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Learn data ingestion, data transformation, and data management techniques using Apache Spark and Delta Lake.
| 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 |
| Assembled product weight | 1.65 lb (750 grams) |
| Bisac subject heading | Computers |
Ideal for users looking to gain practical skills in data engineering using Databricks and Apache Spark.
Great for developers needing to integrate data solutions with AI, enhancing their workflow with Databricks.
Useful for analysts wanting to deepen their understanding of data processing and analytics in scalable environments.
Not suitable for those with no programming background, as prior knowledge is crucial for understanding the content.
Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Del, (Paperback)
Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Del is a pivotal resource for anyone looking to enhance their skills in data science and engineering. This non-fiction paperback, with a comprehensive 438 pages, offers practical guidance tailored for aspiring data engineers. Published by Packt Publishing in May 2024, it delves into the intricacies of using Apache Spark and Databricks, presenting real-world solutions and actionable insights. Readers have noted the book's clarity and depth, making complex topics more accessible to learners. For those keen on mastering data solutions, this cookbook stands out as an essential tool.
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