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Posts about Python

Building Data Lakes in AWS with S3, Lambda, Glue, and Athena from Weather Data

In this aricle I cover creating rudimentary Data Lake on AWS S3 filled with historical Weather Data consumed from a REST API. The S3 Data Lake is populated using traditional serverless technologies like AWS Lambda, DynamoDB, and EventBridge rules along with several modern AWS Glue features such as Crawlers, ETL PySpark Jobs, and Triggers.

Introduction to Redshift using Pagila Sample Dataset Including ETL from Postgres using AWS Glue

In this article I give a practical introductory tutorial to using Amazon Redshift as an OLAP Data Warehouse solution for the popular Pagila Movie Rental dataset. I start with a basic overview of the unique architecture Redshift uses to accomplish its scalable and robust use case as an enterprise cloud data warehouse. Then armed with this basic knowledge of Redshift architecture I move on to give a practical example of designing a schema optimal for Redshift based off the Pagila sample dataset.

Example Driven High Level Overview of Spark with Python

In this article I give a high level, example driven, overview of writing data processing programs using the Python programming language bindings for Spark which is commonly known as PySpark. I specifically cover the Spark SQL DataFrame API which I've found to be the most useful way to write data analytics code with PySpark. The target audience for this article are Python developers, ideally who have a cursory understanding of other popular PyData Stack libraries such as Pandas and Numpy.

Intro to Machine Learning with Spammy Emails, Python and, SciKit Learn

Machine Learning is capturing significant attention among technologists and innovators due to a desire to shift from descriptive analytics focused on understanding what happened in the past towards predicting what is likely to occur in the future as well as prescribe actions to take in response to that prediction. In this article I focus on the use case of classifying email messages as either spam or ham with supervised machine learning using Python and SciKit Learn.