In this article, we'll see how to use Airtable to store realtime messages using a group chat app as an example. We'll use Ably's realtime infrastructure to power the chat app and make use of WebHooks to publish messages to Airtable directly in the correct order from Ably. Check the full source code of the group chat app written in VueJS on GitHub and the live demo of the application at https://realtime-chat-storage.ably.dev/
We’re continuously releasing new capabilities to enable more people to be productive and compliant when working with Apache Kafka. Our engineers have been hard at work on a great Christmas present for our amazing community of Kafka users. Before unwrapping our latest and greatest release, here’s a sneak peak of what’s inside.
We’re happy to announce that we’ve successfully completed PCI (Payment Card Industry Data Security Standard) Service Provider Certification. This means that at Logit.io we are committed to the security of storing, processing and transmitting credit card transactions.
We’re excited to share that after adding ANSI SQL, secondary indices, star schema, and view capabilities to Cloudera’s Operational Database, we will be introducing distributed transaction support in the coming months. The ACID model of database design is one of the most important concepts in databases. ACID stands for atomicity, consistency, isolation, and durability. For a very long time, strict adherence to these four properties was required for a commercially successful database.
Across nearly every sector working with complex data, Spark has quickly become the de-facto distributed computing framework for teams across the data and analytics lifecycle. One of most awaited features of Spark 3.0 is the new Adaptive Query Execution framework (AQE), which fixes the issues that have plagued a lot of Spark SQL workloads. Those were documented in early 2018 in this blog from a mixed Intel and Baidu team.