Apache Spark with Scala useful for Databricks Certification
Apache Spark with Scala Crash Course useful for Databricks Certification Unofficial for beginners
4.18 (59 reviews)
15,256
students
5.5 hours
content
Nov 2024
last update
$59.99
regular price
What you will learn
Apache Spark ( Spark Core, Spark SQL, Spark RDD and Spark DataFrame)
Databricks Certification syllabus included in the Course
An overview of the architecture of Apache Spark.
Work with Apache Spark's primary abstraction, resilient distributed datasets(RDDs) to process and analyze large data sets.
Develop Apache Spark 3.0 applications using RDD transformations and actions and Spark SQL.
Analyze structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding about Spark SQL.
Spark Core Fundamentals: Understand the foundations of resilient distributed datasets (RDDs), transformations, and actions to build scalable data pipelines.
Spark SQL Mastery: Write SQL queries on massive datasets and seamlessly integrate structured and semi-structured data for analytics.
Performance Optimization: Learn advanced techniques to optimize Spark jobs for faster execution and cost efficiency.
Real-World Applications: Gain experience by working on projects like ETL workflows, real-time analytics, and data transformations.
Related Topics
2617302
udemy ID
10/21/2019
course created date
10/19/2020
course indexed date
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