I have already written quite a few posts about Apache Kafka. It's an awesome tool for parallel and asynchronous processing. You can have multiple producers and multiple consumers listening to a topic...
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In the previous post, we tried to understand the basics of Apache's Kafka Streams. In this post, we'll build on that knowledge and see how Kafka Streams can be used both as streams and tables. ...
Read More In the age of big data and data science, stream processing is very significant. So it's not at all surprising that every major organisation has at least one stream processing service. Apache has a fe...
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If you are in the big data or data science or BI space, you might have heard about Apache Spark. A few of you might have also heard about Apache Drill, and a tiny bit of you might have actually worke...
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In the previous post, we figured out how to connect MongoDB with Apache Drill and query data with SQL queries. In this post, let's extend that knowledge and see how we can use similar SQL queries to ...
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Not a lot of people have heard of Apache Drill. That is because Drill caters to very specific use cases, it's very niche. But when used, it can make significant differences to the way you interact wi...
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There will be times when you’ll need the data in your HBase database to be brought into Apache Spark for processing. Usually, you’ll query the database, get the data in whatever format you fancy, and...
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In most real world applications, we have a RESTful API service facing various client applications and a collection of backend services which process the data coming from those clients. Depending ...
Read MoreOriginally published here: https://medium.com/@contactsunny/simple-apache-kafka-producer-and-consumer-using-spring-boot-41be672f4e2b Before I even start talking about Apache Kafka here, l...
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