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