WhitepapersDatanami's white paper database contains reports from the leading thought-leaders and idea generators in the Datanami industry.
With organizations collecting more data than ever, the growth of data lakes is struggling to keep up. To pull out ahead of fast data, many are choosing real-time data analytics for lightning fast results for everything from healthcare to hedge funds.
At the intersection of next-gen parallel processors, interconnect technologies and storage systems, machine learning (ML) is coming into its own. Join us as we examine top hurdles to effective ML implementation, and explore use cases from the leading edge.
When it comes to customer insights, businesses have come a long way from the low-tech times of focus groups and secret shoppers, but for the new age of big data comes with baggage of its own.
When sensitive data gets relegated to the cloud, the price is constant vigilance. With pressure to maintain data security at an all-time high, emerging tools designed to detect and protect privileged data in Hadoop will soon be enterprise essentials. Is your data protected?
As enterprise databases continue to grow, a semantic data model and an efficient data warehouse becomes necessary. Finding a platform that can integrate cohesively with your existing data storage methods can be tricky. This informative document shows how graph-aware tools can eliminate the need to compromise between a data warehouse and data swamp, allowing the business to arrive at insights faster than ever before. Read on to see how this database technology can allow your company to work with more Read more…
In the age of Big Data, the leading edge of machine learning is no longer defined by chess games or spam filtering, but instead the ability to disrupt industries through decisive insights. But empowering your organization shouldn’t require a PhD in data science. Learn how to tame your organization’s data with our latest whitepaper, sponsored by Teradata.
Download this report to take a look at how top data scientists and engineers are accelerating their time to value and staying afloat in Hadoop data lakes with better visibility and faster data processing.
Download this report to take a look at how enterprises are blending online analytical processing (OLAP) systems with the power of Hadoop to intuitively interact with immense data volumes.
This 49-page in-depth report takes a look at how two very different industries are scaling familiar advanced computing concepts to new heights, forcing major players to keep pace in order to remain competitive.
Proven in finance – the industry with the most demanding time-series data analytics requirements – kdb+ offers enterprises in other industries similar benefits and enhanced technical advantage. But don’t take our word for it: check out the whitepaper.