Sign up for our newsletter and get the latest big data news and analysis.

Examining Architectures for the Post-Exascale Era

On Wednesday, November 11th, at 9am PST, a group of researchers and industry players on the leading edge of a new approach to HPC architecture join to explore the topic in a webinar titled, “Disaggregated System Architectures for Next Generation HPC and AI Workloads.”

Procurement Turns to AI to Navigate Supply Chain Upheaval

In this special guest feature, Ophelia Otto, scoutbee Industry Relations Lead, discusses AI technology can bring a business operation like procurement from the stone age to the modern age by allowing teams to rely on automation rather than placing all bets on little black books and outdated spreadsheets.

2021 Trends in Data Modeling: Attaining the Universal Data Model Ideal

In this contributed article, editorial consultant Jelani Harper offers a number of important trends in data modeling for 2021, specifically inroads for attaining the universal data model ideal. Common data models are speedily becoming a necessity for organizations to determine all relevant data for any singular use case, the most convincing of which is still cognitive computing deployments.

Why Companies Must Feed Data Unicorns to Maximize ROI

In this contributed article, Amar Kanagaraj, Founder and CEO of oneDPO, presents an innovative concept to handle enterprise data. Data assets are used and valued differently depending on the organization and, within that, the team. We can classify data assets based on usage into four categories.

WekaIO Announces Cloud-Native, Unified Storage Solutions for the Entire Data Lifecycle

WekaIO™ (Weka), an innovation leader in high-performance, scalable file storage for data-intensive applications, today announced a transformative cloud-native storage solution underpinned by the fast file system, WekaFS™, that unifies and simplifies the data pipeline for performance-intensive workloads and accelerated DataOps.

NetApp AI and Run:AI Partner to Speed Up Data Science Initiatives

NetApp, a leading cloud data services provider has teamed up with Run:AI, a company virtualizing AI infrastructure, have teamed up to allow faster AI experimentation with full GPU utilization. The partnership allows teams to speed up AI by running many experiments in parallel, with fast access to data, utilizing limitless compute resources. Run:AI enables full GPU utilization by automating resource allocation, and NetApp® ONTAP® AI proven architecture allows every experiment to run at maximum speed by eliminating data pipeline bottlenecks.

Myth or Reality? The Truth Behind the Evolution of Apache Ranger

In this special guest feature, Balaji Ganesan, CEO and co-founder of both Privacera, the cloud data governance and security leader, and XA Secure, acquired by Hortonworks, discusses the truth behind the evolution of Apache Ranger, and also explores common misconceptions and lessons learned from almost a decade of community experience with Apache Ranger in production environments.

The Relationship between Big Data and Protests

In this contributed article, Magnolia Potter believes the implications of big data in social justice issues are vast and concerning. With everything from privacy violations to prevention possible when it comes to handling protests, free speech rights are a valid consideration in the management of big data.

The Impact of the Covid-19 Pandemic on Conversational AI

In this contributed article, technologist Jason White discusses conversational AI and how this technology addresses the need to power a company’s priority to have intelligent and automated conversations with customers.

Data Accuracy and Measurement Validity Hold the Key to the Future of Oil and Gas

In this special guest feature, Steve Cooper, Vice President of Data Management Solutions at Quorum Software, discusses the importance of data accuracy and measurement validity as these professionals are confronted with integrating the oilfield to the back office. Over the past several years, data volume in the oil and gas industry has grown exponentially through the advancement of information technology, but the next wave of innovation in the space will require streamlining data collection, storage and measurement across multiple sources in order for these companies to stay efficient and spend and save resources where they can.