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Learn how Fivetran’s Hybrid Deployment helps enterprises conquer data silos, achieve security and build a strategy for future growth.

We are proud to announce the release of Apache Kafka 3.9.0. This is a major release, the final one in the 3.x line. This will also be the final major release to feature the deprecated Apache ZooKeeper mode. Starting in 4.0 and later, Kafka will always run without ZooKeeper.

Understanding how your APIs handle and process data drives better decision-making. Different kinds of data flow through APIs and the services that consume them. But the actual information lives inside the HTTP request and response bodies. If you can effectively leverage that data with the contextual API metrics like status codes and routes, you can better understand how your customers consume your services.

Modern organizations generate and collect vast amounts of log data each day from an ever-increasing number of sources that includes IT infrastructure, networking devices, applications, cloud services, security tools, and more. This data is essential for powering use cases from security operations and threat hunting to application performance monitoring, but tapping into the full potential of log data can be challenging for organizations without the right tools and capabilities.

The way we interact with computers and digital systems has come a long way. Gone are the days of cryptic commands and rigid syntax; today, we can speak naturally to our devices, ask questions in complete sentences, and even have (somewhat) intelligent conversations with chatbots. This transformation is largely thanks to a fascinating field of artificial intelligence (AI) called natural language processing (NLP).

Authors: Martin Fiser, Field CTO at Keboola, and Martin Lepka, Industry Solutions at Keboola The Quick Service Restaurant (QSR) industry sits on a goldmine of data, yet many brands are only scratching the surface with their analytics. Locked within siloed Point-of-Sale (POS) systems across individual franchisees, this data remains underutilized rather than being put to work.

In the world of big data, configuration management is often the unsung hero of platform performance and cost-efficiency. Whether you’re working with Snowflake, Databricks, BigQuery, or any other modern data platform, effective configuration management can mean the difference between a sluggish, expensive system and a finely-tuned, cost-effective one.