2020 may well go down as the year where what seems impossible today, did become possible tomorrow. It’s been a year filled with disruption and uncertainty. One day we were all going to the office, and the next we were working from home. Businesses had to literally switch operations, and enable better collaboration and access to data in an instant — while streamlining processes to accommodate a whole new way of doing things.
After a self-isolated and event-free spring, some of us around the world welcomed a more promising summer. You might be taking some time away on a socially distanced holiday. You might be taking some time away from the day-to-day at home. But if a cold beer in the sun isn't enough to make up for these difficult months, the premier event for the Streaming Data Community is back! Kafka Summit has gone virtual this year and that means you can attend the event from anywhere.
Working with Apache Kafka and real-time applications comes with challenges. Visibility into the deployed applications and their dependency on what we call the “data fabric” is one of them (For the sake of this blog, it means Kafka and all its state and configuration). If you’ve built a multi-tenant real-time data platform with Kafka, where teams are deploying applications outside your jurisdiction, this is where the pain is particularly acute. It goes something like this.
Testing your Android apps just got a whole lot easier — with the new Export Universal APK Step you can generate and deploy a universal APK to your test device from an Android App Bundle.
Linear regression, alongside logistic regression, is one of the most widely used machine learning algorithms in real production settings. Here, we present a comprehensive analysis of linear regression, which can be used as a guide for both beginners and advanced data scientists alike.
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