Workflow automation involves automating repetitive tasks and processes in a sequence using technology, reducing the need for manual intervention. It involves designing, creating, deploying, and automating business processes like data entry and customer interactions. Workflow automation uses software to replace manual and paper-based processes. Its primary goal is to ensure that the right people work on the right tasks at the right time.

Hey, you! Yeah, you! The puzzled-looking Spring Boot developer, scouring the web for a guide on integrating your microservices with Apache Kafka on Confluent Cloud with Stream Governance. Admit it, you’ve been Googling nonstop for the past hour and all you’ve found are examples using StringSerializer/StringDeserializer with not even the slightest mention of "schema registry-aware" serialization methods. And I bet the examples you found are implemented in Java.

This summer marks five years since we announced our first fully managed connector on Confluent Cloud in 2019, the Amazon S3 Sink Connector. Since then, our connector offerings have not only expanded significantly but also enabled teams to send hundreds of petabytes of data throughput. Today, we support over 80 pre-built, fully managed connectors, custom connectors, and secure private networking.

At Snowflake, our product philosophy is centered on a single unified platform, and thus, a single core engine. To support all your workload needs with unmatched performance and efficiency, we continuously enhance and deliver performance improvements on this core engine. This approach allows you to benefit from enhanced performance effortlessly, without incurring additional costs or requiring migrations, upgrades or manual intervention.

Digitalization, as we’re talking about in this article, refers to the strategic use of digital technologies and analytics to shift customer interactions from physical locations to digital platforms like apps and online services.

Ramkumar Nottath, the Senior Solutions Architect at AWS, beautifully puts it. And that’s where low-code or no-code ETL platforms can help—to make the data consumable and democratize it. In this blog, I explain low-code vs. no-code from my experience.