Apache (page 1)
Tutorials for Apache Big Data technologies including Apache Spark, Apache Kafka, Apache Airflow, and more critical tools for data engineers.
Join and Aggregate PySpark DataFrames
Perform SQL-like joins and aggregations on your PySpark DataFrames.
Working with PySpark RDDs
Working with Spark's original data structure API: Resilient Distributed Datasets.
Manage Data Pipelines with Apache Airflow
Use Apache Airflow to build and monitor better data pipelines.
Structured Streaming in PySpark
Become familiar with building a structured stream in PySpark using the Databricks interface.
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.
Cleaning PySpark DataFrames
Easy DataFrame cleaning techniques ranging from dropping rows to selecting important data.
Transforming PySpark DataFrames
Apply transformations to PySpark DataFrames such as creating new columns, filtering rows, or modifying string & number values.
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.