Click the link below to get more detail

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Click the link below to get more detail"

Transcription

1 Click the link below to get more detail

2 ExamCode: Apache-Hadoop-Developer ExamName: Hadoop 2.0 Certification exam for Pig and Hive Developer Vendor Name: Hortonworks Edition = DEMO Question: 1 Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and monitoring application resource usage? A. ResourceManager B. NodeManager C. ApplicationMaster D. ApplicationMasterService E. TaskTracker F. JobTracker Reference: Apache Hadoop YARN - Concepts & Applications Question: 2 Answer: B You want to run Hadoop jobs on your development workstation for testing before you submit them to your production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production cluster while using a single machine? A. Run all the nodes in your production cluster as virtual machines on your development workstation. B. Run the hadoop command with the -jt local and the -fs file:///options. C. Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine. D. Run simldooop, the Apache open-source software for simulating Hadoop clusters. Question: 3 Answer: C

3 You have the following key-value pairs as output from your Map task: (the, 1) (fox, 1) (faster, 1) (than, 1) (the, 1) (dog, 1) How many keys will be passed to the Reducer's reduce method? A. Six B. Five C. Four D. Two E. One F. Three Answer: B Only one key value pair will be passed from the two (the, 1) key value pairs. Question: 4 Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write access to hundreds of terabytes of data? A. HBase B. Hue C. Pig D. Hive E. Oozie F. Flume G. Sqoop Answer: A Use Apache HBase when you need random, realtime read/write access to your Big Data. Note: This project's goal is the hosting of very large tables -- billions of rows X millions of columns - - atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google's Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS. Features Linear and modular scalability. Strictly consistent reads and writes. Automatic and configurable sharding of tables Automatic failover support between RegionServers. Convenient base classes for backing Hadoop MapReduce jobs with Apache HBase tables. Easy to use Java API for client access. Block cache and Bloom Filters for real-time queries. Query predicate push down via server side Filters Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding

4 options Extensible jruby-based (JIRB) shell Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX Reference: (when would I use HBase? First sentence) Question: 5 Which one of the following statements describes a Pig bag. tuple, and map, respectively? A. Unordered collection of maps, ordered collection of tuples, ordered set of key/value pairs B. Unordered collection of tuples, ordered set of fields, set of key value pairs C. Ordered set of fields, ordered collection of tuples, ordered collection of maps D. Ordered collection of maps, ordered collection of bags, and unordered set of key/value pairs Question: 6 Answer: B Which HDFS command copies an HDFS file named foo to the local filesystem as localfoo? A. hadoop fs -get foo LocalFoo B. hadoop -cp foo LocalFoo C. hadoop fs -Is foo D. hadoop fs -put foo LocalFoo Question: 7 Answer: A You are developing a MapReduce job for sales reporting. The mapper will process input keys representing the year (IntWritable) and input values representing product indentifies (Text). Indentify what determines the data types used by the Mapper for a given job. A. The key and value types specified in the JobConf.setMapInputKeyClass and JobConf.setMapInputValuesClass methods B. The data types specified in HADOOP_MAP_DATATYPES environment variable C. The mapper-specification.xml file submitted with the job determine the mapper's input key and value types. D. The InputFormat used by the job determines the mapper's input key and value types. Answer: D

5 The input types fed to the mapper are controlled by the InputFormat used. The default input format, "TextInputFormat," will load data in as (LongWritable, Text) pairs. The long value is the byte offset of the line in the file. The Text object holds the string contents of the line of the file. Note: The data types emitted by the reducer are identified by setoutputkeyclass() andsetoutputvalueclass(). The data types emitted by the reducer are identified by setoutputkeyclass() and setoutputvalueclass(). By default, it is assumed that these are the output types of the mapper as well. If this is not the case, the methods setmapoutputkeyclass() and setmapoutputvalueclass() methods of the JobConf class will override these. Reference: Yahoo! Hadoop Tutorial, THE DRIVER METHOD Question: 8 All keys used for intermediate output from mappers must: A. Implement a splittable compression algorithm. B. Be a subclass of FileInputFormat. C. Implement WritableComparable. D. Override issplitable. E. Implement a comparator for speedy sorting. Answer: C The MapReduce framework operates exclusively on <key, value> pairs, that is, the framework views the input to the job as a set of <key, value> pairs and produces a set of <key, value> pairs as the output of the job, conceivably of different types. The key and value classes have to be serializable by the framework and hence need to implement the Writable interface. Additionally, the key classes have to implement the WritableComparable interface to facilitate sorting by the framework. Reference: MapReduce Tutorial Question: 9 Review the following data and Pig code:

6 What command to define B would produce the output (M,62,95l02) when invoking the DUMP operator on B? A. B = FILTER A BY (zip = = '95102' AND gender = = M"); B. B= FOREACH A BY (gender = = 'M' AND zip = = '95102'); C. B = JOIN A BY (gender = = 'M' AND zip = = '95102'); D. B= GROUP A BY (zip = = '95102' AND gender = = 'M'); Question: 10 Answer: A Assuming the following Hive query executes successfully: Which one of the following statements describes the result set? A. A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input data A1 table. B. An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table. C. A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of the inputdata table. D. A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column of the inputdata table. Answer: D

7 Powered by TCPDF ( Click the link below to get more details FEATURES: 100% Pass Guarantee 30 DaysMoney Back Guarantee 24/7 Live Chat Support(Technical & Sales) Instant Download or Attachment 50,000 +ve Reviews 100% Success Rate Discounts Available for Bulk Orders 9 P age

Cloudera Certified Developer for Apache Hadoop

Cloudera Certified Developer for Apache Hadoop Cloudera CCD-333 Cloudera Certified Developer for Apache Hadoop Version: 5.6 QUESTION NO: 1 Cloudera CCD-333 Exam What is a SequenceFile? A. A SequenceFile contains a binary encoding of an arbitrary number

More information

Hortonworks Exam Hortonworks-Certified-Apache-Hadoop-2.0- Developer Hadoop 2.0 Certification exam for Pig and Hive Developer Version: 7.

Hortonworks Exam Hortonworks-Certified-Apache-Hadoop-2.0- Developer Hadoop 2.0 Certification exam for Pig and Hive Developer Version: 7. s@lm@n Hortonworks Exam Hortonworks-Certified-Apache-Hadoop-2.0- Developer Hadoop 2.0 Certification exam for Pig and Hive Developer Version: 7.0 [ Total Questions: 108 ] Question No : 1 What does the following

More information

CCD-333 Exam Questions Demo Cloudera. Exam Questions CCD-333. Cloudera Certified Developer for Apache Hadoop

CCD-333 Exam Questions Demo  Cloudera. Exam Questions CCD-333. Cloudera Certified Developer for Apache Hadoop Cloudera Exam Questions CCD-333 Cloudera Certified Developer for Apache Hadoop Version:Demo 1.What is a SequenceFile? A. ASequenceFilecontains a binaryencoding ofan arbitrary numberof homogeneous writable

More information

PASS4TEST. IT Certification Guaranteed, The Easy Way! We offer free update service for one year

PASS4TEST. IT Certification Guaranteed, The Easy Way!  We offer free update service for one year PASS4TEST IT Certification Guaranteed, The Easy Way! \ http://www.pass4test.com We offer free update service for one year Exam : CCD-410 Title : Cloudera Certified Developer for Apache Hadoop (CCDH) Vendor

More information

Cloudera Certified Developer for Apache Hadoop

Cloudera Certified Developer for Apache Hadoop http://www.51- pass.com Exam : CCD-333 Title : Cloudera Certified Developer for Apache Hadoop Version : Demo 1 / 4 1.What is a SequenceFile? A. ASequenceFilecontains a binaryencoding ofan arbitrary numberof

More information

Qsoft Inc www.qsoft-inc.com

Qsoft Inc www.qsoft-inc.com Big Data & Hadoop Qsoft Inc www.qsoft-inc.com Course Topics 1 2 3 4 5 6 Week 1: Introduction to Big Data, Hadoop Architecture and HDFS Week 2: Setting up Hadoop Cluster Week 3: MapReduce Part 1 Week 4:

More information

CCD-470 V8.02_formatted

CCD-470 V8.02_formatted CCD-470 V8.02_formatted Number: 000-000 Passing Score: 800 Time Limit: 120 min File Version: 1.0 http://www.gratisexam.com/ Exam : CCD-470 Title : Cloudera Certified Developer for Apache Hadoop CDH4 Upgrade

More information

Programming Hadoop 5-day, instructor-led BD-106. MapReduce Overview. Hadoop Overview

Programming Hadoop 5-day, instructor-led BD-106. MapReduce Overview. Hadoop Overview Programming Hadoop 5-day, instructor-led BD-106 MapReduce Overview The Client Server Processing Pattern Distributed Computing Challenges MapReduce Defined Google's MapReduce The Map Phase of MapReduce

More information

Internals of Hadoop Application Framework and Distributed File System

Internals of Hadoop Application Framework and Distributed File System International Journal of Scientific and Research Publications, Volume 5, Issue 7, July 2015 1 Internals of Hadoop Application Framework and Distributed File System Saminath.V, Sangeetha.M.S Abstract- Hadoop

More information

Getting to know Apache Hadoop

Getting to know Apache Hadoop Getting to know Apache Hadoop Oana Denisa Balalau Télécom ParisTech October 13, 2015 1 / 32 Table of Contents 1 Apache Hadoop 2 The Hadoop Distributed File System(HDFS) 3 Application management in the

More information

Complete Java Classes Hadoop Syllabus Contact No: 8888022204

Complete Java Classes Hadoop Syllabus Contact No: 8888022204 1) Introduction to BigData & Hadoop What is Big Data? Why all industries are talking about Big Data? What are the issues in Big Data? Storage What are the challenges for storing big data? Processing What

More information

Map Reduce & Hadoop Recommended Text:

Map Reduce & Hadoop Recommended Text: Big Data Map Reduce & Hadoop Recommended Text:! Large datasets are becoming more common The New York Stock Exchange generates about one terabyte of new trade data per day. Facebook hosts approximately

More information

Hadoop Ecosystem Overview. CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook

Hadoop Ecosystem Overview. CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook Hadoop Ecosystem Overview CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook Agenda Introduce Hadoop projects to prepare you for your group work Intimate detail will be provided in future

More information

Overview. Big Data in Apache Hadoop. - HDFS - MapReduce in Hadoop - YARN. https://hadoop.apache.org. Big Data Management and Analytics

Overview. Big Data in Apache Hadoop. - HDFS - MapReduce in Hadoop - YARN. https://hadoop.apache.org. Big Data Management and Analytics Overview Big Data in Apache Hadoop - HDFS - MapReduce in Hadoop - YARN https://hadoop.apache.org 138 Apache Hadoop - Historical Background - 2003: Google publishes its cluster architecture & DFS (GFS)

More information

Hadoop vs Apache Spark

Hadoop vs Apache Spark Innovate, Integrate, Transform Hadoop vs Apache Spark www.altencalsoftlabs.com Introduction Any sufficiently advanced technology is indistinguishable from magic. said Arthur C. Clark. Big data technologies

More information

International Journal of Advancements in Research & Technology, Volume 3, Issue 2, February-2014 10 ISSN 2278-7763

International Journal of Advancements in Research & Technology, Volume 3, Issue 2, February-2014 10 ISSN 2278-7763 International Journal of Advancements in Research & Technology, Volume 3, Issue 2, February-2014 10 A Discussion on Testing Hadoop Applications Sevuga Perumal Chidambaram ABSTRACT The purpose of analysing

More information

CURSO: DESARROLLADOR PARA APACHE HADOOP

CURSO: DESARROLLADOR PARA APACHE HADOOP CURSO: DESARROLLADOR PARA APACHE HADOOP TEST DE EJEMPLO DEL EXÁMEN DE CERTIFICACIÓN www.formacionhadoop.com 1 Question: 1 When is the earliest point at which the reduce method of a given Reducer can be

More information

Peers Techno log ies Pv t. L td. HADOOP

Peers Techno log ies Pv t. L td. HADOOP Page 1 Peers Techno log ies Pv t. L td. Course Brochure Overview Hadoop is a Open Source from Apache, which provides reliable storage and faster process by using the Hadoop distibution file system and

More information

Session: Big Data get familiar with Hadoop to use your unstructured data Udo Brede Dell Software. 22 nd October 2013 10:00 Sesión B - DB2 LUW

Session: Big Data get familiar with Hadoop to use your unstructured data Udo Brede Dell Software. 22 nd October 2013 10:00 Sesión B - DB2 LUW Session: Big Data get familiar with Hadoop to use your unstructured data Udo Brede Dell Software 22 nd October 2013 10:00 Sesión B - DB2 LUW 1 Agenda Big Data The Technical Challenges Architecture of Hadoop

More information

Big Data With Hadoop

Big Data With Hadoop With Saurabh Singh singh.903@osu.edu The Ohio State University February 11, 2016 Overview 1 2 3 Requirements Ecosystem Resilient Distributed Datasets (RDDs) Example Code vs Mapreduce 4 5 Source: [Tutorials

More information

CSE 590: Special Topics Course ( Supercomputing ) Lecture 10 ( MapReduce& Hadoop)

CSE 590: Special Topics Course ( Supercomputing ) Lecture 10 ( MapReduce& Hadoop) CSE 590: Special Topics Course ( Supercomputing ) Lecture 10 ( MapReduce& Hadoop) Rezaul A. Chowdhury Department of Computer Science SUNY Stony Brook Spring 2016 MapReduce MapReduce is a programming model

More information

Lecture 32 Big Data. 1. Big Data problem 2. Why the excitement about big data 3. What is MapReduce 4. What is Hadoop 5. Get started with Hadoop

Lecture 32 Big Data. 1. Big Data problem 2. Why the excitement about big data 3. What is MapReduce 4. What is Hadoop 5. Get started with Hadoop Lecture 32 Big Data 1. Big Data problem 2. Why the excitement about big data 3. What is MapReduce 4. What is Hadoop 5. Get started with Hadoop 1 2 Big Data Problems Data explosion Data from users on social

More information

ITG Software Engineering

ITG Software Engineering Introduction to Apache Hadoop Course ID: Page 1 Last Updated 12/15/2014 Introduction to Apache Hadoop Course Overview: This 5 day course introduces the student to the Hadoop architecture, file system,

More information

MapReduce. Tushar B. Kute, http://tusharkute.com

MapReduce. Tushar B. Kute, http://tusharkute.com MapReduce Tushar B. Kute, http://tusharkute.com What is MapReduce? MapReduce is a framework using which we can write applications to process huge amounts of data, in parallel, on large clusters of commodity

More information

Xiaoming Gao Hui Li Thilina Gunarathne

Xiaoming Gao Hui Li Thilina Gunarathne Xiaoming Gao Hui Li Thilina Gunarathne Outline HBase and Bigtable Storage HBase Use Cases HBase vs RDBMS Hands-on: Load CSV file to Hbase table with MapReduce Motivation Lots of Semi structured data Horizontal

More information

Infomatics. Big-Data and Hadoop Developer Training with Oracle WDP

Infomatics. Big-Data and Hadoop Developer Training with Oracle WDP Big-Data and Hadoop Developer Training with Oracle WDP What is this course about? Big Data is a collection of large and complex data sets that cannot be processed using regular database management tools

More information

Hadoop Ecosystem B Y R A H I M A.

Hadoop Ecosystem B Y R A H I M A. Hadoop Ecosystem B Y R A H I M A. History of Hadoop Hadoop was created by Doug Cutting, the creator of Apache Lucene, the widely used text search library. Hadoop has its origins in Apache Nutch, an open

More information

PassTest. Bessere Qualität, bessere Dienstleistungen!

PassTest. Bessere Qualität, bessere Dienstleistungen! PassTest Bessere Qualität, bessere Dienstleistungen! Q&A Exam : CCD-410 Title : Cloudera Certified Developer for Apache Hadoop (CCDH) Version : DEMO 1 / 4 1.When is the earliest point at which the reduce

More information

Hadoop Certification (Developer, Administrator HBase & Data Science) CCD-410, CCA-410 and CCB-400 and DS-200

Hadoop Certification (Developer, Administrator HBase & Data Science) CCD-410, CCA-410 and CCB-400 and DS-200 Hadoop Learning Resources 1 Hadoop Certification (Developer, Administrator HBase & Data Science) CCD-410, CCA-410 and CCB-400 and DS-200 Author: Hadoop Learning Resource Hadoop Training in Just $60/3000INR

More information

Introduction to Hadoop and MapReduce

Introduction to Hadoop and MapReduce Introduction to Hadoop and MapReduce THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION Large-scale Computation Traditional solutions for computing large quantities of data

More information

Job Oriented Instructor Led Face2Face True Live Online I.T. Training for Everyone Worldwide

Job Oriented Instructor Led Face2Face True Live Online I.T. Training for Everyone Worldwide H2kInfosys H2K Infosys provides online IT training and placement services worldwide. www.h2kinfosys.com USA- +1-(770)-777-1269, UK (020) 33717615 Training@H2KINFOSYS.com / H2KInfosys@gmail.com DISCLAIMER

More information

Weekly Report. Hadoop Introduction. submitted By Anurag Sharma. Department of Computer Science and Engineering. Indian Institute of Technology Bombay

Weekly Report. Hadoop Introduction. submitted By Anurag Sharma. Department of Computer Science and Engineering. Indian Institute of Technology Bombay Weekly Report Hadoop Introduction submitted By Anurag Sharma Department of Computer Science and Engineering Indian Institute of Technology Bombay Chapter 1 What is Hadoop? Apache Hadoop (High-availability

More information

Hadoop. History and Introduction. Explained By Vaibhav Agarwal

Hadoop. History and Introduction. Explained By Vaibhav Agarwal Hadoop History and Introduction Explained By Vaibhav Agarwal Agenda Architecture HDFS Data Flow Map Reduce Data Flow Hadoop Versions History Hadoop version 2 Hadoop Architecture HADOOP (HDFS) Data Flow

More information

Introduction to Cloud Computing

Introduction to Cloud Computing Introduction to Cloud Computing MapReduce and Hadoop 15 319, spring 2010 17 th Lecture, Mar 16 th Majd F. Sakr Lecture Goals Transition to MapReduce from Functional Programming Understand the origins of

More information

Open source large scale distributed data management with Google s MapReduce and Bigtable

Open source large scale distributed data management with Google s MapReduce and Bigtable Open source large scale distributed data management with Google s MapReduce and Bigtable Ioannis Konstantinou Email: ikons@cslab.ece.ntua.gr Web: http://www.cslab.ntua.gr/~ikons Computing Systems Laboratory

More information

Communicating with the Elephant in the Data Center

Communicating with the Elephant in the Data Center Communicating with the Elephant in the Data Center Who am I? Instructor Consultant Opensource Advocate http://www.laubersoltions.com sml@laubersolutions.com Twitter: @laubersm Freenode: laubersm Outline

More information

Big Data Too Big To Ignore

Big Data Too Big To Ignore Big Data Too Big To Ignore Geert! Big Data Consultant and Manager! Currently finishing a 3 rd Big Data project! IBM & Cloudera Certified! IBM & Microsoft Big Data Partner 2 Agenda! Defining Big Data! Introduction

More information

INTRODUCTION TO APACHE HADOOP MATTHIAS BRÄGER CERN GS-ASE

INTRODUCTION TO APACHE HADOOP MATTHIAS BRÄGER CERN GS-ASE INTRODUCTION TO APACHE HADOOP MATTHIAS BRÄGER CERN GS-ASE AGENDA Introduction to Big Data Introduction to Hadoop HDFS file system Map/Reduce framework Hadoop utilities Summary BIG DATA FACTS In what timeframe

More information

Introduction to Hadoop HDFS and Ecosystems. Slides credits: Cloudera Academic Partners Program & Prof. De Liu, MSBA 6330 Harvesting Big Data

Introduction to Hadoop HDFS and Ecosystems. Slides credits: Cloudera Academic Partners Program & Prof. De Liu, MSBA 6330 Harvesting Big Data Introduction to Hadoop HDFS and Ecosystems ANSHUL MITTAL Slides credits: Cloudera Academic Partners Program & Prof. De Liu, MSBA 6330 Harvesting Big Data Topics The goal of this presentation is to give

More information

Open source software framework designed for storage and processing of large scale data on clusters of commodity hardware

Open source software framework designed for storage and processing of large scale data on clusters of commodity hardware Open source software framework designed for storage and processing of large scale data on clusters of commodity hardware Created by Doug Cutting and Mike Carafella in 2005. Cutting named the program after

More information

A very short Intro to Hadoop

A very short Intro to Hadoop 4 Overview A very short Intro to Hadoop photo by: exfordy, flickr 5 How to Crunch a Petabyte? Lots of disks, spinning all the time Redundancy, since disks die Lots of CPU cores, working all the time Retry,

More information

Hadoop: A Framework for Data- Intensive Distributed Computing. CS561-Spring 2012 WPI, Mohamed Y. Eltabakh

Hadoop: A Framework for Data- Intensive Distributed Computing. CS561-Spring 2012 WPI, Mohamed Y. Eltabakh 1 Hadoop: A Framework for Data- Intensive Distributed Computing CS561-Spring 2012 WPI, Mohamed Y. Eltabakh 2 What is Hadoop? Hadoop is a software framework for distributed processing of large datasets

More information

HADOOP ADMINISTATION AND DEVELOPMENT TRAINING CURRICULUM

HADOOP ADMINISTATION AND DEVELOPMENT TRAINING CURRICULUM HADOOP ADMINISTATION AND DEVELOPMENT TRAINING CURRICULUM 1. Introduction 1.1 Big Data Introduction What is Big Data Data Analytics Bigdata Challenges Technologies supported by big data 1.2 Hadoop Introduction

More information

Big Data and Hadoop. Module 1: Introduction to Big Data and Hadoop. Module 2: Hadoop Distributed File System. Module 3: MapReduce

Big Data and Hadoop. Module 1: Introduction to Big Data and Hadoop. Module 2: Hadoop Distributed File System. Module 3: MapReduce Big Data and Hadoop Module 1: Introduction to Big Data and Hadoop Learn about Big Data and the shortcomings of the prevailing solutions for Big Data issues. You will also get to know, how Hadoop eradicates

More information

Open source Google-style large scale data analysis with Hadoop

Open source Google-style large scale data analysis with Hadoop Open source Google-style large scale data analysis with Hadoop Ioannis Konstantinou Email: ikons@cslab.ece.ntua.gr Web: http://www.cslab.ntua.gr/~ikons Computing Systems Laboratory School of Electrical

More information

Workshop on Hadoop with Big Data

Workshop on Hadoop with Big Data Workshop on Hadoop with Big Data Hadoop? Apache Hadoop is an open source framework for distributed storage and processing of large sets of data on commodity hardware. Hadoop enables businesses to quickly

More information

Hadoop Job Oriented Training Agenda

Hadoop Job Oriented Training Agenda 1 Hadoop Job Oriented Training Agenda Kapil CK hdpguru@gmail.com Module 1 M o d u l e 1 Understanding Hadoop This module covers an overview of big data, Hadoop, and the Hortonworks Data Platform. 1.1 Module

More information

COURSE CONTENT Big Data and Hadoop Training

COURSE CONTENT Big Data and Hadoop Training COURSE CONTENT Big Data and Hadoop Training 1. Meet Hadoop Data! Data Storage and Analysis Comparison with Other Systems RDBMS Grid Computing Volunteer Computing A Brief History of Hadoop Apache Hadoop

More information

CURSO: ADMINISTRADOR PARA APACHE HADOOP

CURSO: ADMINISTRADOR PARA APACHE HADOOP CURSO: ADMINISTRADOR PARA APACHE HADOOP TEST DE EJEMPLO DEL EXÁMEN DE CERTIFICACIÓN www.formacionhadoop.com 1 Question: 1 A developer has submitted a long running MapReduce job with wrong data sets. You

More information

Hadoop Introduction. Olivier Renault Solution Engineer - Hortonworks

Hadoop Introduction. Olivier Renault Solution Engineer - Hortonworks Hadoop Introduction Olivier Renault Solution Engineer - Hortonworks Hortonworks A Brief History of Apache Hadoop Apache Project Established Yahoo! begins to Operate at scale Hortonworks Data Platform 2013

More information

Introduction to Hadoop. New York Oracle User Group Vikas Sawhney

Introduction to Hadoop. New York Oracle User Group Vikas Sawhney Introduction to Hadoop New York Oracle User Group Vikas Sawhney GENERAL AGENDA Driving Factors behind BIG-DATA NOSQL Database 2014 Database Landscape Hadoop Architecture Map/Reduce Hadoop Eco-system Hadoop

More information

Introduction to Big data. Why Big data? Case Studies. Introduction to Hadoop. Understanding Features of Hadoop. Hadoop Architecture.

Introduction to Big data. Why Big data? Case Studies. Introduction to Hadoop. Understanding Features of Hadoop. Hadoop Architecture. Big Data Hadoop Administration and Developer Course This course is designed to understand and implement the concepts of Big data and Hadoop. This will cover right from setting up Hadoop environment in

More information

Extreme Computing. Hadoop MapReduce in more detail. www.inf.ed.ac.uk

Extreme Computing. Hadoop MapReduce in more detail. www.inf.ed.ac.uk Extreme Computing Hadoop MapReduce in more detail How will I actually learn Hadoop? This class session Hadoop: The Definitive Guide RTFM There is a lot of material out there There is also a lot of useless

More information

Hadoop IST 734 SS CHUNG

Hadoop IST 734 SS CHUNG Hadoop IST 734 SS CHUNG Introduction What is Big Data?? Bulk Amount Unstructured Lots of Applications which need to handle huge amount of data (in terms of 500+ TB per day) If a regular machine need to

More information

White Paper: What You Need To Know About Hadoop

White Paper: What You Need To Know About Hadoop CTOlabs.com White Paper: What You Need To Know About Hadoop June 2011 A White Paper providing succinct information for the enterprise technologist. Inside: What is Hadoop, really? Issues the Hadoop stack

More information

Tutorial: Big Data Algorithms and Applications Under Hadoop KUNPENG ZHANG SIDDHARTHA BHATTACHARYYA

Tutorial: Big Data Algorithms and Applications Under Hadoop KUNPENG ZHANG SIDDHARTHA BHATTACHARYYA Tutorial: Big Data Algorithms and Applications Under Hadoop KUNPENG ZHANG SIDDHARTHA BHATTACHARYYA http://kzhang6.people.uic.edu/tutorial/amcis2014.html August 7, 2014 Schedule I. Introduction to big data

More information

HADOOP. Revised 10/19/2015

HADOOP. Revised 10/19/2015 HADOOP Revised 10/19/2015 This Page Intentionally Left Blank Table of Contents Hortonworks HDP Developer: Java... 1 Hortonworks HDP Developer: Apache Pig and Hive... 2 Hortonworks HDP Developer: Windows...

More information

Pivotal HD Enterprise

Pivotal HD Enterprise PRODUCT DOCUMENTATION Pivotal HD Enterprise Version 1.1 Stack and Tool Reference Guide Rev: A01 2013 GoPivotal, Inc. Table of Contents 1 Pivotal HD 1.1 Stack - RPM Package 11 1.1 Overview 11 1.2 Accessing

More information

ACKNOWLEDGEMENTS... XIII PART I SETTING THE STAGE...1

ACKNOWLEDGEMENTS... XIII PART I SETTING THE STAGE...1 Table of Contents PREFACE... IX WHY THIS BOOK... IX WHOM THIS BOOK IS FOR...X HOW THIS BOOK IS ORGANIZED...X SOFTWARE AND HARDWARE...X HOW TO USE THIS BOOK... XI TYPOGRAPHIC CONVENTIONS... XI HOW TO REACH

More information

Hadoop implementation of MapReduce computational model. Ján Vaňo

Hadoop implementation of MapReduce computational model. Ján Vaňo Hadoop implementation of MapReduce computational model Ján Vaňo What is MapReduce? A computational model published in a paper by Google in 2004 Based on distributed computation Complements Google s distributed

More information

Certified Big Data and Apache Hadoop Developer VS-1221

Certified Big Data and Apache Hadoop Developer VS-1221 Certified Big Data and Apache Hadoop Developer VS-1221 Certified Big Data and Apache Hadoop Developer Certification Code VS-1221 Vskills certification for Big Data and Apache Hadoop Developer Certification

More information

Big Data Management and NoSQL Databases

Big Data Management and NoSQL Databases NDBI040 Big Data Management and NoSQL Databases Lecture 3. Apache Hadoop Doc. RNDr. Irena Holubova, Ph.D. holubova@ksi.mff.cuni.cz http://www.ksi.mff.cuni.cz/~holubova/ndbi040/ Apache Hadoop Open-source

More information

brief contents PART 1 BACKGROUND AND FUNDAMENTALS...1 PART 2 PART 3 BIG DATA PATTERNS...253 PART 4 BEYOND MAPREDUCE...385

brief contents PART 1 BACKGROUND AND FUNDAMENTALS...1 PART 2 PART 3 BIG DATA PATTERNS...253 PART 4 BEYOND MAPREDUCE...385 brief contents PART 1 BACKGROUND AND FUNDAMENTALS...1 1 Hadoop in a heartbeat 3 2 Introduction to YARN 22 PART 2 DATA LOGISTICS...59 3 Data serialization working with text and beyond 61 4 Organizing and

More information

Apache HBase. Crazy dances on the elephant back

Apache HBase. Crazy dances on the elephant back Apache HBase Crazy dances on the elephant back Roman Nikitchenko, 16.10.2014 YARN 2 FIRST EVER DATA OS 10.000 nodes computer Recent technology changes are focused on higher scale. Better resource usage

More information

Processing of massive data: MapReduce. 2. Hadoop. New Trends In Distributed Systems MSc Software and Systems

Processing of massive data: MapReduce. 2. Hadoop. New Trends In Distributed Systems MSc Software and Systems Processing of massive data: MapReduce 2. Hadoop 1 MapReduce Implementations Google were the first that applied MapReduce for big data analysis Their idea was introduced in their seminal paper MapReduce:

More information

Programming with Hadoop. 2009 Cloudera, Inc.

Programming with Hadoop. 2009 Cloudera, Inc. Programming with Hadoop Overview How to use Hadoop Hadoop MapReduce Hadoop Streaming Some MapReduce Terminology Job A full program - an execution of a Mapper and Reducer across a data set Task An execution

More information

t] open source Hadoop Beginner's Guide ij$ data avalanche Garry Turkington Learn how to crunch big data to extract meaning from

t] open source Hadoop Beginner's Guide ij$ data avalanche Garry Turkington Learn how to crunch big data to extract meaning from Hadoop Beginner's Guide Learn how to crunch big data to extract meaning from data avalanche Garry Turkington [ PUBLISHING t] open source I I community experience distilled ftu\ ij$ BIRMINGHAMMUMBAI ')

More information

BIG DATA HADOOP TRAINING

BIG DATA HADOOP TRAINING BIG DATA HADOOP TRAINING DURATION 40hrs AVAILABLE BATCHES WEEKDAYS (7.00AM TO 8.30AM) & WEEKENDS (10AM TO 1PM) MODE OF TRAINING AVAILABLE ONLINE INSTRUCTOR LED CLASSROOM TRAINING (MARATHAHALLI, BANGALORE)

More information

E6893 Big Data Analytics: Demo Session for HW I. Ruichi Yu, Shuguan Yang, Jen-Chieh Huang Meng-Yi Hsu, Weizhen Wang, Lin Haung.

E6893 Big Data Analytics: Demo Session for HW I. Ruichi Yu, Shuguan Yang, Jen-Chieh Huang Meng-Yi Hsu, Weizhen Wang, Lin Haung. E6893 Big Data Analytics: Demo Session for HW I Ruichi Yu, Shuguan Yang, Jen-Chieh Huang Meng-Yi Hsu, Weizhen Wang, Lin Haung 1 Oct 2, 2014 2 Part I: Pig installation and Demo Pig is a platform for analyzing

More information

White Paper: Hadoop for Intelligence Analysis

White Paper: Hadoop for Intelligence Analysis CTOlabs.com White Paper: Hadoop for Intelligence Analysis July 2011 A White Paper providing context, tips and use cases on the topic of analysis over large quantities of data. Inside: Apache Hadoop and

More information

Hadoop. Apache Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware.

Hadoop. Apache Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. Hadoop Source Alessandro Rezzani, Big Data - Architettura, tecnologie e metodi per l utilizzo di grandi basi di dati, Apogeo Education, ottobre 2013 wikipedia Hadoop Apache Hadoop is an open-source software

More information

L1: Introduction to Hadoop Hadoop

L1: Introduction to Hadoop Hadoop L1: Introduction to Hadoop Hadoop Feng Li feng.li@cufe.edu.cn School of Statistics and Mathematics Central University of Finance and Economics Revised on November 30, 2016 Today we are going to learn...

More information

BIG DATA - HADOOP PROFESSIONAL amron

BIG DATA - HADOOP PROFESSIONAL amron 0 Training Details Course Duration: 30-35 hours training + assignments + actual project based case studies Training Materials: All attendees will receive: Assignment after each module, video recording

More information

Hadoop WordCount Explained! IT332 Distributed Systems

Hadoop WordCount Explained! IT332 Distributed Systems Hadoop WordCount Explained! IT332 Distributed Systems Typical problem solved by MapReduce Read a lot of data Map: extract something you care about from each record Shuffle and Sort Reduce: aggregate, summarize,

More information

Hadoop/MapReduce. Object-oriented framework presentation CSCI 5448 Casey McTaggart

Hadoop/MapReduce. Object-oriented framework presentation CSCI 5448 Casey McTaggart Hadoop/MapReduce Object-oriented framework presentation CSCI 5448 Casey McTaggart What is Apache Hadoop? Large scale, open source software framework Yahoo! has been the largest contributor to date Dedicated

More information

Lecture 3 Hadoop Technical Introduction CSE 490H

Lecture 3 Hadoop Technical Introduction CSE 490H Lecture 3 Hadoop Technical Introduction CSE 490H Announcements My office hours: M 2:30 3:30 in CSE 212 Cluster is operational; instructions in assignment 1 heavily rewritten Eclipse plugin is deprecated

More information

Chapter 7. Using Hadoop Cluster and MapReduce

Chapter 7. Using Hadoop Cluster and MapReduce Chapter 7 Using Hadoop Cluster and MapReduce Modeling and Prototyping of RMS for QoS Oriented Grid Page 152 7. Using Hadoop Cluster and MapReduce for Big Data Problems The size of the databases used in

More information

Hadoop Interview Questions Version 2.0.0 Author: Hadoop Learning Resource

Hadoop Interview Questions Version 2.0.0 Author: Hadoop Learning Resource 1 Hadoop Interview Questions Version 2.0.0 Author: Hadoop Learning Resource 2 Hadoop Certification Exam Simulator + Study Material o Contains 4 practice Question Paper o 200 realistic Hadoop Developer

More information

Introduction to Big Data Training

Introduction to Big Data Training Introduction to Big Data Training The quickest way to be introduce with NOSQL/BIG DATA offerings Learn and experience Big Data Solutions including Hadoop HDFS, Map Reduce, NoSQL DBs: Document Based DB

More information

L1: Introduction to Hadoop

L1: Introduction to Hadoop L1: Introduction to Hadoop Feng Li feng.li@cufe.edu.cn School of Statistics and Mathematics Central University of Finance and Economics Revision: December 1, 2014 Today we are going to learn... 1 General

More information

III Big Data Technologies

III Big Data Technologies III Big Data Technologies Today, new technologies make it possible to realize value from Big Data. Big data technologies can replace highly customized, expensive legacy systems with a standard solution

More information

MapReduce. Course NDBI040: Big Data Management and NoSQL Databases. Practice 01: Martin Svoboda

MapReduce. Course NDBI040: Big Data Management and NoSQL Databases. Practice 01: Martin Svoboda Course NDBI040: Big Data Management and NoSQL Databases Practice 01: MapReduce Martin Svoboda Faculty of Mathematics and Physics, Charles University in Prague MapReduce: Overview MapReduce Programming

More information

Lecture 10: HBase! Claudia Hauff (Web Information Systems)! ti2736b-ewi@tudelft.nl

Lecture 10: HBase! Claudia Hauff (Web Information Systems)! ti2736b-ewi@tudelft.nl Big Data Processing, 2014/15 Lecture 10: HBase!! Claudia Hauff (Web Information Systems)! ti2736b-ewi@tudelft.nl 1 Course content Introduction Data streams 1 & 2 The MapReduce paradigm Looking behind the

More information

Chapter 11 Map-Reduce, Hadoop, HDFS, Hbase, MongoDB, Apache HIVE, and Related

Chapter 11 Map-Reduce, Hadoop, HDFS, Hbase, MongoDB, Apache HIVE, and Related Chapter 11 Map-Reduce, Hadoop, HDFS, Hbase, MongoDB, Apache HIVE, and Related Summary Xiangzhe Li Nowadays, there are more and more data everyday about everything. For instance, here are some of the astonishing

More information

Pro Apache Hadoop. Second Edition. Sameer Wadkar. Madhu Siddalingaiah

Pro Apache Hadoop. Second Edition. Sameer Wadkar. Madhu Siddalingaiah Pro Apache Hadoop Second Edition Sameer Wadkar Madhu Siddalingaiah Contents J About the Authors About the Technical Reviewer Acknowledgments Introduction xix xxi xxiii xxv Chapter 1: Motivation for Big

More information

DATA MINING WITH HADOOP AND HIVE Introduction to Architecture

DATA MINING WITH HADOOP AND HIVE Introduction to Architecture DATA MINING WITH HADOOP AND HIVE Introduction to Architecture Dr. Wlodek Zadrozny (Most slides come from Prof. Akella s class in 2014) 2015-2025. Reproduction or usage prohibited without permission of

More information

BIG DATA TECHNOLOGY. Hadoop Ecosystem

BIG DATA TECHNOLOGY. Hadoop Ecosystem BIG DATA TECHNOLOGY Hadoop Ecosystem Agenda Background What is Big Data Solution Objective Introduction to Hadoop Hadoop Ecosystem Hybrid EDW Model Predictive Analysis using Hadoop Conclusion What is Big

More information

Hadoop: The Definitive Guide

Hadoop: The Definitive Guide FOURTH EDITION Hadoop: The Definitive Guide Tom White Beijing Cambridge Famham Koln Sebastopol Tokyo O'REILLY Table of Contents Foreword Preface xvii xix Part I. Hadoop Fundamentals 1. Meet Hadoop 3 Data!

More information

HADOOP MOCK TEST HADOOP MOCK TEST II

HADOOP MOCK TEST HADOOP MOCK TEST II http://www.tutorialspoint.com HADOOP MOCK TEST Copyright tutorialspoint.com This section presents you various set of Mock Tests related to Hadoop Framework. You can download these sample mock tests at

More information

Firebird meets NoSQL (Apache HBase) Case Study

Firebird meets NoSQL (Apache HBase) Case Study Firebird meets NoSQL (Apache HBase) Case Study Firebird Conference 2011 Luxembourg 25.11.2011 26.11.2011 Thomas Steinmaurer DI +43 7236 3343 896 thomas.steinmaurer@scch.at www.scch.at Michael Zwick DI

More information

H2O on Hadoop. September 30, 2014. www.0xdata.com

H2O on Hadoop. September 30, 2014. www.0xdata.com H2O on Hadoop September 30, 2014 www.0xdata.com H2O on Hadoop Introduction H2O is the open source math & machine learning engine for big data that brings distribution and parallelism to powerful algorithms

More information

Hadoop 只 支 援 用 Java 開 發 嘛? Is Hadoop only support Java? 總 不 能 全 部 都 重 新 設 計 吧? 如 何 與 舊 系 統 相 容? Can Hadoop work with existing software?

Hadoop 只 支 援 用 Java 開 發 嘛? Is Hadoop only support Java? 總 不 能 全 部 都 重 新 設 計 吧? 如 何 與 舊 系 統 相 容? Can Hadoop work with existing software? Hadoop 只 支 援 用 Java 開 發 嘛? Is Hadoop only support Java? 總 不 能 全 部 都 重 新 設 計 吧? 如 何 與 舊 系 統 相 容? Can Hadoop work with existing software? 可 以 跟 資 料 庫 結 合 嘛? Can Hadoop work with Databases? 開 發 者 們 有 聽 到

More information

Getting Started with Hadoop. Raanan Dagan Paul Tibaldi

Getting Started with Hadoop. Raanan Dagan Paul Tibaldi Getting Started with Hadoop Raanan Dagan Paul Tibaldi What is Apache Hadoop? Hadoop is a platform for data storage and processing that is Scalable Fault tolerant Open source CORE HADOOP COMPONENTS Hadoop

More information

Big Data Technology Core Hadoop: HDFS-YARN Internals

Big Data Technology Core Hadoop: HDFS-YARN Internals Big Data Technology Core Hadoop: HDFS-YARN Internals Eshcar Hillel Yahoo! Ronny Lempel Outbrain *Based on slides by Edward Bortnikov & Ronny Lempel Roadmap Previous class Map-Reduce Motivation This class

More information

Click Stream Data Analysis Using Hadoop

Click Stream Data Analysis Using Hadoop Governors State University OPUS Open Portal to University Scholarship Capstone Projects Spring 2015 Click Stream Data Analysis Using Hadoop Krishna Chand Reddy Gaddam Governors State University Sivakrishna

More information

ITG Software Engineering

ITG Software Engineering Introduction to Cloudera Course ID: Page 1 Last Updated 12/15/2014 Introduction to Cloudera Course : This 5 day course introduces the student to the Hadoop architecture, file system, and the Hadoop Ecosystem.

More information

Deploying Hadoop with Manager

Deploying Hadoop with Manager Deploying Hadoop with Manager SUSE Big Data Made Easier Peter Linnell / Sales Engineer plinnell@suse.com Alejandro Bonilla / Sales Engineer abonilla@suse.com 2 Hadoop Core Components 3 Typical Hadoop Distribution

More information

Data-Intensive Programming. Timo Aaltonen Department of Pervasive Computing

Data-Intensive Programming. Timo Aaltonen Department of Pervasive Computing Data-Intensive Programming Timo Aaltonen Department of Pervasive Computing Data-Intensive Programming Lecturer: Timo Aaltonen University Lecturer timo.aaltonen@tut.fi Assistants: Henri Terho and Antti

More information

A bit about Hadoop. Luca Pireddu. March 9, 2012. CRS4Distributed Computing Group. luca.pireddu@crs4.it (CRS4) Luca Pireddu March 9, 2012 1 / 18

A bit about Hadoop. Luca Pireddu. March 9, 2012. CRS4Distributed Computing Group. luca.pireddu@crs4.it (CRS4) Luca Pireddu March 9, 2012 1 / 18 A bit about Hadoop Luca Pireddu CRS4Distributed Computing Group March 9, 2012 luca.pireddu@crs4.it (CRS4) Luca Pireddu March 9, 2012 1 / 18 Often seen problems Often seen problems Low parallelism I/O is

More information

A. Aiken & K. Olukotun PA3

A. Aiken & K. Olukotun PA3 Programming Assignment #3 Hadoop N-Gram Due Tue, Feb 18, 11:59PM In this programming assignment you will use Hadoop s implementation of MapReduce to search Wikipedia. This is not a course in search, so

More information