth discuss approaches to optimising datawarhouses for big data.

  • Cognos: BI: IBM Cognos Data Manager - Data integration for the last mile to BI

    Sponsored by: IBM

    This white paper explores the major challenges associated with integrating data and the key processes and factors associated with developing a conformed, dimensional data warehouse solution.

  • TechTarget Solution Spotlight: Big Data Challenges & Pitfalls

    Sponsored by: IBM

    Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.

  • HTML5 Rewrites the Rule on Web Development

    Sponsored by: SearchDataManagement

    With HTML5, developers have at their hands the tools to revolutionize Web and mobile app development.

  • How Eliminating SAN from your Oracle Data Warehouse can Increase Performance

    Sponsored by: Dell, Inc. and Fusion-io

    In this paper, a business intelligence provider for the semiconductor industry eliminated SAN from its Oracle data warehouse to increase their average performance 5 to 10 fold.

  • Solution Spotlight: The Future of Data Warehousing Infrastructure and Architectures

    Sponsored by: IBM

    This e-guide examines why the data warehousing appliance business case must trump traditional tools for business to address needs such as costs, flexibility and agility while eliminating key technology silos.

  • Game Changing Performance with SAP In-Memory

    Sponsored by: Cisco and SAP

    SAP HANA promises to be a game changer in the business intelligence (BI) and analytics space. However, some organizations remain skeptical of the benefits of investing in yet another technology to accelerate analytics. This e-guide puts those doubts to rest with an in-depth look at how to build a business case for in-memory computing and SAP HANA.

  • Building a Trusted SAP HANA Data Center

    Sponsored by: Cisco and SAP

    In this comprehensive resource, explore a variety of hardware appliances that are SAP-approved as platforms for HANA. Discover how these appliances from Cisco, EMC, and VCE can benefit your SAP HANA implementation, and evaluate how they stack up against the five essential characteristics of a SAP HANA hardware platform.

  • 7 must-have capabilities of big data DBMS

    Sponsored by: IBM

    Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.

  • MDM and Data Quality for the Data Warehouse

    Sponsored by: Informatica

    This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.

  • Optimizing ETL: The Key to Accelerating Data‐Driven Business Decisions

    Sponsored by: Syncsort

    Whether you’re analyzing information from a data warehouse, reviewing click-stream data to find the latest trends, or running a query on current sales figures, the elapsed time to perform these processes means lost revenue. This article explains the steps you can take when processing your data to reduce elapsed time.

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