Apache Flink provides many ways to tweak its execution. Here I’ll show four different ways to improve the performance of your Flink applications.
Apache Flink is taking the world of Big Data by storm. Learn how to start develop complex stream processing algorithms using it.
Apache Flink is the next big thing in Big Data and has excellent support for both batch and stream processing. Learn how to start develop batch processing algorithms using it.
If you look at this image with a list of Big Data tools it may seem that all possible niches in this field are already occupied. With so much competition it should be very tough to come up with a groundbreaking technology. Apache Flink creators have a different thought about this. It started as a […]
Graphs processing is an important part of data analysis in many domains. But graphs processing is tricky may be tricky since general purpose distributed computing tools are not suited for graphs processing. It is not surprising that an important advancement in the area of distributed graphs processing came from Google that has to process one […]
Graphs are everywhere. Internet, maps, and social networks to name just a few are all examples of massive graphs that contains vast amounts of useful information. Since the size of these networks is growing and processing them become more and more ubiquitous, we need better tools to do the job. In this article, I’ll describe […]
Apache Flink has a versatile set of connectors for externals data sources. It can read and write data from databases, local and distributed file systems. However, sometimes what Flink provides is not enough, and we need to read some uncommon data format. In this article, I will show you how to implement a custom connector […]
JDK 8 has introduced a lot of long-anticipated features to Java language. Among those, the most notable was the introduction of lambda functions. They allowed adding new frameworks such as Java 8 Streams, as well as, new features to existing frameworks like JUnit 5. Apache Flink also supports lambda functions, and in this post, I’ll […]
In this post, I would like to show how to implement a simple batch processing algorithm using Apache Flink. In the process, I’ll show few tricks that you can use to improve the performance of your Flink applications.
In this article, I would like to introduce Apache Flink, describe what its main features are, and why is it different from other available solutions. I’ll end the article with an example of a simple stream processing application using Flink.