Presented by: Dardan Xhymshiti Fall 2015.  Paper type: Demo  Authors: Ashoke S., Jayant R. Harits (Indian Institute of Science, Bangalore)  Conference:

Slides:

Advertisements

Similar presentations

1 of 15 Information Access Internal Information © FAO 2005 IMARK Investing in Information for Development Information Access Internal Information.

Advertisements

1 ICS-FORTH EU-NSF Semantic Web Workshop 3-5 Oct Christophides Vassilis Database Technology for the Semantic Web Vassilis Christophides Dimitris Plexousakis.

A lightweight framework for testing database applications Joe Tang Eric Lo Hong Kong Polytechnic University.

Itembanking Infrastructure: A Proposal for a Decoupled Architecture Mhairi McAlpine and Linn van der Zanden Scottish Qualifications Authority CAA Conference.

CS 431 The Semester in Elevator Speak Carl Lagoze – Cornell University May 5, 2004.

CSCU 411 Software Engineering Chapter 2 Introduction to Software Engineering Management.

@MAKERERE DSpace Development At Makerere University An overview of the Uganda Science Digital Library (USDL) Pilot Project A paper presented at the DSpace.

Access Trisha Cummings. Access 1.Microsoft Access is a relational database management system from Microsoft, 2.Skilled software developers and data architects.

Presented By: Emiliano Miranda. Goals Motivate database community to contribute to gaming Spread use of database technology beyond traditional approaches.

CSTEP Cluster Sampling for Tail Estimation of Probability.

JTIP Transforming 2D into 3D Jose Amenero CS491B Fall 2005 Presentation.

Project IST_1999_ ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000 The ARTISTE.

Progress Report 11/1/01 Matt Bridges. Overview Data collection and analysis tool for web site traffic Lets website administrators know who is on their.

CPSC-608 Database Systems Fall 2010 Instructor: Jianer Chen Office: HRBB 315C Phone: Notes 1.

Where Do I Start REFERENCE: LEARNING WEB DESIGN (4 TH EDITION) BY ROBBINS 2012 – CHAPTER 1 (PP. 3 – 14)

Design, Implementation and Maintenance

Introduction to the course January 9, Points to Cover  What is GIS?  GIS and Geographic Information Science  Components of GIS Spatial data.

Chapter 1 Overview of Databases and Transaction Processing.

SDC PUBLICATIONS © 2011 Chapter 2 Basic Object Construction and Dynamic Input Learning Objectives:  Referencing the WCS.  Use the Startup dialog box.

Programming Languages – Coding schemes used to write both systems and application software A programming language is an abstraction mechanism. It enables.

QCDgrid Technology James Perry, George Beckett, Lorna Smith EPCC, The University Of Edinburgh.

October 30, 2008 Extensible Workflow Management for Simmod ESUG32, Frankfurt, Oct 30, 2008 Alexander Scharnweber (DLR) October 30, 2008 Slide 1 > Extensible.

Administration and Academic Staff Performance Management System Using Content Management System(CMS) Technologies 指導教授： Ku-Yaw Chang 演講者： Tsui-Pw Sun 日期：

© 2010 IBM Corporation © 2011 IBM Corporation September 6, 2012 NCDHHS FAMS Overview for Behavioral Health Managed Care Organizations.

Software Engineering 2003 Jyrki Nummenmaa 1 CASE Tools CASE = Computer-Aided Software Engineering A set of tools to (optimally) assist in each.

2131 Structured System Analysis and Design By Germaine Cheung Hong Kong Computer Institute Lecture 2 (Chapter 2) Information System Building Blocks.

LIS 506 (Fall 2006) LIS 506 Information Technology Week 11: Digital Libraries & Institutional Repositories.

Microsoft Business Intelligence Environment Overview.

1 Principles of Computer Science I Prof. Nadeem Abdul Hamid CSC 120 – Fall 2005 Lecture Unit 10 - Testing.

Introduction To System Analysis and Design

Presented by : Sébastien Lauzon (Finance Canada).

Information Builders : SmartMart Seon-Min Rhee Visualization & Simulation Lab Dept. of Computer Science & Engineering Ewha Womans University.

Graph Data Analytics Arka Mukherjee, Ph.D. Global IDs Resolving Complexity at an Enterprise Scale.

Big Data Analytics Large-Scale Data Management Big Data Analytics Data Science and Analytics How to manage very large amounts of data and extract value.

CS Data Structures I Chapter 2 Principles of Programming & Software Engineering.

GO-ESSP Workshop, LLNL, Livermore, CA, Jun 19-21, 2006, Center for ATmosphere sciences and Earthquake Researches Construction of e-science Environment.

ECE450 - Software Engineering II1 ECE450 – Software Engineering II Today: Introduction to Software Architecture.

AUDIT IN COMPUTERIZED ENVIRONMENT

Non-Traditional Databases. Reading 1. Scientific data management at the Johns Hopkins institute for data intensive engineering and science Yanif Ahmad,

Managing Learning Objects in Large Scale Courseware Authoring Studio Ivo Marinchev, Ivo Hristov Institute of Information Technologies Bulgarian Academy.

Cyberinfrastructure Overview Russ Hobby, Internet2 ECSU CI Days 4 January 2008.

© Geodise Project, University of Southampton, Integrating Data Management into Engineering Applications Zhuoan Jiao, Jasmin.

SDC PUBLICATIONS © 2012 Chapter Two Basic Object Construction and Dynamic Input Learning Objectives:  Referencing the WCS.  Use the Startup dialog box.

ANALYSIS PHASE OF BUSINESS SYSTEM DEVELOPMENT METHODOLOGY.

Presented by: Dardan Xhymshiti Fall  Type: Demonstration paper  Authors:  International conference on Very Large Data Bases. Erich SchubertAlexander.

Diversity’s Role in Technology Thought Leadership Diverse teams Patenting Conference papers Open source software NCWIT tracks women’s participation in.

Angela McCarthy CP5080, SP  Received: 14 August 2008  Revised: 13 November 2008  Written by Sherif Sakr of University of New South Wales, Australia.

The RE Project Development Challenge  Most countries know they have RE potentials. However, they lack the projects to achieve the desired deployment.

Presented by: Dardan Xhymshiti Fall  Authors: Eli Cortez, Philip A.Bernstein, Yeye He, Lev Novik (Microsoft Corporation)  Conference: VLDB  Type:

Presented by: Dardan Xhymshiti Fall  Type: Research paper  Authors:  International conference on Very Large Data Bases. Yoonjar Park Seoul National.

Oncology Patient Enrollment Network OPEN OPEN Documentation Lucille Patrichuk OPEN Implementation Manager OPEN Conference September 18, 2008.

Database Overview What is a database? What types of databases are there? How are databases more powerful than spreadsheets?

By Durga Dasari. DbFit - DB Unit and Integration test tool  Test-driven database development. Write readable, easy- to-maintain unit and integration.

Space FSW Conference 2016 Matthew Conte Software Engineer

Overview of the model of Regional Centre of Competence for One-Stop-Shops developed under the ICHNOS project: what is missing or needs to be upgraded?

Role of the Systems Analyst

National 5 Computing Science Specimen Question Paper

Algorithms An algorithm is a sequence of steps written in the form of English phrases that specific the tasks that are performed while solving the problem.It.

Chair of Tech Committee, BetterGrids.org

Compiler Construction

Chapter 2 Database Environment.

Data Warehouse and OLAP

Digital Repositories The management of learning objects

Dr. Awad Khalil Computer Science Department AUC

Dr. Awad Khalil Computer Science Department AUC

Test Tools Tools can be useful but are they worth it? Cost

Data science course in Bangalore.

Discussion Topic iv, Metadata and quality reporting

Data Warehouse and OLAP

Presentation transcript:

Presented by: Dardan Xhymshiti Fall 2015

 Paper type: Demo  Authors: Ashoke S., Jayant R. Harits (Indian Institute of Science, Bangalore)  Conference: VLDB

 The data management community has been almost completely focused on construction and development of Big Data systems. A little attention was paid to testing such systems.  Traditional testing techniques involving:  Construction of databases  Regression query suites  a re not practicable at Big Data Scale

 The lack of efficient testing tools for Big Data systems.

 The authors have implemented a graphical tool called CODD (Constructing Dataless Databases).  This tool can simulate data base environments with the desired meta-data characteristics without the need to store any content.  CODD has implemented a sort-based algorithm to ensure that meta-data input by the user are both legal and consistent.  CODD deals with the Volume aspect of Big Data.  CODD is written in Java, running 50K LOC.