Description
Learn Big Data: The Hadoop Ecosystem Masterclass Learn Big Data: The Hadoop Ecosystem Masterclass course published by Udemy Academy. Master the Hadoop ecosystem using HDFS, MapReduce, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, Zookeeper.
In this course you will learn Big Data using the Hadoop ecosystem. Why Hadoop? This is one of the most important skills in the IT industry. The median salary in the United States is $112,000 per year, compared to an average of $160,000 in San Francisco (source: Indeed). This course is aimed at software engineers, database administrators, and system administrators who want to learn about big data. Other IT professionals can also take this course, but may need to do more research to understand some of the concepts. You will learn how to use currently the most popular software in the Big Data industry using batch processing as well as real-time processing. This course will give you enough background to discuss real-world problems and solutions with industry professionals. Updating your LinkedIn profile with these technologies will make recruiters want to interview you at the most prestigious companies in the world. This course is very practical and has more than 6 hours of lectures. You want to try everything yourself and add several hours of learning. Support is available if you get stuck while trying the technology. I will answer your messages on the message boards and we have a Facebook group where you can post your questions.
What you will learn in the Learn Big Data: The Hadoop Ecosystem Masterclass course:
- Big data processing using batch
- Process big data using real-time data
- Be familiar with the technologies available in the Hadoop Stack
- Be able to install and configure Hortonworks Data Platform (HDP).
Who is this course suitable for:
- This course is for anyone who wants to know how Big Data works and what technologies are involved.
- The main focus is on the Hadoop ecosystem. We do not cover any technology that is not in the Hortonworks Data Platform stack.
- This course compares MapR, Cloudera, and Hortonworks, but we only use the Hortonworks Data Platform (HDP) in the demos.
Course details
- Publisher: Yudmi
- teacher: Edward Viaene
- English language
- Training level: introductory to advanced
- Number of courses: 98
- Training duration: 5 hours and 58 minutes
Course headings
Course prerequisites
You will need to have a background in IT. The course is aimed at Software Engineers, System Administrators, DBAs who want to learn about Big Data.
Knowing any programming language will enhance your course experience.
The course contains demos you can try out on your own machine. To run the Hadoop cluster on your own machine, you will need to run a virtual server. 8 GB or more RAM is recommended.
Pictures
Course introduction video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
1.35 GB
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