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The objective of this guide is to demonstrate how to automate the deployment of a data pipeline on AWS using Terraform. The pipeline will utilize AWS services such as Lambda, Glue, Crawler, Redshif…
Data Engineering with AWS Cookbook, published by Packt
Code snippets for Data Engineering Design Patterns book
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A reference architecture for building an ETL/ELT pipeline with Apache Airflow® and Snowflake.
Snowflake Cortex Analyst Demo in < 10 mins
Crack LeetCode, not only how, but also why.
This dbt package captures metadata, artifacts, and test results so you can detect anomalies, monitor data quality, and build metadata tables. It powers Elementary OSS and feeds the wider context la…
A tutorial for the Great Expectations library.
Testes de Qualidade em Dados com Great Expectation e Spark
Example using Great Expectations to Validate Data in a scikit-learn Pipeline
This example shows how to connect to an Oracle database (RDS or on-prem) from AWS Lambda using python.
A Database Change Management tool for Snowflake
Source Code Collection and Supplemental Material for the O'Reilly Snowflake Definitive Guide 1st Edition book
End to End Pipeline using AWS Services such as s3, boto3, lambda, ECR, step functions, Dynamodb, Step Functions, etc
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Python project template for Snowpark development
Common financial risk and performance metrics. Used by zipline and pyfolio.
Backtesting an algorithmic trading strategy using Machine Learning and Sentiment Analysis.
Performance analysis of predictive (alpha) stock factors
Snippets and templates representing common Customer Success patterns
Terraform provider for managing Snowflake accounts