SignUpApache Spark and Scala
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Updated On 02 Feb, 19
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Other,
Updated On 02 Feb, 19
Introduction to Apache Spark & Scala - Introduction to Big Data & Spark - What is Scala | Introduction to Scala - What is Scala REPL - Scala REPL Explained - Apache Spark Ecosystem - What is Spark - Spark Installation - What is Scala | Overview of Scala Programming - Hadoop Map Reduce Vs. Apache Spark & Scala - Why Scala ? - Scala Functional Programming - Introduction to Scala - Spark Functional Features - Variable Types of Scala - What is Batch processing and real-time Processing - Traits and Oops in Scala - Understanding RDD | Analyze Scala RDD - Beyond Hadoop Mapreduce : Spark + Hadoop - Understanding Apache Spark in Depth - PySpark: Python API for Spark - Invoke Spark Shell & Pyspark - Spark for Big Data - Big Data Processing with Spark - Big Data Processing using Spark & Scala - Webinar
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In batch processing, a large group of transactions is collected, entered, and processed over a period of time (for example, overnight) in a single program run.
By contrast, real-time processing is usually interactive, typically involves minimal response time, and ensures that information remains up-to-the-minute.
To get more insight into the Batch and Real-Time Processing , watch this video.
Related Blogs
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httpwww.edureka.coblog5-reasons-to-learn-apache-spark?utm_source=youtube&utm_medium=referra&utm_campaign=spark-batch-realtime
httpwww.edureka.coblogspark-functional-features?utm_source=youtube&utm_medium=referra&utm_campaign=spark-batch-realtime
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Sam
Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
Dembe
March 29, 2019
Great course. Thank you very much.
