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Data Warehouses Research

  • Enabling an Agile Data Warehouse with Automation

    Sponsored by: Attunity

    Watch this webinar to learn how to overcome the limitations of traditional data warehouses with modern technology, which can enable you to automate and accelerate routine IT tasks associated with designing, creating, populating, and managing data warehouses and data marts.

  • Making an Operational Data Store (ODS) the Center of Your Data Strategy

    Sponsored by: Attunity

    This white paper provides an overview of why organizations today need operational data stores, how to sell an ODS to 5 different stakeholder groups, and best practices for implementing an ODS.

  • Stay Grounded With Cloud Data Management

    Sponsored by: SearchDataManagement

    What separates cloud data management from on-premises tools isn't just a lot of hot air. Access this expert handbook to find consultant David Loshin's advice on how to track where information is being dispersed, a case study on one company's experience with cloud data management, and an explanation on the effect of the cloud on BI processes.

  • Ensuring a Sustainable Architecture for Big Data Analytics

    Sponsored by: Idera

    Access this white paper to learn about an extended data warehouse architecture that can keep up with the pace of data growth, how to integrate 3 analytics environments, and how to reap the most value from big data.

  • Orlin & Cohen Orthopedic Group Benefits from a 24x7 Managed Electronic Medical Records Database Architecture

    Sponsored by: Cintra/Oracle

    In this white paper, learn how Orlin & Cohen overcame the challenges its legacy Windows-based Oracle standard Edition architecture and upgraded to an enterprise-class platform. Learn how they accomplished this without the typical cost and complexity associated with enterprise architecture but still gained high performance and reduced risk.

  • Designing a Data Virtualization Environment: A Step-By-Step Approach

    Sponsored by: Red Hat

    This technical white paper describes a step-by-step approach for setting up a data virtualization environment. Access now for do's, don'ts, and guidelines to help your organization develop effective and efficient data virtualization.

  • Designing a Logical Data Warehouse

    Sponsored by: Red Hat

    This white paper describes the design of a logical data warehouse architecture with data virtualization tools. Learn about a more agile design that allows BI specialists to develop new reports and change existing ones more quickly.

  • Big Data Management for Healthcare: Enabling Near-Real-Time Decisions

    Sponsored by: Hewlett-Packard Enterprise

    View this webcast to learn how a healthcare information systems company enabled near real-time decision-making by replacing their legacy data warehouse with a more effective big data strategy.

  • SSDs for Big Data – Fast Processing Requires High-Performance Storage

    Sponsored by: Micron Technology

    This white paper dives into the influence of high-performing storage systems have on big data applications. Read on and discover why solid-state drives are leading the way for empowered big data initiatives.

  • Data Warehouse Appliances: Impact and Best-in-Class Capabilities

    Sponsored by: IBM

    In this Aberdeen Group research report, learn how data warehouse appliances enable organizations to perform varied and complex analytics to support data-driven decision-making. Additionally, explore the impact organizations are experiencing with data warehouse appliances and near real-time analytics.

  • Unify Data Access Across the Logical Data Warehouse

    Sponsored by: IBM

    By 2020, there will be over 30 billion connected devices. This webcast goes into detail about what this means for the future of data and explains how a logical data warehouse strategy can help you keep up by allowing you to access all your relevant data from a single application.

  • Leveraging Apache Hadoop and a Big Data Platform to Accelerate Time to Value

    Sponsored by: IBM

    In this white paper, learn about a hardware-agnostic software platform that provides new ways of using diverse and large-scale data collections, providing access to insights that were previously unattainable.

  • SQL Server 2014 and the Data Platform

    Sponsored by: Microsoft

    This data sheet presents three reasons SQL Server is beneficial to the enterprise, offering details about each one. Discover why building, deploying, and managing solutions that span on-premises and cloud environments just got easier.

  • The Integral Parts of a Logical Data Warehouse

    Sponsored by: IBM

    In this detailed white paper, explore the paradigm of the logical data warehouse in the era of big data and how the components work together. Additionally, learn which workloads will perform best on which components, and compare costs.

  • Cloud Analytics Flies Low

    Sponsored by: SearchDataManagement

    In the cover story, uncover how First Tech Federal Credit Union and PayPal are leveraging cloud technologies to drive analytics programs. Via a recent TDWI report, learn how 309 of your peers will use cloud data management tools for future projects, tap into drivers for more data, how analytics initiatives are hinging on data quality, and more.

  • Spark Muscles Into Big Data Processing

    Sponsored by: SearchDataManagement

    Armed with data processing, streaming and machine learning capabilities, the multitalented Apache Spark architecture is becoming a force in its own right.

  • Shining a Light on SQL Server Storage Strategies

    Sponsored by: SearchSQLServer.com

    Database administrators must attend to SQL Server storage needs. This guide provides tips on doing just that.

  • Better Together: Hadoop and Your Enterprise Data Warehouse

    Sponsored by: SAS

    When looking at the big picture, Hadoop isn't an effective replacement for your enterprise data warehouse. So how can you get the best of both worlds? This expert e-guide explores how Hadoop and the data warehouse can complement each other on business intelligence projects to help you gain strategic insights

  • Business Information ANZ January 2016

    Sponsored by: TechTarget ANZ

    This issue looks at the challenges Australian organisations have turning the large volumes of data they collect to their advantage.

  • Getting Started with Hadoop on Openstack

    Sponsored by: Rackspace

    The following resource will provide readers with an example of how to get started with Apache Hadoop in the cloud. Inside, learn how to launch Hadoop cluster with two nodes and growing up to 64 nodes.

  • Getting Data into your Big Data Cluster

    Sponsored by: Rackspace

    The following resource examines the various approaches to migrating your data into cloud big data clusters. Inside learn why the method matters extensively based on where your data is stored and ultimately, uncover the method that ensures success with Hadoop.

  • A Guide to Easing Your Big Data and Hadoop Management

    Sponsored by: Rackspace

    In this white paper, you will discover how to reap the benefits of big data without getting bogged down in deployment, optimization and maintenance challenges—by utilizing a big data management platform. Read on key into Hadoop management challenges and how to overcome them.

  • Building a Smart Data Lake

    Sponsored by: Cambridge Semantics

    In this short video you will learn how top companies are creating "smart data" that can be used anywhere in the organization. Read on to discover how the smart data lake can help you solve your most pressing business challenges.

  • 3 Biggest Challenges of Implementing Big Data Analytics in Healthcare

    Sponsored by: Dimensional Insight, Inc.

    In this e-guide, Naeem Hashmi discusses strategies to overcome episodic culture, data puddles, and IT leadership challenges in order to exploit the value of big data in healthcare organizations.

  • Buyer's Guide: Hadoop Offers Economical Options for Managing Big Data

    Sponsored by: SearchDataManagement

    There's more to Hadoop than meets the eye. Along with its core components, there are a whole slew of related software tools packaged by vendors into commercial Hadoop distributions. In this expert Hadoop software tool buyer's guide, learn about features and functionalities, and economical options for managing and analyzing big data in Hadoop.

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