Mastering Big Data and Hadoop from Scratch Exam - Certification Training Course

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Mastering Big Data and Hadoop from Scratch Training Course
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Mastering Big Data and Hadoop from Scratch

PDFs and exam guides are not so efficient, right? Prepare for your Databases Courses examination with our training course. The Mastering Big Data and Hadoop from Scratch course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Databases Courses certification exam. Pass the Databases Courses Mastering Big Data and Hadoop from Scratch test with flying colors.
141 Students Enrolled 49 Lectures 03:43:09 Hours

Curriculum For This Course

1
Introduction to Big Data and Hadoop
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9Lectures
Time 00:26:14
2
Exploring HDFS
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8Lectures
Time 00:21:20
3
Exploring MapReduce
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3Lectures
Time 00:07:05
4
Understanding MapReduce Programming Framework
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3Lectures
Time 00:08:01
5
Installing a Single Node, Pseudo Hadoop Cluster on a Local Machine
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7Lectures
Time 00:46:42
6
Installing a Multi Node, Fully Distributed, Hadoop Cluster on a Local Machine
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4Lectures
Time 00:32:33
7
Amazon EC2 Basics
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1Lectures
Time 00:10:48
8
Maintaining a Hadoop Cluster
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13Lectures
Time 01:07:30
9
Programming with MapReduce
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1Lectures
Time 00:02:56

About This Course

If you want to deal with complex data sets and solve problems appearing when working with a great amount of data, then your basic skills may not be enough. Big Data and Hadoop may be not easy to understand. However, if you are going to master this field, it is possible with this amazing video course.

Why do you need this course? It will give you an understanding of how to build and install the Hadoop Cluster from the beginning. All the concepts about Big Data and Hadoop are explained clearly. You will be able to administer the Hadoop Cluster professionally. As programming in MapReduce is also one of the main parts of the training, you will be good at writing programs with MapReduce.

With the help of the training, you will get to know the terminology and main concepts of Hadoop and Big Data, including NameNode, JobTracker, TaskTracker, DataNode, and etc. It will be taught how the Hadoop Distributed File System manage the data and how to add TaskTracker or DataNode to an existing cluster. You will learn how to check HDFS for errors and balance DataNode. You will also get the information regarding programming with MapReduce. After the course, you will understand clearly how to develop MapReduce apps for the Hadoop Cluster and administer it.

It is recommended that you have core programming knowledge and understand Java and Linux. In general, Big Data and Hadoop may not be so difficult for your understanding if to choose the right tutor. With this course, you will receive clear explanations regarding the most important aspects.

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