Browsing articles tagged with " Hadoop"
Oct
27
2018

Hadoop: Fundamentals

Name Product: Hadoop: Fundamentals
Download Size: 2.23 GB
COST: $19.99= Yours Free
Author: Lynn Langit
Sale Page: _https://www.lynda.com/Hadoop-tutorials/Hadoop-Fundamentals/191942-2.html

Hadoop: Fundamentals training course is designed to give you the basic overview of the Hadoop framework. The course covers the fundamental concepts to process and analyze large sets of data stored in HDFS. The course also briefly touches the more advanced concepts like Sqoop and Flume for data ingestion. The more details about these advanced concepts is covered under the course Hadoop: Intermediate. The Hadoop: Fundamentals course is part of a two course series which covers the essential concepts in getting to know Hadoop and the big-data analytics.

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Nov
14
2016

Vaibhav Gupta – Learn BigData & Hadoop with Practical (2016)

Name Product: Vaibhav Gupta – Learn BigData & Hadoop with Practical (2016)
Download Size: 505 MB
COST: $30 = Yours Free
Author: Vaibhav Gupta
Sale Page: _https://www.udemy.com/learn-bigdata-hadoop-with-practical/

Learn Hadoop and BigData with real examples and architecture of Hadoop

What is Bigdata / Hadoop
– Big Data are large data sets which can’t be processed using traditional data processing software.
– These data sets consist of data from different sources and are analyzed and processed for gathering valuable information.

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Nov
12
2015

Ryan Blue- Analytic Data Storage in Hadoop

Name Product: Ryan Blue- Analytic Data Storage in Hadoop
Download Size: 1.8 GB
COST: = Yours Free
Author: Ryan Blue

In this Analytic Data Storage in Hadoop training course, expert author Ryan Blue will teach you about typical storage and ingest patterns in Hadoop. This course is designed for users that are already familiar with Hadoop.

You will start by learning how to create the dataset, load sample data, and query a dataset. From there, Ryan will teach you about partitioning, formats, and Avro. This video tutorial also covers parquet, bulk data drops, and database snapshots and mirroring. Finally, you will learn about event stream processing, including how to build a test pipeline and move to production.

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