Hadoop and Mapreduce Certification
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Hadoop and Mapreduce Certification

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Vskills certification for Hadoop and Mapreduce assesses the candidate for skills on Hadoop and Mapreduce platform for big data applications. The certification tests the candidates on various areas in ...

Vskills certification for Hadoop and Mapreduce assesses the candidate for skills on Hadoop and Mapreduce platform for big data applications. The certification tests the candidates on various areas in Hadoop and Mapreduce which includes knowledge of Hadoop, Mapreduce, their configuration and administration, cluster installation and configuration, using pig, zookeeper and Hbase.
http://www.vskills.in/certification/Certified-Hadoop-and-Mapreduce-Professional

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Hadoop and Mapreduce Certification Hadoop and Mapreduce Certification Document Transcript

  • Certified Hadoop and Mapreduce Professional VS-1051
  • Certified Hadoop and Mapreduce Professional Certified Hadoop and Mapreduce Professional Certification Code VS-1051 Vskills certification for Hadoop and Mapreduce assesses the candidate for skills on Hadoop and Mapreduce platform for big data applications. The certification tests the candidates on various areas in Hadoop and Mapreduce which includes knowledge of Hadoop, Mapreduce, their configuration and administration, cluster installation and configuration, using pig, zookeeper and Hbase. preKnowledge of Java programming language is pre-requisite for certification. Why should one take this certification? This Course is intended for professionals and graduates wanting to excel in their chosen areas. It is also well suited for those who are already working and would like to take certification for further career progression. Earning Vskills Hadoop and Mapreduce Professional Certification can help candidate differentiate in today's competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential. Who will benefit from taking this certification? Job seekers looking to find employment in various IT companies or freelance, students generally wanting to improve their skill set and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification. Test Details • • • Duration: 60 minutes No. of questions: 50 Maximum marks: 50, Passing marks: 25 (50%) There is no negative marking in this module. Fee Structure Rs. 3000/- (Includes all taxes) www.vskills.in
  • Certified Hadoop and Mapreduce Professional Companies that hire Vskills Certified Hadoop and Mapreduce Professional Vskills Certified Hadoop and Mapreduce Professional finds employment in big or small cloud based software development and IT infrastructure companies. There is a shortage of skilled professionals in this field and companies are in a constant look out of people well acquainted with the work culture and the processes involved. www.vskills.in
  • Certified Hadoop and Mapreduce Professional Table of Contents Introduction 1. Introduction 1.1 History of Hadoop Project 1.2 Need and requirement for Hadoop 1.3 Components of Hadoop project 2. HDFS 2.1 Basics (Blocks, Namenodes and Datanodes) 2.2 Interfaces and Data read and write process 2.3 HAR files and distcp 2.4 Command Line Interface 2.5 SequenceFile and MapFile, Checksumming, codecs and Writables 3. MapReduce 3.1 Basics and Configuration API 3.2 Combiner functions and streaming 3.3 Counters, sorting, joins and side data 3.4 Input formats (Text, binary, database, multiple) 3.5 Output formats (Text, binary, database, multiple) 3.6 Submission and initialization of job and task 3.7 JobTracker and TaskTracker classes 3.8 Scheduling, Shuffle and sort 3.9 Environment and side effects 3.10 Configuration API 3.11 Debugging and Optimizing 4. Cluster 4.1 Installation 4.2 Configuration 4.3 Testing and benchmarking 5. Administration 5.1 dfsadmin, fsck and balancer 5.2 log4j logging, log levels, stack trace and metrics 5.3 Backup and filesystem checks 5.4 Add and removal of nodes 6. Pig 6.1 Installation, Local and hadoop mode 6.2 Grunt, script and embedded execution 6.3 Pig Latin www.vskills.in
  • Certified Hadoop and Mapreduce Professional 6.4 UDF and data processing operator 7. Hbase 7.1 Need and evolution 7.2 Installation 7.3 Clients 8. Zookeeper 8.1 Installation 8.2 Group membership and management 8.3 Znodes 8.4 API, triggers and ACL 8.5 States, consistency and sessions 8.6 Implementation www.vskills.in
  • Certified Hadoop and Mapreduce Professional Course Outline Introduction Illustrating the history and need of hadoop project Describing the various components of hadoop project HDFS Explaining the Hadoop Distributed Filesystem (Blocks, Namenodes and Datanodes) Describing the various interfaces and data read and write process of the HDFS Applying hadoop archives files and distcp for data storage and transfer Exploring the various options in the command line interface Implementing checksumming, SequenceFile and MapFile, codecs and Writables MapReduce Describing the basics and configuration API of mapreduce Utilizing the combiner functions and streaming in mapreduce Illustrating the application of counters, sorting, joins and side data Accessing data from various input formats (Text, binary, database, multiple) Explaining generation of various output formats (Text, binary, database, multiple) Illustrating steps of submission and initialization of job and task Detailing the JobTracker and TaskTracker classes Applying scheduling, shuffle and sort Configuring the environment and impact of side effects Elucidating the process of debugging and optimizing in mapreduce Cluster Explaining the steps of installation of cluster Illustrating the various options of configuration Describing the process of testing and benchmarking Administration Explaining the usage of dfsadmin, fsck and balancer Monitoring and logging by log4j, log levels, stack trace and metrics Describing the process of backup and filesystem checks Illustrating the steps for managing nodes of a cluster Pig Explaining the need, installation and the local and hadoop mode Describing the various executions like grunt, script and embedded Illustrating the syntax and semantics of pig latin Detailing the user defined functions and data processing operator www.vskills.in
  • Certified Hadoop and Mapreduce Professional Hbase Explaining the need and evolution of hbase Illustrating the steps for installation Describing the various clients for connecting to hbase Zookeeper Describing the installation process Explaining the concepts of group membership and management Detailing the Znodes and their types Various operations in zookeeper by API, triggers and ACL Implementing consistency, states and sessions in zookeper Illustrating the steps of implementation of zookeeper www.vskills.in
  • Certified Hadoop and Mapreduce Professional Sample Questions blo 1. The size of block in HDFS is _____________. A. 512 bytes B. 64 MB C. 1024 KB D. None of the above 2. The switch given to “hadoop fs” command for detailed help is _____________. A. -show B. -help C. -? D. None of the above 3. RPC means ______________. A. Remote processing call B. Remote process call C. Remote procedure call D. None of the above HDFS? 4. Which method of the FileSystem object is used for reading a file in HDFS? A. open() B. access() C. select() D. None of the above defines? 5. How many states does Writable interface defines? A. Two B. Four C. Three D. None of the above Answers: 1 (B), 2 (B), 3 (C), 4 (A), 5 (A) www.vskills.in