DataOps Tech Stack – No Code Introduction to ELT and SQL, Leverage AWS, Airbyte, ElephantSQL, and Metabase for the ELT of CSV into Postgres than explore data with SQL.
Course Description
This course is a skills based approach to teaching Data Engineering. Through these courses, the student will be introduced to progressively more complex concepts and exercises commonly encountered by Data Engineers.
Lectures series will cover:
- Creating AWS Instances
- Intro to Unix Command line
- Installing Docker Images
- Loading CSV into Postgres using Airbyte
- Introduction to SQL in Metabase
The approach is built around:
- Hands-on demos leveraging Medium Articles
- Video walk-through of the Medium Articles
- Background demos to be equipped to tackle demos
- How to use Docker, EC2, SSH Keys, …
- Leverage data to build the Demo
- ELT data sources
- Transform the data using SQL
- Demonstrate your knowledge building a Data Project
Background on the Instructor:
Tom has been creating innovative products around HTTP-based distributed client architectures for 20+ years. Recent experience involves AdTech and MarTech including Incentivized Mobile Apps, Real-Time Programmatic Bidding, and Customer Data Platforms. Currently focused on tooling to simplify operation and management of large scale customer data platform projects. My experience is the teams, processes, and tooling to iteratively solve complex Service problems.
Currently, enjoying the challenges of creating tooling which combines end to end customer success insight, principles of DataOps, and managing product through continuous improvement. Proud to lead a team of Full Stack developers, Data Engineers, and UI Engineers constructing tooling using React UI, Java service layer, and Azure data stack. Problem space includes Analytics, Anomaly Detection with Statistical and ML, Data Lineage, and Streaming data (Pipelines, HTTP,…).
Osvaldo Valedez was my daughter’s Python instructor who expressed interest in DataOps as a career. He most recently graduated from University of California Berkeley and is getting started in his software career. We are working together to explore the different Data Engineering products on the market and assembled these tutorials to help others on the same journey.
As with any new material, coaching and training can help overcome challenges. Tutoring is available for 1:1 help
