Big Data Hadoop and Spark with Scala

Complete course (No Prerequisites) - Big Data Hadoop with Spark and Eco system

4.53 (987 reviews)
Udemy
platform
English
language
IT Certification
category
instructor
38,848
students
45 hours
content
Nov 2023
last update
$59.99
regular price

What you will learn

You will learn about Hadoop, eco system, tools and spark

Big Data Hadoop Development

Description

This course will make you ready to switch career on big data hadoop and spark.

After this watching this, you will understand about Hadoop, HDFS, YARN, Map reduce, python, pig, hive, oozie, sqoop, flume, HBase, No SQL, Spark, Spark sql, Spark Streaming.


This is the one stop course. so dont worry and just get started. 

You will get all possible support from my side.

For any queries, feel free to message me here.


Note: All programs and materials are provided.


About Hadoop Ecosystem, NoSQL and Spark:

Hadoop and its Ecosystem: Hadoop is an open-source framework for distributed storage and processing of large data sets. Its core components include the Hadoop Distributed File System (HDFS) for data storage and the MapReduce programming model for data processing. Hadoop's ecosystem comprises various tools and frameworks designed to enhance its capabilities. Notable components include Apache Pig for data scripting, Apache Hive for data warehousing, Apache HBase for NoSQL database functionality, and Apache Spark for faster, in-memory data processing. These tools collectively form a robust ecosystem that enables organizations to tackle big data challenges efficiently, making Hadoop a cornerstone in the world of data analytics and processing.


NoSQL: NoSQL, short for "not only SQL," represents a family of database management systems designed to handle large and unstructured data. Unlike traditional relational databases, NoSQL databases offer flexibility, scalability, and agility. They are particularly well-suited for applications involving social media, e-commerce, and real-time analytics. Prominent NoSQL databases include Hbase for columnar storage used extensively in Hadoop Ecosystem.


Spark: Apache Spark is an open-source, lightning-fast data processing framework designed for big data analytics. It offers in-memory processing, which significantly accelerates data analysis and machine learning tasks. Spark supports various programming languages, including Java, Scala, and Python, making it accessible to a wide range of developers.  With its ability to process both batch and streaming data, Spark has become a preferred choice for organizations seeking high-performance data analytics and machine learning capabilities, outpacing traditional MapReduce-based solutions for many use cases.

Content

Module A - Hadoop Eco System - Basics

A1 - Hadoop Intro (1/2)
A2 - Hadoop Intro (2/2)
Materials
A3 - Python (1/4) Practical
A4 - Python (2/4) Practical
A5 - Python (3/4) Practical
A6 - Python (4/4) Practical
A7 - Linux (1/2) Practical
A8 - Linux (2/2) Practical
A9 - HDFS (1/4)
A10 - HDFS (2/4)
A11 - HDFS (3/4) Practical
A12 - HDFS (4/4) Practical
A13 - Map Reduce (1/4)
A14 - Map Reduce (2/4)
A15 - Map Reduce (3/4) Practical
A16 - Map Reduce (4/4) Practical
A17 - Pig (1/4)
A18 - Pig (2/4) Practical
A19 - Pig (3/4) Practical
A20 - Pig (4/4) Practical
A21 - Hive (1/4)
A22 - Hive (2/4) Practical
A23 - Hive (3/4) Practical
A24 - Hive (4/4) Practical

Module B - Hadoop Eco System - Advanced

B1 - NoSQL (1/2)
B2 - NoSQL (2/2)
B3 - Hbase (1/4)
B4 - Hbase (2/4)
B5 - Hbase (3/4) Practical
B6 - Hbase (4/4) Practical
B7 - Sqoop (1/2)
B8 - Sqoop (2/2) Practical
B9 - Flume (1/2)
B10 - Flume (2/2) Practical
B11 - Oozie (1/2)
B12 - Oozie (2/2) Practical

Module C - Spark

C1 - Scala (1/4)
C2 - Scala (2/4) Practical
C3 - Scala (3/4) Practical
C4 - Scala (4/4) Practical
C5 - Spark (1/8)
C6 - Spark (2/8)
C7 - Spark (3/8) Practical
C8 - Spark (4/8) Practical
C9 - Spark (5/8) Practical
C10 - Spark (6/8)vPractical
C11 - Spark (7/8) Practical
C12 - Spark (8/8) Practical
C13 - Spark SQL (1/5)
C14 - Spark SQL (2/5)
C15 - Spark SQL (3/5)
C16 - Spark SQL (4/5) Practical
C17 - Spark SQL (5/5) Practical
C18 - Kafka (1/2)
C19 - Kafka (2/2) Practical
C21 - Spark Streaming (1/2)
C21 - Spark Streaming (2/2) Practical

Screenshots

Big Data Hadoop and Spark with Scala - Screenshot_01Big Data Hadoop and Spark with Scala - Screenshot_02Big Data Hadoop and Spark with Scala - Screenshot_03Big Data Hadoop and Spark with Scala - Screenshot_04

Reviews

Anitha
February 5, 2023
I liked the way explained the theory in very interesting way, able to understand the concepts easily.
Arpit
August 5, 2022
I just watched the specific topic to check course content delivery and after covering Hive and Big Data Topic. 3 part of Hive having "Video Lag Issue" throughout the lecture from starting and slides are also not visible properly (some portion are hidden from right side of window). As He mentioned 3 part are the practical part but only 1 part is practical only and left 2 portion just covered related queries (Theoretically). The Course content delivery is very basic. If you're completely beginner you can go through this course but my suggestion is to you is - you will find same content with better explanation on YouTube Channels. Now, Refund window is also closed for me, after watching certain portion, idk why ? (5% course completed only.) Is their any way to get refund?
Kundan
July 11, 2022
Great Explanation .. Thanks to prepare such type of courses with easy explanation anyone can understand without any prior knowledge .
Mukesh
June 15, 2022
This course covers everything of Big Data. Basic & Practical videos helps to connect the dots around the data flow.
Basavaraj
June 12, 2022
What I expected to start my carrier in Data engineer I have search lot of meters to understand and this were I found
Udaiyappan
March 16, 2022
This course gives overall knowledge about Big Data. Things i liked in this course 1.Introduction about the each concept and history about it 2.Harish's way of explaining things Things that can be improved: 1.Can trim the videos (its sometimes annoying to sit through the rebooting time of machine of the instructor) 2.Expected ,some more real world examples
Ravi
March 8, 2022
amazing content course ,good understanding concepts and i am gaining lot knowledge for this course .thanking you sir harish masand sir thanking for sharing knowledge....
Rishabh
March 5, 2022
I think the instructor have a great knowledge however don't know how to teach a Students. I opt for many technical course and there instructor know how to guide a non-Knowledgeable person. Harsh words but truth. Awful teaching skill..
Nivedita
February 2, 2022
This course is really very good for beginner, I liked his teaching methodology. He has uploaded recorded video lessons he took for some people (in past) and you can hear his students as well so for some it may not work…. But for me it was kind of being in the live course even though its actually self-paced. In this course ,he explains every little thing in detail and would not go ahead if his students did not understand or had any doubt which is really a plus point. He encouraged his students to participate actively in the discussion. And all the discussion makes it better to understand the topic and learn everything quickly. He asked his students to thoroughly comprehend the topic and describe it in their own words which makes it easier to revise it. He better knows how to conduct lessons and make the learner pick it quickly. I would highly recommend him.
Edoh
December 20, 2021
It was an amazing long journey course and I appreciate the way the courses were taught: theory + practices. I learned a lot during this course and what remains is a lot of practices to master most important tools like HDFS, HIVE, SPARK, Linux, Scala and others. Thank you for this course and see you in the next one about scala in depth.
Gaurav
November 21, 2021
Topics are wonderfully explained. Speed is good so that everybody can understand. This is best course for every hadoop as learner especially for those who are coming from commerce and non technical background. Kudos to Harish Bhai
Zaheer
October 14, 2021
Every topic is explained in a very simple way, the course is really useful specially for those who are not from IT field.
Jason
September 26, 2021
It was good. He explains very well. Just need more technical examples using the console instead of the shell. But it is a good course to have a general idea of each tool from the cloudera environment.
Vamsi
September 13, 2021
Started the course just today. Intro went well. Lets see how it goes further. Will update the rating once after completing the course. Harish explanation is clear and it helps to understand what is what and what's it is used for.
Stuti
August 9, 2021
I am having trouble starting cloudera in oracle VM. There are no steps mentioned how to install cloudera for Mac. After online search I did install the oracle vm version 6.1.X, however when imported cloudera in oracle vm and tried starting it getting error. This is a pre-requisite to continue further lessons, but as I am facing issues due to lack of documentation, I am stuck.

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1993754
udemy ID
10/28/2018
course created date
5/31/2019
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