Pinned Repositories
aiur
First test Repository
amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
analytics-readings
Readings for Analytics Engineers
aws-glue-libs
AWS Glue Libraries are additions and enhancements to Spark for ETL operations.
Blog-Posts
Code for my Blog Posts
dask-dataframe-benchmarking
A Jupyter Notebook I made to try out dask's Dataframes
data-pipeline-samples
This repository hosts sample pipelines
Implementing-ETL
jarlainnix's Repositories
jarlainnix/Implementing-ETL
jarlainnix/aiur
First test Repository
jarlainnix/amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
jarlainnix/analytics-readings
Readings for Analytics Engineers
jarlainnix/aws-glue-libs
AWS Glue Libraries are additions and enhancements to Spark for ETL operations.
jarlainnix/Blog-Posts
Code for my Blog Posts
jarlainnix/dask-dataframe-benchmarking
A Jupyter Notebook I made to try out dask's Dataframes
jarlainnix/data-pipeline-samples
This repository hosts sample pipelines
jarlainnix/datasciencecoursera
data science toolbox test repository COURSE project
jarlainnix/datasharing
The Leek group guide to data sharing
jarlainnix/dbt
dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
jarlainnix/dbt-utils
Utility functions for dbt projects.
jarlainnix/dbt_fundamentals
jarlainnix/deel-home-assignment
Deel analytics engineering home assignment
jarlainnix/madr
Markdown Architectural Decision Records
jarlainnix/mrr-playbook
jarlainnix/og-aws
📙 Amazon Web Services — a practical guide
jarlainnix/pcc
Resources for Python Crash Course, from No Starch Press.
jarlainnix/python_api_samples
Python examples of how to use the Looker API
jarlainnix/RealPython-tricks
RealPython tricks collection
jarlainnix/redshift-dimensional-modeling
dim_account
jarlainnix/sql-style-guide
An opinionated guide for writing clean, maintainable SQL.