You have dedicated tons of man-hours to building your product and strengthening your service. You are trying to ensure that your application is useful but, above all, that it succeeds at making users come back for more. But then, *gasp*, they don’t! Why? What went wrong? How can you get them to come back?
Today, we’re excited to announce the Unravel Winter Release ! This winter release introduces major enhancements and improvements across the platform, including comprehensive cost management for Databricks, support for Delta Lake on Databricks, data observability for Google BigQuery, interactive pre-check before installation and upgrade.
New edition enables data professionals to gain end-to-end visibility and more effectively optimize cost and performance of modern data stack
Until recently, teams were building a small handful of Kafka streaming applications. They were usually associated with Big Data workloads (analytics, data science etc.), and data serialization would typically be in AVRO or JSON. Now a wider set of engineering teams are building entire software products with microservices decoupled through Kafka. Many teams have adopted Google Protobuf as their serialization, partly due to its use in gRPC.
