Agriculture (Ag) is the oldest and largest industrial vertical in the world, and its importance continues to grow as it becomes more challenging for people to access healthy and fresh food. A recent Agriculture Analytics Market report, released by Markets and Markets, estimates that by 2023, the global agriculture analytics market size will grow from 585 million to 1.2 billion dollars as demands for real-time data analysis and improved operations increase.

With the proliferation of tools generating more available data to be collected, it’s becoming increasingly more and more important to automate your data pipeline to help you get to insights faster. GigaOm recently ran a report comparing a few automated data integration vendors, including Fivetran.

This past July 2 marked the end of my first year at Kong after joining with the acquisition of Insomnia – and quite a year it’s been. Prior to the acquisition, I was struggling to keep Insomnia’s momentum going as an indie. My time was spread thin, and I could no longer affect meaningful change.

All programming languages provide efficient data structures that allow you to logically or mathematically organize and model your data. Most of us are familiar with simpler data structures like lists (or arrays) and dictionaries (or associative arrays), but these basic array-based data structures act more as generic solutions to your programming needs and aren’t really optimized for performance on custom implementations. There’s much more than programming languages bring to the table.

A mere few months ago the majority of the world was forced to change drastically, including the move into a ‘fully remote’ mode of office work. As reality was bearing down upon us, tech managers and CEOs everywhere were huddled together trying to figure out how to not only make it work, but work well.

This article gives you an overview of Cloudera’s Operational Database (OpDB) performance optimization techniques. Cloudera’s Operational Database can support high-speed transactions of up to 185K/second per table and a high of 440K/second per table. On average, the recorded transaction speed is about 100K-300K/second per node. This article provides you an overview of how you can optimize your OpDB deployment in either Cloudera Data Platform (CDP) Public Cloud or Data Center.

So you’ve realized the benefits of test automation. Through your own research, or perhaps a small proof of concept, you’ve realized removing once-manual quality processes can accelerate release cycles and improve your user experience. You’ve built a small suite of tests, and the benefits are real. The next step in your journey, you realize, is to achieve the real value of automation, which means running it continuously and at scale.