Experimentation on Cloud Databases to Handle Genomic Big Data
|
|
- Wendy Wright
- 8 years ago
- Views:
Transcription
1 Experimentation on Cloud Databases to Handle Genomic Big Data Presented by: Abraham Gómez, M.Sc., B.Sc. Academic Advisor: Alain April. Ph.D,M.Sc.A, B.A.
2 Agenda Concepts & Overview Technology description Case study Methodology Obtained Results 6 Conclusion Page 2
3 Concepts & Overview At present, industries & academics have become focused on delivering information. Past local applications are moving to applications in the Cloud. After all, this migration is easy? Page 3
4 Concepts & Overview Page 4
5 Concepts & Overview This new field of research is called big data. Often time-sensitive Velocity Variety Extends beyond structured data: text, audio, video, etc. Volume Comes in one size: large Page 5
6 Concepts & Overview Why genetics/genomic are related to Big Data? -The time and cost of DNA sequencing has been reduced by a factor of 1 million. -Near future, mapping a personal genome could cost a few hundred dollars. Page 6
7 Concepts & Overview Why genetics/genomic are related to Big Data? -Now, a personal genome = 100 GB. -If everybody wants its own genome = hundreds of petabytes of data. (Volume). -If everybody wants get it fast (Velocity). -If nobody wants only text (Variety). Page 7
8 Agenda Concepts & Overview Technology description Case study Methodology Obtained Results 6 Conclusion Page 8
9 Concepts & Overview Companies presently use relational database (RDB) technology. Big data applications also use RDB technology Page 9
10 Concepts & Overview However, case study shows that accessing petabytes of data efficiently (in the cloud) is challenging. -Solutions: -Sharding but creates technological problems. -Buy specialized hardware but creates budget problems. Page 10
11 Concepts & Overview Emerging Cloud Computing (CC) database technology (No-SQL) is a new research domain that addresses these challenges. Page 11
12 Hadoop Project Page 12
13 Hadoop Project Several subprojects: HBase is the Hadoop database. So, is a distributed, scalable, big data store. Page 13
14 Agenda Concepts & Overview Technology description Case study Methodology Obtained Results 6 Conclusion Page 14
15 Case study Data from Centre d Excellence en Neuromique de l'université de Montréal (CENUM) has been used. The research group uses a fivesteps process to collect the information saved in the database: Page 15
16 Case study Page 16
17 Case study The current RDB start to show weakness by the impressive amount of data. Some tables only with a sample of 25% have: By next 2 year will have 200% more data. Coverage 20GB Page 17 Variant 2,1GB
18 Case study SQL 1 = Exclude some variants present in 1 or more individuals (list of samples). SELECT DISTINCT variant_id FROM sample_variant WHERE sample_id in (146,162,167,189,193) GROUP BY variant_id ORDER BY variant_id Page 18
19 Case study Some SQL requests become very slow or sometimes even impossible. Page 19
20 Case study The problem has three dimensions: Data Analysis Data Storage Data Retrieval Page 20
21 Agenda Concepts & Overview Technology description Case Study Methodology Obtained Results 6 Conclusion Page 21
22 Methodology Several case studies show that HBase is a feasible solution. HBase Pros: -Avoid the sharding problems. -Avoid to buy specialized Hardware. HBase Cons: -Redesign database schema. Page 22
23 Methodology Case study analysis. -Exactly what they need? -Thinks a long term data store. -Improve data retrieval. Redesign the DB schema based on: -SQL request ( Read / Write ). Page 23
24 Methodology Redesign the DB schema based on: -Take reference tables and mixed in one. -Faster data retrieval. -Avoid some relationships. Using Sqoop for data migration. Page 24
25 Methodology Page 25
26 Agenda Concepts & Overview Technology description Case Study Methodology Obtained Results 6 Conclusion Page 26
27 Obtained Results Create an standard in migration process from RDB to No-SQL DB. -Proc #1: Create column families according access / write pattern (SQL request). -Proc #2: Merge reference tables. -Proc #3: Spreading relationships manually. Use of Sqoop. Page 27
28 Obtained Results The SQL request has a better performance: HBase RDB Page 28
29 Agenda Concepts & Overview Technology description Case Study Methodology Obtained Results Conclusion Page 29 Rules for Converting a Relational Database to a No-SQL Database for Cloud Computing
30 Conclusion Migration from RDB to HBase can be standardized. More data from case study will be needed. Until now the results support that HBase is faster than RDB. (Controlled environment). Page 30
31 Conclusion HBase is a good solution for: 1. Data Storage because is possible to save petabytes of data. 2. Data Retrieval because you can obtain your data fast. 3. Data Analysis if you can uses other Hadoop subprojects (MapReduce, Hive) from HBase. Page 31
32 Thanks!!! Questions? Page
So What s the Big Deal?
So What s the Big Deal? Presentation Agenda Introduction What is Big Data? So What is the Big Deal? Big Data Technologies Identifying Big Data Opportunities Conducting a Big Data Proof of Concept Big Data
More informationBig Data and Data Science: Behind the Buzz Words
Big Data and Data Science: Behind the Buzz Words Peggy Brinkmann, FCAS, MAAA Actuary Milliman, Inc. April 1, 2014 Contents Big data: from hype to value Deconstructing data science Managing big data Analyzing
More informationHow To Create A Large Data Storage System
UT DALLAS Erik Jonsson School of Engineering & Computer Science Secure Data Storage and Retrieval in the Cloud Agenda Motivating Example Current work in related areas Our approach Contributions of this
More informationCan the Elephants Handle the NoSQL Onslaught?
Can the Elephants Handle the NoSQL Onslaught? Avrilia Floratou, Nikhil Teletia David J. DeWitt, Jignesh M. Patel, Donghui Zhang University of Wisconsin-Madison Microsoft Jim Gray Systems Lab Presented
More informationBig Data, Why All the Buzz? (Abridged) Anita Luthra, February 20, 2014
Big Data, Why All the Buzz? (Abridged) Anita Luthra, February 20, 2014 Defining Big Not Just Massive Data Big data refers to data sets whose size is beyond the ability of typical database software tools
More informationIncreasing Business Productivity and Value in Financial Services with Secure Big Data Architecture
Increasing Business Productivity and Value in Financial Services with Secure Big Data Architecture Stefanus Natahusada, Director/Consultant Email: info@stefansecurity.com Agenda Financial Services Requirements
More informationBIG DATA CAN DRIVE THE BUSINESS AND IT TO EVOLVE AND ADAPT RALPH KIMBALL BUSSUM 2014
BIG DATA CAN DRIVE THE BUSINESS AND IT TO EVOLVE AND ADAPT RALPH KIMBALL BUSSUM 2014 Ralph Kimball Associates 2014 The Data Warehouse Mission Identify all possible enterprise data assets Select those assets
More informationHow To Scale Out Of A Nosql Database
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 informationSpeak<geek> Tech Brief. RichRelevance Distributed Computing: creating a scalable, reliable infrastructure
3 Speak Tech Brief RichRelevance Distributed Computing: creating a scalable, reliable infrastructure Overview Scaling a large database is not an overnight process, so it s difficult to plan and implement
More informationBringing Big Data to People
Bringing Big Data to People Microsoft s modern data platform SQL Server 2014 Analytics Platform System Microsoft Azure HDInsight Data Platform Everyone should have access to the data they need. Process
More informationBig Systems, Big Data
Big Systems, Big Data When considering Big Distributed Systems, it can be noted that a major concern is dealing with data, and in particular, Big Data Have general data issues (such as latency, availability,
More informationBig Data Analytics. Copyright 2011 EMC Corporation. All rights reserved.
Big Data Analytics 1 Priority Discussion Topics What are the most compelling business drivers behind big data analytics? Do you have or expect to have data scientists on your staff, and what will be their
More informationEnterprise Operational SQL on Hadoop Trafodion Overview
Enterprise Operational SQL on Hadoop Trafodion Overview Rohit Jain Distinguished & Chief Technologist Strategic & Emerging Technologies Enterprise Database Solutions Copyright 2012 Hewlett-Packard Development
More informationImplement Hadoop jobs to extract business value from large and varied data sets
Hadoop Development for Big Data Solutions: Hands-On You Will Learn How To: Implement Hadoop jobs to extract business value from large and varied data sets Write, customize and deploy MapReduce jobs to
More informationIntroduction 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 informationHow To Handle Big Data With A Data Scientist
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 informationTesting Big data is one of the biggest
Infosys Labs Briefings VOL 11 NO 1 2013 Big Data: Testing Approach to Overcome Quality Challenges By Mahesh Gudipati, Shanthi Rao, Naju D. Mohan and Naveen Kumar Gajja Validate data quality by employing
More informationLarge-Scale Data Processing
Large-Scale Data Processing Eiko Yoneki eiko.yoneki@cl.cam.ac.uk http://www.cl.cam.ac.uk/~ey204 Systems Research Group University of Cambridge Computer Laboratory 2010s: Big Data Why Big Data now? Increase
More informationHadoop and MySQL for Big Data
Hadoop and MySQL for Big Data Alexander Rubin October 9, 2013 About Me Alexander Rubin, Principal Consultant, Percona Working with MySQL for over 10 years Started at MySQL AB, Sun Microsystems, Oracle
More informationBig Data: Opportunities & Challenges, Myths & Truths 資 料 來 源 : 台 大 廖 世 偉 教 授 課 程 資 料
Big Data: Opportunities & Challenges, Myths & Truths 資 料 來 源 : 台 大 廖 世 偉 教 授 課 程 資 料 美 國 13 歲 學 生 用 Big Data 找 出 霸 淩 熱 點 Puri 架 設 網 站 Bullyvention, 藉 由 分 析 Twitter 上 找 出 提 到 跟 霸 凌 相 關 的 詞, 搭 配 地 理 位 置
More informationData Modeling for Big Data
Data Modeling for Big Data by Jinbao Zhu, Principal Software Engineer, and Allen Wang, Manager, Software Engineering, CA Technologies In the Internet era, the volume of data we deal with has grown to terabytes
More informationINTRODUCTION TO CASSANDRA
INTRODUCTION TO CASSANDRA This ebook provides a high level overview of Cassandra and describes some of its key strengths and applications. WHAT IS CASSANDRA? Apache Cassandra is a high performance, open
More informationLecture 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 informationKatta & Hadoop. Katta - Distributed Lucene Index in Production. Stefan Groschupf Scale Unlimited, 101tec. sg{at}101tec.com
1 Katta & Hadoop Katta - Distributed Lucene Index in Production Stefan Groschupf Scale Unlimited, 101tec. sg{at}101tec.com foto by: belgianchocolate@flickr.com 2 Intro Business intelligence reports from
More informationTesting 3Vs (Volume, Variety and Velocity) of Big Data
Testing 3Vs (Volume, Variety and Velocity) of Big Data 1 A lot happens in the Digital World in 60 seconds 2 What is Big Data Big Data refers to data sets whose size is beyond the ability of commonly used
More informationBIG 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 informationManaging Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges
Managing Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges Prerita Gupta Research Scholar, DAV College, Chandigarh Dr. Harmunish Taneja Department of Computer Science and
More informationReal Time Big Data Processing
Real Time Big Data Processing Cloud Expo 2014 Ian Meyers Amazon Web Services Global Infrastructure Deployment & Administration App Services Analytics Compute Storage Database Networking AWS Global Infrastructure
More informationBringing Big Data into the Enterprise
Bringing Big Data into the Enterprise Overview When evaluating Big Data applications in enterprise computing, one often-asked question is how does Big Data compare to the Enterprise Data Warehouse (EDW)?
More informationImproving Data Processing Speed in Big Data Analytics Using. HDFS Method
Improving Data Processing Speed in Big Data Analytics Using HDFS Method M.R.Sundarakumar Assistant Professor, Department Of Computer Science and Engineering, R.V College of Engineering, Bangalore, India
More informationBig Data Challenges in Bioinformatics
Big Data Challenges in Bioinformatics BARCELONA SUPERCOMPUTING CENTER COMPUTER SCIENCE DEPARTMENT Autonomic Systems and ebusiness Pla?orms Jordi Torres Jordi.Torres@bsc.es Talk outline! We talk about Petabyte?
More informationBig Data Technologies Compared June 2014
Big Data Technologies Compared June 2014 Agenda What is Big Data Big Data Technology Comparison Summary Other Big Data Technologies Questions 2 What is Big Data by Example The SKA Telescope is a new development
More informationA Brief Outline on Bigdata Hadoop
A Brief Outline on Bigdata Hadoop Twinkle Gupta 1, Shruti Dixit 2 RGPV, Department of Computer Science and Engineering, Acropolis Institute of Technology and Research, Indore, India Abstract- Bigdata is
More informationArchitectures for Big Data Analytics A database perspective
Architectures for Big Data Analytics A database perspective Fernando Velez Director of Product Management Enterprise Information Management, SAP June 2013 Outline Big Data Analytics Requirements Spectrum
More informationBig Data on Microsoft Platform
Big Data on Microsoft Platform Prepared by GJ Srinivas Corporate TEG - Microsoft Page 1 Contents 1. What is Big Data?...3 2. Characteristics of Big Data...3 3. Enter Hadoop...3 4. Microsoft Big Data Solutions...4
More informationBig Data Big Data/Data Analytics & Software Development
Big Data Big Data/Data Analytics & Software Development Danairat T. danairat@gmail.com, 081-559-1446 1 Agenda Big Data Overview Business Cases and Benefits Hadoop Technology Architecture Big Data Development
More informationINTRODUCTION 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 informationHadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012. Viswa Sharma Solutions Architect Tata Consultancy Services
Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012 Viswa Sharma Solutions Architect Tata Consultancy Services 1 Agenda What is Hadoop Why Hadoop? The Net Generation is here Sizing the
More informationMarket Basket Analysis Algorithm on Map/Reduce in AWS EC2
Market Basket Analysis Algorithm on Map/Reduce in AWS EC2 Jongwook Woo Computer Information Systems Department California State University Los Angeles jwoo5@calstatela.edu Abstract As the web, social networking,
More informationData processing goes big
Test report: Integration Big Data Edition Data processing goes big Dr. Götz Güttich Integration is a powerful set of tools to access, transform, move and synchronize data. With more than 450 connectors,
More informationThe Future of Data Management
The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah (@awadallah) Cofounder and CTO Cloudera Snapshot Founded 2008, by former employees of Employees Today ~ 800 World Class
More informationBuilding an Experiment Baseline in Migration Process from SQL Databases to Column Oriented No-SQL Databases
BUILDING AN EXPERIMENT BASELINE IN MIGRATION PROCESS FROM SQL DATABASES TO COLUMN ORIENTED NO-SQL DATABASES ID NUMBER 1 Building an Experiment Baseline in Migration Process from SQL Databases to Column
More informationOpen Source Technologies on Microsoft Azure
Open Source Technologies on Microsoft Azure A Survey @DChappellAssoc Copyright 2014 Chappell & Associates The Main Idea i Open source technologies are a fundamental part of Microsoft Azure The Big Questions
More informationWhere We Are. References. Cloud Computing. Levels of Service. Cloud Computing History. Introduction to Data Management CSE 344
Where We Are Introduction to Data Management CSE 344 Lecture 25: DBMS-as-a-service and NoSQL We learned quite a bit about data management see course calendar Three topics left: DBMS-as-a-service and NoSQL
More informationOracle Big Data SQL Technical Update
Oracle Big Data SQL Technical Update Jean-Pierre Dijcks Oracle Redwood City, CA, USA Keywords: Big Data, Hadoop, NoSQL Databases, Relational Databases, SQL, Security, Performance Introduction This technical
More informationAlexander Rubin Principle Architect, Percona April 18, 2015. Using Hadoop Together with MySQL for Data Analysis
Alexander Rubin Principle Architect, Percona April 18, 2015 Using Hadoop Together with MySQL for Data Analysis About Me Alexander Rubin, Principal Consultant, Percona Working with MySQL for over 10 years
More informationNoSQL Data Base Basics
NoSQL Data Base Basics Course Notes in Transparency Format Cloud Computing MIRI (CLC-MIRI) UPC Master in Innovation & Research in Informatics Spring- 2013 Jordi Torres, UPC - BSC www.jorditorres.eu HDFS
More informationData Warehouse and Hive. Presented By: Shalva Gelenidze Supervisor: Nodar Momtselidze
Data Warehouse and Hive Presented By: Shalva Gelenidze Supervisor: Nodar Momtselidze Decision support systems Decision Support Systems allowed managers, supervisors, and executives to once again see the
More informationA Scalable Data Transformation Framework using the Hadoop Ecosystem
A Scalable Data Transformation Framework using the Hadoop Ecosystem Raj Nair Director Data Platform Kiru Pakkirisamy CTO AGENDA About Penton and Serendio Inc Data Processing at Penton PoC Use Case Functional
More informationBig Data Analytics for Space Exploration, Entrepreneurship and Policy Opportunities. Tiffani Crawford, PhD
Big Analytics for Space Exploration, Entrepreneurship and Policy Opportunities Tiffani Crawford, PhD Big Analytics Characteristics Large quantities of many data types Structured Unstructured Human Machine
More informationIntroduction to Database Systems CS4320/CS5320. CS4320/4321: Introduction to Database Systems. CS4320/4321: Introduction to Database Systems
Introduction to Database Systems CS4320/CS5320 Instructor: Johannes Gehrke http://www.cs.cornell.edu/johannes johannes@cs.cornell.edu CS4320/CS5320, Fall 2012 1 CS4320/4321: Introduction to Database Systems
More informationQuery and Analysis of Data on Electric Consumption Based on Hadoop
, pp.153-160 http://dx.doi.org/10.14257/ijdta.2016.9.2.17 Query and Analysis of Data on Electric Consumption Based on Hadoop Jianjun 1 Zhou and Yi Wu 2 1 Information Science and Technology in Heilongjiang
More informationData Services Advisory
Data Services Advisory Modern Datastores An Introduction Created by: Strategy and Transformation Services Modified Date: 8/27/2014 Classification: DRAFT SAFE HARBOR STATEMENT This presentation contains
More informationFinal Project Proposal. CSCI.6500 Distributed Computing over the Internet
Final Project Proposal CSCI.6500 Distributed Computing over the Internet Qingling Wang 660795696 1. Purpose Implement an application layer on Hybrid Grid Cloud Infrastructure to automatically or at least
More informationHadoop-BAM and SeqPig
Hadoop-BAM and SeqPig Keijo Heljanko 1, André Schumacher 1,2, Ridvan Döngelci 1, Luca Pireddu 3, Matti Niemenmaa 1, Aleksi Kallio 4, Eija Korpelainen 4, and Gianluigi Zanetti 3 1 Department of Computer
More informationHow To Use Big Data For Telco (For A Telco)
ON-LINE VIDEO ANALYTICS EMBRACING BIG DATA David Vanderfeesten, Bell Labs Belgium ANNO 2012 YOUR DATA IS MONEY BIG MONEY! Your click stream, your activity stream, your electricity consumption, your call
More informationNoSQL. Thomas Neumann 1 / 22
NoSQL Thomas Neumann 1 / 22 What are NoSQL databases? hard to say more a theme than a well defined thing Usually some or all of the following: no SQL interface no relational model / no schema no joins,
More informationBig Data Infrastructure at Spotify
Big Data Infrastructure at Spotify Wouter de Bie Team Lead Data Infrastructure June 12, 2013 2 Agenda Let s talk about Data Infrastructure, how we did it, what we learned and how we ve failed Some Context
More informationMicrosoft Big Data Solutions. Anar Taghiyev P-TSP E-mail: b-anarta@microsoft.com;
Microsoft Big Data Solutions Anar Taghiyev P-TSP E-mail: b-anarta@microsoft.com; Why/What is Big Data and Why Microsoft? Options of storage and big data processing in Microsoft Azure. Real Impact of Big
More informationHow To Create A Data Visualization With Apache Spark And Zeppelin 2.5.3.5
Big Data Visualization using Apache Spark and Zeppelin Prajod Vettiyattil, Software Architect, Wipro Agenda Big Data and Ecosystem tools Apache Spark Apache Zeppelin Data Visualization Combining Spark
More informationNoSQL for SQL Professionals William McKnight
NoSQL for SQL Professionals William McKnight Session Code BD03 About your Speaker, William McKnight President, McKnight Consulting Group Frequent keynote speaker and trainer internationally Consulted to
More informationIntroduction 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 informationAnalytics in the Cloud. Peter Sirota, GM Elastic MapReduce
Analytics in the Cloud Peter Sirota, GM Elastic MapReduce Data-Driven Decision Making Data is the new raw material for any business on par with capital, people, and labor. What is Big Data? Terabytes of
More informationForecast of Big Data Trends. Assoc. Prof. Dr. Thanachart Numnonda Executive Director IMC Institute 3 September 2014
Forecast of Big Data Trends Assoc. Prof. Dr. Thanachart Numnonda Executive Director IMC Institute 3 September 2014 Big Data transforms Business 2 Data created every minute Source http://mashable.com/2012/06/22/data-created-every-minute/
More informationwww.objectivity.com Choosing The Right Big Data Tools For The Job A Polyglot Approach
www.objectivity.com Choosing The Right Big Data Tools For The Job A Polyglot Approach Nic Caine NoSQL Matters, April 2013 Overview The Problem Current Big Data Analytics Relationship Analytics Leveraging
More informationTurn Big Data to Small Data
Turn Big Data to Small Data Use Qlik to Utilize Distributed Systems and Document Databases October, 2014 Stig Magne Henriksen Image: kdnuggets.com From Big Data to Small Data Agenda When do we have a Big
More informationWA2192 Introduction to Big Data and NoSQL EVALUATION ONLY
WA2192 Introduction to Big Data and NoSQL Web Age Solutions Inc. USA: 1-877-517-6540 Canada: 1-866-206-4644 Web: http://www.webagesolutions.com The following terms are trademarks of other companies: Java
More informationOLTP Meets Bigdata, Challenges, Options, and Future Saibabu Devabhaktuni
OLTP Meets Bigdata, Challenges, Options, and Future Saibabu Devabhaktuni Agenda Database trends for the past 10 years Era of Big Data and Cloud Challenges and Options Upcoming database trends Q&A Scope
More informationMicrosoft Azure Data Technologies: An Overview
David Chappell Microsoft Azure Data Technologies: An Overview Sponsored by Microsoft Corporation Copyright 2014 Chappell & Associates Contents Blobs... 3 Running a DBMS in a Virtual Machine... 4 SQL Database...
More informationThe evolution of database technology (II) Huibert Aalbers Senior Certified Executive IT Architect
The evolution of database technology (II) Huibert Aalbers Senior Certified Executive IT Architect IT Insight podcast This podcast belongs to the IT Insight series You can subscribe to the podcast through
More informationA Distributed Storage Schema for Cloud Computing based Raster GIS Systems. Presented by Cao Kang, Ph.D. Geography Department, Clark University
A Distributed Storage Schema for Cloud Computing based Raster GIS Systems Presented by Cao Kang, Ph.D. Geography Department, Clark University Cloud Computing and Distributed Database Management System
More informationMove Data from Oracle to Hadoop and Gain New Business Insights
Move Data from Oracle to Hadoop and Gain New Business Insights Written by Lenka Vanek, senior director of engineering, Dell Software Abstract Today, the majority of data for transaction processing resides
More informationPeers 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 informationPreparing Your Data For Cloud
Preparing Your Data For Cloud Narinder Kumar Inphina Technologies 1 Agenda Relational DBMS's : Pros & Cons Non-Relational DBMS's : Pros & Cons Types of Non-Relational DBMS's Current Market State Applicability
More informationMarket Basket Analysis Algorithm with Map/Reduce of Cloud Computing
Market Basket Analysis Algorithm with Map/Reduce of Cloud Computing Jongwook Woo Computer Information Systems Department California State University Los Angeles, CA Abstract Map/Reduce approach has been
More informationSOLVING REAL AND BIG (DATA) PROBLEMS USING HADOOP. Eva Andreasson Cloudera
SOLVING REAL AND BIG (DATA) PROBLEMS USING HADOOP Eva Andreasson Cloudera Most FAQ: Super-Quick Overview! The Apache Hadoop Ecosystem a Zoo! Oozie ZooKeeper Hue Impala Solr Hive Pig Mahout HBase MapReduce
More informationREAL-TIME BIG DATA ANALYTICS
www.leanxcale.com info@leanxcale.com REAL-TIME BIG DATA ANALYTICS Blending Transactional and Analytical Processing Delivers Real-Time Big Data Analytics 2 ULTRA-SCALABLE FULL ACID FULL SQL DATABASE LeanXcale
More informationThe Quest for Extreme Scalability
The Quest for Extreme Scalability In times of a growing audience, very successful internet applications have all been facing the same database issue: while web servers can be multiplied without too many
More informationMaking Sense of Big Data in Insurance
Making Sense of Big Data in Insurance Amir Halfon, CTO, Financial Services, MarkLogic Corporation BIG DATA?.. SLIDE: 2 The Evolution of Data Management For your application data! Application- and hardware-specific
More informationInformation Builders Mission & Value Proposition
Value 10/06/2015 2015 MapR Technologies 2015 MapR Technologies 1 Information Builders Mission & Value Proposition Economies of Scale & Increasing Returns (Note: Not to be confused with diminishing returns
More informationKeywords Big Data; OODBMS; RDBMS; hadoop; EDM; learning analytics, data abundance.
Volume 4, Issue 11, November 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Analytics
More informationBig Data and Hadoop for the Executive A Reference Guide
Big Data and Hadoop for the Executive A Reference Guide Overview The amount of information being collected by companies today is incredible. Wal- Mart has 460 terabytes of data, which, according to the
More informationHadoop: 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 informationTransforming the Telecoms Business using Big Data and Analytics
Transforming the Telecoms Business using Big Data and Analytics Event: ICT Forum for HR Professionals Venue: Meikles Hotel, Harare, Zimbabwe Date: 19 th 21 st August 2015 AFRALTI 1 Objectives Describe
More informationTRAINING PROGRAM ON BIGDATA/HADOOP
Course: Training on Bigdata/Hadoop with Hands-on Course Duration / Dates / Time: 4 Days / 24th - 27th June 2015 / 9:30-17:30 Hrs Venue: Eagle Photonics Pvt Ltd First Floor, Plot No 31, Sector 19C, Vashi,
More informationApache Sqoop. A Data Transfer Tool for Hadoop
Apache Sqoop A Data Transfer Tool for Hadoop Arvind Prabhakar, Cloudera Inc. Sept 21, 2011 What is Sqoop? Allows easy import and export of data from structured data stores: o Relational Database o Enterprise
More informationReference Architecture, Requirements, Gaps, Roles
Reference Architecture, Requirements, Gaps, Roles The contents of this document are an excerpt from the brainstorming document M0014. The purpose is to show how a detailed Big Data Reference Architecture
More informationLarge scale processing using Hadoop. Ján Vaňo
Large scale processing using Hadoop Ján Vaňo What is Hadoop? Software platform that lets one easily write and run applications that process vast amounts of data Includes: MapReduce offline computing engine
More informationHow to Enhance Traditional BI Architecture to Leverage Big Data
B I G D ATA How to Enhance Traditional BI Architecture to Leverage Big Data Contents Executive Summary... 1 Traditional BI - DataStack 2.0 Architecture... 2 Benefits of Traditional BI - DataStack 2.0...
More informationToward Lightweight Transparent Data Middleware in Support of Document Stores
Toward Lightweight Transparent Data Middleware in Support of Document Stores Kun Ma, Ajith Abraham Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan, Jinan,
More informationUnderstanding NoSQL on Microsoft Azure
David Chappell Understanding NoSQL on Microsoft Azure Sponsored by Microsoft Corporation Copyright 2014 Chappell & Associates Contents Data on Azure: The Big Picture... 3 Relational Technology: A Quick
More informationChukwa, Hadoop subproject, 37, 131 Cloud enabled big data, 4 Codd s 12 rules, 1 Column-oriented databases, 18, 52 Compression pattern, 83 84
Index A Amazon Web Services (AWS), 50, 58 Analytics engine, 21 22 Apache Kafka, 38, 131 Apache S4, 38, 131 Apache Sqoop, 37, 131 Appliance pattern, 104 105 Application architecture, big data analytics
More informationLecture 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 informationUsing RDBMS, NoSQL or Hadoop?
Using RDBMS, NoSQL or Hadoop? DOAG Conference 2015 Jean- Pierre Dijcks Big Data Product Management Server Technologies Copyright 2014 Oracle and/or its affiliates. All rights reserved. Data Ingest 2 Ingest
More informationSearch and Real-Time Analytics on Big Data
Search and Real-Time Analytics on Big Data Sewook Wee, Ryan Tabora, Jason Rutherglen Accenture & Think Big Analytics Strata New York October, 2012 Big Data: data becomes your core asset. It realizes its
More informationBig Data Course Highlights
Big Data Course Highlights The Big Data course will start with the basics of Linux which are required to get started with Big Data and then slowly progress from some of the basics of Hadoop/Big Data (like
More informationBig Data & QlikView. Democratizing Big Data Analytics. David Freriks Principal Solution Architect
Big Data & QlikView Democratizing Big Data Analytics David Freriks Principal Solution Architect TDWI Vancouver Agenda What really is Big Data? How do we separate hype from reality? How does that relate
More informationChallenges for Data Driven Systems
Challenges for Data Driven Systems Eiko Yoneki University of Cambridge Computer Laboratory Quick History of Data Management 4000 B C Manual recording From tablets to papyrus to paper A. Payberah 2014 2
More informationData-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