{"product_id":"snowflake-data-engineering","title":"Snowflake Data Engineering","description":"\u003cp\u003e\u003cb\u003eA practical introduction to data engineering on the powerful Snowflake cloud data platform.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eData 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 \u003ci\u003eSnowflake Data Engineering\u003c\/i\u003e, Snowflake Data Superhero \u003cb\u003eMaja Ferle\u003c\/b\u003e shows you how to get started.\u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eSnowflake Data Engineering\u003c\/i\u003e you will learn how to:\u003c\/p\u003e\u003cp\u003e• Ingest data into Snowflake from both cloud and local file systems\u003cbr\u003e• Transform data using functions, stored procedures, and SQL\u003cbr\u003e• Orchestrate data pipelines with streams and tasks, and monitor their execution\u003cbr\u003e• Use Snowpark to run Python code in your pipelines\u003cbr\u003e• Deploy Snowflake objects and code using continuous integration principles\u003cbr\u003e• Optimize performance and costs when ingesting data into Snowflake\u003c\/p\u003e\u003cp\u003e\u003ci\u003eSnowflake Data Engineering\u003c\/i\u003e reveals 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. Throughout, author Maja Ferle shares design tips drawn from her years of experience to ensure your pipeline follows the best practices of software engineering, security, and data governance.\u003c\/p\u003e\u003cp\u003eForeword by Joe Reis.\u003c\/p\u003e\u003cp\u003ePurchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003ePipelines that ingest and transform raw data are the lifeblood of business analytics, and data engineers rely on Snowflake to help them deliver those pipelines efficiently. Snowflake is a full-service cloud-based platform that handles everything from near-infinite storage, fast elastic compute services, inbuilt AI\/ML capabilities like vector search, text-to-SQL, code generation, and more. This book gives you what you need to create effective data pipelines on the Snowflake platform.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eSnowflake Data Engineering\u003c\/i\u003e guides you skill-by-skill through accomplishing on-the-job data engineering tasks using Snowflake. You’ll start by building your first simple pipeline and then expand it by adding increasingly powerful features, including data governance and security, adding CI\/CD into your pipelines, and even augmenting data with generative AI. You’ll be amazed how far you can go in just a few short chapters!\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e• Ingest data from the cloud, APIs, or Snowflake Marketplace\u003cbr\u003e• Orchestrate data pipelines with streams and tasks\u003cbr\u003e• Optimize performance and cost\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eFor software developers and data analysts. Readers should know the basics of SQL and the Cloud.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMaja Ferle\u003c\/b\u003e is a Snowflake Subject Matter Expert and a Snowflake Data Superhero who holds the SnowPro Advanced Data Engineer and the SnowPro Advanced Data Analyst certifications.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003ePart 1\u003cbr\u003e1 Data engineering with Snowflake\u003cbr\u003e2 Creating your first data pipeline\u003cbr\u003ePart 2\u003cbr\u003e3 Best practices for data staging\u003cbr\u003e4 Transforming data\u003cbr\u003e5 Continuous data ingestion\u003cbr\u003e6 Executing code natively with Snowpark\u003cbr\u003e7 Augmenting data with outputs from large language models\u003cbr\u003e8 Optimizing query performance\u003cbr\u003e9 Controlling costs\u003cbr\u003e10 Data governance and access control\u003cbr\u003ePart 3\u003cbr\u003e11 Designing data pipelines\u003cbr\u003e12 Ingesting data incrementally\u003cbr\u003e13 Orchestrating data pipelines\u003cbr\u003e14 Testing for data integrity and completeness\u003cbr\u003e15 Data pipeline continuous integration\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the Author\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMaja Ferle\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEbook License\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEnd-User Warranty And License Agreement\u003c\/p\u003e\u003cp\u003e1. Grant Of License\u003c\/p\u003e\u003cp\u003eManning Has Authorized The Download By You Of An Unrestricted Number Of Copies Of The Electronic Book (Ebook) In Any Of The Available Formats. Manning Grants You A Nonexclusive, Nontransferable License To Use The Ebook According To The Terms And Conditions Herein. This License Agreement Permits You To Install The Ebook On Any And All Your Devices For Your Personal Use Only.\u003c\/p\u003e\u003cp\u003e2. Restrictions\u003c\/p\u003e\u003cp\u003eYou Shall Not: (1) Share, Resell, Rent, Assign, Timeshare, Distribute, Or Transfer All Or Part Of The Ebook Or Any Rights Granted Hereunder To Any Other Person; (2) Duplicate The Ebook, Except For A Single Backup Or Archival Copy; (3) Remove Any Proprietary Notices, Labels, Or Marks From The Ebook; (4) Transfer Or Sublicense Title To The Ebook To Any Other Party.\u003c\/p\u003e\u003cp\u003e3. Intellectual Property Protection\u003c\/p\u003e\u003cp\u003eThe Ebook Is Owned By Manning And Is Protected By United States And International Copyright And Other Intellectual Property Laws. Manning Reserves All Rights In The Ebook Not Expressly Granted Herein. This License And Your Right To Use The Ebook Terminate Automatically If You Violate Any Part Of This Agreement. In The Event Of Termination, You Must Remove The Original And Any Copies Of The Ebook From All Your Devices.\u003c\/p\u003e\u003cp\u003e4. 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