This course will bridge the gap between your academic and real world knowledge and prepare you for an entry level Big Data Spark Scala developer role. You will learn the following
Spark Scala coding best practices
Logging – log4j, slf4
Exception Handling
Configuration using Typesafe config
Doing development work using IntelliJ, Maven
Using your local environment as a Hadoop Hive environment
Reading and writing to a Postgres database using Spark
Unit Testing Spark Scala using JUnit , ScalaTest, FlatSpec & Assertion
Building a data pipeline using Hadoop , Spark and Postgres
Bonus – Setting up Cloudera QuickStart VM on Google Cloud Platform (GCP)
Structured Streaming
Prerequisites :
Basic programming skills
Basic database knowledge
Big Data and Spark entry level knowledge
Instructor Details
Courses : 2
Specification: Spark Scala coding framework, testing, Structured streaming
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5 reviews for Spark Scala coding framework, testing, Structured streaming
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Price | $10.99 |
---|---|
Provider | |
Duration | 4.5 hours |
Year | 2021 |
Level | All |
Language | English |
Certificate | Yes |
Quizzes | No |
$19.99 $10.99
PANDU RANGA SWAMY TADAKA –
Working for his own, No Clear Explanation, Time Waste..
Sachin Gupta –
This course touches upon some of the key aspects of Spark Scala programming ..very useful
Rashmi Dutta –
Really nice! Very helpful for beginners who are getting started with Spark development. This course goes beyond the DataFrame / RDD and teaches you how to organize code and create a framework. Well Done!
Amos Bunde –
I wish you had done an advance on to supplement.
Russell Kemmit –
Best hands on Real World Spark Courses, I wish they were longer and more in depth.