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HomeAuthor's Article(s) Adam Kawa
While a lot of problems can be solved in batch, the stream-processing approach can give you even more benefits. In this blog post series we’ll discuss a real-world example of user session analytics to give you a use-case driven overview of business and technical problems that modern stream processing technologies like Apache Flink help you [...]

Dec 17, 2016

Adam Kawa

Blog

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As the Big Data Tech Warsaw 2017 conference is getting closer, we’d like to highlight the most interesting topics that will be covered during this exciting event. This year the event will contain +25 technical talks given in four parallel tracks.

Nov 08, 2016

Adam Kawa

Blog

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Schema evolution of a Hive table backed by Avro file format allows you to modify the table schema in several “schema-compatible” ways without the need of rewriting all existing data. Thanks to that, your HiveQL queries can read old and new Avro files uniformly using the current table schema. In this blog post I briefly […]

In this blog post we share motivation, current status and challenges for our new project, called AirHadoop. AirHadoop follows the sharing economy model and it aims to allow companies to use idle Hadoop clusters that belong to somebody else to temporarily gain more computing power and storage. Shared economy A sharing economy is an economic […]

The LinkedIn Engineering blog is a great resource of technical blog posts related to building and using large-scale data pipelines with Kafka and its “ecosystem” of tools. In this post I provide several pictures and diagrams (including quotes) that summarise how data pipeline has evolved at LinkedIn over the years. The actual content is based […]

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