Companies are moving their data processing and analytics into the cloud at a faster pace than ever. In addition, volumes are exploding; scalable and elastic data processing frameworks are necessary. Apache SparkTM has established itself as the de facto standard to process data at scale.
Trifacta is integrated with Azure Databricks, enabling organizations to more efficiently explore, transform, clean and combine diverse data at scale. With this integration, Trifacta provides improved data preparation workload performance and scalability for companies implementing analytics on the cloud. Business leaders can drive more value from their analytic initiatives by improving the scale, agility and speed of their data preparation processes.
Databricks, founded by the original creators of Apache Spark™, provides the Unified Analytics Platform to accelerate innovation by unifying data science, data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production delivery of machine learning use cases.
Databricks provides a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.