We are very excited to announce that Unravel is now available for Google Cloud Dataproc. If you are already on GCP Dataproc or on a journey to migrate on-premises data workloads to GCP Dataproc then Unravel is now available immediately to accelerate and de-risk your Dataproc migration and ensure performance SLAs and cost targets are achieved.
Over the summer, Talend released Talend Summer ’19, which includes updates to Talend Cloud and Talend 7.2. The new release serves as the industry’s first fast and easy on-ramp to accelerate the development of all types of integration environments from simple ingestion tasks to the most comprehensive integration scenarios.
According to positive psychologist Mihály Csíkszentmihályi, what I described with this skiing experience is known as flow state, defined as an “optimal state of consciousness where we feel our best and perform our best.” Csíkszentmihályi, who popularized the term in his 1990 book, notes the mental state of flow involves “Being completely involved in an activity for its own sake. The ego falls away. Time flies.
I recently became a new mom, and like many others, there are many frustrating moments for me, big and small. Stepping into a whole new world of products that I’m not aware of ever existed, playing the guessing game on what size anything my baby will need and for how long, and that late-night diaper run to the store, just to name a few. As a consumer, I’m confused, time-strangled and desperately looking for ways to simplify my shopping experiences, both online and offline.
Talend continues to evolve and simplify the implementation of CI/CD. In this blog, I will show how with the availability of Talend Cloud on Microsoft Azure, we can offer full automation, zero-installation and end-to-end delivery of your Continuous Integration and Delivery Pipelines to make all your DevOps goals achievable.
Innovation in the BI industry died about 30 years ago. Sure the colors and format may be different but what’s delivered to business users is exactly the same and that's a real problem. I think this is because the industry spends more time thinking about how to make a data analyst’s life easier rather than helping business users get the most value from their data.
