{"product_id":"snowflake-data-engineering-9781633436855","title":"Snowflake Data Engineering","description":"\u003cb\u003eA practical introduction to data engineering on the powerful Snowflake cloud data platform.\u003c\/b\u003e \u003cp\u003e\u003c\/p\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. \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eSnowflake Data Engineering\u003c\/i\u003e you will learn how to: \u003cp\u003e\u003c\/p\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 \u003cp\u003e\u003c\/p\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. \u003cp\u003e\u003c\/p\u003e Foreword by Joe Reis. \u003cp\u003e\u003c\/p\u003ePurchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Pipelines 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. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\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! \u003cp\u003e\u003c\/p\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e \u003cp\u003e\u003c\/p\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 \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For software developers and data analysts. Readers should know the basics of SQL and the Cloud. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\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. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Part 1\u003cbr\u003e 1 Data engineering with Snowflake\u003cbr\u003e 2 Creating your first data pipeline\u003cbr\u003e Part 2\u003cbr\u003e 3 Best practices for data staging\u003cbr\u003e 4 Transforming data\u003cbr\u003e 5 Continuous data ingestion\u003cbr\u003e 6 Executing code natively with Snowpark\u003cbr\u003e 7 Augmenting data with outputs from large language models\u003cbr\u003e 8 Optimizing query performance\u003cbr\u003e 9 Controlling costs\u003cbr\u003e 10 Data governance and access control\u003cbr\u003e Part 3\u003cbr\u003e 11 Designing data pipelines\u003cbr\u003e 12 Ingesting data incrementally\u003cbr\u003e 13 Orchestrating data pipelines\u003cbr\u003e 14 Testing for data integrity and completeness\u003cbr\u003e 15 Data pipeline continuous integration\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eMaja Ferle\u003c\/strong\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\u003cbr\u003e","brand":"Manning Publications","offers":[{"title":"Default Title","offer_id":51474828362002,"sku":"9781633436855","price":55.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_8e96d396-f4b1-44a6-b7ef-f8b918b1adcf.jpg?v=1752580571","url":"https:\/\/surprise-castle.myshopify.com\/products\/snowflake-data-engineering-9781633436855","provider":"Surprise Castle","version":"1.0","type":"link"}