Snowflake Data Engineering

Maja Ferle

ISBN 10: 1633436853 / ISBN 13: 9781633436855

Verlag: Manning Publications, US, 2025

Beschreibung

A practical introduction to data engineering on the powerful Snowflake cloud data platform.Data engineers create the pipelines that ingest raw data, transform it, and funnel it to the analysts and professionals who need it. The Snowflake cloud data platform provides a suite of productivity-focused tools and features that simplify building and maintaining data pipelines. In Snowflake Data Engineering, Snowflake Data Superhero Maja Ferle shows you how to get started.In Snowflake Data Engineering you will learn how to: Ingest data into Snowflake from both cloud and local file systemsTransform data using functions, stored procedures, and SQLOrchestrate data pipelines with streams and tasks, and monitor their executionUse Snowpark to run Python, Java, and Scala code in your pipelinesDeploy Snowflake objects and code using continuous integration principlesOptimize performance and costs when ingesting data into Snowflake With this practical guide you'll build the skills you need to create effective data pipelines on the Snowflake platform. You'll see how Snowflake makes it easy to work with unstructured data, set up continuous ingestion with Snowpipe, and keep your data safe and secure with best-in-class data governance features. Along the way, you'll practice the most important data engineering tasks as you work through relevant hands-on examples.

Bestandsnummer des Verkäufers LU-9781633436855

Bibliografische Details

• Titel: Snowflake Data Engineering
• Verlag: Manning Publications, US
• Erscheinungsjahr: 2025
• Sprache: Englisch
• ISBN-10: 1633436853
• ISBN-13: 9781633436855
• Einband: Hardback
• Zustand: New
• Abmessungen: 7,38B x 0,9 H x 9,25 T Zoll Breite: 7,38 Zoll, Höhe: 0,9 Zoll, Tiefe: 9,25 Zoll
• Gewicht: 680 Gramm

Über diesen Titel

Inhaltsangabe

A practical introduction to data engineering on the powerful Snowflake cloud data platform.

Data engineers create the pipelines that ingest raw data, transform it, and funnel it to the analysts and professionals who need it. The Snowflake cloud data platform provides a suite of productivity-focused tools and features that simplify building and maintaining data pipelines. In Snowflake Data Engineering, Snowflake Data Superhero Maja Ferle shows you how to get started.

In Snowflake Data Engineering you will learn how to:

• Ingest data into Snowflake from both cloud and local file systems
• Transform data using functions, stored procedures, and SQL
• Orchestrate data pipelines with streams and tasks, and monitor their execution
• Use Snowpark to run Python, Java, and Scala code in your pipelines
• Deploy Snowflake objects and code using continuous integration principles
• Optimize performance and costs when ingesting data into Snowflake

With this practical guide you'll build the skills you need to create effective data pipelines on the Snowflake platform. You'll see how Snowflake makes it easy to work with unstructured data, set up continuous ingestion with Snowpipe, and keep your data safe and secure with best-in-class data governance features. Along the way, you'll practice the most important data engineering tasks as you work through relevant hands-on examples.

Über die Autorin bzw. den Autor

Maja Ferle is a seasoned data architect with more than 30 years of experience in data analytics, data warehousing, business intelligence, data engineering, data modeling, and database administration. She holds the SnowPro Advanced Data Engineer and the SnowPro Advanced Data Analyst certifications. She is also a Snowflake Subject Matter Expert and a Snowflake Data Superhero.