Nexla’s Post

I recently spoke with several enterprise architects and data leaders, and one question kept coming up: How does Nexla work with Databricks? Thanks Saket Saurabh and Oleksii Kotliar for putting together this amazing blog. The link is in my comments. Nexla’s integrates with Databricks out of the box.  → The out of box integration with Unity Catalog enables all the new features of Databricks like Data Intelligence Platform, GenAI etc.  → By leveraging Databricks’ powerful compute environment and Spark’s distributed processing capabilities, Nexla provides a flexible, cloud-native solution for transforming and managing data pipelines. How Nexla’s Spark ETL Works  → Source Setup: When setting up the ETL flow, Nexla offers a user-friendly interface for selecting data sources. You can seamlessly connect to your Databricks cluster for compute without any performance impact.  → Transformation Setup: Nexla allows users to define transformations similar to its standard flows. Basic operations like creating new columns or modifying existing ones can be done no-code or with Spark SQL supporting ANSI-standard SQL for transformations. What’s more, Nexla ensures smooth previews using SQL during pipeline design using the data samples, allowing users to verify the SQL they’ve written before it will be executed on the cluster.  → Destination Setup: Like the source setup, the destination configuration can either point to a cloud storage location or a delta table. Once the destination is defined, the flow is ready for execution.