Hadoop Development Training Institute Pune
Introduction to Hadoop
Big Data is the data which can not be processed by traditional database systems i.e.Mysql,Sql.
Big data consist of data in the structured ie.Rows and Coloumns format ,semi-structured i.e.XML records and Unstructured format i.e.Text records,Twitter Comments.
Hadoop is an software framework for writing and running distributed applications that processes large amount of data.
Hadoop framework consist of Storage area known as Hadoop Distributed File System(HDFS) and processing part known as MapReduce programming model.
Hadoop Distributed File System is a filesystem designed for large-scale distributed data processing under framework such as Mapreduce.
Hadoop works more effectively with single large file than number of smaller one.
Hadoop mainly uses four input formats-FileInput Format,KeyValueTextInput Format,TextInput Format,NLineInput Format.
Mapreduce is Data processing model consist of data processing primitives called Mapper and Reducer.
Hadoop supports chaining MapReduce programs together to form a bigger job.We will explore various joining technique in hadoop
for simultaneously processing multiple datasets.Many complex tasks need to be broken down into simpler subtasks,each accomplished by an individual Mapreduce jobs.
For example,from the citation data set you may be interested in finding ten most cited patents.A sequence of two Map reduce jobs can do this.
Hadoop clusters which supports for Hadoop HDFS,MapReduce ,Sqoop ,Hive ,Pig , HBase , Oozie , Zookeeper, Mahout , NOSQL , Lucene/Solr,Avro,Flume,Spark,Ambari Hadoop is designed for offline processing and analysis of large-scale data.
Hadoop is best used as a write-once,Read-many-times type of datastore.
With the help of hadoop large dataset will be divided into smaller (64 or 128 MB)blocks that are spread among many machines in the clusters via Hadoop Distributed File System.
The hadoop certificate validates a professional’s abilities in following skills:-
1.Big data storage
2.Big data analysis
5.Recommendation as per clients requirement
The key functions of hadoop :
1) Approachable-Hadoop runs on Huge clusters of appropriate Hardware apparatus.
2) Powerful-Because it is intentional to run on clusters of appropriate Hardware apparatus ,Hadoop is architect with the presumption of repeated hardware malfunctions.It can handle most of such failures.
3) Resizable-Hadoop mearsures sequentially to hold large data by including more nodes to the cluster.
4) Simple-Hadoop allows users to speedly write well-organized parallel codes.
100% Job Assistance
We have dedicated a team for Job Placement that provides placement that has a provien track record to place students.
Our Mentors are more than 9-year Expertise Technology Geeks that are Highly Qualified for Delivering Training.
We provide lifetime support so that if a student get stuck in the further studies we will revise and help them on the subject.
Duration 2 months.
Duration 4 months.
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Duration 2 months.
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