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101168012
Databricks Certified Associate Developer for Apache Spark Using Python: The ultimate guide to getting certified in Apache Spark using practical
78% of respondents would recommend this to a friend
Nº de artículo:
101168012
DOP 3148
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This book is your exhaustive guide to achieving the Databricks Certified Associate Developer for Apache Spark certification on your first attempt.
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What Stands Out
Comprehensive Guide
This guide covers everything needed for certification, providing in-depth knowledge and practical examples that demonstrate real-life applications of Apache Spark with Python.
Hands-On Approach
Utilizes practical examples throughout the material, enhancing understanding and retention of complex Spark concepts, making it ideal for both beginners and experienced developers.
Certification Focused
Specifically tailored for the Databricks Certified Associate Developer exam, ensuring all essential topics and skills are thoroughly addressed for successful certification attainment.
Detalles de producto
- Learn the concepts and exercises needed to confidently prepare for the Databricks Associate Developer for Apache Spark 3.0 exam and validate your Spark skills with an industry-recognized credentialKey FeaturesUnderstand the fundamentals of Apache Spark to design robust and fast Spark applicationsExplore various data manipulation components for each phase of your data engineering projectPrepare for the certification exam with sample questions and mock examsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSpark has become a de facto standard for big data processing. Migrating data processing to Spark saves resources, streamlines your business focus, and modernizes workloads, creating new business opportunities through Spark’s advanced capabilities. Written by a senior solutions architect at Databricks, with experience in leading data science and data engineering teams in Fortune 500s as well as startups, this book is your exhaustive guide to achieving the Databricks Certified Associate Developer for Apache Spark certification on your first attempt.You’ll explore the core components of Apache Spark, its architecture, and its optimization, while familiarizing yourself with the Spark DataFrame API and its components needed for data manipulation. You’ll also find out what Spark streaming is and why it’s important for modern data stacks, before learning about machine learning in Spark and its different use cases. What’s more, you’ll discover sample questions at the end of each section along with two mock exams to help you prepare for the certification exam.By the end of this book, you’ll know what to expect in the exam and gain enough understanding of Spark and its tools to pass the exam. You’ll also be able to apply this knowledge in a real-world setting and take your skillset to the next level.What you will learnCreate and manipulate SQL queries in Apache SparkBuild complex Spark functions using Spark's user-defined functions (UDFs)Architect big data apps with Spark fundamentals for optimal designApply techniques to manipulate and optimize big data applicationsDevelop real-time or near-real-time applications using Spark StreamingWork with Apache Spark for machine learning applicationsWho this book is forThis book is for data professionals such as data engineers, data analysts, BI developers, and data scientists looking for a comprehensive resource to achieve Databricks Certified Associate Developer certification, as well as for individuals who want to venture into the world of big data and data engineering. Although working knowledge of Python is required, no prior knowledge of Spark is necessary. Additionally, experience with Pyspark will be beneficial.Table of ContentsOverview of Certification Guide and ExamUnderstanding Apache Spark and Its ApplicationsSpark Architecture & TransformationsSpark Datarames and its OperationsAdvanced Operations in SparkSQL Queries in SparkStructured Streaming in SparkMachine Learning with Spark MLMock Test
| Publisher | Packt Publishing |
| Publication date | June 14, 2024 |
| Language | English |
| Print length | 274 pages |
| ISBN-10 | 1804619787 |
| ISBN-13 | 978-1804619780 |
| Item Weight | 1.05 pounds (480 grams) |
| Dimensions | 7.5 x 0.62 x 9.25 inches (19.1 x 1.6 x 23.5 cm) |
Who Should Buy?
-
Aspiring Data Engineers
Ideal for those looking to develop foundational skills in Apache Spark and its integration with Python.
-
Certification Seekers
Helps users who aim to pass the Databricks certification exam with practical examples and guidance.
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Python Developers
Beneficial for Python developers wanting to enhance their data processing skills using Apache Spark.
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Beginner Programmers
Not suitable for individuals with no programming background or understanding of Python concepts.
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Data Processing Editorial Review
**** The “Databricks Certified Associate Developer for Apache Spark Using Python” is an essential resource for anyone looking to achieve certification and establish a solid foundation in Apache Spark. Spanning 274 pages, this guide is structured to not only facilitate exam preparation but also to foster a comprehensive understanding of key concepts pertinent to various audiences—including data analysts, ML engineers, and citizen data scientists. Readers have praised the book for its lucid explanations, which make complex topics accessible to a broad range of users. The engaging narrative emphasizes practical, hands-on learning through simple examples that effectively cement understanding. Specifically, the "Type of Questions" section proves invaluable, equipping learners with both the knowledge necessary for their certification and the skills to thrive in their careers within the Apache Spark ecosystem. The author’s summarization of decades of software development life cycle (SDLC) coding patterns into a concise format allows readers to grasp core Spark features quickly. Moreover, specialized sections covering advanced operations and machine learning model building are praised as "treasure troves" for developers looking to delve deeply into the subject matter. The inclusion of a significant amount of learning materials, coding exercises, and mock exams is particularly beneficial, making it easy for novices to feel confident in their ability to pass the certification exam. Targeted inclusivity for SQL users, Excel aficionados, BI users, and business analysts marks this guide as a bridge between technical implementations and business needs. Overall, readers express overwhelming satisfaction, endorsing this book as a must-have for anyone aspiring to become a Databricks Associate Developer and emphasize its role in aiding them to gain certification. **
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ventajas
- Clear and accessible explanations of Apache Spark concepts.
- Practical hands-on examples enhance schema understanding.
- Comprehensive coverage of exam preparation material.
- Valuable insights for both novices and experienced users across different roles.
- Engaging content keeps readers focused and motivated for success.
Contras
- May require readers to have some foundational knowledge in coding to fully benefit from the content.
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características y beneficios
- Ultimate guide for Databricks Certified Associate Developer certification.
- Covers practical examples using Python for hands-on learning.
- Includes sample questions and two mock exams for exam preparation.
- Explores core components and architecture of Apache Spark.
- Ideal for data professionals seeking to enhance skills in big data.
- No prior Spark knowledge required; working knowledge of Python is essential.
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