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Hands-on beginner's guide on big data and Hadoop 3 / Packt ; Milind Jagre

Additional Titles
Hands-on beginner's guide on big data and Hadoop 3 [v]
Published
Birmingham, England : PACKT Publishing, 2018.
Physical Description
1 online resource (183 minutes)
Additional Creators
Jagre, Milind and Packt Publishing
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Language Note
In English.
Summary
Effectively store, manage, and analyze large Datasets with HDFS, SQOOP, YARN, and MapReduce. About This Video: Handle big data with ease using Hadoop and its ecosystem. Learn to store data with HDFS, transfer bulk data with SQOOP, and manage data efficiently with YARN.M ake your foundation strong with the basic concepts of Hadoop and big data Analytics. In Detail: Do you struggle to store and handle big data sets? This course will teach to smoothly handle big data sets using Hadoop 3. The course starts by covering basic commands used by big data developers on a daily basis. Then, you'll focus on HDFS architecture and command lines that a developer uses frequently. Next, you'll use Flume to import data from other ecosystems into the Hadoop ecosystem, which plays a crucial role in the data available for storage and analysis using MapReduce. Also, you'll learn to import and export data from RDBMS to HDFS and vice-versa using SQOOP. Then, you'll learn about Apache Pig, which is used to deal with data using Flume and SQOOP. Here you'll also learn to load, transform, and store data in Pig relation. Finally, you'll dive into Hive functionality and learn to load, update, delete content in Hive. By the end of the course, you'll have gained enough knowledge to work with big data using Hadoop. So, grab the course and handle big data sets with ease. (The code bundle for this course is available at https://github.com/PacktPublishing/Hands-On-Beginner-s-Guide-on-Big-Data-and-Hadoop-3-).
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Duration
["03:02:24"]
Digital File Characteristics
video file
Note
Title from title frames (viewed May 29, 2019).
View MARC record | catkey: 29637166