The Confluent Q3 '24 Launch

The Confluent Q3 ’24 Launch is packed with the new features and tools needed to make stream processing a developer’s best friend. We’re also introducing Client-Side Field Level Encryption, WarpStream, and more! Our quarterly launches provide a single resource to learn about the accelerating number of new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.

Countly's New Data Schema: What's Changing, Why It Matters, and How It Affects You

For historical reasons, we have been using dynamic collection creation. This means that each new event creates a new collection in the database. While this provides some benefits, such as managing permissions on the collection level, it also has many downsides. And because we wanted to future-proof Countly, we decided to make this step and change the model, which will potentially allow us to do more in the future.

The Power of the Best-in-Class Ecosystem

In the business world, gaining the “unfair advantage” often seems like a strike of great luck and timing (think Zoom and the pandemic). But in reality, it’s often the result of deliberate strategies and actions (in Zoom’s case, delivering a superior user experience). One great strategy: getting the unfair advantage through a best-in-class technology ecosystem.

Real-Time Insurance Claims Processing With Confluent

The insurance industry has undergone a massive transformation over the last 20-30 years. Customer service and business processes that were once done on paper or over the phone are now completed via web and mobile experiences. As a result, manual paperwork and tasks have gradually become automated via software solutions. For the insurance customer, this transition has led to faster and more predictable experiences.

Run pandas on 1TB+ Enterprise Data Directly In Snowflake

As one of the most widely used libraries in the Python ecosystem, pandas helps developers analyze, load and transform data across data science, data engineering and machine learning. The flexibility and ease of use of the pandas API have driven rapid growth in popularity, with pandas being used by one in every five developers, according to the StackOverflow 2024 Developer Survey.

5 Effective Strategies for Optimizing Data Infrastructure Costs

With infrastructure spending rising, optimizing data infrastructure expenses has become a critical priority for business, technology, and data leaders. Join us for an insightful webinar on Mastering Data Infrastructure Cost Management with industry experts Sonny Rivera, CPO at Tifin AG and Snowflake Data Superhero, and Sid Lasley, VP of Solution Engineering at Hevo Data. Discover how to maximise the value of your investments in data infrastructure by navigating the complexities of cost management across multiple cloud service providers.