Shah Databricks Certified Associate Developer for Apache Spark Using Python

The ultimate guide to getting certified in Apache Spark using practical examples with Python
1. Auflage 2024
ISBN: 978-1-80461-620-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 274 Seiten

Spark 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.

Autoren/Hrsg.

Shah, Saba

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein EDV: Zertifizierung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse

Inhaltsverzeichnis

Table of Contents - Overview of Certification Guide and Exam
- Understanding Apache Spark and Its Applications
- Spark Architecture & Transformations
- Spark Datarames and its Operations
- Advanced Operations in Spark
- SQL Queries in Spark
- Structured Streaming in Spark
- Machine Learning with Spark ML
- Mock Test

Über Autor(innen)

Shah Saba :

Saba Shah is a Data and AI Architect and Evangelist with a wide technical breadth and deep understanding of big data and machine learning technologies. She has experience leading data science and data engineering teams in Fortune 500s as well as startups. She started her career as a software engineer but soon transitioned to big data. She is currently a solutions architect at Databricks and works with enterprises building their data strategy and helping them create a vision for the future with machine learning and predictive analytics. Saba graduated with a degree in Computer Science and later earned an MS degree in Advanced Web Technologies. She is passionate about all things data and cricket. She currently resides in RTP, NC.