Powering Real-Time Analytics with Apache Kafka and Rockset

Using large amounts of streaming data increasingly requires interactive, real-time analytics and dashboards—and this applies to any industry, including tech. CTO and Co-Founder of Rockset Dhruba Borthakur shares how his company uses Apache Kafka® to perform complex joins, search, and aggregations on streaming data with low latencies. The Kafka database integrations allow his team to make a cloud-native analytics database that is a fundamental piece of enterprise infrastructure. Especially in e-commerce, logistics and manufacturing apps are typically receiving over 20 million events a day. As those events roll in, it is even more critical for real-time indexing to be queried with low latencies. This way, you can build high-performing and scalable dashboards that allow your organization to use clickstream and behavioral data to inform decisions and responses to consumer behavior. Typically, the data follow these steps:Events come in from mobile or web apps, such as clickstream or IoT dataThe app data is sent to the cloudData is fed into the database in real timeThis information is shared live on a dashboard or via SaaS application embedsFor example, when working with real-time analytics in real-time databases, both need to be continuously synced for optimal performance. If the latency is too significant, there can be a missed opportunity to interact with customers on their platform. You may want to write queries that join streaming data across transactional data or historical data lakes, even for complex analytics. You always want to make sure that the database performs at a speed and scale appropriate for customers to have a seamless experience. Using Rockset, you can write ANSI SQL on semi-structured and schemaless data. This way, you can achieve those complex joins with low latencies. Further data is required to supplement streaming data, but it can be easily supported through supported integrations. By having a solution for database requirements that are easily integrated and provide the correct data, you can make better decisions and maximize the result. EPISODE LINKSReal-Time Analytics and Monitoring Dashboards with Apache Kafka and RocksetWatch the video version of this podcastJoin the Confluent CommunityLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Kafka streaming in 10 minutes on Confluent CloudUse 60PDCAST to get an additional $60 of free Confluent Cloud usage (details)SEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo  🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes.👍 If you enjoyed this, please leave us a rating. 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.