Dr. Chuck Cartledge. 1 Oct. 2015
|
|
- Branden Campbell
- 5 years ago
- Views:
Transcription
1 CS-695 NoSQL Database HBase (part 2 of 2) Dr. Chuck Cartledge 1 Oct /14
2 Table of contents I 1 Miscellanea 2 Assignment #3 3 Extensions 5 Conclusion 6 References 4 Summary 2/14
3 Corrections and additions since last lecture. Assignment #03 is available1. Corrected typos in lecture #005 3/14
4 Words of explanation. The full text is available at: ~ccartled/ Teaching/2015-Fall/NoSQL/ Assignments/03/ In general terms: 1 Parse data 2 Create columnar database 3 Alter the database for new data 4 Query database 5 Create histograms 4/14
5 They are minimal. HBase is more of a data store than a database. Large omission is lack join capability Can be implemented via MapReduce Can be implemented via client app. Nested loop, scanning each table entry against all table other entries Lots of IO means slow 5/14
6 They are minimal. A variety and selection of HBase shell commands 1 General status, version, whoami Management alter, create, describe, disable( all), drop( all), enable( all), list, show filters (part of scan) Data manipulation count, delete(all), get, get counter, incr, put, scan, truncate Surgery tools assign, balancer( switch), close region, compact, flush, major compact, move, split, unassign,zk dump Cluster replication a raft of commands Security tools grant, revoke, user permission 1 6/14
7 They are minimal. Example scan commands 2 scan command applies any filters and returns rows and columns that pass the filter scan hbase:meta scan hbase:meta, LIMIT => 1 scan hbase:meta, LIMIT => 10, COLUMNS => info:regioninfo scan hbase:meta, LIMIT => 1, STARTROW => bethu 2 7/14
8 They are minimal. Example filters 3 Filters return rows that pass the filter criteria (this may be a different type operation than some people are used to performing). Syntax: FilterName (argument, argument,..., argument) Compound operators: AND, OR, SKIP, and WHILE Execution order: parens, SKIP and WHILE, AND, OR Operators, <,<=,=,! =,>=,> PrefixFilter ( Row ) AND PageFilter (1) AND FirstKeyOnlyFilter () A complete list of filters is described in Chapter 75 [2]. Available filters are found using the HBase show filters command /14
9 They are minimal. Misc. sampling of companies using HBase 4 Adobe small cluster Caree.rs high tech hiring firm, backend data, machine learning, hire recommendations Facebook power messages infrastructure Infolinks In-Text ad provider to optimize ad placement OCLC catalog collections from 72,000 libraries OpenLogic world s Open Source packages Pacific Northwest National Laboratory biological data warehouse Stumbleupon real-time data storage and analytics Twitter back up of all mysql tables in production backend WorldLingo machine translation 4 9/14
10 They are minimal. Bloom Filters A space efficient probabilistic data structure designed to answer the question: have I seen this data before?? Small number of hash functions each set single bit in a bit vector Same hash functions used to see if bits are set May return FALSE POSITIVE Will not return FALSE NEGATIVE As filter becomes fuller, more FALSE POSITIVEs Image from [1]. Conceived by Burton Howard Bloom in 1970 as part of a spell checker. 10/14
11 Strengths and weaknesses Good and not so good Strengths Autoversioning of data Scaleability (gigabyte or terabyte databases) Community support Weaknesses Scaleability (gigabyte or terabyte databases) not small databases Small data sets (A few thousand/million rows[2]) Lack of strong query language Requires Hadoop and Zookeeper type infrastructure (i.e., hardware) Lack of sorting and indexing capabilities Lack of data types 11/14
12 Applicabilities Good for, and not so good for Good fit Event logging Content management systems, blogging platforms Counters, and expiring usage cases Not so good fit If ACID is required Aggregating data (SUM, AVG, etc.) Prototyping applications 12/14
13 What have we covered? Reviewed assignment #03 Covered some of the HBase querying capabilities Remember Assignment #03 due before next class Next time: MongoDB 13/14
14 References I [1] Ben Podgursky, Bloomjoin: Bloomfilter + cogroup, [2] Apache Staff, Apache hbase reference guide, /14
Comparing SQL and NOSQL databases
COSC 6397 Big Data Analytics Data Formats (II) HBase Edgar Gabriel Spring 2014 Comparing SQL and NOSQL databases Types Development History Data Storage Model SQL One type (SQL database) with minor variations
More informationDr. Chuck Cartledge. 14 Sept. 2015
CS-695 NoSQL Database Riak (part 2 of 2) Dr. Chuck Cartledge 14 Sept. 2015 1/21 Table of contents I 5 Summary 1 Miscellanea 2 Assignment #2 3 Extensions 4 Break 6 Conclusion 7 References 8 Backup slides
More informationDr. Chuck Cartledge. 3 Dec. 2015
CS-695 NoSQL Database Redis (part 2 of 2) Dr. Chuck Cartledge 3 Dec. 2015 1/14 Table of contents I 1 Miscellanea 2 DB comparisons 3 Assgn. #7 4 Misc. things 6 Course review 7 Conclusion 8 References 5
More informationTypical size of data you deal with on a daily basis
Typical size of data you deal with on a daily basis Processes More than 161 Petabytes of raw data a day https://aci.info/2014/07/12/the-dataexplosion-in-2014-minute-by-minuteinfographic/ On average, 1MB-2MB
More informationPresented by Sunnie S Chung CIS 612
By Yasin N. Silva, Arizona State University Presented by Sunnie S Chung CIS 612 This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. See http://creativecommons.org/licenses/by-nc-sa/4.0/
More informationCOSC 6339 Big Data Analytics. NoSQL (II) HBase. Edgar Gabriel Fall HBase. Column-Oriented data store Distributed designed to serve large tables
COSC 6339 Big Data Analytics NoSQL (II) HBase Edgar Gabriel Fall 2018 HBase Column-Oriented data store Distributed designed to serve large tables Billions of rows and millions of columns Runs on a cluster
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 informationDr. Chuck Cartledge. 19 Nov. 2015
CS-695 NoSQL Database Redis (part 1 of 2) Dr. Chuck Cartledge 19 Nov. 2015 1/21 Table of contents I 1 Miscellanea 2 DB comparisons 3 Assgn. #7 4 Historical origins 5 Data model 6 CRUDy stuff 7 Other operations
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 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 informationHBASE INTERVIEW QUESTIONS
HBASE INTERVIEW QUESTIONS http://www.tutorialspoint.com/hbase/hbase_interview_questions.htm Copyright tutorialspoint.com Dear readers, these HBase Interview Questions have been designed specially to get
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 informationCIB Session 12th NoSQL Databases Structures
CIB Session 12th NoSQL Databases Structures By: Shahab Safaee & Morteza Zahedi Software Engineering PhD Email: safaee.shx@gmail.com, morteza.zahedi.a@gmail.com cibtrc.ir cibtrc cibtrc 2 Agenda What is
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 informationCassandra, MongoDB, and HBase. Cassandra, MongoDB, and HBase. I have chosen these three due to their recent
Tanton Jeppson CS 401R Lab 3 Cassandra, MongoDB, and HBase Introduction For my report I have chosen to take a deeper look at 3 NoSQL database systems: Cassandra, MongoDB, and HBase. I have chosen these
More informationScaling Up HBase. Duen Horng (Polo) Chau Assistant Professor Associate Director, MS Analytics Georgia Tech. CSE6242 / CX4242: Data & Visual Analytics
http://poloclub.gatech.edu/cse6242 CSE6242 / CX4242: Data & Visual Analytics Scaling Up HBase Duen Horng (Polo) Chau Assistant Professor Associate Director, MS Analytics Georgia Tech Partly based on materials
More informationGuest Lecture. Daniel Dao & Nick Buroojy
Guest Lecture Daniel Dao & Nick Buroojy OVERVIEW What is Civitas Learning What We Do Mission Statement Demo What I Do How I Use Databases Nick Buroojy WHAT IS CIVITAS LEARNING Civitas Learning Mid-sized
More informationHBase vs Neo4j. Technical overview. Name: Vladan Jovičić CR09 Advanced Scalable Data (Fall, 2017) Ecolé Normale Superiuere de Lyon
HBase vs Neo4j Technical overview Name: Vladan Jovičić CR09 Advanced Scalable Data (Fall, 2017) Ecolé Normale Superiuere de Lyon 12th October 2017 1 Contents 1 Introduction 3 2 Overview of HBase and Neo4j
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 informationReview - Relational Model Concepts
Lecture 25 Overview Last Lecture Query optimisation/query execution strategies This Lecture Non-relational data models Source: web pages, textbook chapters 20-22 Next Lecture Revision Review - Relational
More informationCloudera Kudu Introduction
Cloudera Kudu Introduction Zbigniew Baranowski Based on: http://slideshare.net/cloudera/kudu-new-hadoop-storage-for-fast-analytics-onfast-data What is KUDU? New storage engine for structured data (tables)
More informationGhislain Fourny. Big Data 5. Column stores
Ghislain Fourny Big Data 5. Column stores 1 Introduction 2 Relational model 3 Relational model Schema 4 Issues with relational databases (RDBMS) Small scale Single machine 5 Can we fix a RDBMS? Scale up
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 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 informationCIS 612 Advanced Topics in Database Big Data Project Lawrence Ni, Priya Patil, James Tench
CIS 612 Advanced Topics in Database Big Data Project Lawrence Ni, Priya Patil, James Tench Abstract Implementing a Hadoop-based system for processing big data and doing analytics is a topic which has been
More informationProjected by: LUKA CECXLADZE BEQA CHELIDZE Superviser : Nodar Momtsemlidze
Projected by: LUKA CECXLADZE BEQA CHELIDZE Superviser : Nodar Momtsemlidze About HBase HBase is a column-oriented database management system that runs on top of HDFS. It is well suited for sparse data
More informationLecture 25 Overview. Last Lecture Query optimisation/query execution strategies
Lecture 25 Overview Last Lecture Query optimisation/query execution strategies This Lecture Non-relational data models Source: web pages, textbook chapters 20-22 Next Lecture Revision COSC344 Lecture 25
More informationModule - 17 Lecture - 23 SQL and NoSQL systems. (Refer Slide Time: 00:04)
Introduction to Morden Application Development Dr. Gaurav Raina Prof. Tanmai Gopal Department of Computer Science and Engineering Indian Institute of Technology, Madras Module - 17 Lecture - 23 SQL and
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 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 informationData about data is database Select correct option: True False Partially True None of the Above
Within a table, each primary key value. is a minimal super key is always the first field in each table must be numeric must be unique Foreign Key is A field in a table that matches a key field in another
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 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 informationGhislain Fourny. Big Data 5. Wide column stores
Ghislain Fourny Big Data 5. Wide column stores Data Technology Stack User interfaces Querying Data stores Indexing Processing Validation Data models Syntax Encoding Storage 2 Where we are User interfaces
More informationColumn-Family Stores: Cassandra
NDBI040: Big Data Management and NoSQL Databases h p://www.ksi.mff.cuni.cz/ svoboda/courses/2016-1-ndbi040/ Lecture 10 Column-Family Stores: Cassandra Mar n Svoboda svoboda@ksi.mff.cuni.cz 13. 12. 2016
More informationApache Hive for Oracle DBAs. Luís Marques
Apache Hive for Oracle DBAs Luís Marques About me Oracle ACE Alumnus Long time open source supporter Founder of Redglue (www.redglue.eu) works for @redgluept as Lead Data Architect @drune After this talk,
More informationShen PingCAP 2017
Shen Li @ PingCAP About me Shen Li ( 申砾 ) Tech Lead of TiDB, VP of Engineering Netease / 360 / PingCAP Infrastructure software engineer WHY DO WE NEED A NEW DATABASE? Brief History Standalone RDBMS NoSQL
More informationHBase Solutions at Facebook
HBase Solutions at Facebook Nicolas Spiegelberg Software Engineer, Facebook QCon Hangzhou, October 28 th, 2012 Outline HBase Overview Single Tenant: Messages Selection Criteria Multi-tenant Solutions
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 informationNoSQL Database Comparison: Bigtable, Cassandra and MongoDB CJ Campbell Brigham Young University October 16, 2015
Running Head: NOSQL DATABASE COMPARISON: BIGTABLE, CASSANDRA AND MONGODB NoSQL Database Comparison: Bigtable, Cassandra and MongoDB CJ Campbell Brigham Young University October 16, 2015 1 INTRODUCTION
More informationBig Data Development CASSANDRA NoSQL Training - Workshop. November 20 to (5 days) 9 am to 5 pm HOTEL DUBAI GRAND DUBAI
Big Data Development CASSANDRA NoSQL Training - Workshop November 20 to 24 2016 (5 days) 9 am to 5 pm HOTEL DUBAI GRAND DUBAI ISIDUS TECH TEAM FZE PO Box 9798 Dubai UAE, email training-coordinator@isidusnet
More informationMySQL Database Administrator Training NIIT, Gurgaon India 31 August-10 September 2015
MySQL Database Administrator Training Day 1: AGENDA Introduction to MySQL MySQL Overview MySQL Database Server Editions MySQL Products MySQL Services and Support MySQL Resources Example Databases MySQL
More informationPig A language for data processing in Hadoop
Pig A language for data processing in Hadoop Antonino Virgillito THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION Apache Pig: Introduction Tool for querying data on Hadoop
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 informationDr. Chuck Cartledge. 18 Mar. 2015
CS-495/595 Hive Lecture #9 Dr. Chuck Cartledge 18 Mar. 2015 1/25 Table of contents I 1 Miscellanea 2 Assignment #3 3 The Book 4 Chapter 12 6 Project 7 Conclusion 8 References 5 Break 2/25 Corrections and
More informationStrategies for Incremental Updates on Hive
Strategies for Incremental Updates on Hive Copyright Informatica LLC 2017. Informatica, the Informatica logo, and Big Data Management are trademarks or registered trademarks of Informatica LLC in the United
More informationDr. Chuck Cartledge. 5 Nov. 2015
CS-695 NoSQL Database Neo4J (part 1 of 2) Dr. Chuck Cartledge 5 Nov. 2015 1/28 Table of contents I 1 Miscellanea 2 DB comparisons 3 Assgn. #6 4 Historical origins 6 CRUDy stuff 7 Conclusion 8 References
More informationRDMA for Apache HBase User Guide
0.9.1 User Guide HIGH-PERFORMANCE BIG DATA TEAM http://hibd.cse.ohio-state.edu NETWORK-BASED COMPUTING LABORATORY DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING THE OHIO STATE UNIVERSITY Copyright (c)
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 informationDr. Chuck Cartledge. 18 Feb. 2015
CS-495/595 Pig Lecture #6 Dr. Chuck Cartledge 18 Feb. 2015 1/18 Table of contents I 1 Miscellanea 2 The Book 3 Chapter 11 4 Conclusion 5 References 2/18 Corrections and additions since last lecture. Completed
More informationIntroduction to Hadoop. Owen O Malley Yahoo!, Grid Team
Introduction to Hadoop Owen O Malley Yahoo!, Grid Team owen@yahoo-inc.com Who Am I? Yahoo! Architect on Hadoop Map/Reduce Design, review, and implement features in Hadoop Working on Hadoop full time since
More informationFinal Exam Review 2. Kathleen Durant CS 3200 Northeastern University Lecture 23
Final Exam Review 2 Kathleen Durant CS 3200 Northeastern University Lecture 23 QUERY EVALUATION PLAN Representation of a SQL Command SELECT {DISTINCT} FROM {WHERE
More informationDr. Chuck Cartledge. 11 Feb. 2015
CS-495/595 Hadoop (part 2) Lecture #5 Dr. Chuck Cartledge 11 Feb. 2015 1/32 Table of contents I 1 Miscellanea 2 The Book 3 Chapter 3 4 Chapter 4 5 Chapter 6 6 Chapter 8 7 Break 8 Assignment #2 9 Exam 10
More informationSQLSaturday Sioux Falls, SD Hosted by (605) SQL
SQLSaturday 2017 Sioux Falls, SD Hosted by (605) SQL Please be sure to visit the sponsors during breaks and enter their end-of-day raffles! Remember to complete session surveys! You will be emailed a link
More informationDatabases and Big Data Today. CS634 Class 22
Databases and Big Data Today CS634 Class 22 Current types of Databases SQL using relational tables: still very important! NoSQL, i.e., not using relational tables: term NoSQL popular since about 2007.
More informationThe NoSQL Ecosystem. Adam Marcus MIT CSAIL
The NoSQL Ecosystem Adam Marcus MIT CSAIL marcua@csail.mit.edu / @marcua About Me Social Computing + Database Systems Easily Distracted: Wrote The NoSQL Ecosystem in The Architecture of Open Source Applications
More informationEvolution of Big Data Facebook. Architecture Summit, Shenzhen, August 2012 Ashish Thusoo
Evolution of Big Data Architectures@ Facebook Architecture Summit, Shenzhen, August 2012 Ashish Thusoo About Me Currently Co-founder/CEO of Qubole Ran the Data Infrastructure Team at Facebook till 2011
More informationMongoDB An Overview. 21-Oct Socrates
MongoDB An Overview 21-Oct-2016 Socrates Agenda What is NoSQL DB? Types of NoSQL DBs DBMS and MongoDB Comparison Why MongoDB? MongoDB Architecture Storage Engines Data Model Query Language Security Data
More informationDHANALAKSHMI COLLEGE OF ENGINEERING, CHENNAI
DHANALAKSHMI COLLEGE OF ENGINEERING, CHENNAI Department of Information Technology IT6701 - INFORMATION MANAGEMENT Anna University 2 & 16 Mark Questions & Answers Year / Semester: IV / VII Regulation: 2013
More informationHow do we build TiDB. a Distributed, Consistent, Scalable, SQL Database
How do we build TiDB a Distributed, Consistent, Scalable, SQL Database About me LiuQi ( 刘奇 ) JD / WandouLabs / PingCAP Co-founder / CEO of PingCAP Open-source hacker / Infrastructure software engineer
More informationSQL in the Hybrid World
SQL in the Hybrid World Tanel Poder a long time computer performance geek 1 Tanel Põder Intro: About me Oracle Database Performance geek (18+ years) Exadata Performance geek Linux Performance geek Hadoop
More informationApache Hadoop Goes Realtime at Facebook. Himanshu Sharma
Apache Hadoop Goes Realtime at Facebook Guide - Dr. Sunny S. Chung Presented By- Anand K Singh Himanshu Sharma Index Problem with Current Stack Apache Hadoop and Hbase Zookeeper Applications of HBase at
More informationOracle Exam 1z0-883 MySQL 5.6 Database Administrator Version: 8.0 [ Total Questions: 100 ]
s@lm@n Oracle Exam 1z0-883 MySQL 5.6 Database Administrator Version: 8.0 [ Total Questions: 100 ] Oracle 1z0-883 : Practice Test Question No : 1 Consider the Mysql Enterprise Audit plugin. You are checking
More informationCSE 530A. Non-Relational Databases. Washington University Fall 2013
CSE 530A Non-Relational Databases Washington University Fall 2013 NoSQL "NoSQL" was originally the name of a specific RDBMS project that did not use a SQL interface Was co-opted years later to refer to
More informationNoSQL systems. Lecture 21 (optional) Instructor: Sudeepa Roy. CompSci 516 Data Intensive Computing Systems
CompSci 516 Data Intensive Computing Systems Lecture 21 (optional) NoSQL systems Instructor: Sudeepa Roy Duke CS, Spring 2016 CompSci 516: Data Intensive Computing Systems 1 Key- Value Stores Duke CS,
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 informationBig Data Infrastructure CS 489/698 Big Data Infrastructure (Winter 2016)
Big Data Infrastructure CS 489/698 Big Data Infrastructure (Winter 2016) Week 10: Mutable State (1/2) March 15, 2016 Jimmy Lin David R. Cheriton School of Computer Science University of Waterloo These
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 informationOracle Big Data SQL High Performance Data Virtualization Explained
Keywords: Oracle Big Data SQL High Performance Data Virtualization Explained Jean-Pierre Dijcks Oracle Redwood City, CA, USA Big Data SQL, SQL, Big Data, Hadoop, NoSQL Databases, Relational Databases,
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 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 informationNoSQL Databases. Amir H. Payberah. Swedish Institute of Computer Science. April 10, 2014
NoSQL Databases Amir H. Payberah Swedish Institute of Computer Science amir@sics.se April 10, 2014 Amir H. Payberah (SICS) NoSQL Databases April 10, 2014 1 / 67 Database and Database Management System
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 informationScalable Web Programming. CS193S - Jan Jannink - 2/25/10
Scalable Web Programming CS193S - Jan Jannink - 2/25/10 Weekly Syllabus 1.Scalability: (Jan.) 2.Agile Practices 3.Ecology/Mashups 4.Browser/Client 7.Analytics 8.Cloud/Map-Reduce 9.Published APIs: (Mar.)*
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 informationDesign Patterns for Large- Scale Data Management. Robert Hodges OSCON 2013
Design Patterns for Large- Scale Data Management Robert Hodges OSCON 2013 The Start-Up Dilemma 1. You are releasing Online Storefront V 1.0 2. It could be a complete bust 3. But it could be *really* big
More informationRails on HBase. Zachary Pinter and Tony Hillerson RailsConf 2011
Rails on HBase Zachary Pinter and Tony Hillerson RailsConf 2011 What we will cover What is it? What are the tradeoffs that HBase makes? Why HBase is probably the wrong choice for your app Why HBase might
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 information/ Cloud Computing. Recitation 8 October 18, 2016
15-319 / 15-619 Cloud Computing Recitation 8 October 18, 2016 1 Overview Administrative issues Office Hours, Piazza guidelines Last week s reflection Project 3.2, OLI Unit 3, Module 13, Quiz 6 This week
More informationADVANCED HBASE. Architecture and Schema Design GeeCON, May Lars George Director EMEA Services
ADVANCED HBASE Architecture and Schema Design GeeCON, May 2013 Lars George Director EMEA Services About Me Director EMEA Services @ Cloudera Consulting on Hadoop projects (everywhere) Apache Committer
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 informationHive and Shark. Amir H. Payberah. Amirkabir University of Technology (Tehran Polytechnic)
Hive and Shark Amir H. Payberah amir@sics.se Amirkabir University of Technology (Tehran Polytechnic) Amir H. Payberah (Tehran Polytechnic) Hive and Shark 1393/8/19 1 / 45 Motivation MapReduce is hard to
More informationApache Kudu. Zbigniew Baranowski
Apache Kudu Zbigniew Baranowski Intro What is KUDU? New storage engine for structured data (tables) does not use HDFS! Columnar store Mutable (insert, update, delete) Written in C++ Apache-licensed open
More informationManagement Information Systems Review Questions. Chapter 6 Foundations of Business Intelligence: Databases and Information Management
Management Information Systems Review Questions Chapter 6 Foundations of Business Intelligence: Databases and Information Management 1) The traditional file environment does not typically have a problem
More informationApache Kylin. OLAP on Hadoop
Apache Kylin OLAP on Hadoop Agenda What s Apache Kylin? Tech Highlights Performance Roadmap Q & A http://kylin.io What s Kylin kylin / ˈkiːˈlɪn / 麒麟 --n. (in Chinese art) a mythical animal of composite
More informationIntro Cassandra. Adelaide Big Data Meetup.
Intro Cassandra Adelaide Big Data Meetup instaclustr.com @Instaclustr Who am I and what do I do? Alex Lourie Worked at Red Hat, Datastax and now Instaclustr We currently manage x10s nodes for various customers,
More informationCSE 544 Principles of Database Management Systems. Magdalena Balazinska Winter 2015 Lecture 14 NoSQL
CSE 544 Principles of Database Management Systems Magdalena Balazinska Winter 2015 Lecture 14 NoSQL References Scalable SQL and NoSQL Data Stores, Rick Cattell, SIGMOD Record, December 2010 (Vol. 39, No.
More informationData Informatics. Seon Ho Kim, Ph.D.
Data Informatics Seon Ho Kim, Ph.D. seonkim@usc.edu HBase HBase is.. A distributed data store that can scale horizontally to 1,000s of commodity servers and petabytes of indexed storage. Designed to operate
More information7. Query Processing and Optimization
7. Query Processing and Optimization Processing a Query 103 Indexing for Performance Simple (individual) index B + -tree index Matching index scan vs nonmatching index scan Unique index one entry and one
More informationPROFESSIONAL. NoSQL. Shashank Tiwari WILEY. John Wiley & Sons, Inc.
PROFESSIONAL NoSQL Shashank Tiwari WILEY John Wiley & Sons, Inc. Examining CONTENTS INTRODUCTION xvil CHAPTER 1: NOSQL: WHAT IT IS AND WHY YOU NEED IT 3 Definition and Introduction 4 Context and a Bit
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 information/ Cloud Computing. Recitation 7 October 10, 2017
15-319 / 15-619 Cloud Computing Recitation 7 October 10, 2017 Overview Last week s reflection Project 3.1 OLI Unit 3 - Module 10, 11, 12 Quiz 5 This week s schedule OLI Unit 3 - Module 13 Quiz 6 Project
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 You have an Azure HDInsight cluster. You need to store data in a file format that
More informationExtreme Computing. Introduction to MapReduce. Cluster Outline Map Reduce
Extreme Computing Introduction to MapReduce 1 Cluster We have 12 servers: scutter01, scutter02,... scutter12 If working outside Informatics, first: ssh student.ssh.inf.ed.ac.uk Then log into a random server:
More informationFacebook. The Technology Behind Messages (and more ) Kannan Muthukkaruppan Software Engineer, Facebook. March 11, 2011
HBase @ Facebook The Technology Behind Messages (and more ) Kannan Muthukkaruppan Software Engineer, Facebook March 11, 2011 Talk Outline the new Facebook Messages, and how we got started with HBase quick
More informationOral Questions and Answers (DBMS LAB) Questions & Answers- DBMS
Questions & Answers- DBMS https://career.guru99.com/top-50-database-interview-questions/ 1) Define Database. A prearranged collection of figures known as data is called database. 2) What is DBMS? Database
More informationJargons, Concepts, Scope and Systems. Key Value Stores, Document Stores, Extensible Record Stores. Overview of different scalable relational systems
Jargons, Concepts, Scope and Systems Key Value Stores, Document Stores, Extensible Record Stores Overview of different scalable relational systems Examples of different Data stores Predictions, Comparisons
More informationColumn-Family Databases Cassandra and HBase
Column-Family Databases Cassandra and HBase Kevin Swingler Google Big Table Google invented BigTableto store the massive amounts of semi-structured data it was generating Basic model stores items indexed
More information/ Cloud Computing. Recitation 10 March 22nd, 2016
15-319 / 15-619 Cloud Computing Recitation 10 March 22nd, 2016 Overview Administrative issues Office Hours, Piazza guidelines Last week s reflection Project 3.3, OLI Unit 4, Module 15, Quiz 8 This week
More information