As companies process ever-increasing amounts of data, moving it in real time is a huge challenge for organizations. Confluent is a streaming data platform built on top of the open source Apache Kafka project that’s been designed to process massive numbers of events. To discuss this, and more, Confluent CEO and co-founder Jay Kreps will […]
APIs are the grease turning the gears and wheels for many organizations’ IT systems today, but as APIs grow in number and use, tracking how they work (or don’t work) together can become complex and potentially critical if something goes awry. Now, a startup that has built an innovative way to help with this is […]
Amagi provides cloud broadcast and targeted advertising software so that customers can create content that can be created and monetized to be distributed via broadcast TV and streaming TV platforms.
Organizations are swimming in data these days, and so solutions to help manage and use that data in more efficient ways will continue to see a lot of attention and business. In the latest development, SingleStore — which provides a platform to enterprises to help them integrate, monitor and query their data as a single […]
Google is tying everything together with a handbook for navigating hybrid work, which includes best practice blueprints for five common hybrid meetings.
Bringing order and understanding to unstructured information located across disparate silos has been one of more significant breakthroughs of the big data era, and today a European startup that has built a platform to help with this challenge specifically in the area of life sciences — and has, notably, been used by labs to sequence […]
Their newest collaboration is the Box app for Zoom, a new type of in-product integration that allows users to bring apps into a Zoom meeting to provide the full Box experience.
Cribl is developing unified data pipelines, called “observability pipelines,” to parse and route any type of data that flows through a corporate IT system.
Bodo.ai, a parallel compute platform for data workloads, is developing a compiler to make Python portable and efficient across multiple hardware platforms.
The truth is, we are still early when it comes to data transformation. The success of tech giants that put data at the core of their business models set off a spark that is only starting to take off.