Building Real-Time Data Pipelines with Microsoft Azure, Databricks, and Confluent

Building Real-Time Data Pipelines with Microsoft Azure, Databricks, and Confluent

Processing data in real time is a process, as some might say. Angela Chu (Solution Architect, Databricks) and Caio Moreno (Senior Cloud Solution Architect, Microsoft) explain how to integrate Azure, Databricks, and Confluent to build real-time data pipelines that enable you to ingest data, perform analytics, and extract insights from data at hand. They share about where to start within the Apache Kafka® ecosystem and how to maximize the tools and components that it offers using fully managed ...

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Multi-Cluster Apache Kafka with Cluster Linking ft. Nikhil Bhatia

Multi-Cluster Apache Kafka with Cluster Linking ft. Nikhil Bhatia

Note: This episode was recorded when Cluster Linking was in preview mode. It’s now generally available as part of the Confluent Q3 ‘21 release on August 17, 2021. Infrastructure needs to react in rea...

31 Elo 202131min

Using Apache Kafka and ksqlDB for Data Replication at Bolt

Using Apache Kafka and ksqlDB for Data Replication at Bolt

What does a ride-hailing app that offers micromobility and food delivery services have to do with data in motion? In this episode, Ruslan Gibaiev (Data Architect, Bolt) shares about Bolt’s road to ado...

26 Elo 202129min

Placing Apache Kafka at the Heart of a Data Revolution at Saxo Bank

Placing Apache Kafka at the Heart of a Data Revolution at Saxo Bank

Monolithic applications present challenges for organizations like Saxo Bank, including difficulties when it comes to transitioning to cloud, data efficiency, and performing data management in a regula...

19 Elo 202128min

Advanced Stream Processing with ksqlDB ft. Michael Drogalis

Advanced Stream Processing with ksqlDB ft. Michael Drogalis

ksqlDB makes it easy to read, write, process, and transform data on Apache Kafka®, the de facto event streaming platform. With simple SQL syntax, pre-built connectors, and materialized views, ksqlDB’s...

11 Elo 202128min

Minimizing Software Speciation with ksqlDB and Kafka Streams ft. Mitch Seymour

Minimizing Software Speciation with ksqlDB and Kafka Streams ft. Mitch Seymour

Building a large, stateful Kafka Streams application that tracks the state of each outgoing email is crucial to marketing automation tools like Mailchimp. Joining us today in this episode, Mitch Seymo...

5 Elo 202131min

Collecting Data with a Custom SIEM System Built on Apache Kafka and Kafka Connect ft. Vitalii Rudenskyi

Collecting Data with a Custom SIEM System Built on Apache Kafka and Kafka Connect ft. Vitalii Rudenskyi

The best-informed business insights that support better decision-making begin with data collection, ahead of data processing and analytics. Enterprises nowadays are engulfed by data floods, with data ...

27 Heinä 202125min

Consistent, Complete Distributed Stream Processing ft. Guozhang Wang

Consistent, Complete Distributed Stream Processing ft. Guozhang Wang

Stream processing has become an important part of the big data landscape as a new programming paradigm to implement real-time data-driven applications. One of the biggest challenges for streaming syst...

22 Heinä 202129min

Powering Real-Time Analytics with Apache Kafka and Rockset

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 Borth...

15 Heinä 202125min

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