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Master Kafka, Flink & Tableflow in 5 Days: Join the Data Streaming Grand Prix | Register Now
At the heart of Apache Kafka® sits the log—a simple data structure that uses sequential operations that work symbiotically with the underlying hardware. Efficient disk buffering and CPU cache usage, prefetch, zero-copy data transfers, and many other benefits arise from the log-centric design, leading to the high efficiency and throughput that it is known for. For those new to Kafka, the topic—and
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Should You Put Several Event Types in the Same Kafka Topic? If you adopt a streaming platform such as Apache Kafka, one of the most important questions to answer is: what topics are you going to use? In particular, if you have a bunch of different events that you want to publish to Kafka as messages, do you put them in the same topic, or do you split them across different topics? The most importan
At The New York Times we have a number of different systems that are used for producing content. We have several Content Management Systems, and we use third-party data and wire stories. Furthermore, given 161 years of journalism and 21 years of publishing content online, we have huge archives of content that still need to be available online, that need to be searchable, and that generally need to
Now that your data is in motion, it’s time to make sense of it. Stream processing enables you to derive instant insights from your data streams, but setting up the infrastructure to support it can be complex. That’s why Confluent developed ksqlDB, the database purpose-built for stream processing applications.
What does it even mean to query streaming data, and how does this compare to a SQL database? Well, it’s actually quite different to a SQL database. Most databases are used for doing on-demand lookups and modifications to stored data. KSQL doesn’t do lookups (yet), what it does do is continuous transformations— that is, stream processing. For example, imagine that I have a stream of clicks from use
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Let’s take an example. Consider a Facebook-like social networking app (albeit a completely hypothetical one) that updates the profiles database when a user updates their Facebook profile. There are several applications that need to be notified when a user updates their profile — the search application so the user’s profile can be reindexed to be searchable on the changed attribute; the newsfeed ap
How to build retrieval-augmented generation (RAG) for real-time Generative AI applications with a data streaming platform
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Apache Kafka, Samza, and the Unix Philosophy of Distributed Data One of the things I realised while doing research for my book is that contemporary software engineering still has a lot to learn from the 1970s. As we’re in such a fast-moving field, we often have a tendency of dismissing older ideas as irrelevant – and consequently, we end up having to learn the same lessons over and over again, the
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