Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Del, Paperback
BTN 4730
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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
Product Details
| 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.
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AI Solution Developers
Great for developers needing to integrate data solutions with AI, enhancing their workflow with Databricks.
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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
Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Del, Paperback
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.
Pulkit Chadha All Books Editorial Review
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BTN 4730
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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.
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.