Systems | Development | Analytics | API | Testing

One of the really interesting trends that I’m seeing in the marketplace relates to consultancies. Historically, the primary business model for consultancies was to sell their expertise and services. Every customer would get a unique service offering that was defined specifically for them.

This article discusses four bottlenecks in BigData applications and introduces a number of tools, some of which are new, for identifying and removing them. These bottlenecks could occur in any framework but a particular emphasis will be given to Apache Spark and PySpark.

When Jackie Edwards wrote “Keep On Running” back in 1965, he certainly wasn't thinking about the future of computing. But, it's the Spencer Davis Group grooves that is the soundtrack playing in my head when I think about Kubernetes and the business value it brings. Enabling your environment to “Keep On Running” is just one of many of Kubernetes’ value adds.

Last week it was announced that Yellowfin jumped to Visionary in the Gartner 2020 Magic Quadrant for Analytics and BI Platforms. Toot toot! This is a massive achievement for the entire Yellowfin team putting us in the same room as products by the biggest players on the planet. What makes it so special is that we are a privately funded, Melbourne based organisation smashing it against huge, cashed-up tech giants.

Fresh off a new funding round which includes strategic cloud partner Microsoft, Databricks continues to make huge strides in its mission to ease Spark complexity and simplify analytics through its Unified Analytics Platform. Databricks has also graduated from “visionary” to “leader” in the latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms in 2020.

We are excited to welcome the first release of 2020 which provides greater value through enhanced capabilities across our data analytics platform.