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Data Warehouses White Papers

  • 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.

  • 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.

  • 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.

  • 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.

  • Why Enterprises Need Trustworthy Data

    Sponsored by: IBM

    In this e-book, information governance expert Paula Wiles Sigmon discusses what enterprises are doing to improve the quality of their data, who should be responsible for data that goes in and out of an enterprise data warehouse, and the emerging role of the chief data officer. Gain tips on how you can foster confidence in your data.

  • 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.

  • 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.

  • 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.

  • Three Challenges to Effective Business Intelligence

    Sponsored by: Attivio, Inc.

    Discover three major issues that limit the effectiveness of BI initiatives. Inside, BI expert Rick Sherman explains how many organizations' siloed approaches to IT and app development have led to subpar BI environments. Also uncover a step-by-step process to combine structured and unstructured 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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

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