Getting started with Apache Beam for distributed data processing

• beam

  30 7,535 10.0 Java

  Apache Beam is a unified programming model for Batch and Streaming data processing.

  

The bit-shift operator is overridden by defining __rrshift__ for PTransform to allow naming it. In the "Split" transform, each line is split into words. This collection of collections is flattened to a collection with beam.FlatMap. The "PairWithOne" transform maps every word to a tuple (x, 1). The first item is the key and the second item is the value. The key-value pairs are then fed to the "GroupAndSum" transform, where all values are summed up by key. This is parallelized word count!

• learn-apache-beam

  1 0 0.0 Python

The code for the example can be found in the wordcount/ folder of this repository. To get started, move to the folder and install the requirements with

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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