Big Data (page 1)
Collect, process, and store data at a massive scale. Learn horizontally-scalable tools such as, Spark, BigQuery, Redshift, Hadoop etc.
Create Google BigQuery Tables via the Python SDK
Use Google Cloud's Python SDK to insert large datasets into Google BigQuery, enjoy the benefits of schema detection, and manipulating data programmatically.
Simplify BigQuery ETL jobs using SQLAlchemy
Extract and move data between BigQuery and relational databases using PyBigQuery: a connector for SQLAlchemy.
Learning Apache Spark with PySpark & Databricks
Get started with Apache Spark in part 1 of our series, where we leverage Databricks and PySpark.
From CSVs to Tables: Infer Data Types From Raw Spreadsheets
The quest to never explicitly set a table schema ever again.