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Data Warehouse Software Research

  • Big Data in the Real World Using the Power of Amazon Redshift

    Sponsored by: Matillion

    In this webcast, learn the key benefits of moving to a cloud-based columnar database like Amazon Redshift. Explore the real-life implications of these benefits as well with a customer case study.

  • Simple is STILL Better: Embrace Speed & Simplicity for a Competitive Edge

    Sponsored by: IBM

    This white paper provides insight into what modern data warehouses need to accomplish to be relevant. Learn how adapting old technologies to manage new challenges is inadequate, and how you can manage big data simply and at low cost, while simultaneously processing advanced analytics at the speed of business.

  • Unifying Data Access across the Logical Data Warehouse

    Sponsored by: IBM

    A single, enterprise data warehouse can't keep up with the increasing complexity of data and growing demands for analytics. Discover how you can unify data access across a logical data warehouse and give users the ability to easily, quickly combine data even if it's spread across various sources.

  • How to Unlock Big Data's True Potential

    Sponsored by: IBM

    When it comes to big data, it can be difficult to combine data from disparate sources into a meaningful and valuable picture. Discover a business intelligence platform that can allow you to integrate data from heterogeneous sources, augment the data warehouse with Hadoop data services, leverage real-time analytics, and more.

  • 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.

  • Big Data Meets the Cloud

    Sponsored by: Attunity

    With the rise of big data, traditional data management strategies just can't keep pace with the demands of today's business users. Discover the benefits and challenges that companies have experienced by moving their data to the cloud.

  • Hadoop Meets the Logical Data Warehouse Webinar

    Sponsored by: Attunity

    In this webinar, IT leaders discuss how businesses can get the right data, at the right place and time, so that they can extract value from the data as possible. Specifically, learn the process for setting up a logical data warehouse, and how Hadoop factors into the equation.

  • Best Practices for the Data Lake

    Sponsored by: Attunity

    In this webcast, IT leaders discuss adopting data lakes and the maturity of this technology. Learn about trends pulled from a survey of 385 IT practitioners and stakeholders from various industries, all of whom are focused on key areas of concern and interest in data lake adoption.

  • Why Firms Struggle To Analyze More Data

    Sponsored by: Attunity

    In this Forrester report, discover the most common stumbling blocks organizations run into when attempting to leverage their ever-growing data stores, and how graphical analysis software can rebalance and optimize a data warehousing environment to facilitate the delivery of actionable insights.

  • High-Performance Data Warehouse Helps Midsize Enterprises Extract Value from Big Data

    Sponsored by: IBM

    As the volume, variety, and velocity of data continues to grow, midsize organizations often struggle to implement a data warehouse solution to extract value out of big data. Learn about a data warehouse appliance that can make advanced analytics simpler, faster, more accessible, and more affordable.

  • 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.

  • Copying Data from RDS into Amazon Redshift using Matillion ETL for Redshift

    Sponsored by: Matillion

    Access this resource to learn how Matillion ETL for Redshift can expediently ingest data from Amazon RDS, and get a first-hand experience with this tool by downloading a 14-day free trial.

  • 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.

  • Demo: ETL for Redshift

    Sponsored by: Matillion

    Access this informative webpage to learn about an ETL tool for Amazon Redshift, the key features of which include the ability to process millions of rows in seconds, an intuitive user interface, and more. Also get the opportunity to launch a 14-day free trial of this software.

  • 14 Day Free Trial Download of Matillion ETL for Redshift

    Sponsored by: Matillion

    This free 14-day free trial of an ETL tool for Amazon Redshift can provide a glimpse into what a cloud data warehouse can offer. Benefits include the ability to process millions of rows in seconds, fast setup with an intuitive UI, and more.

  • Amazon Redshift Advice and Best Practices: A Real World Guide

    Sponsored by: Matillion

    In this Amazon Redshift guide, uncover the features, real-world best practices for attaining optimal performance, and configuration options for Amazon's cloud-based data warehouse. Learn about the performance, cost, and scalability and how it can modernize your data capabilities.

  • Analytics in a Dash: Strategies to Speed Data Warehousing and Analysis in the Cloud

    Sponsored by: IBM

    This white paper highlights the advantages of augmenting your on-premise data warehouse with cloud services. Uncover substantial gains measured in speed and scalability, allowing your team to focus on business enablement issues instead of IT infrastructure.

  • Data Preparation at Forefront of Effective Analytics

    Sponsored by: SearchDataManagement

    This handbook focuses on self-service software, designed to help data analysts integrate information from various source systems and prep it for analysis. Learn how data preparation tools can contribute to more flexible analytics efforts and explore self-service data preparation technologies at two organizations.

  • 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.

  • 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.

  • Getting Real About Big Data: Build Versus Buy

    Sponsored by: Oracle Corporation

    When it comes to updating your big data infrastructure, should your business build a customized solution, or should you buy one? This white paper explores the pros and cons of both sides, and can help you determine what big data infrastructural model is right for your organization.

  • 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.

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