DHANALAKSHMI COLLEGE OF ENGINEERING, CHENNAI
|
|
- Solomon Chapman
- 5 years ago
- Views:
Transcription
1 DHANALAKSHMI COLLEGE OF ENGINEERING, CHENNAI Department of Information Technology IT INFORMATION MANAGEMENT Anna University 2 & 16 Mark Questions & Answers Year / Semester: IV / VII Regulation: 2013 Academic year:
2 UNIT I PART-A 1. What is a data model? List the types of data model used. A database model is the theoretical foundation of a database and fundamentally determines in whichmanner data can be stored, organized, and manipulated in a database system. It thereby defines the infrastructure offered by a particular database system. The most popularexample of a database model is the relational model. Types of data model used Hierarchical model Network model Relational model Entity-relationship Object-relational model Object model 2. Define database management system? List some applications of DBMS. Database Management System (DBMS) is a collection of interrelated data and a set of programs to accessthose data. Banking Airlines Universities Credit card transactions Tele communication Finance Sales Manufacturing Human resources 3. Give the levels of data abstraction? Physical level Logical level View level 4. Define data model? A data model is a collection of conceptual tools for describing data, data relationships, data semantics andconsistency constraints.
3 5. What is an entity relationship model? The entity relationship model is a collection of basic objects called entities and relationship among thoseobjects. An entity is a thing or object in the real world that is distinguishable from other objects. 6. What are attributes and relationship? Give examples. An entity is represented by a set of attributes. Attributes are descriptive properties possessed by each member of an entity set. Example: possible attributes of customer entity are customer name, customer id, Customer Street,customer city. A relationship is an association among several entities. Example: A depositor relationship associates a customer with each account that he/she has. 7. Define single valued and multivalued attributes. Single valued Attributes: attributes with a single value for a particular entity are called singlevalued attributes. Multivalued Attributes: Attributes with a set of value for a particular entity are called multivaluedattributes. 8. What is meant by normalization of data? It is a process of analyzing the given relation schemas based on their Functional Dependencies (FDs) andprimary key to achieve the properties Minimizing redundancy Minimizing insertion Deletion and updating anomalies 9. Define - Entity set and Relationship set. Entity set: The set of all entities of the same type is termed as an entity set. Relationship set: The set of all relationships of the same type is termed as a relationship set. 10. What are stored, derived, composite attributes? Stored attributes: The attributes stored in a data base are called stored attributes.
4 Derived attributes: The attributes that are derived from the stored attributes are called derivedattributes. For example: The Age attribute derived from DOB attribute. 11. Define - null values. In some cases a particular entity may not have an applicable value for an attribute or if we do not know thevalue of an attribute for a particular entity. In these cases null value is used. 12. What is meant by the degree of relationship set? The degree of relationship type is the number of participating entity types. 13. Define - Weak and Strong Entity Sets Weak entity set: entity set that do not have key attribute of their own are called weak entity sets. Strong entity set: Entity set that has a primary key is termed a strong entity set. 14. What does the cardinality ratio specify? Mapping cardinalities or cardinality ratios express the number of entities to which another entity canbe associated. Mapping cardinalities must be one of the following: One to one One to many Many to one Many to many 15. What are the two types of participation constraint? Total: The participation of an entity set E in a relationship set R is said to be total if every entity in Eparticipates in at least one relationship in R. Partial: if only some entities in E participate in relationships in R, the participation of entity set E inrelationship R is said to be partial.
5 16. What is a candidate key and primary key? Minimal super keys are called candidate keys. Primary key is chosen by the database designer as the principal means of identifying an entity in theentity set. 17. Define -Business Rules. Business rules are an excellent tools to document the various aspects of business domain. For example: A student is evaluated for a course through combination of theory and practicalexaminations. 18. What is JDBC? List of JDBC drivers. Java Database Connectivity (JDBC) is an application programming interface (API) for the programminglanguage Java, which defines how a client may access a database. It is part of the Java Standard Editionplatform, from Oracle Corporation. Type 1 - JDBC-ODBC Bridge Driver. Type 2 - Java Native Driver. Type 3 - Java Network Protocol Driver. Type 4 - Pure Java Driver. 19. What are the steps involved to access the database using JDBC? Register the JDBC Driver Creating database connection Executing queries Processing the results Closing the database connection. 20. What are three classes of statements using to execute queries in java? Statement Prepared Statement Callable Statement 21. What is stored procedure? In a database management system (DBMS), a stored procedure is a set of Structured Query Language (SQL) statements with an assigned name that's stored in the database in compiled form so that it can beshared by a number of programs.
6 The use of stored procedures can be helpful in controlling access to data, preserving data integrity and improving productivity. 22. What do the four V s of Big Data denote? IBM has a nice, simple explanation for the four critical features of big data: Volume Scale of data Velocity Analysis of streaming data Variety Different forms of data 23. List out the companies that use Hadoop. Yahoo (One of the biggest user & more than 80% code contributor to Hadoop)\ Facebook Netflix Amazon Adobe ebay Twitter 24. Distinguish between Structured and Unstructured data. Data which can be stored in traditional database systems in the form of rows and columns, forexample the online purchase transactions can be referred to as Structured Data. Data which can be stored only partially in traditional database systems, for example, data in XMLrecords can be referred to as Semi Structured Data. Unorganized and raw data that cannot be categorized as semi structured or structured data isreferred to as unstructured data. Facebook updates, Tweets on Twitter, Reviews, web logs, etc. are all examples of unstructured data. 25. What concept the Hadoop framework works? Hadoop Framework works on the following two core components- HDFS Hadoop Distributed File System: It is the java based file system for scalable and reliablestorage of large datasets. Data in HDFS is stored in the form of blocks and it operates on the MasterSlave Architecture. HadoopMapReduce: This is a java based programming paradigm of Hadoop framework thatprovides scalability across various Hadoop clusters.
7 26. What are the main components of a Hadoop Application? Hadoop applications have wide range of technologies that provide great advantage in solving complexbusiness problems. Core components of a Hadoop application are- Hadoop Common HDFS HadoopMapReduce YARN Data Access Components are - Pig and Hive Data Storage Component is Hbase Data Integration Components are - Apache Flume, Sqoop. Data Management and Monitoring Components are - Ambari, Oozie and Zookeeper. Data Serialization Components are - Thrift and Avr Data Intelligence Components are - Apache Mahout and Drill. 27. Whenever a client submits a hadoop job, who receives it? NameNode receives the Hadoop job which then looks for the data requested by the client andprovides the block information. JobTracker takes care of resource allocation of the hadoop job to ensure timely completion. 28. What is partitioning, shuffle and sort phase. Shuffle Phase: Once the first map tasks are completed, the nodes continue to perform several other map tasksand also exchange the intermediate outputs with the reducers as required. This process of moving theintermediate outputs of map tasks to the reducer is referred to as Shuffling. Sort Phase: HadoopMapReduce automatically sorts the set of intermediate keys on a single node before theyare given as input to the reducer. Partitioning Phase: The process that determines which intermediate keys and value will be received by eachreducer instance is referred to as partitioning. The destination partition is same for any key irrespective of themapper instance that generated it. 29. Distinguish between HBase and Hive. HBase and Hive both are completely different hadoop based technologies- Hive is a data warehouse infrastructure on top of Hadoop, whereas HBase is a NoSQL key value storethat runs on top of Hadoop.
8 Hive helps SQL savvy people to run MapReduce jobs whereas HBase supports 4 primary operationsput,get, scan and delete. HBase is ideal for real time querying of big data where Hive is an ideal choice for analytical querying ofdata collected over period of time. 30. Distinguish between Hadoop 1.x and Hadoop 2.x In Hadoop 1.x, MapReduce is responsible for both processing and cluster management whereas inhadoop 2.x processing is taken care of by other processing models and YARN is responsible for clustermanagement. Hadoop 2.x scales better when compared to Hadoop 1.x with close to nodes per cluster. Hadoop 1.x has single point of failure problem and whenever the NameNode fails it has to be recoveredmanually. However, in case of Hadoop 2.x StandByNameNode overcomes the problem and wheneverthe NameNode fails it is configured for automatic recovery. PART B 1. Describe about Database Design and Database Modelling. 2. Explain detail about normalization with suitable examples. 3. Explain about JDBC Drivers, and how to access their database? 4. Explain Hadoop Eco systems. 5. Write short notes of following YARN NoSQL Hive
The Hadoop Ecosystem. EECS 4415 Big Data Systems. Tilemachos Pechlivanoglou
The Hadoop Ecosystem EECS 4415 Big Data Systems Tilemachos Pechlivanoglou tipech@eecs.yorku.ca A lot of tools designed to work with Hadoop 2 HDFS, MapReduce Hadoop Distributed File System Core Hadoop component
More informationBig Data Hadoop Stack
Big Data Hadoop Stack Lecture #1 Hadoop Beginnings What is Hadoop? Apache Hadoop is an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware
More informationDelving Deep into Hadoop Course Contents Introduction to Hadoop and Architecture
Delving Deep into Hadoop Course Contents Introduction to Hadoop and Architecture Hadoop 1.0 Architecture Introduction to Hadoop & Big Data Hadoop Evolution Hadoop Architecture Networking Concepts Use cases
More informationBig Data Hadoop Developer Course Content. Big Data Hadoop Developer - The Complete Course Course Duration: 45 Hours
Big Data Hadoop Developer Course Content Who is the target audience? Big Data Hadoop Developer - The Complete Course Course Duration: 45 Hours Complete beginners who want to learn Big Data Hadoop Professionals
More informationInnovatus Technologies
HADOOP 2.X BIGDATA ANALYTICS 1. Java Overview of Java Classes and Objects Garbage Collection and Modifiers Inheritance, Aggregation, Polymorphism Command line argument Abstract class and Interfaces String
More informationHadoop An Overview. - Socrates CCDH
Hadoop An Overview - Socrates CCDH What is Big Data? Volume Not Gigabyte. Terabyte, Petabyte, Exabyte, Zettabyte - Due to handheld gadgets,and HD format images and videos - In total data, 90% of them collected
More informationHadoop. Introduction / Overview
Hadoop Introduction / Overview Preface We will use these PowerPoint slides to guide us through our topic. Expect 15 minute segments of lecture Expect 1-4 hour lab segments Expect minimal pretty pictures
More informationIntroduction to BigData, Hadoop:-
Introduction to BigData, Hadoop:- Big Data Introduction: Hadoop Introduction What is Hadoop? Why Hadoop? Hadoop History. Different types of Components in Hadoop? HDFS, MapReduce, PIG, Hive, SQOOP, HBASE,
More informationHadoop Online Training
Hadoop Online Training IQ training facility offers Hadoop Online Training. Our Hadoop trainers come with vast work experience and teaching skills. Our Hadoop training online is regarded as the one of the
More informationWe are ready to serve Latest Testing Trends, Are you ready to learn?? New Batches Info
We are ready to serve Latest Testing Trends, Are you ready to learn?? New Batches Info START DATE : TIMINGS : DURATION : TYPE OF BATCH : FEE : FACULTY NAME : LAB TIMINGS : PH NO: 9963799240, 040-40025423
More informationGain Insights From Unstructured Data Using Pivotal HD. Copyright 2013 EMC Corporation. All rights reserved.
Gain Insights From Unstructured Data Using Pivotal HD 1 Traditional Enterprise Analytics Process 2 The Fundamental Paradigm Shift Internet age and exploding data growth Enterprises leverage new data sources
More informationBig Data Architect.
Big Data Architect www.austech.edu.au WHAT IS BIG DATA ARCHITECT? A big data architecture is designed to handle the ingestion, processing, and analysis of data that is too large or complex for traditional
More informationCertified Big Data and Hadoop Course Curriculum
Certified Big Data and Hadoop Course Curriculum The Certified Big Data and Hadoop course by DataFlair is a perfect blend of in-depth theoretical knowledge and strong practical skills via implementation
More informationBig Data and Hadoop. Course Curriculum: Your 10 Module Learning Plan. About Edureka
Course Curriculum: Your 10 Module Learning Plan Big Data and Hadoop About Edureka Edureka is a leading e-learning platform providing live instructor-led interactive online training. We cater to professionals
More informationBig Data Analytics using Apache Hadoop and Spark with Scala
Big Data Analytics using Apache Hadoop and Spark with Scala Training Highlights : 80% of the training is with Practical Demo (On Custom Cloudera and Ubuntu Machines) 20% Theory Portion will be important
More informationConfiguring and Deploying Hadoop Cluster Deployment Templates
Configuring and Deploying Hadoop Cluster Deployment Templates This chapter contains the following sections: Hadoop Cluster Profile Templates, on page 1 Creating a Hadoop Cluster Profile Template, on page
More informationTopics. Big Data Analytics What is and Why Hadoop? Comparison to other technologies Hadoop architecture Hadoop ecosystem Hadoop usage examples
Hadoop Introduction 1 Topics Big Data Analytics What is and Why Hadoop? Comparison to other technologies Hadoop architecture Hadoop ecosystem Hadoop usage examples 2 Big Data Analytics What is Big Data?
More information50 Must Read Hadoop Interview Questions & Answers
50 Must Read Hadoop Interview Questions & Answers Whizlabs Dec 29th, 2017 Big Data Are you planning to land a job with big data and data analytics? Are you worried about cracking the Hadoop job interview?
More informationMicrosoft Big Data and Hadoop
Microsoft Big Data and Hadoop Lara Rubbelke @sqlgal Cindy Gross @sqlcindy 2 The world of data is changing The 4Vs of Big Data http://nosql.mypopescu.com/post/9621746531/a-definition-of-big-data 3 Common
More informationmicrosoft
70-775.microsoft Number: 70-775 Passing Score: 800 Time Limit: 120 min Exam A QUESTION 1 Note: This question is part of a series of questions that present the same scenario. Each question in the series
More informationThings Every Oracle DBA Needs to Know about the Hadoop Ecosystem. Zohar Elkayam
Things Every Oracle DBA Needs to Know about the Hadoop Ecosystem Zohar Elkayam www.realdbamagic.com Twitter: @realmgic Who am I? Zohar Elkayam, CTO at Brillix Programmer, DBA, team leader, database trainer,
More informationExam Questions
Exam Questions 70-775 Perform Data Engineering on Microsoft Azure HDInsight (beta) https://www.2passeasy.com/dumps/70-775/ NEW QUESTION 1 You are implementing a batch processing solution by using Azure
More informationBig Data with Hadoop Ecosystem
Diógenes Pires Big Data with Hadoop Ecosystem Hands-on (HBase, MySql and Hive + Power BI) Internet Live http://www.internetlivestats.com/ Introduction Business Intelligence Business Intelligence Process
More informationHadoop. copyright 2011 Trainologic LTD
Hadoop Hadoop is a framework for processing large amounts of data in a distributed manner. It can scale up to thousands of machines. It provides high-availability. Provides map-reduce functionality. Hides
More informationA Review Paper on Big data & Hadoop
A Review Paper on Big data & Hadoop Rupali Jagadale MCA Department, Modern College of Engg. Modern College of Engginering Pune,India rupalijagadale02@gmail.com Pratibha Adkar MCA Department, Modern College
More informationBig Data Syllabus. Understanding big data and Hadoop. Limitations and Solutions of existing Data Analytics Architecture
Big Data Syllabus Hadoop YARN Setup Programming in YARN framework j Understanding big data and Hadoop Big Data Limitations and Solutions of existing Data Analytics Architecture Hadoop Features Hadoop Ecosystem
More informationBIG DATA ANALYTICS USING HADOOP TOOLS APACHE HIVE VS APACHE PIG
BIG DATA ANALYTICS USING HADOOP TOOLS APACHE HIVE VS APACHE PIG Prof R.Angelin Preethi #1 and Prof J.Elavarasi *2 # Department of Computer Science, Kamban College of Arts and Science for Women, TamilNadu,
More informationexam. Microsoft Perform Data Engineering on Microsoft Azure HDInsight. Version 1.0
70-775.exam Number: 70-775 Passing Score: 800 Time Limit: 120 min File Version: 1.0 Microsoft 70-775 Perform Data Engineering on Microsoft Azure HDInsight Version 1.0 Exam A QUESTION 1 You use YARN to
More informationHadoop Development Introduction
Hadoop Development Introduction What is Bigdata? Evolution of Bigdata Types of Data and their Significance Need for Bigdata Analytics Why Bigdata with Hadoop? History of Hadoop Why Hadoop is in demand
More informationCertified Big Data Hadoop and Spark Scala Course Curriculum
Certified Big Data Hadoop and Spark Scala Course Curriculum The Certified Big Data Hadoop and Spark Scala course by DataFlair is a perfect blend of indepth theoretical knowledge and strong practical skills
More informationBig Data Analytics. Description:
Big Data Analytics Description: With the advance of IT storage, pcoressing, computation, and sensing technologies, Big Data has become a novel norm of life. Only until recently, computers are able to capture
More informationCERTIFICATE IN SOFTWARE DEVELOPMENT LIFE CYCLE IN BIG DATA AND BUSINESS INTELLIGENCE (SDLC-BD & BI)
CERTIFICATE IN SOFTWARE DEVELOPMENT LIFE CYCLE IN BIG DATA AND BUSINESS INTELLIGENCE (SDLC-BD & BI) The Certificate in Software Development Life Cycle in BIGDATA, Business Intelligence and Tableau program
More informationBig Data Hadoop Course Content
Big Data Hadoop Course Content Topics covered in the training Introduction to Linux and Big Data Virtual Machine ( VM) Introduction/ Installation of VirtualBox and the Big Data VM Introduction to Linux
More informationHadoop. Course Duration: 25 days (60 hours duration). Bigdata Fundamentals. Day1: (2hours)
Bigdata Fundamentals Day1: (2hours) 1. Understanding BigData. a. What is Big Data? b. Big-Data characteristics. c. Challenges with the traditional Data Base Systems and Distributed Systems. 2. Distributions:
More informationIntroduction to Hadoop. High Availability Scaling Advantages and Challenges. Introduction to Big Data
Introduction to Hadoop High Availability Scaling Advantages and Challenges Introduction to Big Data What is Big data Big Data opportunities Big Data Challenges Characteristics of Big data Introduction
More informationDatabases 2 (VU) ( / )
Databases 2 (VU) (706.711 / 707.030) MapReduce (Part 3) Mark Kröll ISDS, TU Graz Nov. 27, 2017 Mark Kröll (ISDS, TU Graz) MapReduce Nov. 27, 2017 1 / 42 Outline 1 Problems Suited for Map-Reduce 2 MapReduce:
More informationHadoop 2.x Core: YARN, Tez, and Spark. Hortonworks Inc All Rights Reserved
Hadoop 2.x Core: YARN, Tez, and Spark YARN Hadoop Machine Types top-of-rack switches core switch client machines have client-side software used to access a cluster to process data master nodes run Hadoop
More informationHadoop. Introduction to BIGDATA and HADOOP
Hadoop Introduction to BIGDATA and HADOOP What is Big Data? What is Hadoop? Relation between Big Data and Hadoop What is the need of going ahead with Hadoop? Scenarios to apt Hadoop Technology in REAL
More informationOverview. : Cloudera Data Analyst Training. Course Outline :: Cloudera Data Analyst Training::
Module Title Duration : Cloudera Data Analyst Training : 4 days Overview Take your knowledge to the next level Cloudera University s four-day data analyst training course will teach you to apply traditional
More information0. Database Systems 1.1 Introduction to DBMS Information is one of the most valuable resources in this information age! How do we effectively and efficiently manage this information? - How does Wal-Mart
More informationHADOOP FRAMEWORK FOR BIG DATA
HADOOP FRAMEWORK FOR BIG DATA Mr K. Srinivas Babu 1,Dr K. Rameshwaraiah 2 1 Research Scholar S V University, Tirupathi 2 Professor and Head NNRESGI, Hyderabad Abstract - Data has to be stored for further
More informationExpert Lecture plan proposal Hadoop& itsapplication
Expert Lecture plan proposal Hadoop& itsapplication STARTING UP WITH BIG Introduction to BIG Data Use cases of Big Data The Big data core components Knowing the requirements, knowledge on Analyst job profile
More informationCISC 7610 Lecture 2b The beginnings of NoSQL
CISC 7610 Lecture 2b The beginnings of NoSQL Topics: Big Data Google s infrastructure Hadoop: open google infrastructure Scaling through sharding CAP theorem Amazon s Dynamo 5 V s of big data Everyone
More informationNew Approaches to Big Data Processing and Analytics
New Approaches to Big Data Processing and Analytics Contributing authors: David Floyer, David Vellante Original publication date: February 12, 2013 There are number of approaches to processing and analyzing
More informationSQT03 Big Data and Hadoop with Azure HDInsight Andrew Brust. Senior Director, Technical Product Marketing and Evangelism
Big Data and Hadoop with Azure HDInsight Andrew Brust Senior Director, Technical Product Marketing and Evangelism Datameer Level: Intermediate Meet Andrew Senior Director, Technical Product Marketing and
More informationBlended Learning Outline: Cloudera Data Analyst Training (171219a)
Blended Learning Outline: Cloudera Data Analyst Training (171219a) Cloudera Univeristy s data analyst training course will teach you to apply traditional data analytics and business intelligence skills
More informationHow Apache Hadoop Complements Existing BI Systems. Dr. Amr Awadallah Founder, CTO Cloudera,
How Apache Hadoop Complements Existing BI Systems Dr. Amr Awadallah Founder, CTO Cloudera, Inc. Twitter: @awadallah, @cloudera 2 The Problems with Current Data Systems BI Reports + Interactive Apps RDBMS
More informationMapReduce, Hadoop and Spark. Bompotas Agorakis
MapReduce, Hadoop and Spark Bompotas Agorakis Big Data Processing Most of the computations are conceptually straightforward on a single machine but the volume of data is HUGE Need to use many (1.000s)
More informationStages of Data Processing
Data processing can be understood as the conversion of raw data into a meaningful and desired form. Basically, producing information that can be understood by the end user. So then, the question arises,
More informationMicrosoft. Exam Questions Perform Data Engineering on Microsoft Azure HDInsight (beta) Version:Demo
Microsoft Exam Questions 70-775 Perform Data Engineering on Microsoft Azure HDInsight (beta) Version:Demo NEW QUESTION 1 HOTSPOT You install the Microsoft Hive ODBC Driver on a computer that runs Windows
More informationInternational Journal of Advance Engineering and Research Development. A Study: Hadoop Framework
Scientific Journal of Impact Factor (SJIF): e-issn (O): 2348- International Journal of Advance Engineering and Research Development Volume 3, Issue 2, February -2016 A Study: Hadoop Framework Devateja
More informationMODERN BIG DATA DESIGN PATTERNS CASE DRIVEN DESINGS
MODERN BIG DATA DESIGN PATTERNS CASE DRIVEN DESINGS SUJEE MANIYAM FOUNDER / PRINCIPAL @ ELEPHANT SCALE www.elephantscale.com sujee@elephantscale.com HI, I M SUJEE MANIYAM Founder / Principal @ ElephantScale
More informationIntroduction to HDFS and MapReduce
Introduction to HDFS and MapReduce Who Am I - Ryan Tabora - Data Developer at Think Big Analytics - Big Data Consulting - Experience working with Hadoop, HBase, Hive, Solr, Cassandra, etc. 2 Who Am I -
More information1. Considering functional dependency, one in which removal from some attributes must affect dependency is called
Q.1 Short Questions Marks 1. Considering functional dependency, one in which removal from some attributes must affect dependency is called 01 A. full functional dependency B. partial dependency C. prime
More informationWebinar Series TMIP VISION
Webinar Series TMIP VISION TMIP provides technical support and promotes knowledge and information exchange in the transportation planning and modeling community. Today s Goals To Consider: Parallel Processing
More informationA Glimpse of the Hadoop Echosystem
A Glimpse of the Hadoop Echosystem 1 Hadoop Echosystem A cluster is shared among several users in an organization Different services HDFS and MapReduce provide the lower layers of the infrastructures Other
More informationTechno Expert Solutions An institute for specialized studies!
Course Content of Big Data Hadoop( Intermediate+ Advance) Pre-requistes: knowledge of Core Java/ Oracle: Basic of Unix S.no Topics Date Status Introduction to Big Data & Hadoop Importance of Data& Data
More informationBig Data com Hadoop. VIII Sessão - SQL Bahia. Impala, Hive e Spark. Diógenes Pires 03/03/2018
Big Data com Hadoop Impala, Hive e Spark VIII Sessão - SQL Bahia 03/03/2018 Diógenes Pires Connect with PASS Sign up for a free membership today at: pass.org #sqlpass Internet Live http://www.internetlivestats.com/
More informationParallel Programming Principle and Practice. Lecture 10 Big Data Processing with MapReduce
Parallel Programming Principle and Practice Lecture 10 Big Data Processing with MapReduce Outline MapReduce Programming Model MapReduce Examples Hadoop 2 Incredible Things That Happen Every Minute On The
More informationLecture 7 (03/12, 03/14): Hive and Impala Decisions, Operations & Information Technologies Robert H. Smith School of Business Spring, 2018
Lecture 7 (03/12, 03/14): Hive and Impala Decisions, Operations & Information Technologies Robert H. Smith School of Business Spring, 2018 K. Zhang (pic source: mapr.com/blog) Copyright BUDT 2016 758 Where
More information1Z Oracle Big Data 2017 Implementation Essentials Exam Summary Syllabus Questions
1Z0-449 Oracle Big Data 2017 Implementation Essentials Exam Summary Syllabus Questions Table of Contents Introduction to 1Z0-449 Exam on Oracle Big Data 2017 Implementation Essentials... 2 Oracle 1Z0-449
More informationCloud Computing 2. CSCI 4850/5850 High-Performance Computing Spring 2018
Cloud Computing 2 CSCI 4850/5850 High-Performance Computing Spring 2018 Tae-Hyuk (Ted) Ahn Department of Computer Science Program of Bioinformatics and Computational Biology Saint Louis University Learning
More informationA Review Approach for Big Data and Hadoop Technology
International Journal of Modern Trends in Engineering and Research www.ijmter.com e-issn No.:2349-9745, Date: 2-4 July, 2015 A Review Approach for Big Data and Hadoop Technology Prof. Ghanshyam Dhomse
More informationPerformance Comparison of Hive, Pig & Map Reduce over Variety of Big Data
Performance Comparison of Hive, Pig & Map Reduce over Variety of Big Data Yojna Arora, Dinesh Goyal Abstract: Big Data refers to that huge amount of data which cannot be analyzed by using traditional analytics
More informationHortonworks Data Platform
Hortonworks Data Platform Workflow Management (August 31, 2017) docs.hortonworks.com Hortonworks Data Platform: Workflow Management Copyright 2012-2017 Hortonworks, Inc. Some rights reserved. The Hortonworks
More informationCmprssd Intrduction To
Cmprssd Intrduction To Hadoop, SQL-on-Hadoop, NoSQL Arseny.Chernov@Dell.com Singapore University of Technology & Design 2016-11-09 @arsenyspb Thank You For Inviting! My special kind regards to: Professor
More informationWhat is the maximum file size you have dealt so far? Movies/Files/Streaming video that you have used? What have you observed?
Simple to start What is the maximum file size you have dealt so far? Movies/Files/Streaming video that you have used? What have you observed? What is the maximum download speed you get? Simple computation
More informationdocs.hortonworks.com
docs.hortonworks.com : Getting Started Guide Copyright 2012, 2014 Hortonworks, Inc. Some rights reserved. The, powered by Apache Hadoop, is a massively scalable and 100% open source platform for storing,
More informationHadoop is supplemented by an ecosystem of open source projects IBM Corporation. How to Analyze Large Data Sets in Hadoop
Hadoop Open Source Projects Hadoop is supplemented by an ecosystem of open source projects Oozie 25 How to Analyze Large Data Sets in Hadoop Although the Hadoop framework is implemented in Java, MapReduce
More informationChase Wu New Jersey Institute of Technology
CS 644: Introduction to Big Data Chapter 4. Big Data Analytics Platforms Chase Wu New Jersey Institute of Technology Some of the slides were provided through the courtesy of Dr. Ching-Yung Lin at Columbia
More informationExamTorrent. Best exam torrent, excellent test torrent, valid exam dumps are here waiting for you
ExamTorrent http://www.examtorrent.com Best exam torrent, excellent test torrent, valid exam dumps are here waiting for you Exam : Apache-Hadoop-Developer Title : Hadoop 2.0 Certification exam for Pig
More informationBig Data. Big Data Analyst. Big Data Engineer. Big Data Architect
Big Data Big Data Analyst INTRODUCTION TO BIG DATA ANALYTICS ANALYTICS PROCESSING TECHNIQUES DATA TRANSFORMATION & BATCH PROCESSING REAL TIME (STREAM) DATA PROCESSING Big Data Engineer BIG DATA FOUNDATION
More informationOnline Bill Processing System for Public Sectors in Big Data
IJIRST International Journal for Innovative Research in Science & Technology Volume 4 Issue 10 March 2018 ISSN (online): 2349-6010 Online Bill Processing System for Public Sectors in Big Data H. Anwer
More informationImporting and Exporting Data Between Hadoop and MySQL
Importing and Exporting Data Between Hadoop and MySQL + 1 About me Sarah Sproehnle Former MySQL instructor Joined Cloudera in March 2010 sarah@cloudera.com 2 What is Hadoop? An open-source framework for
More informationBuilding an Integrated Big Data & Analytics Infrastructure September 25, 2012 Robert Stackowiak, Vice President Data Systems Architecture Oracle
Building an Integrated Big Data & Analytics Infrastructure September 25, 2012 Robert Stackowiak, Vice President Data Systems Architecture Oracle Enterprise Solutions Group The following is intended to
More informationHadoop & Big Data Analytics Complete Practical & Real-time Training
An ISO Certified Training Institute A Unit of Sequelgate Innovative Technologies Pvt. Ltd. www.sqlschool.com Hadoop & Big Data Analytics Complete Practical & Real-time Training Mode : Instructor Led LIVE
More informationHadoop course content
course content COURSE DETAILS 1. In-detail explanation on the concepts of HDFS & MapReduce frameworks 2. What is 2.X Architecture & How to set up Cluster 3. How to write complex MapReduce Programs 4. In-detail
More informationHADOOP COURSE CONTENT (HADOOP-1.X, 2.X & 3.X) (Development, Administration & REAL TIME Projects Implementation)
HADOOP COURSE CONTENT (HADOOP-1.X, 2.X & 3.X) (Development, Administration & REAL TIME Projects Implementation) Introduction to BIGDATA and HADOOP What is Big Data? What is Hadoop? Relation between Big
More informationDepartment of Information Technology, St. Joseph s College (Autonomous), Trichy, TamilNadu, India
International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2018 IJSRCSEIT Volume 3 Issue 5 ISSN : 2456-3307 A Survey on Big Data and Hadoop Ecosystem Components
More informationB.H.GARDI COLLEGE OF MASTER OF COMPUTER APPLICATION. Ch. 1 :- Introduction Database Management System - 1
Basic Concepts :- 1. What is Data? Data is a collection of facts from which conclusion may be drawn. In computer science, data is anything in a form suitable for use with a computer. Data is often distinguished
More informationData Storage Infrastructure at Facebook
Data Storage Infrastructure at Facebook Spring 2018 Cleveland State University CIS 601 Presentation Yi Dong Instructor: Dr. Chung Outline Strategy of data storage, processing, and log collection Data flow
More informationCopyright 2012, Oracle and/or its affiliates. All rights reserved.
1 Big Data Connectors: High Performance Integration for Hadoop and Oracle Database Melli Annamalai Sue Mavris Rob Abbott 2 Program Agenda Big Data Connectors: Brief Overview Connecting Hadoop with Oracle
More informationIntroduction to Big-Data
Introduction to Big-Data Ms.N.D.Sonwane 1, Mr.S.P.Taley 2 1 Assistant Professor, Computer Science & Engineering, DBACER, Maharashtra, India 2 Assistant Professor, Information Technology, DBACER, Maharashtra,
More informationMapR Enterprise Hadoop
2014 MapR Technologies 2014 MapR Technologies 1 MapR Enterprise Hadoop Top Ranked Cloud Leaders 500+ Customers 2014 MapR Technologies 2 Key MapR Advantage Partners Business Services APPLICATIONS & OS ANALYTICS
More informationBig Data Technology Ecosystem. Mark Burnette Pentaho Director Sales Engineering, Hitachi Vantara
Big Data Technology Ecosystem Mark Burnette Pentaho Director Sales Engineering, Hitachi Vantara Agenda End-to-End Data Delivery Platform Ecosystem of Data Technologies Mapping an End-to-End Solution Case
More information<Insert Picture Here> Introduction to Big Data Technology
Introduction to Big Data Technology The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into
More informationQuestion: 1 You need to place the results of a PigLatin script into an HDFS output directory. What is the correct syntax in Apache Pig?
Volume: 72 Questions Question: 1 You need to place the results of a PigLatin script into an HDFS output directory. What is the correct syntax in Apache Pig? A. update hdfs set D as./output ; B. store D
More informationMI-PDB, MIE-PDB: Advanced Database Systems
MI-PDB, MIE-PDB: Advanced Database Systems http://www.ksi.mff.cuni.cz/~svoboda/courses/2015-2-mie-pdb/ Lecture 10: MapReduce, Hadoop 26. 4. 2016 Lecturer: Martin Svoboda svoboda@ksi.mff.cuni.cz Author:
More informationHadoop, Yarn and Beyond
Hadoop, Yarn and Beyond 1 B. R A M A M U R T H Y Overview We learned about Hadoop1.x or the core. Just like Java evolved, Java core, Java 1.X, Java 2.. So on, software and systems evolve, naturally.. Lets
More informationHDInsight > Hadoop. October 12, 2017
HDInsight > Hadoop October 12, 2017 2 Introduction Mark Hudson >20 years mixing technology with data >10 years with CapTech Microsoft Certified IT Professional Business Intelligence Member of the Richmond
More informationTimeline Dec 2004: Dean/Ghemawat (Google) MapReduce paper 2005: Doug Cutting and Mike Cafarella (Yahoo) create Hadoop, at first only to extend Nutch (
HADOOP Lecture 5 Timeline Dec 2004: Dean/Ghemawat (Google) MapReduce paper 2005: Doug Cutting and Mike Cafarella (Yahoo) create Hadoop, at first only to extend Nutch (the name is derived from Doug s son
More informationIntroduction to Hadoop and MapReduce
Introduction to Hadoop and MapReduce Antonino Virgillito THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION Large-scale Computation Traditional solutions for computing large
More informationHadoop-PR Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer)
Hortonworks Hadoop-PR000007 Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer) http://killexams.com/pass4sure/exam-detail/hadoop-pr000007 QUESTION: 99 Which one of the following
More informationSTATS Data Analysis using Python. Lecture 7: the MapReduce framework Some slides adapted from C. Budak and R. Burns
STATS 700-002 Data Analysis using Python Lecture 7: the MapReduce framework Some slides adapted from C. Budak and R. Burns Unit 3: parallel processing and big data The next few lectures will focus on big
More informationSouth Asian Journal of Engineering and Technology Vol.2, No.50 (2016) 5 10
ISSN Number (online): 2454-9614 Weather Data Analytics using Hadoop Components like MapReduce, Pig and Hive Sireesha. M 1, Tirumala Rao. S. N 2 Department of CSE, Narasaraopeta Engineering College, Narasaraopet,
More informationApril Final Quiz COSC MapReduce Programming a) Explain briefly the main ideas and components of the MapReduce programming model.
1. MapReduce Programming a) Explain briefly the main ideas and components of the MapReduce programming model. MapReduce is a framework for processing big data which processes data in two phases, a Map
More informationHadoop Overview. Lars George Director EMEA Services
Hadoop Overview Lars George Director EMEA Services 1 About Me Director EMEA Services @ Cloudera Consulting on Hadoop projects (everywhere) Apache Committer HBase and Whirr O Reilly Author HBase The Definitive
More informationBIS Database Management Systems.
BIS 512 - Database Management Systems http://www.mis.boun.edu.tr/durahim/ Ahmet Onur Durahim Learning Objectives Database systems concepts Designing and implementing a database application Life of a Query
More informationMIS Database Systems.
MIS 335 - Database Systems http://www.mis.boun.edu.tr/durahim/ Ahmet Onur Durahim Learning Objectives Database systems concepts Designing and implementing a database application Life of a Query in a Database
More informationOracle Big Data. A NA LYT ICS A ND MA NAG E MENT.
Oracle Big Data. A NALYTICS A ND MANAG E MENT. Oracle Big Data: Redundância. Compatível com ecossistema Hadoop, HIVE, HBASE, SPARK. Integração com Cloudera Manager. Possibilidade de Utilização da Linguagem
More information