GitHub

vivek-bombatkar/Spark-with-Python---My-learning-notes-

Learning is a continuous process. Though I am using Spark from quite a long time now, I never noted down my practice exercise. With this repo, I am documenting it! ***How Apache Spark builds a DAG and ...
GitHub

datitran/spark-tdd-example

This is a very basic example of how to use Test Driven Development (TDD) in the context of PySpark, Spark's Python API. cd /usr/local/Cellar/apache-spark/2.1.0 ...
theregister

Google fuses SQL, Python, and Spark in Colab Enterprise push

Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and Apache Spark in one place. Readers might note that other prominent vendors in ...
archive

Spark for Python developers : a concise guide to implementing Spark big data analytics for Python developers and building a real-time and insightful trend tracker data ...

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VentureBeat

Databricks open-sources declarative ETL framework powering 90% faster pipeline builds

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...