About
About
Pipeline Data Engineering Academy offers a 12-week, full-time immersive data engineering bootcamp either in-person in Berlin, Germany or online. In-person classes take place on campus Monday through Thursday, and on Fridays students can learn from home.
Bootcamp students will learn logs, databases, 3rd party APIs, scraping, Google Analytics, ad-blocking, AWS, GCP, Azure, Python, and OS tools, such as Snowflake, SQS, Kinesis, PubSub, and Kafka. Students will also learn DAG, Airflow, Dbt, Dagster, Mara, Night-shift, and SaaSolutions. Data Engineering students will learn PostgreSQL, RedShift, Presto, and Clickhouse. Bootcamp students will learn principles of data warehousing and computation, such as dimension conformance, consolidation, indexing, distribution, partitioning, precomputation, and query blueprints. The curriculum covers VMs, Kubernetes, GitHub, NoSQL, Flask, and Shiny.
The Pipeline Data Engineering Academy bootcamp is ideal for those who are currently working as Data Analysts, Software Engineers, Data Scientists, and Product Managers. However, any interested applicants are welcome to apply. Those with no experience can complete a 2-week prep work to prepare for the bootcamp.
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Courses
Courses
Data Engineering
ApplyStart Date None scheduled Cost N/A Class size N/A Location Berlin Bootcamp students will learn logs, databases, 3rd party APIs, scraping, Google Analytics, ad-blocking, AWS, GCP, Azure, Python, and OS tools, such as Snowflake, SQS, Kinesis, PubSub, and Kafka. Students will also learn DAG, Airflow, Dbt, Dagster, Mara, Night-shift, and SaaSolutions. Data Engineering students will learn PostgreSQL, RedShift, Presto, and Clickhouse. Bootcamp students will learn principles of data warehousing and computation, such as dimension conformance, consolidation, indexing, distribution, partitioning, precomputation, and query blueprints. The curriculum covers VMs, Kubernetes, GitHub, NoSQL, Flask, and Shiny.Financing
Deposit N/A Getting in
Minimum Skill Level Ideal for those who are currently working as Data Analysts, Software Engineers, Data Scientists, and Product Managers. However, any interested applicants are welcome to apply. Prep Work Those with no experience can complete a 2-week prep work to prepare for the bootcamp. Placement Test No Interview No
Data Engineering (Online)
ApplyStart Date None scheduled Cost N/A Class size N/A Location Online Bootcamp students will learn logs, databases, 3rd party APIs, scraping, Google Analytics, ad-blocking, AWS, GCP, Azure, Python, and OS tools, such as Snowflake, SQS, Kinesis, PubSub, and Kafka. Students will also learn DAG, Airflow, Dbt, Dagster, Mara, Night-shift, and SaaSolutions. Data Engineering students will learn PostgreSQL, RedShift, Presto, and Clickhouse. Bootcamp students will learn principles of data warehousing and computation, such as dimension conformance, consolidation, indexing, distribution, partitioning, precomputation, and query blueprints. The curriculum covers VMs, Kubernetes, GitHub, NoSQL, Flask, and Shiny.Financing
Deposit N/A Getting in
Minimum Skill Level Ideal for those who are currently working as Data Analysts, Software Engineers, Data Scientists, and Product Managers. However, any interested applicants are welcome to apply. Prep Work Those with no experience can complete a 2-week prep work to prepare for the bootcamp. Placement Test No Interview No
