Fully functional ETL pipelines using Apache Spark in the Cloud

Cognilytic delivered fully functional end to end big data analytics pipelines (notebooks) to the ISV customer as per the below specifications:

Created end to end fully functional Scala notebooks

Created fully functional Python notebooks

Training data storage and processing pipelines as an interplay of several Azure services.

Business Impact

Owing to tight collaboration between ISV customer and vendor, Cognilytic helped the customer realize the following business impacts:

Big Data Management

Client could successfully process terabytes of data through spark based parallel processing

Lower Turnaround Times

Reduced job turnaround times through ease of building, training and deploying Data-bricks notebooks for complicated workloads such as recommendation engines (as per Use Cases addressed).

Implementation of Lambda Architecture

Cognilytic delivered fully functional end to end big data analytics pipelines  to the ISV customer