Run and schedule complex Hadoop/SPARK data transformations by simply using SQL, no PySpark coding required.
Run complex jobs and orchestrate your dependencies using SQL and integration with Amazon Simple Notification Service (SNS).
Build an environment of analytics ready data assets for consumers of data.
BryteFlow addresses these challenges by providing a point-and-click SQL editor to harness the power of AWS S3. In comparison to other storage solutions, AWS S3 cents-per GB economics is too hard to ignore in an era of endless growth of data. S3 has become the de facto object storage standard for storing all spectrum of data, from raw to normalised, structured and unstructured.Download (PDF)