Please watch our on-demand session of Universal Data Distribution with Cloudera DataFlow Tech Talk, led by Michael Kohs, Director of Product Management at Cloudera.
Organizations use Cloudera DataFlow for diverse data distribution use cases ranging from cyber security analytics and SIEM optimization via streaming data collection from hundreds of thousands of edge devices to self-service analytics workspace provisioning and hydrating data into lake houses (e.g: Databricks, Dremio), to ingesting data into cloud providers’ data lakes backed by their cloud object storage (AWS, Azure, Google Cloud) and cloud warehouses (Snowflake, Redshift, Google BigQuery).
During this 90-minute session, we will discuss:
•Data movement/data integration challenges that every organization faces in hybrid environments.
•How to solve data movement/data integration challenges in a universal way using Cloudera DataFlow
•How DataFlow Deployments allows you to run your NiFi data flows with auto-scaling, push-button NiFi upgrades, CI/CD integration, and advanced KPI monitoring.
•How DataFlow Functions allows you to run NiFi data flows on serverless compute engines (AWS Lambda, •Azure Functions, Google Cloud Functions) for event-driven use cases.
•How the brand new DataFlow Designer makes it even easier for developers to build data flows.
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