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Big Bag Data

Chess.com Analytics

Trading Strategy for Crypto Currency - Analytics Engineering Capstone Submission

BetFlow - Real Time Sports Betting App

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Our students have gone on to work at companies like Meta, Airbnb and Amazon. As well as achieve 100% raises!

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In this bonus LLM lab, you will learn how to extend your LLMs capabilities beyond text generation. This includes tasks like sending emails, crafting LinkedIn posts, and exploring the role of agents in aiding you in your technical work such as when bugs arise in your pipeline or database.

LLM-Driven Data Engineering Day 2 Lab

academy/2/course/66/large-language-models-day-2-lab-transcript.json

In this lecture, we talk about one big table vs relational vs dimensional data modeling and their tradeoffs!

Dimensional Data Modeling Complex Data Type and Cumulation Day 1 Lecture

academy/5/course/658/dimensional-data-modeling-lecture-day-1-yt-transcript.json

In this video will be building a cumulative table design (https://github.com/EcZachly/cumulative-table-design) with complex data types STRUCT and ARRAY. 
We will take the table player_seasons and create a new table called players that holds onto an historical record of all NBA players and the seasons that they played! 

Dimensional Data Modeling Complex Data Type and Cumulation Day 1 Lab

academy/5/course/659/dimensional_data_modeling_day_1_lab/dimensional_data_modeling_day_1_lab.json

In this video we build an slowly changing dimension type 2 model on top of the players table we built in the first lab! 

Dimensional Data Modeling: Building Slowly Changing Dimensions Day 2 Lab

academy/5/course/661/dimensional-data-modeling-day-2-lab-yt-transcript.json

In this lab, we build a network of NBA players and see who they play against/with the most and for which teams!

Postgres

Data Engineer Interview Skills

LLM-Driven Data Engineering Day 2 Lab

DataExpert

Dimensional Data Modeling Complex Data Type and Cumulation Day 1 Lecture

Dimensional Data Modeling Complex Data Type and Cumulation Day 1 Lab

Dimensional Data Modeling: Building Slowly Changing Dimensions Day 2 Lab

Dimensional Data Modeling: Graph Data Modeling Day 3 Lab

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