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Airflow Data Quality (Day 1 Lecture)

Airflow Data Quality (Day 2 Lecture)

Airflow Data Quality (Day 2 Lab)

Airflow Data Quality (Day 1 Lab)

Analytical Patterns (Day 2 Lab)

Analytical Patterns (Day 2 Lecture)

Advanced SQL and Applying Analytical patterns  (Day 1 Lab)

Advanced SQL and Applying Analytical patterns  (Day 1 Lecture)

Staff Engineer Career Progression

Scala Dataset vs Dataframe API [Dec 15, 2023]

Live SQL Training January 25th, Window Functions and Common Table Expressions

Live SQL Training January 15th

CareerFlow.ai Orientation

V4 Boot Camp Kick-Off

V3 Boot Camp Kick-Off

V3.2 Career Q&A with Sarah Floris [Dec 1, 2023]

V3.1 Career Q&A with Sarah Floris [Nov 17, 2023]

V2.5 Career Q&A with Sarah Floris [Aug 18, 2023]

V2.3 Career Q&A with Sarah Floris [Aug 4, 2023]

V3.3 Career Q&A with Sarah Floris [Dec 15, 2023]

V2.2 Career Q&A with Sarah Floris [July 28, 2023]

V3.5 Career Q&A with Sarah Floris [Dec 22, 2023]

V2.1 Career Q&A with Sarah Floris [July 21, 2023]

dbt (Day 1 Lab)

dbt (Day 1 Lecture)

dbt (Day 2 Lab)

dbt (Day 2 Lecture)

Data Communication and Impact (Day 1 Lecture)

Data Visualization with tableau (Day 2 Lecture)

Data Visualization with tableau (Day 2 Lab)

Data Communication and Impact (Day 1 Lab)

Data Pipelines Maintenance (Day 1 Lecture)

Data Pipelines Maintenance (Day 1 Lab)

Conceptual Data Modeling (Day 3 Lab)

Dimensional Data Modeling - Complex Data Types Arrays and Structs with Iceberg (Day 1 Lab) - Pre-recorded from V3

Dimensional Data Modeling - Slowly-changing Dimensions and Idempotent Queries in Iceberg (Day 2 Lecture) - Pre-recorded from V3

Conceptual Data Modeling (Day 3 Lecture)

Dimensional Data Modeling - Slowly-changing Dimensions and idempotent queries with Trino (Day 2 Lab) - Pre-recorded from V3

Dimensional Data Modeling - Complex Data Types Arrays and Structs with Iceberg (Day 1 Lecture) - Pre-recorded from V3

Fact Data Modeling - Core Concepts, Deduplication Techniques, and Retention Considerations with Iceberg (Day 1 Lab) - Pre-recorded from V3

Fact Data Modeling - Core Concepts, Deduplication Techniques, and Retention Considerations with Iceberg (Day 1 Lecture) - Pre-recorded from V3

Fact Data Modeling - Compact Tables for Efficient Data Representation with Iceberg (Day 2 Lab) - Pre-recorded from V3

Data Accessibility and Privacy (Day 4 Lecture)

Fact Data Modeling - Minimizing Shuffle and Reducing Facts with Iceberg (Day 3 Lecture) - Pre-recorded from V3

Fact Data Modeling - Practical Guide to Formatting and Aggregating Data with Iceberg (Day 3 Lab) - Pre-recorded from V3

Fact Data Modeling - Core Elements in Data Modeling with Iceberg (Day 2 Lecture) - Pre-recorded from V3

Data Accessibility and Privacy (Day 4 Lab)

V3.4 Chat with Zach [Dec 14, 2023]

V2.1 Chat with Zach [July 20, 2023]

V2.2 Chat with Zach [July 27, 2023]

V2.3 Chat with Zach [Aug 3, 2023]

V2.4 Chat with Zach [Aug 10, 2023]

V2.5 Chat with Zach [Aug 17, 2023]

V2.6 Chat with Zach [Aug 24, 2023]

V3.1 Chat with Zach [Nov 8, 2023]

V3.2 Chat with Zach [Nov 15, 2023]

V3.3 Chat with Zach [Nov 30, 2023]

V4.1 Chat with Zach

V4.2 Chat with Zach 

V4.3 Chat with Zach

V4.4 Chat with Zach

V4.5 Chat with Zach

The Data Modeling Interview

The SQL Interview

The Data Architecture Interview

The Behavioral Interview

The Data Structures and Algorithms Interview

LLM-Driven Data Engineering Day 1 Lab

LLM-Driven Data Engineering Day 2 Lecture

LLM-Driven Data Engineering Day 1 Lecture

LLM-Driven Data Engineering Day 2 Lab

Monetizing Part 3: Products & Funnels  by Zach Wilson


Your story matters and how to tell it by Stephanie Nuesi

How to write non-boring content by Carly Taylor


Monetizing Part 1: Brands & Coaching by Stephanie Nuesi


Monetizing Part 2: Sponsorship by Carly Taylor


Build community, not content by Zach Wilson


LLMs - Using LLMs to provide business value Day 1 Lab

LLMs - Vector database for RAG applications Day 2 Lecture

LLMs - Vector database for RAG applications Day 2 Lab

LLMs - Using LLMs to provide business value Day 1 Lecture

TA Office Hour 2 (V4)

TA Office Hour 6 (V4)

TA Office Hour 5 (V4)

Week 5: Spark Homework Discussion

Week 4: Kafka, Docker, Flink, and SQL Discussion

Week 3: Fact Modeling Homework Queries & Docker Setup

Week 2: Fact Modeling & Homework Queries

TA Office Hour 1 (V4)

Week 1: Data Modeling & Homework Submissions

TA Office Hour 4 (V4)

TA Office Hour 3 (V4)

Week 6: Homework Submission Discussion

Spark Fundamentals (Day 1 Lecture)

Spark Data Quality (Day 3 Lab)

Spark Data Quality (Day 3 Lecture)

Advanced Spark (Day 2 Lab)

Advanced Spark (Day 2 Lecture)

Spark Fundamentals Spark Lab on REST API consumption (Day 1 Lab)

V2 Special Guests, Sundar Velayutham and Aishwarya Srinivasan [August 9, 2023]

V2 Special Guests, Carly Taylor and Ben Rogojan [July 19, 2023]

V3.4 Special Guest, Joseph Machado [Dec 15,2023]

V3.5 Special Guest, Madison Schott [Recorded Dec 22, 2023]

V4 Tech Talk - Steve Huynh 

V4 Tech Talk - Parth Parekh

V4 Tech Talk - Stephanie Nuesi

V4 Tech Talk - Joe Reis

V4.5 Tech Talk - Carly Taylor

V4 Tech Talk

V2 Special Guests, Parth Parekh and Nick Singh [August 16, 2023]

V2 Special Guests, Jitender Aswani and Bill Inmon [August 23, 2023]

V3.1 Special Guest, Vin Vashishta [Nov 17, 2023]

V3.2 Special Guest, Ben Rogajan [Dec 1, 2023]

V3.3 Special Guest, Joe Reis [Recorded Dec 8, 2023]

V2 Special Guest, Alex Freberg [August 2, 2023]

V2 Special Guests, Stephanie Nuesi and Joe Reis [July 26, 2023]

Kafka Fundamentals, consumer APIs with Confluent (Day 1 Lab)

Processing data with Apache Flink  (Day 2 Lab)

Processing data with Apache Flink  (Day 2 Lecture)

Kafka Fundamentals, consumer APIs with Confluent (Day 1 Lecture)

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Bruno Souza de Lima

Julio Suriano

Thy Anh Bui

Scott DeGeest

Miguel Jimeno 

Mitali Gupta

Abhishek Anand

Lalit Sharma

Kalatheeswaran Thiru Meganathan

Vitali Malochka

DataExpert.io AcademyJoin the ultimate data engineering academy to take your career to the next level!Please review our academy policies before buying

All-Access DataExpert.io Subscription

DataExpert.io Academy
Join the ultimate data engineering academy to take your career to the next level!
Please review our academy policies before buying