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DDN Named Datacenter Platform Partner of the Year at Intel Technology Partner Awards, Recognizing its Market Leadership at Scale

DataDirect Networks (DDN®) announced that it received the Intel® Technology Partner of the Year award for Datacenter Platform. DDN was honored for the creation and success of its Infinite Memory Engine® (IME®) SSD enabling product family, which leverages Intel technologies and allows customers to accelerate time to insight, and simplify workflows and applications in on premise, hybrid and cloud environments.

DDN and SQream Partner to Deliver Fast Big Data Analytics and Enterprise BI Acceleration at Massive Scale

DataDirect Networks (DDN®) today announced its strategic partnership with SQream to deliver real-time Big Data analytics solutions and significantly accelerate business decision making. The combination of DDN’s SFA and IME NVMe SSD storage platforms with SQream DB’s GPU-based Big Data SQL database (SQream DB) enables enterprises to effortlessly ingest, compress, store and analyze massive amounts of data.

Announcing AIRI: An Integrated AI-Ready Infrastructure for Deploying Deep Learning at Scale

Pure Storage (NYSE: PSTG), the all-flash storage platform that helps innovators build a better world with data, today announced the industry’s first comprehensive AI-Ready Infrastructure, AIRI, powered by NVIDIA. Architected by Pure Storage and NVIDIA, AIRI is purpose-built to enable data architects, scientists and business leaders to extend the power of the NVIDIA DGX-1 and operationalize AI-at-scale for every enterprise.

Interview: Dr. Yu Xu, CEO and Founder of TigerGraph

I recently caught up with Dr. Yu Xu, CEO and Founder of TigerGraph, to discuss the genesis of graph analytics, how the technology has evolved over time, how it’s being used today, along with a sense for where the graph market is headed.

How the Ties.DB Database Uses Blockchain Technology

Ties.DB has launched the first public, decentralized and distributed database that has been created by members of the crypto community for widespread use. This cutting edge B2B product offers an outstanding solution for the soaring demands of data storage. The distinct feature of Ties.DB is the its flexibility and adaptability of its database for any blockchain project, or app, either on Ethereum, Ark, Waves, Rchain or any other.

Does It Make Sense to Do Big Data with Small Nodes?

In this contributed article, Glauber Costa, Principal Architect at ScyllaDB, busts some myths about the best node size for big data. In this age of big data and powerful commodity hardware there’s an ongoing debate about node size. Does it make sense to use a lot of small nodes to handle big data workloads? Or should we instead use only a handful of very big nodes?

Tips from the Shelves: Proven Methods for Boosting Data Warehouse Speeds

In this special guest feature, Jason Harris, Evangelist at Panoply, discusses how data collection and analysis are further enhanced when including methods for disseminating, analyzing, and distributing data.

“Intelligent Storage” Market Survey Shows Growing Problem Moving Large Data Sets for a Variety of Applications

G2M Research, an analyst firm covering the Non-Volatile Memory Express® (NVMe) marketplace, released the results of its recent survey on the need for “Intelligence storage” for applications with large data sets. The survey, sponsored by NGD Systems, was conducted across 112 respondents from organizations involved in Big Data, artificial intelligence/machine learning, and Internet of Things (IoT) applications.

What’s in a Name? Data Lakes and “Bazaars”

In this contributed article, Steve Wooledge, Vice President of Marketing at Arcadia Data discusses the evolution of the data lake and its importance to the enterprise today. Any disillusionment with Hadoop or data lakes is not because the data platform isn’t working. Scale, speed, and security have all been fixed. It’s a lack of self-service access for business end users measured on those same dimensions – scale, speed, security… and of course, ease of use.

Magnetic Swirling Patterns May Offer A New Solution To Data Storage

In this contributed article, technology writer and blogger Kayla Matthews examines a new and potentially game-changing data storage technology involving the use of skyrmions, quasiparticles which have been predicted theoretically and observed experimentally in condensed matter systems. Scientists feel confident about future applications of the skyrmion structure could be used as improvements for conventional data storage devices.