Udemy - Hadoop for Non Java Developers [Free]

Udemy - Hadoop for Non Java Developers 

Udemy - Hadoop for Non Java Developers
Free

  • Lectures 20
  • Length 19.5 hours
  • Skill Levels All Levels
  • Languages English
  • Published 1/2018

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Description

The course is 19.5 hours of videos that will help you to learn the basics of Java and hadoop pretty well.
It is targeted to the people who have no prior knowledge on Java and hadoop.
It is recommended to maintain a notebook and make your notes while going through the session as it helps you better organize your learning.
We have just included only the installation documents and nothing else so that you keep your notebook and maintain everything.This may look little difficult but will give you a lot of confidence once you have a good notes on your own.
We will start with hadoop 1.x and then later move to hadoop 2 which I would be adding soon.
Java is a never ending ocean,so we have tried our best to give you some initiate chapters that can help you to learn some bit of it and then use them in your hadoop map-reduce program.
By the end of the course you will be able to learn 
Java
  1. Introduction to Java
  2. Installation and First Application
  3. dissecting java program
  4. Identifiers in Java
  5. Data types in Java
  6. Type conversion
Hadoop
  1. Introduction to Big data and hadoop,
  2. SQL Hadoop Terminologies,
  3. Hadoop Architecture
  4. Installing Java in ubuntu using VMWare
  5. Hadoop versioning and Modes
  6. Hadoop Daemons
  7. How mapreduce works
  8. Inspiration to wordcount
  9. Installing hadoop 1.2.1 (Please dont install hadoop 2 now)
  10. HDFS basic commands
  11. Configuring hadoop in Eclipse
  12. Developing word count example in Hadoop
  13. Very important observation in wordcount

 

Udemy - Mastering Hadoop: The How to Guide of a Practical Approach [100% Off]

Udemy - Mastering Hadoop: The How to Guide of a Practical Approach 

Udemy - Mastering Hadoop: The How to Guide of a Practical Approach
$195 Free 100% Off

  • Lectures23
  • Length 7 hours
  • Skill Level All Level
  • Languages English
  • Published 7/2016

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Description

Data Analytics is a core part of any service based company now, more and more companies are pushing distributed computing and analytical processing into mainstream solution offering.
With these current industry requirements and the business need to provide customer intrinsic needs, its important to identify and work on offering solution by understanding customers historical and predictive trends and suggest and offer to him with services which can bond and maintain customer loyalty.

However, earning customer loyalty and understanding the customer behaviour to make business decisions are easier said than done. In todays social world where data collection process is so diverse and possibly extreme in terms of ways and process where and how to collect data is becoming increasingly business as well as technology challenge to collect and process data from all possible channels/media.
 In this course we try to explain using business cases, examples and use cases to identify potential business bottleneck and why traditional data storage and data processing is a challenge with these diverse channels of data and provide an intuitive and interactive guide and how Big Data in general and Hadoop in specific can solve the challenges proposed.
We have been working on Hadoop Big Data based solution offerings for past 9+ years and we provide our experience with a very intuitive flow while explaining the concepts of Hadoop in every video. We understand the challenges in learning a new service platform and have tried to explain every topic with many examples and real life situations to make the learning interesting. Wishing you a great career in Big Data and happy learning...

Udemy - CCA 175 - Spark and Hadoop Developer Certification - Scala [Free]

Udemy - CCA 175 - Spark and Hadoop Developer Certification - Scala 

Udemy - CCA 175 - Spark and Hadoop Developer Certification - Scala
Free

  • Lectures 61
  • Length 11.5 hours
  • Skill Levels Beginner Levels
  • Languages English
  • Published 10/2017

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Description

Complete curriculum of CCA Spark and Hadoop Developer using Scala as Programming Language
  • Scala Fundamentals
  • Core Spark - Transformations and Actions
  • Spark SQL and Data Frames
  • File formats
  • Flume, Kafka and Spark Streaming
  • Apache Sqoop
Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.

 

Udemy - Hadoop Admin : 4 Node Cluster Setup (Cloudera® CDH Platform) [Free]

Udemy - Hadoop Admin : 4 Node Cluster Setup (Cloudera® CDH Platform) 

Udemy - Hadoop Admin : 4 Node Cluster Setup (Cloudera® CDH Platform)
Free

  • Lectures 17
  • Length 5 hours
  • Skill Levels All Levels
  • Languages English
  • Published 9/2017

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Description

HadoopExam training always focused on in depth learning as well as more focus on HnadsOn sessions. This Hadoop Admin Training is completely focus on Cloudera Platform most of the HandsOn session, with step by step guide. In this training , you will learn basics of hadoop to configure multi node cluster as well, same approach you will be following in production environment. We will cover basic services required to create CDH cluster as well as various concepts. Hence, once you complete this training, you will be good on Hadoop Admin activity, you will be creating entire cluster by the end of this training with Hands on experience. This training will also help you to prepare for CCA131 Cloudera Certification. We already have developed a certification preparation kit with 44 practice scenario for Hadoop Admin certification. In this training , we will also learn to setup single node as well as multi node cluster. Please check below for entire course curriculum. 

Udemy - Mastering Hadoop: The How to Guide of a Practical Approach [100% Off]

Udemy - Mastering Hadoop: The How to Guide of a Practical Approach 

Udemy - Mastering Hadoop: The How to Guide of a Practical Approach 100% Off

  • Lectures 23
  • Length 7 hours
  • Skill Level All Levels
  • Languages English
  • Published 7/2016

Udemy coupon Free

Udemy Coupon Code $10 FLASH SALE! Udemy Free Coupons

Thousands of 100% Off Udemy Coupons, Udemy discounts. Includes huge number of $10 Coupons, 97% off Coupons. Expires Each Hour. Quantity Limited!

Udemy Coupon Code : EARLY_2017_3

Description

Data Analytics is a core part of any service based company now, more and more companies are pushing distributed computing and analytical processing into mainstream solution offering.
With these current industry requirements and the business need to provide customer intrinsic needs, its important to identify and work on offering solution by understanding customers historical and predictive trends and suggest and offer to him with services which can bond and maintain customer loyalty.

However, earning customer loyalty and understanding the customer behaviour to make business decisions are easier said than done. In todays social world where data collection process is so diverse and possibly extreme in terms of ways and process where and how to collect data is becoming increasingly business as well as technology challenge to collect and process data from all possible channels/media.
 In this course we try to explain using business cases, examples and use cases to identify potential business bottleneck and why traditional data storage and data processing is a challenge with these diverse channels of data and provide an intuitive and interactive guide and how Big Data in general and Hadoop in specific can solve the challenges proposed.
We have been working on Hadoop Big Data based solution offerings for past 9+ years and we provide our experience with a very intuitive flow while explaining the concepts of Hadoop in every video. We understand the challenges in learning a new service platform and have tried to explain every topic with many examples and real life situations to make the learning interesting. Wishing you a great career in Big Data and happy learning...
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