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Data Warehouse Architectures 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.

  • 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.

  • Big Data Era: Embrace Speed & Simplicity in your Data Warehouse 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.

  • 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.

  • Boost Database Performance in your Existing Infrastructure

    Sponsored by: Dell, Inc. and SanDisk®

    In this white paper, uncover how an acceleration appliance can eliminate OLTP database performance bottlenecks and allow you to revive your legacy infrastructure instead of replacing it. Discover how this tool could help your organization boost database performance.

  • Accelerating your Legacy Data Architecture to Promote Growth

    Sponsored by: Dell, Inc. and SanDisk®

    In this resource learn how you can address 4 common challenges of working with a legacy data architecture. Discover how your business can successfully leverage data leads to gain a competitive advantage and promote growth.

  • 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.

  • 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.

  • Integrating Big Data Systems with Enterprise Data Warehouses

    Sponsored by: Oracle Corporation

    In this white paper, you will learn how to both maximize the business benefits of big data and minimize the risk of adopting new technologies with a unified query system. Read on to allow a single query to access data in multiple stores—be they Hadoop, NoSQL or relational databases.

  • The Big Data Architecture Dilemma For CIOs

    Sponsored by: Oracle Corporation

    In this e-guide you will learn the pros and cons of buying and building big data architectures. Download now to uncover which option could be right for your organization.

  • 6 Patterns of Big Data & Analytics Adoption

    Sponsored by: Oracle Corporation

    Access this research report to discover the importance of information architecture in your big data analytics. Learn 6 patterns of big data analytics adoption that prove the importance of information architecture.

  • 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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