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‘What Is Big Data’ Question Finally Settled?

Oct 29, 2014 |

People have been debating what “big data” means ever since the term appeared in the lexicon. Researchers at Cal Berkeley recently pepper dozens of prominent data scientists and industry leader with the question in hopes of settling the big question once and for all. You’ve undoubtedly heard many definitions for big data over the years. For some, you have big data when it can’t be stored on a single computer, or it’s the combination of volume, velocity, and variety (some Read more…

What You May Have Missed at Strata + Hadoop World 2014

Oct 21, 2014 |

Talk about information overload. If you were one of the lucky 5,000 to attend the Strata + Hadoop World conference last week, then you were subject to a marathon session of big data keynotes delivered continually for the better part of two days. It’s understandable that you missed out on some of the big data news announced at the show, including Cray’s new Hadoop appliance, or the latest tools from Revolution Analytics and Tableau. Don’t worry: We’ll get you back Read more…

How Baidu Uses Deep Learning to Drive Success on the Web

Sep 22, 2014 |

The Chinese Web giant Baidu is investing heavily in deep learning technologies as it seeks to drive intelligence from big data using high performance computing (HPC). From speech and facial recognition to language transaction and Web search, Baidu relies on deep learning and artificial intelligence technologies to improve a range of customer-facing applications. Dr. Ren Wu, a distinguished scientist at Baidu’s Deep Learning Institute (IDL), discussed Baidu’s use of deep learning technologies in a keynote presentation at Tabor Communication’s recent Read more…

TPC Crafts More Rigorous Hadoop Benchmark From TeraSort Test

Aug 18, 2014 |

While Moore’s Law has made computing and storage capacity less expensive with each passing year, the amount of data that companies are storing and the number and sophistication of the algorithms that they want to employ on that data to perform analytics is growing faster than the prices are dropping. And that means the bang for the buck of the underlying hardware and the analytics software that runs atop it matter. The trouble is that benchmarking systems takes far too Read more…

AMPLab’s Tachyon Promises to Solidify In-Memory Analytics

Aug 14, 2014 |

U.C Berkeley’s AMPLab first landed on the radar screens of data scientists with Apache Spark, which promises to provide an in-memory data processing framework to replace or augment MapReduce. More recently, the tech wizzes at AMPLab have whipped up Tachyon, a new distributed file system that sits atop HDFS and aims to allow multiple Hadoop or Spark applications and jobs to access the same data at memory speeds without fears of corrupting it. The rapid rise of Apache Spark demonstrates Read more…

News In Brief

Military Insurer USAA Embraces IBM’s Watson

Jul 24, 2014 |

IBM said this week it is expanding commercialization of its Watson cognitive computing technology through a deal with military financial services provider USAA that will result in what IBM said will be Watson’s first commercial application. The partnership calls for USAA to offer an app called “Watson Engagement Advisor” as part of a pilot program to help veterans transition back to civilian life. The app is designed to advise USAA members on their separation from the military based on Watson’s Read more…

Cloudera, Dell, Intel Target ‘Big Data Ecosystem’

Jun 24, 2014 |

Cloudera, Dell and Intel said they plan to launch dedicated Dell In-Memory Appliances for the Cloudera Enterprise as a way to boost real-time analytics performance. The partners said the goal of the engineering partnership is to advance enterprise deployments of Apache Hadoop as well as to integrate hardware and software to help enterprises leverage advanced data analysis. The latter would be enabled through incorporation of real-time data streams into customers’ applications. The partners said the initial effort would be the Read more…

SiSense Tweaks Memory to Boost Data Analytics

Jun 2, 2014 |

Business intelligence software vendor SiSense is forecasting that soaring demand among small and mid-sized companies for data analytics could help triple it sales this year. The Israeli company differentiates itself from competitors through its “In-Chip” technology that speeds up and scales data processing by tweaking existing processing resources in computers. This approach leverages CPU cache, generally the fastest available memory, along with RAM (in-memory) and disk memory to speed up data processing at rates it claims are up to 100 Read more…

Making Hadoop Relevant to HPC

May 27, 2014 |

Despite its proven ability to affordably process large amounts of data, Apache Hadoop and its MapReduce framework are being taken seriously only at a subset of U.S. supercomputing facilities and only by a subset of professionals within the HPC community. That in a nutshell is the contention of Glenn K. Lockwood of the San Diego Supercomputer Center, who wonders why Hadoop remains at the fringe of high-performance computing while looking for ways to move it into the HPC mainstream. “Hadoop Read more…

NumaQ Speeds Analytics with Massive Shared Memory Cluster

Apr 25, 2014 |

An in-memory big data analytics appliance dubbed NumaQ is said to allow up to 32-terabytes of data to be loaded and analyzed in memory, helping to eliminate a major bottleneck in data analytics performance.

This Just In

NVIDIA Unveils Tesla K80 Dual-GPU Accelerator Designed for Data Analytics

Nov 17, 2014 |

NEW ORLEANS, La., Nov. 17 — NVIDIA today unveiled a new addition to the NVIDIA Tesla Accelerated Computing Platform: the Tesla K80 dual-GPU accelerator, the world’s highest performance accelerator designed for a wide range of machine learning, data analytics, scientific, and high performance computing (HPC) applications. The Tesla K80 dual-GPU is the new flagship offering of the Tesla Accelerated Computing Platform, the leading platform for accelerating data analytics and scientific computing. It combines the world’s fastest GPU accelerators, the widely used CUDA parallel computing Read more…

Advancements Made to Teradata Database

Oct 20, 2014 |

NASHVILLE, Tenn., Oct. 20 – Teradata Corp., the big data analytics and marketing applications company, today announced engineering advancements to the Teradata Database that deliver analytic performance and system efficiency through new memory and CPU optimizations. These enhancements strengthen Teradata’s approach to in-memory computing and enable customers to seamlessly and automatically realize the greatest benefit from their investment in memory. “Teradata is relentlessly dedicated to engineering a smarter, simpler way to leverage memory and CPU to drive performance,” said Scott Gnau, president, Teradata Labs. Read more…

OVH Launches Cloud Service Based on IBM POWER8 Processor

Oct 17, 2014 |

ARMONK, N.Y., Oct. 17 — IBM today announced that leading Internet hosting provider OVH has launched an on-demand cloud service based on IBM’s POWER8 processor, tuned specifically for Big Data, high performance computing and database workloads. In addition to introducing this new cloud service, OVH has become the newest member of the OpenPOWER Foundation, an open development community over 60 members strong worldwide collaborating to further leverage the POWER processor’s open architecture for broad industry innovation. OVH serves 700,000 customers with 180,000 hosted environments in 17 data centers Read more…

ARM Cortex-A57-Based Hadoop Demonstration Achieved on AMD Opteron A-Series

Sep 30, 2014 |

SAN FRANCISCO, Calif., Sept. 30 — AMD today will make the first public demonstration of Apache Hadoop running on an ARM Cortex-A57-based AMD Opteron A-Series processor. In a technical session at the JavaOne conference to be delivered this afternoon by AMD corporate fellow Leendert van Doorn, the company will show how the expanding AMD Opteron A-Series server software ecosystem now includes Hadoop, the Java-based framework for storage and large-scale data processing. In addition, Henrik Stahl, vice president, Java product management and Internet of Things at Oracle, will join van Doorn on stage Read more…

Magma Enables Map-D to Utilize GPU Clusters

Jun 23, 2014 |

SAN DIEGO, Calif., June 23 — Magma and Map-D have teamed up to develop an integrated solution for the visualization and analysis of Big Data across a cluster of GPUs. This exciting Big Data solution combines new ultra fast expansion technology from Magma, with Map-D’s real-time, end-to-end visualization and analytics platform. Magma’s expansion chassis, the ExpressBox 3600, allows Map-D to parse out parallel computations to multiple GPUs without the bottlenecks of traditional super computer architecture. By housing GPUs in one single chassis, Magma allows Read more…