Apache Beam Master-scalable data processing tool.

Example

Apache Beam Master provides a variety of custom transformations that can be directly applied to data pipelines. For instance, there are functions for cleaning data such as removing null values, filtering specific columns, or standardizing data formats.

Scenario

A retail company wants to clean their customer data before performing analysis. They use Apache Beam Master’s data cleaning transformations to filter out incomplete records and standardize phone number formats across different data sources.

Example

The service includes modules for data enrichment, which allow users to add additional information to their datasets. This might include functions for geocoding addresses, adding demographic data, or enhancing product data with third-party information.

Scenario

A logistics company is building a pipeline to process delivery requests. They use Apache Beam Master’s enrichment functions to append geolocation coordinates to addresses, which helps in optimizing delivery routes.

Example

Apache Beam Master supports integration with various cloud services like Google BigQuery, Google Cloud Storage, and others. It provides built-in functions to read from and write to these services seamlessly.

Scenario

A media streaming service wants to analyze user behavior data stored in Google Cloud Storage and output the results to BigQuery for reporting. They utilize Apache Beam Master to easily set up the pipeline that reads JSON logs from Cloud Storage, processes them, and writes the aggregated results to BigQuery.