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Apache Spark Hands on Specialization for Big Data Analytics, In-depth course to master Apache Spark Development using Scala for Big Data (with 30+ real-world & hands-on examples)
Created by Irfan Elahi
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What Will I Learn?
- Understand the relationship between Apache Spark and Hadoop Ecosystem
- Understand Apache Spark use-cases and advanced characteristics
- Understand Apache Spark Architecture and how it works
- Understand how Apache Spark on YARN (Hadoop) works in multiple modes
- Understand development life-cycle of Apache Spark Applications in Python and Scala
- Learn the foundations of Scala programming language
- Understand Apache Spark's primary data abstraction (RDDs)
- Understand and use RDDs advanced characteristics (e.g. partitioning)
- Learn nuances in loading files in Hadoop Distributed File system in Apache Spark
- Learn implications of delimiters in text files and its processing in Spark
- Create and use RDDs by parallelizing Scala's collection objects and implications
- Learn the usage of Spark and YARN Web UI to gain in-depth operational insights
- Understand Spark's Direct Acyclic Graph (DAG) based execution model and implications
- Learn Transformations and their lazy execution semantics
- Learn Map transformation and master its applications in real-world challenges
- Learn Filter transformation and master its usage in real-world challenges
- Learn Apache Spark's advanced Transformations and Actions
- Learn and use RDDs of different JVM objects including collections and understanding critical nuances
- Learn and use Apache Spark for statistical analysis
- Learn and master Key Value Pair RDDs and their applications in complex Big Data problems
- Learn and master Join Operations on complex Key Value Pair RDDs in Apache Spark
- Learn how RDDs caching works and use it for advanced performance optimization
- Learn how to use Apache Spark for Data Ranking problems
- Learn how to use Apache Spark for handling and processing structured and unstructured data
- Learn how to use Apache Spark for advanced Business Analytics
- Learn how to use Apache Spark for advanced data integrity and quality checks
- Learn how to use Scala's advanced features like functional programming and pattern matching
- Learn how to use Apache Spark for logs processing
Requirements
- Background knowledge of Big Data would be helpful but not necessary as everything will be taught from scratch
- Past experience of programming language would be helpful but not necessary as everything will be taught from scratch
- A computer system (Laptop/Desktop) with either Windows, Linux or Mac installed for hands-on practice
- All the software and tools used are freely available
- The most important requirement: Thirst and commitment to learn!
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