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In den WarenkorbHardback. Zustand: New. 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.
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In den WarenkorbHardback. Zustand: New. 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.
Verlag: Manning Publications 1/28/2025, 2025
ISBN 10: 1633436853 ISBN 13: 9781633436855
Sprache: Englisch
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Verlag: Manning Publications Jan 2025, 2025
ISBN 10: 1633436853 ISBN 13: 9781633436855
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - For software developers and data analysts who have a working knowledge of data warehousing and the ETL process. Readers should know basic SQL and be able to configure cloud object stores on a cloud platform such as AWS, Azure, or GCP that Snowflake supports.
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Verlag: Manning Publications, New York, 2025
ISBN 10: 1633436853 ISBN 13: 9781633436855
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. 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. A practical introduction to data engineering on the powerful Snowflake cloud data platform. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Verlag: Manning Publications, New York, 2025
ISBN 10: 1633436853 ISBN 13: 9781633436855
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. 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. A practical introduction to data engineering on the powerful Snowflake cloud data platform. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Verlag: Manning Publications, New York, 2025
ISBN 10: 1633436853 ISBN 13: 9781633436855
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. 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. A practical introduction to data engineering on the powerful Snowflake cloud data platform. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.