We like to reduce the most mundane, complex and time-consuming work associated with managing a Kafka platform. One such task is backing up topic data. With a growing reliance on Kafka for various workloads, having a solid backup strategy is not just a nice-to-have, but a necessity. If you haven’t backed up your Kafka and you live in fear of disaster striking, worry no more.
An effective data platform thrives on solid data integration, and for Kafka, S3 data flows are paramount. Data engineers often grapple with diverse data requests related to S3. Enter Lenses. By partnering with major enterprises, we've levelled up our S3 connector, making it the market's leading choice. We've also incorporated it into our Lenses 5.3 release, boosting Kafka topic backup/restore.
AtScale enables Google Cloud users to build a single source of governed analytics to enable self-service business intelligence and data science programs.
How Windsor.ai, a Google Cloud Ready - BigQuery partner, helped Anything is Possible to build an automated pipeline into BigQuery.
When transferring data, especially in the context of Extract, Transform, and Load (ETL), the choice of protocol matters. Both SFTP and FTP provide solutions, but their intrinsic differences could greatly influence the outcome in terms of security and functionality. Here's everything you need to know about SFTP vs. FTP for ETL.
