Finally, Fast, Simple Data Discovery in the Cloud: Amazon Web Services Debuts FPGA-Based Heterogeneous Compute With Ryft Virtual Analytics

Running complex analytics against massive amounts of all types of data—legacy, streaming, structured, semistructured and unstructured—is a difficult challenge.  At Ryft, we’ve blazed the trail to solve this struggle with FPGA/x86 heterogeneous compute accelerators that eliminate data preparation latency and make data discovery fast and simple. But until now, only companies willing to modernize their […] 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

Edge Computing Series: Top 3 Challenges to Mining Internet of Things (IoT) Data

Business growth was once about delivering quality goods and building a strong and trusted brand that inspired customer loyalty. As consumers, we had a relatively limited number of options with which to meet our needs. Today, we are all presented with a myriad of brand new enticing options for shopping, banking, seeking healthcare, hiring advisors […] 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

Start with Business Needs, then Drive High Performance Computing Architectures

In the business world, data scientists and others seeking insights from the big data deluge are looking for ways to maximize the potential of all their contemporary and high-performance computing (HPC) analytics systems. Many are trying for force-fit what they have available — in most cases CPU clusters, some augmented with smaller GPU clusters — […] Read More

Why Edge Computing Is Here to Stay: Five Use Cases

Data loses its value when it can’t be analyzed fast enough. Edge computing and analytics can solve the challenge for enterprises ranging from oil and gas production to banks and retailers. Security cameras, phones, machine sensors, thermostats, cars and televisions are just a few of the items in daily use that create data that can […] Read More