In 2011, Pope John Paul II was beatified, Prince William married Kate Middleton, "Game of Thrones" premiered, and Xplenty was born. On a quiet sycamore tree-lined street in Tel Aviv, Israel, breathing distance from Kiryat Sefer Park, the then-startup had just launched a game-changing Extract, Transform, Load (ETL) tool to process, transform, and move data at speed and generate big data analytics at scale. It would become the most advanced data pipeline platform on the planet.

With 9.5, we've focused on providing new capabilities and enhancements for everyone involved in the data to design workflow - analysts, developers, users - that streamline processes, introduce functional improvements and enrich the analytic experience for all. For the full list of updates, please read the release notes and check out our release highlights video below to see some of these new enhancements in action for yourself.

Our obsessive focus on customer success is at the heart of all things we do.

Cloud Dataprep by Trifacta is Google Cloud’s intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analytics and machine learning. Due to its serverless architecture, Dataprep does not need any infrastructure to deploy or manage, and is fully scalable.

As companies grow and become more data-dependent, data engineers find themselves in huge demand. Employers are snapping up all the best data engineering talent they can find, and some businesses have invested in fast-track professional development paths for DBAs and other more junior data positions. But here’s the thing — data engineers work best when they’re part of a balanced team, just like every other professional. Some organizations overlook this point.