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  • Top 4 Data Storage Concerns for Law Firms

    Sponsored by: Peak10

    In this resource, learn what takeaways you can glean by studying the 4 major data storage concerns faced by law firms, and find out how their solutions to these problems can be used in your organization's storage strategy.

  • How to Secure Your Data and Protect Your Bottom Line

    Sponsored by: IBM

    New technology trends, including cloud, mobile and big data, create opportunities for your enterprise to exploit analytic insights. But the same things that enable these opportunities can skyrocket your risks if proper data security and governance controls aren't in place. Learn how you can protect your data to avoid risk.

  • Five Reasons You're Not Getting the ROI You Expect from Your Cloud Data Warehouse Investment

    Sponsored by: Looker

    There would be no point in buying an iPhone to use it only as a watch, and the same goes for cloud data warehousing. To completely fulfill the promise of a cloud data warehouse, you must take advantage of what the cloud makes possible. Learn 5 ways you may be sabotaging the success of your cloud data warehouse, and find 3 ways to move forward.

  • 5 Principles for Analytics Success In the Healthcare Industry

    Sponsored by: Looker

    Healthcare data is complicated, and also has to comply with extra regulatory and insurance reporting measures. Uncover 5 principles for analytics success, and learn how they could apply to your business.

  • How to Use Redis DB for Real-Time Analytics

    Sponsored by: Redislabs

    Uncover the real-time analytics capabilities of Redis database, which is fit for a variety of real-time scenarios.

  • Start-Up Guide: Spark and Redis

    Sponsored by: Redislabs

    Learn about the initial steps needed to start using Apache Spark and Redis. Uncover the steps for a basic Apache Spark install, followed by usage of the Spark-Redis package to expose Redis data structures to Spark. Plus, view a "word count" example to demonstrate how to use Spark, Redis and the spark-redis package together.

  • Technology Spotlight: Hortonworks Data Platform on IBM Power Systems

    Sponsored by: Hortonworks

    How can you get seamless integration of machine and deep learning using IBM's PowerAI deep learning platform? In this brief, uncover how Hortonworks Data Platform can do this and more.

  • IBM Hortonworks Data Platform on IBM Power

    Sponsored by: Hortonworks

    Explore this technical reference for IT professionals who are defining and deploying solutions for Hortonworks Data Platform (HDP) on IBM Power Clusters. Learn about objectives, scope, requirements, key concepts and reference designs.

  • Product Spotlight: Working with You on Your Analytics Journey

    Sponsored by: BIQed

    When choosing a technology partner, there are multiple factors to consider beyond the technical: Collaboration, capability, and goals also have to be taken into consideration. Learn what BIQed can bring to the table as an analytics partner.

  • 7 Tips for More Effective Data Visualizations

    Sponsored by: Qlik

    Effective data visualization takes skill and storytelling, an eye for detail, and an understanding of your audience. Learn the 7 secrets that can make the difference between great visualizations and just another set of charts.

  • 5 Key Problems Solved with IT Operations Analytics

    Sponsored by: Syncsort

    IT operations analytics (ITOA) is essential in helping you predict and prevent issues associated with enterprise data caused by increasing volume and disparity. Uncover 5 key issues that can be solved with ITOA.

  • Top 10 Considerations for SAP Big Data and Analytics

    Sponsored by: Cisco Systems, Inc. & Intel Corporation

    Discover the top 10 considerations for implementing a successful SAP-based big data tool, including: Protect your data, reduce risk, and 8 more.

  • Hortonworks and IBM

    Sponsored by: Hortonworks

    What happens when two industry heavyweights partner on an open data platform? Learn how (and why) Hortonworks and IBM have come together; combining Hortonworks Connected Data Platforms and IBM Data Science Experience.

  • Drowning in Data

    Sponsored by: Veritas

    To go digital, information management is critical. With more data flowing in and out of your organization, that data is driving a digital transformation. Check out the infographic to learn key strategies to manage your data-powered transformation.

  • How (And Why) To Harness Real-Time Insights With A Streaming Platform

    Sponsored by: Confluent

    With real-time decision making on everyone's agenda, now is the time to put a streaming platform at the center of your business. Learn 3 reasons why many companies arrive at their need for a streaming platform, how to harness real-time data with a streaming platform, and more.

  • The Cloud-Based Approach to Achieving Business Value From Big Data

    Sponsored by: Amazon Web Services

    What are the 5 key ways the cloud delivers for big data users? In this report by 451 Research, uncover the answer in an overview of the available offerings and adoption trends of cloud for big data, barriers you'll face, and learn how cloud service providers can help meet objectives.

  • Building a Data Lake on AWS

    Sponsored by: Amazon Web Services

    In this e-book, discover tips on how best to build your data lake on AWS to gain benefits ranging from cost-effective storage, to a highly secure cloud infrastructure. Then, read on to learn how the MLB is using an AWS hosted data lake to capture and analyze every play.

  • Drive Analytics Value into Business Operations

    Sponsored by: IBM

    Furthering your analytics capabilities can mean the difference between trumping the competition or lagging behind. In this product overview, learn how IBM's BD2 Analytics Accelerator can be leveraged to access enterprise data in place and increase your business insights.

  • How to Overcome the Top 5 Big Data Challenges– It's All About the Cloud

    Sponsored by: Amazon Web Services

    This white paper analyzes the top 5 challenges companies face when undergoing a big data initiative. Then, learn how an AWS cloud storage environment can help mitigate these concerns.

  • Deploying a Data Lake in AWS

    Sponsored by: Amazon Web Services

    Inside, learn why AWS is the ideal cloud storage environment for your data lakes, and provide you with including storage tiering, a variety of analytics programs and frameworks, an internal metadata catalog, and more.

  • Bring Out The Best Insights With Modern Analytics

    Sponsored by: IBM

    It's important to keep up with your insights, so you can make the best decisions for your business. How can you make better business moves and bring analytics to where your data resides? Learn how you can deliver modern analytics with visual reports and dashboards across interfaces.

  • Building Big Data Storage Solutions for Maximum Flexibility

    Sponsored by: Amazon Web Services

    In this comprehensive white paper, learn about the robust options AWS offers your business in terms of ingestion methods, data cataloging, data protection for data lakes and more. Then, learn about the innovative query-in-place analytics tools to help you eliminate costly and complex extract, transform, and load processes.

  • Why Your Business Is (Probably) Drowning In A Data Deluge

    Sponsored by: Cintra

    In this white paper, learn 5 common pain-points when it comes to storing and managing big data, and find out what steps you can take to help ease these burdens.

  • Machine Learning Boosts Application Uptime

    Sponsored by: Hewlett Packard Enterprise

    Use this infographic to learn how applying machine learning analytics to your storage system can help you smooth and simplify the identification and remediation of data delivery interruptions.

  • Best Practices: Working With and Using Splunk Cloud

    Sponsored by: Splunk

    How does Splunk cloud architecture compare on-premise deployments? Join Erix Six and Shaun Bland of SPlunk as they explain best practices of using Splunk cloud for architecture schemes, user management, forwarders, and more.

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