First project with Apache Flink (a framework for distributed stream and batch data processing)
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Updated
Jan 11, 2023 - Java
First project with Apache Flink (a framework for distributed stream and batch data processing)
BigData analysis using IBM InfoSphere and Hadoop eco system, including MapReduce, Spark and Pig
An implementation of Apache Flink's TypeSerializer for JSON objects
Transceiver Framework: A framework for concurrent multi stage processing of data & MDP: An online motif detector and predictor embedded in the transceiver framework.
Sprouter: Dynamic Graph Processing over Data Streams at Scale
File archiver based on GZIP algorithm
Common stream abstraction and in-memory implementation for streaming data
assembler for nand2tetris (part 1) final project
Twitter bot
Apache Beam Katas exercises 🚀 https://beam.apache.org/blog/beam-kata-release/
💾 A collection of Apache Spark and Apache Flink scripts used to get familiar with the processing of big data.
A demo scene for Real-time Data Processing with ksqlDB, Kafka, and Kafka Connect
A Windows Forms .NET Framework application that implementing OOP concepts and managing data by using Stream Class (text files)
Document my Apache Flink learning experience
Fundamental functions on simple streams to practice RxJS and Stream Operations.
Kapacitor TICKscripts for using on streams coming from netdata monitoring systems
Materials for the DevCraft workshop on stream processing
Use stream operations to express sophisticated data processing queries.
Crane is a distributed, fault-tolerant, stream processing system, like Apache Storm
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