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Data Warehouses White Papers

  • Popular Technologies Enrich Customer Experience Strategies

    Sponsored by: SearchCRM

    To improve customer experience, companies need to tune into the different platforms consumers use, unify data silos, integrate information systems and plan thoughtful strategies for engaging customers.

  • Reach New Performance Heights with Cloud Data Warehousing:

    Sponsored by: IBM

    Discover a high performance cloud data warehouse service that enables simple and fast information management, analytics, and business intelligence operations in the cloud. With this solution, your enterprise can store, manipulate, and analyze data without the added complexity of network cluster maintenance and database management.

  • Cloud-based data warehousing as-a-service, built for analytics

    Sponsored by: IBM

    Discover how a cloud-based data warehouse service offers integrated analytics to rapidly deliver answers. IBM's dashDB offers unique in-database analytics, R predictive modeling, and business intelligence tools could free you to analyze your data and get precise insights, quicker.

  • TOP 8 TRENDS FOR 2016 Big Data

    Sponsored by: Tableau Software

    Big data is experiencing a boom in importance and usage. More businesses are coming to rely on data for critical decisions. Why not make your data work for you? You already own it, so make the most of it. Read on to discover the top eight trends currently underway in big data and how to make them work for you.

  • The Path to Payoff on Big Data Analytics

    Sponsored by: SearchBusinessAnalytics

    Before you can reap the benefits of big data initiatives, it's important to strategize and plan – the earlier, the better. In this exclusive e-book, uncover real-life examples of successful big data analytics efforts and project management tips. Get advice on how to leverage big data technology for your company's success.

  • Increasing the Bottom Line in Banks: IoE Revealed

    Sponsored by: Cisco

    Today, an all-too-common occurrence happening within the banking sector is customers getting less value than they expect. This value gap emerges when customers do not receive financial advice when and where they need it. So how can banks close this gap and regain customer trust? Find out now.

  • Preparing Your Data Architecture for Big Data Analytics

    Sponsored by: Hewlett-Packard Enterprise

    In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project. Ahead, we explore why traditional data warehouse architectures aren't a good fit for the challenges of big data.

  • Getting More Out of Hadoop Data Lakes and Big Data

    Sponsored by: IBM

    This in-depth guide provides expert insights into the challenges posed by big data today and how technology is advancing to help overcome them. Learn what to consider before adopting a data lake, how Hadoop is coming closer to bridging the enterprise data warehouse gap, and more.

  • Moving Data at the Speed of Business

    Sponsored by: Oracle Corporation UK Ltd

    Explore survey results that show how organizations are using new strategies and approaches to improve the speed of data delivery and integration. Gain ideas on how deal with poor performance, siloed data, and slow response times.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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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