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Thanuja.Chirivella completed the lesson Spark RDDs 3 days, 22 hours ago
Lesson
Spark RDDs
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Thanuja.Chirivella completed the lesson Getting Started with Spark and PySpark 3 days, 22 hours ago
Lesson
Getting Started with Spark and PySpark
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Thanuja.Chirivella completed the topic References 3 days, 22 hours ago
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Thanuja.Chirivella completed the topic Example: Basic PySpark Program 3 days, 22 hours ago
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Thanuja.Chirivella completed the topic Driver Programs, SparkContext and Executors 3 days, 22 hours ago
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Thanuja.Chirivella completed the topic Installing Spark and PySpark 3 days, 23 hours ago
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Thanuja.Chirivella completed the topic References 3 days, 23 hours ago
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Thanuja.Chirivella completed the lesson Introducing Spark 3 days, 23 hours ago
Lesson
Introducing Spark
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Thanuja.Chirivella completed the topic Spark in the Industry 3 days, 23 hours ago
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Thanuja.Chirivella completed the topic Why Spark? 3 days, 23 hours ago
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Thanuja.Chirivella completed the lesson Pre-requisites 3 days, 23 hours ago
Lesson
Pre-requisites
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Allan.Paul started taking the course Python Programming: Level 01 1 week, 4 days ago
Course
Python Programming: Level 01
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue-language to connect existing components together.
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Rohith.KN completed the lesson Agile Model 1 week, 5 days ago
Lesson
Agile Model
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Rohith.KN completed the topic References 1 week, 5 days ago
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Rohith.KN completed the topic Assessing Scrum Team Performance 1 week, 5 days ago
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Rohith.KN completed the topic Scrum Events 1 week, 5 days ago
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Vishal.Krishnan completed the topic Importing Packages 1 week, 5 days ago
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Rohith.KN completed the topic Scrum Artifacts 1 week, 5 days ago
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Rohith.KN completed the topic Scrum Team 1 week, 5 days ago
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RamKrishna.Marndi started taking the course PySpark: Level 01 1 week, 6 days ago
Course
PySpark: Level 01
One of the most valuable technology skills is the ability to analyze huge data sets, and one of the best technology for this task is Apache Spark. Top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems. Spark is a tool for doing parallel computation with large datasets and it integrates well with Python. PySpark is the Python package that can make this happen. Apache Spark is a lightning-fast cluster computing designed for fast computation. It was built on top of Hadoop MapReduce and it extends the MapReduce model to efficiently use more types of computations which includes Interactive Queries and Stream Processing. This is a brief tutorial that explains the basics of Spark Core programming.This course has been designed to enhance your Spark skills. At the end of this course, you will be able to understand Spark DataFrames, DataFrame Operations and important concepts such as Partitioning of data.
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