patterns-devkit VS workshop-realtime-data-pipelines

Compare patterns-devkit vs workshop-realtime-data-pipelines and see what are their differences.

workshop-realtime-data-pipelines

You will inspect and run a sample architecture making use of Apache Pulsarâ„¢ and Pulsar Functions for real-time, event-streaming-based data ingestion, cleaning and processing. (by datastaxdevs)
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patterns-devkit workshop-realtime-data-pipelines
5 1
106 3
0.0% -
2.9 2.3
about 1 year ago 9 months ago
Python Python
BSD 3-clause "New" or "Revised" License -
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patterns-devkit

Posts with mentions or reviews of patterns-devkit. We have used some of these posts to build our list of alternatives and similar projects.

workshop-realtime-data-pipelines

Posts with mentions or reviews of workshop-realtime-data-pipelines. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing patterns-devkit and workshop-realtime-data-pipelines you can also consider the following projects:

pyspark-example-project - Implementing best practices for PySpark ETL jobs and applications.

Dataplane - Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.

numWorkshop - A python wrapper for the numworks workshop.

pipebird - Pipebird is open source infrastructure for securely sharing data with customers.

prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.

SmartPipeline - A framework for rapid development of robust data pipelines following a simple design pattern

Spooq

hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.

AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).