SANTA CLARA, CA, July 21, 2021 — Quobyte Inc., a developer of scale-out software-defined storage (SDS), today announced availability of its Hadoop Driver. Quobyte’s new native driver for Hadoop addresses the limitations of the Hadoop Distributed File System’s (HDFS) high-capacity design within the enterprise. The new native driver brings significant benefits in optimizing Hadoop clusters for a much wider […]
Quobyte Releases Hadoop Native Driver for Analytics, ML, Streaming and Real-time Applications
July 21, 2021 by
Unify Your Analytics, and Keep Your Data Where It Suits You
August 6, 2020 by
In this sponsored post, Joy King, VP, Vertica Product Management & Product Marketing, believes that we need to stop our fixation with “data in one place.” The days of the single data repository are behind us. If you try doing that, you’ll incur so much data management time and cost that you’ll squander the savings even before you even get to the analysis stage. To put it simply, the goal is to unify, analyze, and act, because predictive analytics and proactive action is the definition of business success.
GigaOm Radar for Evaluating Data Warehouse Platforms
July 6, 2020 by
This new GigaOm Radar Report “GigaOm Radar for Evaluating Data Warehouse Platforms” provided by our friends over at Vertica, examines the leading platforms in the data warehouse marketplace, describes the fundamentals of the technology, identifies key criteria and evaluation metrics by which organizations can evaluate competing platforms, describes some potential technology developments to look out for in the future, and classifies platforms across those criteria and metrics.
GigaOm Radar for Evaluating Data Warehouse Platforms
July 1, 2020 by Leave a Comment
This new GigaOm Radar Report provided by our friends over at Vertica, examines the leading platforms in the data warehouse marketplace, describes the fundamentals of the technology, identifies key criteria and evaluation metrics by which organizations can evaluate competing platforms, describes some potential technology developments to look out for in the future, and classifies platforms across those criteria and metrics.
NetApp Deploys Iguazio’s Data Science Platform for Optimized Storage Management
June 10, 2020 by
Previously built on Hadoop, NetApp said it was also looking to modernize the service infrastructure “to reduce the complexities of deploying new AI services and the costs of running large-scale analytics. In addition, the shift was needed to enable real-time predictive AI, and to abstract deployment, allowing the technology to run on multi-cloud or on premises seamlessly.”
Designing HPC, Big Data, & Deep Learning Middleware for Exascale
October 31, 2017 by
DK Panda from Ohio State University presented this talk at the HPC Advisory Council Spain Conference. “This talk will focus on challenges in designing HPC, Big Data, and Deep Learning middleware for Exascale systems with millions of processors and accelerators. For the HPC domain, we will discuss about the challenges in designing runtime environments for MPI+X (PGAS OpenSHMEM/UPC/CAF/UPC++, OpenMP, and CUDA) programming models. Features and sample performance numbers from MVAPICH2 libraries will be presented.”
SC17 Invited Talk Preview: High Performance Machine Learning
August 22, 2017 by
Over at the SC17 Blog, Brian Ban begins his series of SC17 Session Previews with a look at a talk on High Performance Big Data. “Deep learning, using GPU clusters, is a clear example but many Machine Learning algorithms also need iteration, and HPC communication and optimizations.”
Podcast: PortHadoop Speeds Data Movement for Science
May 5, 2017 by
In this TACC Podcast, host Jorge Salazar interviews Xian-He Sun, Distinguished Professor of Computer Science at the Illinois Institute of Technology. Computer Scientists working in his group are bridging the file system gap with a cross-platform Hadoop reader called PortHadoop, short for portable Hadoop. “We tested our PortHadoop-R strategy on Chameleon. In fact, the speedup is 15 times faster,” said Xian-He Sun. “It’s quite amazing.”
Accelerating Hadoop, Spark, and Memcached with HPC Technologies
March 31, 2017 by
“This talk will present RDMA-based designs using OpenFabrics Verbs and heterogeneous storage architectures to accelerate multiple components of Hadoop (HDFS, MapReduce, RPC, and HBase), Spark and Memcached. An overview of the associated RDMA-enabled software libraries (being designed and publicly distributed as a part of the HiBD project for Apache Hadoop.”
Intel DAAL Accelerates Data Analytics and Machine Learning
February 23, 2017 by
Intel DAAL is a high-performance library specifically optimized for big data analysis on the latest Intel platforms, including Intel Xeon®, and Intel Xeon Phi™. It provides the algorithmic building blocks for all stages in data analysis in offline, batch, streaming, and distributed processing environments. It was designed for efficient use over all the popular data platforms and APIs in use today, including MPI, Hadoop, Spark, R, MATLAB, Python, C++, and Java.
