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Pipeline Data Engineering Academy

Berlin, Online

Pipeline Data Engineering Academy

Avg Rating: ( 0 reviews )

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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      • Data Engineering

        Apply
        Start Date None scheduled
        CostN/A
        Class sizeN/A
        LocationBerlin
        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
        DepositN/A
        Getting in
        Minimum Skill LevelIdeal 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 WorkThose with no experience can complete a 2-week prep work to prepare for the bootcamp.
        Placement TestNo
        InterviewNo
      • Data Engineering (Online)

        Apply
        Start Date None scheduled
        CostN/A
        Class sizeN/A
        LocationOnline
        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
        DepositN/A
        Getting in
        Minimum Skill LevelIdeal 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 WorkThose with no experience can complete a 2-week prep work to prepare for the bootcamp.
        Placement TestNo
        InterviewNo
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