Transforming High Performance Analytics: Eliminate Big Data Gridlock to Deliver Real-time Insights at the Edge, in the Data Center and in the Cloud

Every analyst knows that data preparation steps like ETL and indexing add significant latency to the analytics process. But until now, those steps were necessary to normalize data to speed and scale analytics. In part three of this series on transforming high performance analytics (see part 1 and part 2), we’ll show you how the […] Read More

Transforming High Performance Analytics: Converged Storage and Compute Powered by FPGAs Unlocks 100X Faster Analytics

In the new era of fast data, we must free analytic performance from the prison of x86 and GPU sequential processors, which are architecturally incapable of scaling to analyze and identify trends and anomalies in massive quantities of data. Don’t get me wrong—these processors have their place, but most CPU and GPU clusters max out […] Read More

Transforming High Performance Analytics: How Current Network Infrastructures Are Creating Big Data Gridlock

Before data can be used to inform decisions, it must be converted into actionable intelligence through what was once a complex and drawn-out multistep process called the data pipeline. Each of the steps in a typical data pipeline might add an hour, many hours, a day or even a week of latency to the process. […] Read More

Outsmarting Google Search: Making Fuzzy Search Fast and Easy Without Indexing

Search is easy, right? It can be, if you know exactly what you’re looking for, or if your data set is small, clean and static enough to index often. That’s not the reality for organizations competing in a global marketplace that runs on data insights. Data comes at you fast and furious, and it does […] Read More

On-Demand Webinar: Harness IoT Data at the Edge for Real-Time Insights

If you missed the IoT Slam in December or just wanted to review the content, this should come as good news. We’re opening up the Ryft archives from late last year to make Pat McGarry’s keynote session, “Harnessing the Flood of IoT Data with Heterogeneous Computing at the Edge,” available with no fees or registration […] Read More

Big Data and Accelerating Time to Insight: How to Measure and Accelerate Mean Time to Decisions to Hone Your Competitive Edge

The time value of data, like the time value of money, decays over time. A constant influx of streaming data from social feeds, sales and other sources means that what was true a week or even an hour ago isn’t necessarily true now. To truly take advantage of the value of streaming data, enterprises must […] Read More

Hadoop vs. the Hype

It feels like every time you turn around these days, someone (mainly in the media) is talking about Hadoop. How it is changing how businesses work. How Hadoop is innovating big data technologies. How everyone is using Hadoop to bolster data analytics. But is that really the case? Fortune posted an interesting article earlier this […] Read More