ETL Pipelines

Create pipelines to extract, transform, and load data. Use Big Data tools like Apache Spark and Kafka to build horizontally scalable ETL pipelines.

Simplify BigQuery ETL jobs using SQLAlchemy

Simplify BigQuery ETL jobs using SQLAlchemy

Extract and move data between BigQuery and relational databases using PyBigQuery: a connector for SQLAlchemy.

Todd Birchard
Todd Birchard
Data Warehouses
Manage Data Pipelines with Apache Airflow

Manage Data Pipelines with Apache Airflow

Use Apache Airflow to build and monitor better data pipelines.

Todd Birchard
Todd Birchard
Apache
Becoming Familiar with Apache Kafka and Message Queues

Becoming Familiar with Apache Kafka and Message Queues

Getting to know Apache Kafka: a horizontally scalable event streaming platform. Learn what makes Kafka critical to high-volume low-latency data pipelines.

Todd Birchard
Todd Birchard
Apache
Learning Apache Spark with PySpark & Databricks

Learning Apache Spark with PySpark & Databricks

Get started with Apache Spark in part 1 of our series, where we leverage Databricks and PySpark.

Todd Birchard
Todd Birchard
Spark
Building an ETL Pipeline: From JIRA's REST API to SQL

Building an ETL Pipeline: From JIRA's REST API to SQL

Build a pipeline which extracts raw data from the JIRA's Cloud API, transforms it, and loads the data into a SQL database.

Todd Birchard
Todd Birchard
Data Engineering