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Item #:
160171314
Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Del, (Paperback)
Item #:
160171314
AZN 86
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Learn data ingestion, data transformation, and data management techniques using Apache Spark and Delta Lake.
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What Stands Out
Comprehensive Cookbook
This cookbook offers insight into practical applications, providing step-by-step methods for leveraging Apache Spark and Databricks, making it ideal for both beginners and seasoned data engineers.
Focused on AI Solutions
Addresses modern AI challenges, blending data engineering and machine learning seamlessly, allowing users to master the integration of data workflows to build robust AI solutions effectively.
Real-World Scenarios
Equipped with example-driven content, it empowers readers to apply concepts directly to everyday challenges, enhancing learning and practical implementation for real data engineering tasks.
Product Details
- Work through 70 recipes for implementing reliable data pipelines with Apache Spark, optimally store and process structured and unstructured data in Delta Lake, and use Databricks to orchestrate and govern your dataKey Features: - Learn data ingestion, data transformation, and data management techniques using Apache Spark and Delta Lake- Gain practical guidance on using Delta Lake tables and orchestrating data pipelines- Implement reliable DataOps and DevOps practices, and enforce data governance policies on Databricks- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Written by a Senior Solutions Architect at Databricks, Data Engineering with Databricks Cookbook will show you how to effectively use Apache Spark, Delta Lake, and Databricks for data engineering, starting with comprehensive introduction to data ingestion and loading with Apache Spark.What makes this book unique is its recipe-based approach, which will help you put your knowledge to use straight away and tackle common problems. You'll be introduced to various data manipulation and data transformation solutions that can be applied to data, find out how to manage and optimize Delta tables, and get to grips with ingesting and processing streaming data. The book will also show you how to improve the performance problems of Apache Spark apps and Delta Lake. Advanced recipes later in the book will teach you how to use Databricks to implement DataOps and DevOps practices, as well as how to orchestrate and schedule data pipelines using Databricks Workflows. You'll also go through the full process of setup and configuration of the Unity Catalog for data governance.By the end of this book, you'll be well-versed in building reliable and scalable data pipelines using modern data engineering technologies.What You Will Learn: - Perform data loading, ingestion, and processing with Apache Spark- Discover data transformation techniques and custom user-defined functions (UDFs) in Apache Spark- Manage and optimize Delta tables with Apache Spark and Delta Lake APIs- Use Spark Structured Streaming for real-time data processing- Optimize Apache Spark application and Delta table query performance- Implement DataOps and DevOps practices on Databricks- Orchestrate data pipelines with Delta Live Tables and Databricks Workflows- Implement data governance policies with Unity CatalogWho this book is for: This book is for data engineers, data scientists, and data practitioners who want to learn how to build efficient and scalable data pipelines using Apache Spark, Delta Lake, and Databricks. To get the most out of this book, you should have basic knowledge of data architecture, SQL, and Python programming.Table of Contents- Data Ingestion and Data Extraction with Apache Spark- Data Transformation and Data Manipulation with Apache Spark
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | May, 2024 |
| Pages | 438 |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | Packt Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Engineering |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 9.25 in (23.5 cm) |
| Assembled product weight | 1.65 lb (750 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Aspiring Data Engineers
Ideal for users looking to gain practical skills in data engineering using Databricks and Apache Spark.
-
AI Solution Developers
Great for developers needing to integrate data solutions with AI, enhancing their workflow with Databricks.
-
Data Analysts
Useful for analysts wanting to deepen their understanding of data processing and analytics in scalable environments.
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Beginner Programmers
Not suitable for those with no programming background, as prior knowledge is crucial for understanding the content.
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Business Executives
Lacks the strategic business-focused content that executives may require for decision-making regarding data projects.
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Casual Users
Not ideal for users seeking light reading; the content is technical and geared towards serious learners.
Product Description
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Customer Questions & Answers
-
Question:
Who is this book intended for?
Answer: It's designed for data engineers, data scientists, and practitioners seeking to build scalable data pipelines. -
Question:
What technologies does this book cover?
Answer: The book focuses on Apache Spark, Delta Lake, and Databricks for modern data engineering. -
Question:
What is a unique feature of this book?
Answer: It has a recipe-based approach that enables immediate application of learned techniques to common problems.
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AZN 86
Order now and get it around Saturday, July 04
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Only 99 items left in stock.
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
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Features & Benefits
- Utilize 70 practical recipes for data engineering with Apache Spark and Databricks.
- Master data ingestion, transformation, and management techniques effectively.
- Implement reliable DataOps and DevOps practices for enhanced data governance.
- Optimize and manage Delta tables using best practices and APIs.
- Streamline data processing with real-time data ingestion and transformation.
- Includes a free PDF eBook with the purchase of the print or Kindle book.