The Ultimate Hands-On Hadoop - Tame your Big Data! (2018)

Category: Tutorial


Posted on 2018-10-11, by everest555.

Description


The Ultimate Hands-On Hadoop - Tame your Big Data!
.MP4, AVC, 790 kbps, 1920x1080 | English, AAC, 128 kbps, 2 Ch | 14.5 hours | 3.54 GB
Created by Sundog Education, Frank Kane


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Hadoop, MapReduce, HDFS, Spark, Pig, Hive, HBase, MongoDB, Cassandra, Flume - the list goes on! Over 25 technologies.

Learn and master the most popular big data technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb.

Hadoop, MapReduce, HDFS, Spark, Pig, Hive, HBase, MongoDB, Cassandra, Flume - the list goes on! Over 25 technologies.
The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this course, you'll not only understand what those systems are and how they fit together - but you'll go hands-on and learn how to use them to solve real business problems!
Learn and master the most popular big data technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb. We'll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with.
Install and work with a real Hadoop installation right on your desktop with Hortonworks and the Ambari UI
Manage big data on a cluster with HDFS and MapReduce
Write programs to analyze data on Hadoop with Pig and Spark
Store and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto
Design real-world systems using the Hadoop ecosystem
Learn how your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue
Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm
Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data.
Almost every large company you might want to work at uses Hadoop in some way, including Amazon, Ebay, Facebook, Google, LinkedIn, IBM, Spotify, Twitter, and Yahoo! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images.

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