Rs 18,000.00

Hadoop Training in Chennai


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  • Street: Haritha Building,, Old No: 67a;New No: 18, First Floor, Janakpuri 1st street, Velachery,
  • Phone: 09123554372
  • District: Ernakulam
  • Country: India
  • Zip/Postal Code: 600042
  • Listed: December 12, 2017 7:30 am
  • Expires: 317 days, 8 hours


Spark | Hadoop Training in Chennai

Spark and MapReduce – Component of Hadoop

In this Article we will see about the Mapreduce and Spark. We will see how the spark is powerful and replacing the MapReduce. Spark is the powerful framework which must be the part of the Hadoop Training in modern classroom.

MapReduce in Hadoop

Mapreduce has been implemented by Giants such as Google and Hadoop. HDFS, PIG, Hive, HBase all these components are implemented in top of MapReduce.

Two main Hadoop Components are HDFS and MapReduce. Mapreduce is the processing unit of Hadoop. Big data which was stored in HDFS which will not be in classical data format. It will be stored in separated data nodes. Our Programming language will not process these scattered data. Hence we need special kind of framework like Mapreduce which will understand the scattered data in different location which will give the correct information to application.

MapReduce advantage

Main advantage of Mapreduce in Big data would be it will involve parallel processing.

It is extensively used in so much of areas such as Index, searching, Analytics, various classifieds, recommendation engine. For Example, Amazon, Flipkart and in much more e-commerce provide recommendation of similar products. While you purchase a particular product lot of similar and recommended products will be displayed along with your product. This is parallel processing strength.

Apache Spark – Introduction

Apache spark is an open source software which is very flexible “In memory” framework. The unique quality of this Apache Spark compute engine is like, it allows the same unified framework to do the batch interactive jobs on the cluster.

Learn about RDD

We need to understand the RDD before starting the introduction about SPARK. RDD is Resilient Distributed Datasets .We can extract the data from system in object format. We can do the computation on top of object format. The building blocks of RDD are lineage graphs. Any failures in the system will be recovered by re computing lineage graph, ll be very useful for recovery.

In traditional Distributed system memory it will go back to checkpoints then it will recover that particular point.

Lazy evaluation is one of the major interesting factor in RDD. For Example, Reading the CSV file will create the RDD. First statement which will execute the read of CSV will point out that particular file. It will not load the entire data into the memory. If user wants to search “Hadoop Training” in whole big data. First the specification will be collected, then Another RDD Will be constructed here. Still now spark will not collect the data on computer.
When we trigger an action like counting the no of words for “Hadoop Training” then the spark will got execute into the action and it will count the words from RDD.

Benefits of SPARK `

Fault recovery using lineage is the major benefit. In-Memory computation is the main benefits in Spark.It will use the Directed Acyclic graph.Easy for programming since it will be transformation and actions using RDD. Very rich library support for machine learning, Graphix, Data Frames. In real time financial sectors are the huge customers for Spark.

Mapreduce VS Spark

Spark address the performance challenges very well compared to MapReduce
MapReduce need Lots of Java Code and difficult API interactions. In other hand Spark API is very well designed.

We need to split the huge job into so much of smaller job in MapReduce. Spark will execute the huge job in much better parallel form compared to Mapreduce.

Spark will support Python, Scala and other popular languages.

Spark architecture is uniquely well suited for streaming processing, stream engine
Nowadays, Hive, Pig, Sqoop are migrating from the Mapreduce to Spark in Hadoop ecosystem.

Which is the best training Institute for Hadoop Training in Chennai?

Hope Tutors is the best Hadoop Training in Chennai. Hope Tutors provide Classroom | Online Big Data | Spark | Hadoop Training in Chennai at affordable cost.

Why Hope Tutors is best in Big Data | Hadoop Training?

Hope Tutors is the Best Institute for Hadoop Training in Chennai because of the below qualities,
Full Practical oriented training deals with real world problem.
Latest trend and latest issues faced by the working professional will be part of training syllabus. Hope Tutors provide Hadoop | Big data architect level training from 8+ years experienced industry working professional.

Contact Hope Tutors @ +91-7871012233 and mail :

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