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PySpark Structured Streaming (Using Python) :   Professional Training with Hands On Sessions  :
  • In total 22+ Modules and 8+ Hrs 
  • Hands On Exercises
  • Core concepts and fundamentals are covered
  • Each Video with Hand Written PDFs and cover important concepts
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         To process the real-time or near real-time data, there are lots of engine/solutions are available. And each of them has some issues like they don’t support late data processing, they are highly complex to setup, complex programming API etc. Yes, writing streaming solution either framework provider has to take a pain and make it easy for developer/user. Or developer has to take a pain to implement correctly. In case of Spark, the previous solution was Dstream, Spark team had provided a framework which work on RDD, for writing streaming solution. And in this case developer/user has to take pain and implement complex solution. However, Spark team realizes it and they decided to write entire streaming solution from scratch. And the outcome of this is Structured Streaming, which has simple API and performance optimization taken care by the SparkSQL engine.

It seems Structured Streaming is simple to learn, but answer is no. You need to know, many concepts as well as real hands on exercises. How the streaming works. Yes, API is quite simple but until you do the hands on, you would not realize. Why things are not working or they are working in the background or not. Is this generating result for what you have written the program or not. There are so many things. Hence, HadoopExam.com bring this new training course which cover important concepts from basic to advanced, and provide many hands on exercise to learn fast growing Spark Structured Streaming solution. Same way easy learning process… check the syllabus below.

 
Please subscribe this training now... If you are looking annual subscription for all the trainings and books available with the HadoopExam.com then visit this page (Annual Subscription). We have more 50000 subscriber across all our product which proves the quality of the material. This training is most usful for following professional
  • Developer
  • Data Engineer
  • Data Analytics
  • Data Scientists 
In this training we are focusing on both fundamental concepts as well as Hands on Exercises. We start with the concepts, and than set up the environment using Ubuntu Linux (On Window’s VMWare), same instructions you can follow for Mac OS as well. Once we created the environment we will be covering many Hands On Exercises, which will make you expert for the PySpark Structured Streaming. As of now total training length is 8+ Hours. You can watch the below demo sessions as well to check the quality of the training. As you know, Spark 2.x certification also released by Databricks and they have separate certification material for the Python professional.

Below is the best combo for this certification (
Pack3TRNDBSparkPython)

1. Apache PySpark (Python) Professional Training (Core Saprk and Fundamentals)
2. PySpark(Python) Structured Streaming  Professional Training with HandsOn
3.  Databricks Certified Developer Apache Spark 2.x for Python (Cert No : PR000005)

PySpark : HandsOn Professional Training +PySpark Structured Streaming+ Databricks PySpark 2.x (Python Spark) Certification Exam   

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Syllabus Covered as Part of This training (Become an Spark Structured Streaming Expert in around 8+ hours training)  : 10 Hands On Exercises Covering all the concepts


Module-1: Spark Streaming in Depth Part-1    ( PDF Download & Available Length 26 Minutes)
  • Real/Near real time data processin
  • Streaming Sources and Sinks
  • Streaming Concepts
  • Stock Visualization Example (How Streaming Helpful)

Module-2: Apache Spark Introduction DataFrame  ( PDF Download & Available Length 21 Minutes)
  • DataFrame
  • DataFrame v/s Dataset
  • Sample API for DataFrame
  • Language Independent Catalyst Optimizer

Module-3: Introduction Apache Spark Catalyst optimizer PDF Download & Available Length 38 Minutes)
  • What is Catalyst optimizer
  • Concepts of Tree and Rules
  • Various Phases of Catalyst optimizer
  • Analysis
  • Logical optimization
  • Physical planning
  • Code Generation
  • Predicate Pushdown
  • Constant Folding
  • Physical operator
  • Project Prunning

Module-4 : Introduction of Structured Streaming PDF Download & Available Length 38 Minutes)
  • Purpose : How it differs from other Streaming Solutions
  • Anatomy of Structured Streaming Application
  • Source
  • Input Table
  • Transformation
  • Result Table
  • Sink
  • Catalyst Optimization of Streaming Application

Module-5 : Programming concepts of Structured Streaming PDF Download & Available Length 11 Minutes)
  • Programming and Basic Concepts of Structured Streaming
  • Discussion with Pseudo Code
  • Some important points

Module-6 : Structured Streaming is different and less painful PDF Download & Available Length 19 Minutes)
  • Event Time v/s Processing Time
  • Understanding of Late Processing
  • Exactly once processing
  • Re-playable sources and Idempotent sink

Module-7: Structured Streaming Essentials PDF Download & Available Length 16 Minutes)
  • Common Issues with Legacy DStream solution
  • Essentials for Structured Streaming
  • Introduction to Triggers
  • Introduction to Watermarks
  • Revisit the concepts Learned
  • Assumptions for Structured Streaming

Module-8A : Install VMWARE Workstation Player   PDF Download & Available Length 8 Minutes) : Env Setup for Hands On
Module-8B : Install Ubuntu Linux in VMWare Player PDF Download & Available Length 23 Minutes: Env Setup for Hands On
  • Install Ubuntu Image
  • Install SSH server
  • Install Putty and connect to Linux OS
Module-8C : Install Apache Spark PDF Download & Available Length 17 Minutes: Env Setup for Hands On
  • Install Apache Spark
  • Start spark-shell
  • Start pyspark

Module-9 : Update Spark Installed version PDF Download & Available Length 8 Minutes) : : Env Setup for Hands On
  • Install latest version of Spark

Module-10 : Sample Streaming Exercise PDF Download & Available Length 9 Minutes) : Hands On (1-Exercise)

Module-11 : Sample Streaming Exercise PDF Download & Available Length 20 Minutes) : Hands On (3-Exercises)
  • Reading from a Directory and Display on the console
  • Reading from a Directory and use SQL query operations
  • Aggregation query

Module-12: Late Event and Watermark PDF Download & Available Length 30 Minutes)
  • Late Data and Watermarks
  • Common operations on Streaming Data
  • Understanding of Window Operations
  • Window and Group By Operations
Module-13: Output Modes PDF Download & Available Length 25 Minutes)
  • Append Mode
  • Append Mode and Watermarks
    Append Mode and Aggregations
    Append Modes Guaranteed Data Processing
  • Complete Mode
  • Complete Modes and Triggers
    Complete Mode + Watermark + Aggregations
  • Update Modes
  • Update Mode and Watermark
Module-14: Process JSON data & Output as a Parquet file PDF Download & Available Length 21 Minutes) : Hands On :  (1-Exercise)

Module-15: Watermark and Output modes Hands on Exercise  PDF Download & Available Length 59 Minutes) : Hands On (1-Big Exercise, covering 5 concepts)

Module-16: Window and multi-key aggregations Hands On Exercise PDF Download & Available Length 20 Minutes) : Hands On (1-Exercise)

Module-17: Processing JSON Data  PDF Download & Available Length 30 Minutes) : Hands On (1-Big Exercise, covering 2 concepts)
  • Json Data processing
  • File Triggers
  • Memory sink
  • Stream status
  • Static Data Join with Stream

Module-18: Inner and Outer Joins  PDF Download & Available Length 33 Minutes)
  • Stream-static joins
  • Stream-Stream join challenges
  • Inner Join
  • Inner Join and watermark
  • Outer Join and Watermark
  • Outer Join Important points

Module-19: Inner and Outer Joins  PDF Download & Available Length 20 MinutesHands On (1-Big Exercise, covering 2 concepts)
  • Stream-static joins
  • Stream-Stream join challenges
  • Inner Join
  • Inner Join and watermark
  • Outer Join and Watermark
  • Outer Join Important points

Module-20: Drop Duplicate data PDF Download & Available Length 11 Minutes)
  • Remove duplicate data (unbounded)
  • Remove duplicate data (bounded)

Module-21: Drop Duplicate data PDF Download & Available Length 11 Minutes Hands On :  (1-Exercise)
  • Remove duplicate data (unbounded)
  • Remove duplicate data (bounded)

Module-22: Structured Streaming: Multiple Streams ( PDF Download & Available Length 11 Minutes 
  • Global Watermark
  • Foreach and Foreachbatch
  • Triggers
  • One Time Batch (Cost saving optimization)
  • Monitoring operations on Structured Streaming

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