Streaming Real-Time Sporting Analytics for World Table Tennis

Streaming Real-Time Sporting Analytics for World Table Tennis

Reimagining a data architecture to provide real-time data flow for sporting events can be complicated, especially for organizations with as much data as World Table Tennis (WTT). Vatsan Rama (Director of IT, ITTF Group) shares why real-time data is essential in the sporting world and how his team reengineered their data system in 18 months, moving from a solely on-premises infrastructure to a cloud-native data system that uses Confluent Cloud with Apache Kafka® as its central nervous system.&...

Jaksot(282)

Decoupling with Event-Driven Architecture

Decoupling with Event-Driven Architecture

In principle, data mesh architecture should liberate teams to build their systems and gather data in a distributed way, without having to explicitly coordinate. Data is the thing that can and should d...

15 Marras 202238min

If Streaming Is the Answer, Why Are We Still Doing Batch?

If Streaming Is the Answer, Why Are We Still Doing Batch?

Is real-time data streaming the future, or will batch processing always be with us? Interest in streaming data architecture is booming, but just as many teams are still happily batching away. Batch pr...

9 Marras 202243min

Security for Real-Time Data Stream Processing with Confluent Cloud

Security for Real-Time Data Stream Processing with Confluent Cloud

Streaming real-time data at scale and processing it efficiently is critical to cybersecurity organizations like SecurityScorecard. Jared Smith, Senior Director of Threat Intelligence, and Brandon Brow...

3 Marras 202248min

Running Apache Kafka in Production

Running Apache Kafka in Production

What are some recommendations to consider when running Apache Kafka® in production? Jun Rao, one of the original Kafka creators, as well as an ongoing committer and PMC member, shares the essential wi...

27 Loka 202258min

Build a Real Time AI Data Platform with Apache Kafka

Build a Real Time AI Data Platform with Apache Kafka

Is it possible to build a real-time data platform without using stateful stream processing? Forecasty.ai is an artificial intelligence platform for forecasting commodity prices, imparting insights int...

20 Loka 202237min

Optimizing Apache JVMs for Apache Kafka

Optimizing Apache JVMs for Apache Kafka

Java Virtual Machines (JVMs) impact Apache Kafka® performance in production. How can you optimize your event-streaming architectures so they process more Kafka messages using the same number of JVMs? ...

13 Loka 20221h 11min

Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates

Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates

Apache Kafka® 3.3 is released! With over two years of development, KIP-833 marks KRaft as production ready for new AK 3.3 clusters only. On behalf of the Kafka community, Danica Fine (Senior Developer...

3 Loka 20226min

Application Data Streaming with Apache Kafka and Swim

Application Data Streaming with Apache Kafka and Swim

How do you set data applications in motion by running stateful business logic on streaming data? Capturing key stream processing events and cumulative statistics that necessitate real-time data assess...

3 Loka 202239min

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