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Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle. As lakehouse architectures (including offerings from Cloudera and IBM) become the norm for data processing and building AI applications, a robust streaming service becomes a critical building block for modern data architectures.

Discover where your company stands with its SEO performance in comparison to the most relevant industry benchmarks.

Salesforce is among the leading CRM software platforms for collecting and leveraging user data to make smart sales, marketing, and customer support decisions. However, other software in your tech stack can benefit from such data. With the right Salesforce middleware, you can exchange data easily with your other critical tools.

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.

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.

Navigating the intricacies of Apache Kafka just got a lot more intuitive. With Lenses 5.3 we bring you peace of mind, regardless of where you are in your Kafka journey. Our newest release is all about smoothing out the bumps, and making sure you're equipped to handle Kafka's challenges with confidence. Here's a sprinkle of what's in store, ahead of our big 6.0 release later this year.

Transferring files securely between machines is a fundamental part of the ETL (Extract, Transform, Load) process, which involves extracting data from one source, transforming it for analysis, and loading it into a data warehouse. The challenge? Ensuring these files are both sent and received without interception by malicious entities. For years, FTP (File Transfer Protocol) served as the go-to method to transfer files between a client and server on a network.