Hadoop. Once largely unknown, hit the scene in part due to the explosion of unstructured data. Download the new white paper, “Making the Most of Your Investment in Hadoop,” through which SQREAM explores an approach to Hadoop that aims to help businesses reduce time-to-insight, increase productivity, empower data teams for better decision making, and increase revenue.
Making the Most of Your Investment in Hadoop
Hadoop is a popular enabler for big data. But with data volumes growing exponentially, analytics have become restricted and painfully slow, requiring arduous data preparation. Often, querying weeks, months, or years of data is simply infeasible. Download the whitepaper to learn how to deal with the exponential growth of data, reduce time spent on data preparation, and generate insights faster from ad-hoc queries of raw data.
What Makes GPUs, GPU Databases Ideal for BI?
What makes GPU databases ideal for BI? That’s what a new white paper from SQream DB wants to explain — incorporating real-world use cases to explain how you can turn your existing BI pipeline into “a more capable, next-generation big data analytics system.” Download the new report, courtesy of SQream DB, to learn more about how GPUs and GPU databases can help you organize and benefit from your next big data analytics system.
Accelerating SQL and BI Analytics — Extending Analytical BI with a GPU Database
Organizations worldwide are facing the challenge of effectively analyzing their exponentially growing data stores. Download the new white paper from SQream DB that explores the features that make GPU databases ideal for BI and incorporates real-world use-cases from actual customer implementations. It also explains how you can turn your existing BI pipeline into a more capable, next-generation big data analytics system using powerful GPU technology.