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Overview
Apache Spark In-Depth (Spark with Scala) What you'll learn: Apache Spark from scratch to in-depth, starting from simple word count program to Batch Processing to Spark Structure Streaming, Performance Tuning, Optimization, Application Development and Deployment. Completing this course will also make you ready for most interview questions Includes Optional Project and path to success Learn Apache Spark From Scratch To In-Depth From the instructor of successful Data Engineering courses on "Big Data Hadoop and Spark with Scala" and "Scala Programming...
Syllabus
- Introduction to Data Engineering Career Path
- Day 1 - Introduction to Spark
- Day 2 - Introduction to Spark
- Day 3 - Spark Installation on Linux VM
- Day 4 - RDD Day 1
- Day 5 - RDD Day 2
- Day 6 - RDD Day 3
- Day 7 - RDD Day 4
- Day 8 - RDD Day 5
- Day 9 - Dataframe Day 1
- Day 10 - Dataframe Day 2
- Day 11 - Dataframe Day 3
- Day 12 - Dataframe Day 4
- Day 13 - Dataframe Day 5
- Day 14 - Dataframes Day 6
- Day 15 - Dataframes - Spark SQL
- Day 16 - Datasets
- Day 17 - Spark Application Development and Deployment
- Day 18 - Spark Application Development and Deployment
- Day 19 - Performance Tuning and Optimization
- Day 20 - Common Errors and Debugging
- Day 21 - Spark Streaming D 1
- Day 22 - Spark Streaming D 2
- Day 23 - Spark Streaming D 3
- Day 24 - Project
- Day 25 - What Next, Job Assistance and How to Prepare for Interview
- Career Guidance
Instructor
Harish Masand
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