Get insights and advice on automating repetitive data engineering, optimizing data platform costs, and accelerating data initiatives at your company.
Subscribe and get all the articles delivered straight to your inbox.Or customize your subscription to receive only the topics you are most interested in.
We’re announcing the addition of 75 new SQL functions that are now available in every customer environment by default. This includes powerful new functions like BOOL_AND, COUNT_IF, FIND_IN_SET, MAX_BY, WEEKDAY, and well, 70 more!!!
Now in Ascend, all stages of all Dataflows are queryable without switching tools or disrupting your development process. As part of this capability, we’ve built an interactive query editor that lets you interact with Connectors and Transforms in Dataflows, as well as Data Feeds broadcasting from other Data Services, as
This week, the team at Ascend is launching our Autonomous Dataflow Service, which enables data engineers to build, scale, and operate continuously optimized, Apache Spark-based pipelines.
At Ascend, we are excited to introduce a new paradigm for managing the development lifecycle of data products — Declarative Pipeline Workflows. Keying off the movement toward declarative descriptions in the DevOps community, and leveraging Ascend’s Dataflow Control Plane, Declarative Pipeline Workflows are a powerful tool that allows data engineers
We run everything on Kubernetes and manage system state in MySQL plus a large scale blob store (Google Storage/S3/Azure Blob Storage).
Subscribe and get all the articles delivered straight to your inbox.Or customize your subscription to receive only the topics you are most interested in.
