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Business Business Analytics & Intelligence PySpark

Big Data with Apache Spark PySpark: Hands on PySpark, Python

Learn to analyse batch, streaming data with Data Frame of Apache Spark Python and PySpark
Rating: 3.9 out of 53.9 (82 ratings)
3,656 students
Created by Ankit Mistry
Last updated 11/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Basic overview of Spark technology
  • End to end Installation of Apache spark in Windows machine
  • End to end Installation of Apache spark in Linux machine
  • Setup Apache Spark Cluster on Microsoft azure HDInsight
  • Learn Spark SQL
  • Learn Spark DataFrame API
  • Spark Structured Streaming

Requirements

  • Experience with Programming

Description

Welcome to the  Apache Spark : PySpark Course.

Have you ever thought about How big company like Google, Microsoft, Facebook, Apple or Amazon Process Petabytes of data on thousands of machine.

This course starting point to learn about in memory big data analysis tool Apache Spark.

==============================================

What previous students have said: 

"Very good introduction. Ideal for beginners to obtain a big picture as a starting point. The course should be further developed and supplemented with further practical examples. But overall I would highly recommend."     

"I like the pace at which the instructor is going. I like the fact that he quickly dives into the practical. For me, this helps to put subsequent learning into perspective. He tends to have quite a few typos, but I can overlook those and still give him a 5 star rating. I am still quite early in the. Hope to update my review as I go along."

"Great course, knowledgeable author."

"Curso excelente para quem deseja aprender sobre Big Data e Spache Spark com PySpark."

==================================================

Apache Spark can perform up to 100x faster than Hadoop MapReduce Data processing framework, Which makes apache spark one of most demanded skills. 

The top companies like Google, Facebook, Microsoft, Amazon, Airbnb  using Apache Spark to solve their big data problems!. Data analysis, on huge amount of data is one of the most valuable skills now a days and This course  will teach such kind of skills to complete in big data job market.

This course will teach  

  • Introduction to big data and Apache spark

  • Getting started with databricks

  • Detailed installation step on ubuntu - linux machine

  • Python Refresh for newbie

  • Apache spark Dataframe API

  • Apache spark structured streaming with end to end example

  • Basics of Machine Learning and feature engineering with Apache spark.

This course is not complete, will be adding new content related to Spark ML.

Note : This course will teach only Spark 2.0 Dataframe based API only not RDD based API. As Dataframe based API is the future of spark.

Regards

Ankit Mistry




Who this course is for:

  • Anyone who wants to learn advance big data skill
  • Anyone who knows Hadoop and wants to move ahead in faster data processing
  • Anyone wants to make career as data Engineer, Data analyst, Machine Learning Engineer
  • Interested in learning Apache spark and pyspark for big data analysis
  • Anyone wants learn cutting edge technology in Data processing

Featured review

Udhayan E
Udhayan E
2 courses
1 review
Rating: 5.0 out of 511 months ago
Good course for Beginners in Pyspark. Good knowledge on the basics. Installation is well taught ! i say this beacause i got stuck in pyspark installation for 3 weeks like 2 months ago and now i can install them within minutes Good to learn about the ETL part :)

Course content

12 sections • 63 lectures • 6h 31m total length

  • Preview01:04
  • Course FAQ
    00:22
  • Preview10:18
  • Preview03:32
  • Time Line of Big data and Hadoop based Eco-Systems
    04:37
  • What is Apache Spark
    07:03
  • Spark API Overview
    03:55

  • Getting started with Data bricks - For eager Sparker
    11:38

  • Introduction
    01:34
  • Installation Part - 1 and 2
    10:36
  • Download and install anaconda
    05:50
  • Installation Part - 3 and 4
    09:43
  • Installation Instruction Windows
    00:34

  • Different Ways of Installation
    03:48
  • Cloud Digital Ocean Setup - Installation -1
    08:01
  • Python3 and Jupyter notebook Installation -2
    06:23
  • Install Java, Scala, Py4j, Spark - Installation -3
    07:01
  • Set Path variable and start Jupyter notebook - Installation -4
    06:27
  • Installation Instruction Ubuntu
    00:59

  • Different cloud Provider
    04:12
  • Setup Spark cluster on Microsoft Azure HDinsight
    11:55

  • Spark Timeline
    05:15
  • RDD - Resilient distributed database
    02:53
  • Transformation and Action
    00:01

  • Introduction
    02:38
  • Spark Session
    03:03
  • Spark-submit
    05:47
  • Import JSON data into Dataframe
    04:52
  • Define Custom schemaType
    04:09
  • Data frame as SQL Table
    02:15
  • Data frame Operation - 1
    03:48
  • Data frame Operation - 2
    08:50
  • Filter data
    03:03
  • Handling Missing data
    06:11
  • Dealing with datetime in Dataframe
    04:41

  • Introduction
    02:03
  • What is Machine Learning
    03:24
  • Traditional system of computing vs Machine Learning way of computing
    04:31
  • Machine learning system design
    04:41
  • Types of Machine Learning
    05:01
  • Spark ML API overview
    04:51

  • Introduction
    06:53
  • TF - IDF importance of term in document
    04:52
  • TF-IDF code along
    10:12
  • Stop Word remover and MinMax Scaler
    08:37
  • More Feature engineering Technique
    15:14
  • More topics
    00:01

  • Introduction to Structured Streaming
    06:56
  • Streaming example
    11:52

Instructor

Ankit Mistry
Software Developer | I want to Improve your life & Income.
Ankit Mistry
  • 4.2 Instructor Rating
  • 2,006 Reviews
  • 45,121 Students
  • 15 Courses

I am Ankit Mistry, completed my master from IIT Kharagpur in area of machine learning, Artificial intelligence.Now working as Software Developer, Big Data Engineer in one of leading private investment bank with 8+ years of experience in software industry. 
Over the time I developed interest related to data discipline and  learned about data analysis, machine learning model development.

Created course in area of Python, Data Science, Data analysis, Machine Learning.

I am so excited to be on Udemy online learning platform and want to make big impact on your software career.

I hope you will like my course offering.

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