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8/15/2020
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! The Ultimate Hands-On Hadoop - Tame your Big Data is a training course from the Udemy site that introduces you to Hadoop tools and working with very large data. The world of Hadoop and big data may be scary and confusing for you due to the vastness and existence of hundreds of new technologies with code names. Today, almost all large companies such as Amazon, Google, Facebook, Twitter and IBM use Hadoop in some way; So gaining skills in this ecosystem can completely affect your career future. With this course, you will not only learn about Hadoop tools and how they relate, but you can also learn how to use them to solve many business problems.
This course teaches you more than 25 different technologies in the field of big data and introduces you to the complete set of Hadoop tools. Some of the topics in this course include topics such as installing and working with Hadoop software with the help of Hortonworks and Ambari user interface, managing big data in a batch by HDFS and MapReduce, writing a program to analyze data on Hadoop using Pig and Spark, store and query data with Hive and HBase, design real-world systems using the Hadoop ecosystem, manage categories with YARN and Mesos, and manage data streams in real-time with Kafka and Flume.
Design distributed systems for big data management using Hadoop
Use HDFS and MapReduce to store and analyze data
Use Pig and Spark to create scripts for information processing
Analysis of relational data using Hive and MySQL
Non-relational data analysis by HBase, Cassandra, and MongoDB
Data query with Drill, Phoenix, and Presto
Select a suitable storage source for applications
Publish data on Hadoop categories with the help of Kafka, Sqoop, and Flume
Stream data by Spark Streaming, Flink, and Storm
English language
Duration: 14 hours and 38 minutes
Number of lessons: 101
Level of education: Intermediate
Instructor: Frank Kane
File format: mp4
You will need access to a PC running 64-bit Windows, MacOS, or Linux with an Internet connection, if you want to participate in the hands-on activities and exercises. You must have at least 8GB of free RAM on your system; 10GB or more is recommended. If your PC does not meet these requirements, you can still follow along in the course without doing hands-on activities.
Some activities will require some prior programming experience, preferably in Python or Scala.
A basic familiarity with the Linux command line will be very helpful.
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Changes:
Version 2020/4 compared to 2019/5 has 4 lessons and about 7 minutes increase in total time.
Version 2020/10 has increased by 1 lesson and 1 minute compared to 2020/4.
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