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Data Engineering Academy Unlimited Upgrade
Introduction
Introduction (13:24)
Roadmaps for Analysts, Beginners and more...
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1 Cloud Projects
1.1 Build an End-to-End Data Platform on AWS
1.2 Build Streaming Data Pipelines on Azure
1.3 Build an End-to-End Data Platform on GCP
1.4 Build Azure Data Pipelines with Terraform
1.5 Build Advanced Pipelines with Kestra on GCP
2 Data Platform Projects
2.1 Build a Cloud Data Warehouse on Snowflake
2.2 Transform Your Snowflake Data with dbt
2.3 Build a Modern Lakehouse: Warehouses & Data Lakes
2.4 Build an Open Lakehouse with Apache Iceberg
2.5 Build a Real-Time Streaming Platform with Kafka, Spark & MongoDB
2.6 Build Declarative Spark Pipelines with Lakeflow on Databricks
2.7 Build Local-to-Cloud Data Workflows with DuckDB & MotherDuck
2.8 Build High-Performance Analytics with Exasol
3 AI Projects
3.1 Build a GenAI Platform with RAG
3.2 Build Semantic Log Search with Embeddings
3.3 Build & Deploy Containerized ML on AWS
3.4 Build Data Quality Monitoring with Databricks & Zapier
4 More Projects
4.1 Build a Dockerized ETL Pipeline with AWS, TDengine & Grafana
4.2 Build a Time Series Pipeline with InfluxDB & Grafana
4.3 Build a Log Analytics Dashboard with Elasticsearch
4.4 Build a Contact Tracing App with Elasticsearch
4.5 Build an End-to-End Data Platform on Hadoop
5 Tools & Skills
5.1 Computer Science Fundamentals
5.2 Introduction to Python
5.3 Python for Data Engineers
5.4 Data Preparation & Cleaning for Machine Learning
5.5 Docker Fundamentals
5.6 SQL for Data Engineers
5.7 The Hidden Foundation of GenAI
5.8 API Design with FastAPI
5.9 Apache Airflow Workflow Orchestration
5.10 Apache Spark Fundamentals
5.11 Data Engineering on Databricks
5.12 Apache Kakfa
5.13 MongoDB Fundamentals
6 Design
6.1 Platform & Pipeline Design I & II
6.2 Platform & Pipeline Security
6.3 Choosing Data Stores
6.4 Data Modeling 1
6.5 Data Modeling 2: Relational Data Modeling
6.6 Data Modeling 3: Dimensional Data Modeling
7 Career
7.1 Introduction to Data Engineering
7.2 Becoming a Better Data Engineer
7.3 Successful Job Application Guide
8 Bootcamps & Tracks
8.1 Roadmap for Beginners
8.2 Roadmap for Data Analysts
8.3 Roadmap for Data Scientists
8.5 Apache Spark & Kafka Bootcamp
8.6 AI Engineering Track
9 Certifications
9.1 Associate Data Engineer Certification
4.2 Build a Time Series Pipeline with InfluxDB & Grafana
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