Tools For Data Transformation
Download Tools For Data Transformation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Tools For Data Transformation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
The Transformation of Data
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-07-27
In today's data-driven world, businesses and organizations need to be able to effectively manage and transform their data to gain valuable insights and make better decisions. The Transformation of Data provides a comprehensive overview of data transformation, covering its key concepts, techniques, and tools. This book is written for anyone who works with data, including data analysts, data scientists, business intelligence professionals, and anyone else who wants to learn more about how to transform data into actionable insights. The book is divided into ten chapters, each covering a different aspect of data transformation, including: * Data transformation overview and its importance * Data quality and data transformation * Data integration and data transformation * Data warehousing and data transformation * Big data and data transformation * Data mining and data transformation * Machine learning and data transformation * Data security and data transformation * Data privacy and data transformation * The future of data transformation Each chapter is packed with practical advice, real-world examples, and case studies to help readers understand the concepts and apply them in their own work. By understanding the principles and techniques of data transformation, readers can unlock the full potential of their data and make better decisions for their business. Whether you are new to data transformation or an experienced professional, The Transformation of Data will provide you with the knowledge and skills you need to succeed. This book is your essential guide to transforming data into actionable insights. With its comprehensive coverage of data transformation topics, clear explanations, and practical examples, The Transformation of Data is the definitive guide for anyone who wants to learn more about this critical aspect of data management. If you like this book, write a review!
Snowflake Data Engineering
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 code in your pipelines • Deploy Snowflake objects and code using continuous integration principles • Optimize performance and costs when ingesting data into Snowflake Snowflake Data Engineering 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. Foreword by Joe Reis. About the technology 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. About the book Snowflake Data Engineering 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! What's inside • Ingest data from the cloud, APIs, or Snowflake Marketplace • Orchestrate data pipelines with streams and tasks • Optimize performance and cost About the reader For software developers and data analysts. Readers should know the basics of SQL and the Cloud. About the author Maja Ferle 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. Table of Contents Part 1 1 Data engineering with Snowflake 2 Creating your first data pipeline Part 2 3 Best practices for data staging 4 Transforming data 5 Continuous data ingestion 6 Executing code natively with Snowpark 7 Augmenting data with outputs from large language models 8 Optimizing query performance 9 Controlling costs 10 Data governance and access control Part 3 11 Designing data pipelines 12 Ingesting data incrementally 13 Orchestrating data pipelines 14 Testing for data integrity and completeness 15 Data pipeline continuous integration