Heard on the Street – 5/25/2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

“Above the Trend Line” – Your Industry Rumor Central for 5/22/2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

insideBIGDATA Latest News – 5/18/2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

From Data Mess to Data Mesh 

In this contributed article, David Castro-Gavino, Global Vice President of Data at HelloFresh, highlights how the data mesh movement has been underway in recent years with the goal of reducing interdependencies and enabling self-service business intelligence. However, moving to a distributed data ownership takes organization, planning and buy-in from the right stakeholders, and we cannot underestimate the cultural change needed to accomplish this.

Heard on the Street – 5/15/2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

insideBIGDATA Latest News – 5/8/2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

TOP 10 insideBIGDATA Articles for April 2023

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

Heard on the Street – 5/3/2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

PingCAP Empowers Open Source Community with New GitHub Data Explorer Tool

PingCAP, the provider of the advanced distributed SQL databases, announced the introduction of its new GitHub Data Explorer tool. This innovative new tool is built to help developers and open-source contributors achieve deeper insights into their GitHub activity, streamline workflows, and increase productivity.

Kinetica Announces Conversational Query – ChatGPT Integration with Analytic Database

Kinetica announced an analytic database to integrate with ChatGPT, ushering in ‘conversational querying.’ Users can ask any question of their proprietary data, even complex ones that were not previously known, and receive an answer in seconds. The combination of ChatGPT’s front-end interface that converts natural language to Structured Query Language (SQL), and Kinetica’s analytic database purpose built for true ad-hoc querying at speed and scale, provides a more intuitive and interactive way of analyzing complex data sets.