Big Data and Hadoop Tutorial covers Introduction to Big Data,Overview of Apache Hadoop,The Intended Audience and Prerequisites, The Ultimate Goal of this Tutorial, The Challenges at Scale and the Scope of Hadoop, Comparison to Existing Database Technologies,The Hadoop Architecture & Module, Introduction to Hadoop Distributed File System, Hadoop Multi Node Clusters, HDFS Installation and Shell Commands, Hadoop MapReduce – Key Features & Highlights, Hadoop YARN Technology, Introduction to Pig, Sqoop and Hive.
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This clearly specifies the kind of potential the field of Big Data has. After learning these facts you must be curious to know about Big Data. Let’s know the applications of big data briefly –
|Areas||Big Data applications|
|Targeting customers||Big Data helps understanding customers and target them in personalized fashion.|
|Science and Research||Big Data helps make machines smarter. For example, Google’s Self-driving cars|
|Security||Big Data is used to keep track of the terrorists and anti-national agencies|
|Finance||Big Data algorithms are used to analyze market and trading opportunities|
After successful completion of this Tutorial, you as an individual will have enough working knowledge and proficiency in the following:
The ultimate goal of this Tutorial is to help you become a professional in the field of Big Data and Hadoop and ensuring you have enough skills to work in an industrial environment and solve real world problems to come up with solutions that make a difference to this world.
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