This is an interactive lecture of one of my Big data and Hadoop class where everything is covered from the scratch and also you will see students asking doubts so you can clear those concepts here as well.Students will be Able to crack Cloudera CCA 175 Certification after successful completion and with little practice.Tools covered:Sqoop
Flume
MapReduce
Hive
Impala
Beeline
Apache Pig
HBase
OOZIE
Project on a real data set( FILES WHICH ARE USED IN LECTURES FOR EXPLANATION OR IN PROJECT CANNOT BE UPLOADED DUE TO EXTENSION SO I WOULD REQUEST YOU TO ASK ME ON , SO I WILL MAIL IT TO YOU INDIVIDUALLY)
Facilities
Location
Start date
Online
Start date
Different dates availableEnrolment now open
About this course
Able to transfer Big Data from traditional database to your Hadoop Envirnment(HDFS)
be able to do all the required analytical jobs with HIVE, IMPALA and BEELINE on the BIG DATA provided to you, which will give you a real experience of how things work in a company
Learn the most leading tools of Hadoop like: SQOOP, HIVE, IMPALA, BEELINE, MAPREDUCE, PIG, HBASE. OOZIE, YARN, etc
Be ready for clearing the section of HADOOP in the CLOUDERA CCA175 CERTIFICATION
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This centre's achievements
2021
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 4 years
Subjects
Project
Magic
Approach
MySQL
Linux
Java
Course programme
Lecture 1
1 lecture01:03:24Introduction to Big Data and Hadoop Analytics
Lecture 1
1 lecture01:03:24Introduction to Big Data and Hadoop AnalyticsIntroduction to Big Data and Hadoop AnalyticsIntroduction to Big Data and Hadoop AnalyticsIntroduction to Big Data and Hadoop AnalyticsIntroduction to Big Data and Hadoop Analytics
Lecture 2
1 lecture57:11Hadoop Framework
Lecture 2
1 lecture57:11Hadoop FrameworkHadoop FrameworkHadoop FrameworkHadoop FrameworkHadoop Framework
Lecture 3
1 lecture01:08:53Hadoop Ecosystem
Lecture 3
1 lecture01:08:53Hadoop EcosystemHadoop EcosystemHadoop EcosystemHadoop EcosystemHadoop Ecosystem
Lecture 4
1 lecture01:06:29HDFS ( Hadoop Distributed File System )
Lecture 4
1 lecture01:06:29HDFS ( Hadoop Distributed File System )HDFS ( Hadoop Distributed File System )HDFS ( Hadoop Distributed File System )HDFS ( Hadoop Distributed File System )HDFS ( Hadoop Distributed File System )
Lecture 5
1 lecture01:01:27Magic Boxes, Sqoop and Flume
Lecture 5
1 lecture01:01:27Magic Boxes, Sqoop and FlumeMagic Boxes, Sqoop and FlumeMagic Boxes, Sqoop and FlumeMagic Boxes, Sqoop and FlumeMagic Boxes, Sqoop and Flume
Lecture 6
1 lecture01:03:29NameNode, DataNode and JournalNode
Lecture 6
1 lecture01:03:29NameNode, DataNode and JournalNodeNameNode, DataNode and JournalNodeNameNode, DataNode and JournalNodeNameNode, DataNode and JournalNodeNameNode, DataNode and JournalNode
Lecture 7
1 lecture57:54Input output operations, Ram and HDD, pros and cons
Lecture 7
1 lecture57:54Input output operations, Ram and HDD, pros and consInput output operations, Ram and HDD, pros and consInput output operations, Ram and HDD, pros and consInput output operations, Ram and HDD, pros and consInput output operations, Ram and HDD, pros and cons
Lecture 8
1 lecture58:22MapReduce Theory 1.1
Lecture 8
1 lecture58:22MapReduce Theory 1.1MapReduce Theory 1.1MapReduce Theory 1.1MapReduce Theory 1.1MapReduce Theory 1.1
Lecture 9
1 lecture01:01:55MapReduce Theory 1.2
Lecture 9
1 lecture01:01:55MapReduce Theory 1.2MapReduce Theory 1.2MapReduce Theory 1.2MapReduce Theory 1.2MapReduce Theory 1.2
Lecture 10
1 lecture57:57MapReduce Theory 1.3
Lecture 10
1 lecture57:57MapReduce Theory 1.3MapReduce Theory 1.3MapReduce Theory 1.3MapReduce Theory 1.3MapReduce Theory 1.3
Lecture 11
1 lecture01:04:49Combiner Approach
Lecture 11
1 lecture01:04:49Combiner ApproachCombiner ApproachCombiner ApproachCombiner ApproachCombiner Approach
Lecture 12
1 lecture58:29PRACTICAL : Sqoop with MySQL
Lecture 12
1 lecture58:29PRACTICAL : Sqoop with MySQLPRACTICAL : Sqoop with MySQLPRACTICAL : Sqoop with MySQLPRACTICAL : Sqoop with MySQLPRACTICAL : Sqoop with MySQL
Lecture 13
1 lecture59:39Let's go and visit the CLOUDERA MACHINE
Lecture 13
1 lecture59:39Let's go and visit the CLOUDERA MACHINELet's go and visit the CLOUDERA MACHINELet's go and visit the CLOUDERA MACHINELet's go and visit the CLOUDERA MACHINELet's go and visit the CLOUDERA MACHINE
Lecture 14
1 lecture59:58Sqoop commands and Introduction to LINUX commands
Lecture 14
1 lecture59:58Sqoop commands and Introduction to LINUX commandsSqoop commands and Introduction to LINUX commandsSqoop commands and Introduction to LINUX commandsSqoop commands and Introduction to LINUX commandsSqoop commands and Introduction to LINUX commands
Lecture 15
1 lecture01:00:44Sqoop Commands
Lecture 15
1 lecture01:00:44Sqoop CommandsSqoop CommandsSqoop CommandsSqoop CommandsSqoop Commands
Lecture 16
1 lecture56:46Basics of core Java, introduction to eclipse, MapReduce Coding
Lecture 16
1 lecture56:46Basics of core Java, introduction to eclipse, MapReduce CodingBasics of core Java, introduction to eclipse, MapReduce CodingBasics of core Java, introduction to eclipse, MapReduce CodingBasics of core Java, introduction to eclipse, MapReduce CodingBasics of core Java, introduction to eclipse, MapReduce Coding
Lecture 17
1 lecture01:57:59MapReduce : CODING
Lecture 17
1 lecture01:57:59MapReduce : CODINGMapReduce : CODINGMapReduce : CODINGMapReduce : CODINGMapReduce : CODING
Lecture 18
1 lecture01:03:54HIVE Theory
Lecture 18
Additional information
Well, for Big Data Analytics Core Java, My SQL is required, but if am your trainer, there are no prerequisites as I will be teaching everything from scratch
