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Data Warehouses Research

  • Data Warehousing in the Cloud

    Sponsored by: IBM

    Using a cloud-based data warehouse provides value. Uncover ways this approach to data warehousing can reduce startup costs, potentially eliminate ongoing maintenance costs, accelerate analysis, and more.

  • Spark for Big Data Initiatives: Biggest Opportunities & Challenges

    Sponsored by: SearchBusinessAnalytics

    This expert e-guide discusses how Spark users are overcoming the processing engine's maturity issues to extract optimal value out of big data. Explore the biggest benefits and limitations of Spark and discover where it stands in the market relative to its competitors.

  • BI in the Sky: Making Cloud Analytics Work

    Sponsored by: SearchBusinessAnalytics

    How can you decide if you should invest in cloud BI tools? This expert guide reveals crucial information on cloud BI and analytics for IT decision-makers. Discover the biggest trends, benefits, and challenges of cloud BI tools.

  • Data Warehouse and Data Management Solutions for Analytics

    Sponsored by: Microsoft

    In this white paper, discover which vendors are leading the pack in the data warehousing and data management for analytics market. Explore the strengths, weaknesses of 21 vendors, including Oracle, IBM, SAP, and more.

  • 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 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Preparing Your Data Architecture for Big Data Analytics

    Sponsored by: Hewlett-Packard Enterprise

    While big data can provide actionable insights to drive business value, your enterprise can't experience those benefits without the right data architecture in place first. In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project.

  • 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.

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