Nuacht

Researchers have discovered a new malware attack campaign that exploits misconfigurations in Apache Hadoop and Flink, two technologies for processing big data sets and data streams. The attackers ...
Earlier this week, Apache Software Foundation unveiled its latest Top Level Project (TLP), Flink. Flink is just one of the many data processing tools that have emerged since the Java-based distributed ...
A new report released today by researchers at cloud-native security company Aqua Security Software Ltd. warns of a new attack targeting Apache Hadoop and Flink applications. The attack is described as ...
Code submitted this week for inclusion in the Hadoop stack will help speed the spread of the distributed big-data platform, according to Hortonworks co-founder Arun Murthy. The submission of the ...
Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...
GitHub

aipi-inc/flink-38

Apache Flink is an open source stream processing framework with powerful stream- and batch-processing capabilities. Unix-like environment (we use Linux, Mac OS X, Cygwin, WSL) Git Maven (we recommend ...
Chinese Internet giant Alibaba Group has acquired data Artisans, the German company behind the Apache Flink data processing framework. Alibaba is one of the biggest users of Flink, and plans to ...
The de facto standard for real-time stream processing is sometimes described as being complex and difficult to learn. Start by understanding these core principles. In recent years, Apache Flink has ...
Apache Flink is made for applications that continuously apply the same business logic to a series of inputs. That’s most business applications By Fabian Hueske and Stephan Ewen, committers and PMC ...
Apache Hadoop has been the driving force behind the growth of the big data industry. You'll hear it mentioned often, along with associated technologies such as Hive and Pig. But what does it do, and ...