Big Data Hadoop and Spark with Scala
4.3 (405 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
11,635 students enrolled

Big Data Hadoop and Spark with Scala

Complete course (No Prerequisites) - Big Data Hadoop with Spark and Eco system
4.3 (405 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
11,635 students enrolled
Created by Harish Masand
Last updated 7/2020
English
English [Auto]
Current price: $139.99 Original price: $199.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 40 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • You will learn about Hadoop, eco system, tools and spark
  • Big Data Hadoop Development
Requirements
  • No Pre-requisite required.
  • Curiosity to learn new technology.
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.

Who this course is for:
  • People looking to advance their career in Data Engineering, Big Data, Hadoop, Spark
  • Hadoop python spark scala hive pig oozie sqoop flume kafka
Course content
Expand all 59 lectures 39:55:58
+ Module A - Hadoop Eco System - Basics
25 lectures 15:48:06
A2 - Hadoop Intro (2/2)
52:50
Materials
00:03
A3 - Python (1/4) Practical
26:35
A4 - Python (2/4) Practical
27:23
A5 - Python (3/4) Practical
01:00:35
A6 - Python (4/4) Practical
40:09
A7 - Linux (1/2) Practical
30:02
A8 - Linux (2/2) Practical
01:15:16
A9 - HDFS (1/4)
51:16
A10 - HDFS (2/4)
21:45
A11 - HDFS (3/4) Practical
42:19
A12 - HDFS (4/4) Practical
20:47
A13 - Map Reduce (1/4)
32:25
A14 - Map Reduce (2/4)
47:14
A15 - Map Reduce (3/4) Practical
44:23
A16 - Map Reduce (4/4) Practical
55:50
A19 - Pig (3/4) Practical
01:14:26
A20 - Pig (4/4) Practical
46:05
A21 - Hive (1/4)
20:20
A22 - Hive (2/4) Practical
24:54
A23 - Hive (3/4) Practical
43:42
A24 - Hive (4/4) Practical
32:14
+ Module B - Hadoop Eco System - Advanced
13 lectures 10:23:25
B1 - NoSQL (1/2)
55:28
B2 - NoSQL (2/2)
59:34
B3 - Hbase (1/4)
49:14
B4 - Hbase (2/4)
01:05:08
B5 - Hbase (3/4) Practical
01:04:28
B6 - Hbase (4/4) Practical
42:29
B7 - Sqoop (1/3) Theory
19:21
B8 - Sqoop (2/3) Practical
30:18
B8 - Sqoop (3/3) Practical
49:52
B9 - Flume (1/2)
41:20
B10 - Flume (2/2) Practical
50:13
B11 - Oozie (1/2)
30:29
B12 - Oozie (2/2) Practical
01:05:31
+ Module C - Spark
21 lectures 13:44:26
C1 - Scala (1/4)
37:40
C2 - Scala (2/4) Practical
57:29
C3 - Scala (3/4) Practical
35:45
C4 - Scala (4/4) Practical
45:34
C5 - Spark (1/8)
37:17
C6 - Spark (2/8)
31:30
C7 - Spark (3/8) Practical
43:00
C8 - Spark (4/8) Practical
30:06
C9 - Spark (5/8) Practical
39:17
C10 - Spark (6/8)vPractical
42:04
C11 - Spark (7/8) Practical
25:28
C12 - Spark (8/8) Practical
44:11
C13 - Spark SQL (1/5)
05:58
C14 - Spark SQL (2/5)
19:10
C15 - Spark SQL (3/5)
53:51
C16 - Spark SQL (4/5) Practical
41:15
C17 - Spark SQL (5/5) Practical
37:37
C18 - Kafka (1/2)
59:00
C19 - Kafka (2/2) Practical
21:29
C21 - Spark Streaming (1/2)
56:26
C21 - Spark Streaming (2/2) Practical
01:00:19