University of Minnesota
|
|
|
- Helena Rodgers
- 10 years ago
- Views:
Transcription
1 University of Minnesota Ubiquitous Location-based Services: A Database Perspective Mohamed F. Mokbel University of Minnesota (On Sabbatical at Microsoft Research, Redmond Lab) June 2012 NSF Workshop - Istanbul 1
2 Ubiquitous Location-based Services Scalability Privacy Personalization Web 2.0 2
3 Scalable Location-based Services Built-in Approach The Place Server SpatialHadoop GIS Interface DBMS LBS Query Processing LBS-Index Spatial Language Spatial Operators Early Pruning Grid File User Programs Pig Latin Hadoop Java APIS Job Monitoring and Scheduling MapReduce Runtime Storage (HDFS) 3
4 Privacy-Aware Location-based Services Casper A privacy-preserving locationbased database server that is still able to answer locationbased queries without the need to know the user exact location 3: Candidate Answer 4: Answer Location-based Database Server Location Anonymizer Privacy-aware Query Processor 2: Query + Cloaked Spatial Area 1: Query + Location 4
5 Personalized Location-based Services CaredDB. A database that is aware of user preferences and surrounding contextual information, and uses this information to give personalized query answers to the user. SELECT * FROM Restaurants R DBMS Query Processing and Optimization FlexPref SELECT * FROM Restaurants R PREFERRING MIN R.Price, MAX R.Rating, MIN R.WaitTime, MIN TravelTime Top-k Dom Top-k Skyline K-Dom K-Freq 5
6 Location-based Services 2.0 Sindbad is a social networking system that injects the location-awareness into the core functionally of social networks. Each decision in Sindbad is taken while consulting the locations of both users and events. PRIVACY And, they lived happily ever after 6
7 The Family of Towards Papers M. F. Mokbel, X. Xiong, and W. G. Aref. "Towards Scalable Location-aware Services: Requirements and Research Issues". In ACM GIS Paper: M. F. Mokbel, X. Xiong, and W. G. Aref. "SINA: Scalable Incremental Processing of Continuous Queries in Spatiotemporal Databases". In ACM SIGMOD (274 citations) Demo: M. F. Mokbel, X. Xiong, W. G. Aref, and M, Hammad. " PLACE: A Query Processor for Handling Real-time Spatiotemporal Data Streams In VLDB M. F. Mokbel. "Towards Privacy-Aware Location-Based Database Servers". In PDM 2006 (co-located with ICDE 2006). Paper: M. F. Mokbel, C.Y. Chow and W. G. Aref. "The New Casper: Query Processing for Location Services without Compromising Privacy". In VLDB (431 citations) Demo: M. F. Mokbel, C.Y. Chow and W. G. Aref. "The New Casper: A Privacy-Aware Location-Based Database Server. In ICDE M. F. Mokbel and J. J. Levandoski. "Towards Context and Preference-Aware Location-based Database Systems". In MobiDE 2009 (located with SIGMOD 2009). Paper: J. J. Levandoski, M. F. Mokbel, and M. Khalefa. "FlexPref: A Framework for Extensible Preference Evaluation in Database Systems". In ICDE Demo: J. J. Levandoski, M. F. Mokbel, and M. Khalefa. " CareDB: A Context and Preference-Aware Location-Based Database System. In VLDB C-Y. Chow, J. Bao, and M. F. Mokbel "Towards Location-based Social Networking Services". In LBSN 2010 (located with SIGSPATIAL 2010). Paper: J. J. Levandoski, M. Sarwat, A. Eldawy, and M. F. Mokbel. "LARS: A Location-Aware Recommender System. In ICDE Demo: Mohamed Sarwat, Jie Bao, Ahmed Eldawy, Justin J. Levandoski, Amr Magdy, Mohamed F. Mokbel. Sindbad: A Location-based Social Networking System. In SIGMOD
8 Acknowledgments Microsoft Research. Microsoft Unrestricted Gift, (2010). $15,000 NSF- CAREER: Extensible Personalization of Spatial and Spatiotemporal Database Management Systems (2010). $530,000 Microsoft Research. Microsoft Unrestricted Gift, (2010). $20,000 Microsoft Research. Microsoft Unrestricted Gift, (2010). $20,000 NSF- IIS: Towards Ubiquitous Location Services: Scalability and Privacy of Location-based Continuous Queries (2008). $449,976 NSF- IIS: Preference- And Context-Aware Query Processing for Location-based Data-based servers (2008). $237,985 NSF- CNS: Infrastructure for Research in Spatio-Temporal and Context-Aware Systems and Applications (2007). $140,403 8
SpatialHadoop: Towards Flexible and Scalable Spatial Processing using MapReduce
SpatialHadoop: Towards Flexible and Scalable Spatial Processing using MapReduce Ahmed Eldawy Expected Graduation: December 2015 Supervised by: Mohamed F. Mokbel Computer Science and Engineering Department
FlexPref: A Framework for Extensible Preference Evaluation in Database Systems
1 FlexPref: A Framework for Extensible Preference Evaluation in Database Systems Justin J. Levandoski 1, Mohamed F. Mokbel 2, Mohamed E. Khalefa 3 Department of Computer Science and Engineering, University
MNTG: An Extensible Web-based Traffic Generator
MNTG: An Extensible Web-based Traffic Generator Mohamed F. Mokbel 1, Louai Alarabi 2, Jie Bao 3, Ahmed Eldawy 4, Amr Magdy 5, Mohamed Sarwat 6, Ethan Waytas 7, Steven Yackel 8 1,2,3,4,5,6,7 University
Monitoring and Mining Sensor Data in Cloud Computing Environments
Monitoring and Mining Sensor Data in Cloud Computing Environments Wen-Chih Peng and Yu-Chee Tseng Dept. of Computer Science National Chiao Tung University {wcpeng, yctseng}@cs.nctu.edu.tw 1 Outline Sensor
Workshop on Hadoop with Big Data
Workshop on Hadoop with Big Data Hadoop? Apache Hadoop is an open source framework for distributed storage and processing of large sets of data on commodity hardware. Hadoop enables businesses to quickly
Big Data: Using ArcGIS with Apache Hadoop. Erik Hoel and Mike Park
Big Data: Using ArcGIS with Apache Hadoop Erik Hoel and Mike Park Outline Overview of Hadoop Adding GIS capabilities to Hadoop Integrating Hadoop with ArcGIS Apache Hadoop What is Hadoop? Hadoop is a scalable
Introduction to Big data. Why Big data? Case Studies. Introduction to Hadoop. Understanding Features of Hadoop. Hadoop Architecture.
Big Data Hadoop Administration and Developer Course This course is designed to understand and implement the concepts of Big data and Hadoop. This will cover right from setting up Hadoop environment in
Big Data, Cloud Computing, Spatial Databases Steven Hagan Vice President Server Technologies
Big Data, Cloud Computing, Spatial Databases Steven Hagan Vice President Server Technologies Big Data: Global Digital Data Growth Growing leaps and bounds by 40+% Year over Year! 2009 =.8 Zetabytes =.08
Cloud Computing Training
Cloud Computing Training TechAge Labs Pvt. Ltd. Address : C-46, GF, Sector 2, Noida Phone 1 : 0120-4540894 Phone 2 : 0120-6495333 TechAge Labs 2014 version 1.0 Cloud Computing Training Cloud Computing
SOLE: Scalable On-Line Execution of Continuous Queries on Spatio-temporal Data Streams
vldb manuscript No. (will be inserted by the editor) Mohamed F. Mokbel Walid G. Aref SOLE: Scalable On-Line Execution of Continuous Queries on Spatio-temporal Data Streams the date of receipt and acceptance
Private Sharing of User Location over Online Social Networks
Private Sharing of User Location over Online Social Networks Julien Freudiger, Raoul Neu, and Jean-Pierre Hubaux School of Computer and Communication Sciences, EPFL, Switzerland [email protected]
Big Data Spatial Analytics An Introduction
2013 Esri International User Conference July 8 12, 2013 San Diego, California Technical Workshop Big Data Spatial Analytics An Introduction Marwa Mabrouk Mansour Raad Esri iu UC2013. Technical Workshop
Cloud based Spatial Cloaking for Mobile User Privacy Preservation
Cloud based Spatial Cloaking for Mobile User Privacy Preservation Revathy Gangadaren M Department of Computer Science and Engineering, MES College of Engineering Kuttippuram, Kerala, India Lijo V. P. Department
An Industrial Perspective on the Hadoop Ecosystem. Eldar Khalilov Pavel Valov
An Industrial Perspective on the Hadoop Ecosystem Eldar Khalilov Pavel Valov agenda 03.12.2015 2 agenda Introduction 03.12.2015 2 agenda Introduction Research goals 03.12.2015 2 agenda Introduction Research
Hadoop s Entry into the Traditional Analytical DBMS Market. Daniel Abadi Yale University August 3 rd, 2010
Hadoop s Entry into the Traditional Analytical DBMS Market Daniel Abadi Yale University August 3 rd, 2010 Data, Data, Everywhere Data explosion Web 2.0 more user data More devices that sense data More
S06: Open-Source Stack for Cloud Computing
S06: Open-Source Stack for Cloud Computing Milind Bhandarkar Yahoo! Richard Gass Intel Michael Kozuch Intel Michael Ryan Intel 1 Agenda Sessions: (A) Introduction 8.30-9.00 (B) Hadoop 9.00-10.00 Break
The Era of Big Spatial Data
The Era of Big Spatial Data Ahmed Eldawy Mohamed F. Mokbel Computer Science and Engineering Department University of Minnesota, Minneapolis, Minnesota 55455 Email: {eldawy,mokbel}@cs.umn.edu Abstract The
Using an In-Memory Data Grid for Near Real-Time Data Analysis
SCALEOUT SOFTWARE Using an In-Memory Data Grid for Near Real-Time Data Analysis by Dr. William Bain, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 IN today s competitive world, businesses
Xianrui Meng. MCS 138, 111 Cummington Mall Department of Computer Science Boston, MA 02215 +1 (857) 540 0460 [email protected] www.xianruimeng.
Xianrui Meng MCS 138, 111 Cummington Mall Boston, MA 02215 +1 (857) 540 0460 [email protected] www.xianruimeng.org RESEARCH INTERESTS In my research, I investigate practical privacy-preserving solutions
Towards Privacy aware Big Data analytics
Towards Privacy aware Big Data analytics Pietro Colombo, Barbara Carminati, and Elena Ferrari Department of Theoretical and Applied Sciences, University of Insubria, Via Mazzini 5, 21100 - Varese, Italy
Big Data and Location-Based Services: An Introduction
Big Data and Location-Based Services: An Introduction Yunjun Gao ( 高 云 君 ) College of Computer Science Zhejiang University [email protected] 13957167510 Information Explosion 988EB (1EB = 1024PB) data will
Hadoop. MPDL-Frühstück 9. Dezember 2013 MPDL INTERN
Hadoop MPDL-Frühstück 9. Dezember 2013 MPDL INTERN Understanding Hadoop Understanding Hadoop What's Hadoop about? Apache Hadoop project (started 2008) downloadable open-source software library (current
Mr. Apichon Witayangkurn [email protected] Department of Civil Engineering The University of Tokyo
Sensor Network Messaging Service Hive/Hadoop Mr. Apichon Witayangkurn [email protected] Department of Civil Engineering The University of Tokyo Contents 1 Introduction 2 What & Why Sensor Network
You should have a working knowledge of the Microsoft Windows platform. A basic knowledge of programming is helpful but not required.
What is this course about? This course is an overview of Big Data tools and technologies. It establishes a strong working knowledge of the concepts, techniques, and products associated with Big Data. Attendees
Dart: A Geographic Information System on Hadoop
Dart: A Geographic Information System on Hadoop Hong Zhang, Zhibo Sun, Zixia Liu, Chen Xu and Liqiang Wang Department of Computer Science, University of Wyoming, USA Department of Geography, University
Using OBIEE for Location-Aware Predictive Analytics
Using OBIEE for Location-Aware Predictive Analytics Jean Ihm, Principal Product Manager, Oracle Spatial and Graph Jayant Sharma, Director, Product Management, Oracle Spatial and Graph, MapViewer Oracle
Cloud Application Development (SE808, School of Software, Sun Yat-Sen University) Yabo (Arber) Xu
Lecture 4 Introduction to Hadoop & GAE Cloud Application Development (SE808, School of Software, Sun Yat-Sen University) Yabo (Arber) Xu Outline Introduction to Hadoop The Hadoop ecosystem Related projects
Hortonworks & SAS. Analytics everywhere. Page 1. Hortonworks Inc. 2011 2014. All Rights Reserved
Hortonworks & SAS Analytics everywhere. Page 1 A change in focus. A shift in Advertising From mass branding A shift in Financial Services From Educated Investing A shift in Healthcare From mass treatment
Big Data and Location-Based Services: An Introduction
Big Data and Location-Based Services: An Introduction Yunjun Gao ( 高 云 君 ) College of Computer Science Zhejiang University [email protected] 13957167510 Information Explosion 988EB (1EB = 1024PB) data will
How Companies are! Using Spark
How Companies are! Using Spark And where the Edge in Big Data will be Matei Zaharia History Decreasing storage costs have led to an explosion of big data Commodity cluster software, like Hadoop, has made
Integrate Master Data with Big Data using Oracle Table Access for Hadoop
Integrate Master Data with Big Data using Oracle Table Access for Hadoop Kuassi Mensah Oracle Corporation Redwood Shores, CA, USA Keywords: Hadoop, BigData, Hive SQL, Spark SQL, HCatalog, StorageHandler
A A Survey on Recommendations in Location-based Social Networks
A A Survey on Recommendations in Location-based Social Networks Jie Bao, University of Minnesota Yu Zheng, Microsoft Research Asia David Wilkie, University of North Carolina Mohamed F. Mokbel, University
The basic data mining algorithms introduced may be enhanced in a number of ways.
DATA MINING TECHNOLOGIES AND IMPLEMENTATIONS The basic data mining algorithms introduced may be enhanced in a number of ways. Data mining algorithms have traditionally assumed data is memory resident,
Tackling Big Data with MATLAB Adam Filion Application Engineer MathWorks, Inc.
Tackling Big Data with MATLAB Adam Filion Application Engineer MathWorks, Inc. 2015 The MathWorks, Inc. 1 Challenges of Big Data Any collection of data sets so large and complex that it becomes difficult
CSE 590: Special Topics Course ( Supercomputing ) Lecture 10 ( MapReduce& Hadoop)
CSE 590: Special Topics Course ( Supercomputing ) Lecture 10 ( MapReduce& Hadoop) Rezaul A. Chowdhury Department of Computer Science SUNY Stony Brook Spring 2016 MapReduce MapReduce is a programming model
Spatial Data Analysis Using MapReduce Models
Advancing a geospatial framework to the MapReduce model Roberto Giachetta Abstract In recent years, cloud computing has reached many areas of computer science including geographic and remote sensing information
MapReduce and Hadoop Distributed File System
MapReduce and Hadoop Distributed File System 1 B. RAMAMURTHY Contact: Dr. Bina Ramamurthy CSE Department University at Buffalo (SUNY) [email protected] http://www.cse.buffalo.edu/faculty/bina Partially
Challenges in Database Security. Elisa Bertino CERIAS Purdue University
Challenges in Database Security Elisa Bertino CERIAS Purdue University Why Today is Database Security more Challenging Data security concerns are evolving We have massive amounts of data Data is very valuable
BIG DATA HANDS-ON WORKSHOP Data Manipulation with Hive and Pig
BIG DATA HANDS-ON WORKSHOP Data Manipulation with Hive and Pig Contents Acknowledgements... 1 Introduction to Hive and Pig... 2 Setup... 2 Exercise 1 Load Avro data into HDFS... 2 Exercise 2 Define an
Oracle Platform GIS & Location-Based Services. Fred Louis Solution Architect Ohio Valley
Oracle Platform GIS & Location-Based Services Fred Louis Solution Architect Ohio Valley Overview Geospatial Technology Trends Oracle s Spatial Technologies Oracle10g Locator Spatial Oracle Application
Accelerating Hadoop MapReduce Using an In-Memory Data Grid
Accelerating Hadoop MapReduce Using an In-Memory Data Grid By David L. Brinker and William L. Bain, ScaleOut Software, Inc. 2013 ScaleOut Software, Inc. 12/27/2012 H adoop has been widely embraced for
Real-time Streaming Analysis for Hadoop and Flume. Aaron Kimball odiago, inc. OSCON Data 2011
Real-time Streaming Analysis for Hadoop and Flume Aaron Kimball odiago, inc. OSCON Data 2011 The plan Background: Flume introduction The need for online analytics Introducing FlumeBase Demo! FlumeBase
System requirements. Java SE Runtime Environment(JRE) 7 (32bit) Java SE Runtime Environment(JRE) 6 (64bit) Java SE Runtime Environment(JRE) 7 (64bit)
Hitachi Solutions Geographical Information System Client Below conditions are system requirements for Hitachi Solutions Geographical Information System Client. 1/5 Hitachi Solutions Geographical Information
Scalable Network Measurement Analysis with Hadoop. Taghrid Samak and Daniel Gunter Advanced Computing for Sciences, LBNL
Scalable Network Measurement Analysis with Hadoop Taghrid Samak and Daniel Gunter Advanced Computing for Sciences, LBNL Outline Motivation Hadoop overview Approach doing the right thing, Avro what worked,
International Journal of Engineering Research ISSN: 2348-4039 & Management Technology November-2015 Volume 2, Issue-6
International Journal of Engineering Research ISSN: 2348-4039 & Management Technology Email: [email protected] November-2015 Volume 2, Issue-6 www.ijermt.org Modeling Big Data Characteristics for Discovering
Big Data Analytics Platform @ Nokia
Big Data Analytics Platform @ Nokia 1 Selecting the Right Tool for the Right Workload Yekesa Kosuru Nokia Location & Commerce Strata + Hadoop World NY - Oct 25, 2012 Agenda Big Data Analytics Platform
2015 The MathWorks, Inc. 1
25 The MathWorks, Inc. 빅 데이터 및 다양한 데이터 처리 위한 MATLAB의 인터페이스 환경 및 새로운 기능 엄준상 대리 Application Engineer MathWorks 25 The MathWorks, Inc. 2 Challenges of Data Any collection of data sets so large and complex
Fast Data in the Era of Big Data: Twitter s Real-
Fast Data in the Era of Big Data: Twitter s Real- Time Related Query Suggestion Architecture Gilad Mishne, Jeff Dalton, Zhenghua Li, Aneesh Sharma, Jimmy Lin Presented by: Rania Ibrahim 1 AGENDA Motivation
Katta & 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: [email protected] 2 Intro Business intelligence reports from
Implement 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
High Performance Spatial Queries and Analytics for Spatial Big Data. Fusheng Wang. Department of Biomedical Informatics Emory University
High Performance Spatial Queries and Analytics for Spatial Big Data Fusheng Wang Department of Biomedical Informatics Emory University Introduction Spatial Big Data Geo-crowdsourcing:OpenStreetMap Remote
TRAINING 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,
Hadoop 只 支 援 用 Java 開 發 嘛? Is Hadoop only support Java? 總 不 能 全 部 都 重 新 設 計 吧? 如 何 與 舊 系 統 相 容? Can Hadoop work with existing software?
Hadoop 只 支 援 用 Java 開 發 嘛? Is Hadoop only support Java? 總 不 能 全 部 都 重 新 設 計 吧? 如 何 與 舊 系 統 相 容? Can Hadoop work with existing software? 可 以 跟 資 料 庫 結 合 嘛? Can Hadoop work with Databases? 開 發 者 們 有 聽 到
Big Data - Security and Privacy
Big Data - Security and Privacy Elisa Bertino CS Department, Cyber Center, and CERIAS Purdue University Cyber Center! Big Data EveryWhere! Lots of data is being collected, warehoused, and mined Web data,
Big Data Training - Hackveda
Big Data Training - Hackveda Become a Hackveda Certified Big Data Professional - (Beginner) Skill level: Beginner Training fee: INR 9000 only (Topics covered: 108) Chief Trainer: Mr. Devanshu Shukla Training
Open Cirrus : A Global Testbed for Cloud Computing Research
Open Cirrus : A Global Testbed for Cloud Computing Research David O Hallaron Director, Intel Labs Pittsburgh Carnegie Mellon University Open Cirrus Testbed http://opencirrus.intel-research.net Sponsored
Hadoop: A Framework for Data- Intensive Distributed Computing. CS561-Spring 2012 WPI, Mohamed Y. Eltabakh
1 Hadoop: A Framework for Data- Intensive Distributed Computing CS561-Spring 2012 WPI, Mohamed Y. Eltabakh 2 What is Hadoop? Hadoop is a software framework for distributed processing of large datasets
Hadoop Ecosystem B Y R A H I M A.
Hadoop Ecosystem B Y R A H I M A. History of Hadoop Hadoop was created by Doug Cutting, the creator of Apache Lucene, the widely used text search library. Hadoop has its origins in Apache Nutch, an open
Using In-Memory Computing to Simplify Big Data Analytics
SCALEOUT SOFTWARE Using In-Memory Computing to Simplify Big Data Analytics by Dr. William Bain, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 T he big data revolution is upon us, fed
Horizontal Aggregations In SQL To Generate Data Sets For Data Mining Analysis In An Optimized Manner
24 Horizontal Aggregations In SQL To Generate Data Sets For Data Mining Analysis In An Optimized Manner Rekha S. Nyaykhor M. Tech, Dept. Of CSE, Priyadarshini Bhagwati College of Engineering, Nagpur, India
I/O Considerations in Big Data Analytics
Library of Congress I/O Considerations in Big Data Analytics 26 September 2011 Marshall Presser Federal Field CTO EMC, Data Computing Division 1 Paradigms in Big Data Structured (relational) data Very
ISSN: 2321-7782 (Online) Volume 3, Issue 4, April 2015 International Journal of Advance Research in Computer Science and Management Studies
ISSN: 2321-7782 (Online) Volume 3, Issue 4, April 2015 International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online
An Approach to Implement Map Reduce with NoSQL Databases
www.ijecs.in International Journal Of Engineering And Computer Science ISSN: 2319-7242 Volume 4 Issue 8 Aug 2015, Page No. 13635-13639 An Approach to Implement Map Reduce with NoSQL Databases Ashutosh
BIG DATA TRENDS AND TECHNOLOGIES
BIG DATA TRENDS AND TECHNOLOGIES THE WORLD OF DATA IS CHANGING Cloud WHAT IS BIG DATA? Big data are datasets that grow so large that they become awkward to work with using onhand database management tools.
Privacy-preserving Data-aggregation for Internet-of-things in Smart Grid
Privacy-preserving Data-aggregation for Internet-of-things in Smart Grid Aakanksha Chowdhery Postdoctoral Researcher, Microsoft Research ac@microsoftcom Collaborators: Victor Bahl, Ratul Mahajan, Frank
How To Use Hadoop For Gis
2013 Esri International User Conference July 8 12, 2013 San Diego, California Technical Workshop Big Data: Using ArcGIS with Apache Hadoop David Kaiser Erik Hoel Offering 1330 Esri UC2013. Technical Workshop.
How To Analyze Log Files In A Web Application On A Hadoop Mapreduce System
Analyzing Web Application Log Files to Find Hit Count Through the Utilization of Hadoop MapReduce in Cloud Computing Environment Sayalee Narkhede Department of Information Technology Maharashtra Institute
Global Soft Solutions JAVA IEEE PROJECT TITLES - 2015
Global Soft Solutions No : 6, III Floor Chitra Complex Chatram Bus Stand Trichy 620 002 www.globalsoftsolutions.in Email : [email protected] Ph : 0431 4544308 / Cell : 94431 22110 JAVA IEEE PROJECT TITLES
Welcome to the first Workshop on Big data Open Source Systems (BOSS)
Welcome to the first Workshop on Big data Open Source Systems (BOSS) September 4th, 2015 Co-located with VLDB 2015 Tilmann Rabl Hands on Big Data 8 parallel tutorials 8 systems Open source Publicly available
Yahoo! Grid Services Where Grid Computing at Yahoo! is Today
Yahoo! Grid Services Where Grid Computing at Yahoo! is Today Marco Nicosia Grid Services Operations [email protected] What is Apache Hadoop? Distributed File System and Map-Reduce programming platform
Hadoop Evolution In Organizations. Mark Vervuurt Cluster Data Science & Analytics
In Organizations Mark Vervuurt Cluster Data Science & Analytics AGENDA 1. Yellow Elephant 2. Data Ingestion & Complex Event Processing 3. SQL on Hadoop 4. NoSQL 5. InMemory 6. Data Science & Machine Learning
Systems Infrastructure for Data Science. Web Science Group Uni Freiburg WS 2012/13
Systems Infrastructure for Data Science Web Science Group Uni Freiburg WS 2012/13 Hadoop Ecosystem Overview of this Lecture Module Background Google MapReduce The Hadoop Ecosystem Core components: Hadoop
INTRODUCING APACHE IGNITE An Apache Incubator Project
WHITE PAPER BY GRIDGAIN SYSTEMS FEBRUARY 2015 INTRODUCING APACHE IGNITE An Apache Incubator Project COPYRIGHT AND TRADEMARK INFORMATION 2015 GridGain Systems. All rights reserved. This document is provided
SAP and Hortonworks Reference Architecture
SAP and Hortonworks Reference Architecture Hortonworks. We Do Hadoop. June Page 1 2014 Hortonworks Inc. 2011 2014. All Rights Reserved A Modern Data Architecture With SAP DATA SYSTEMS APPLICATIO NS Statistical
Log Mining Based on Hadoop s Map and Reduce Technique
Log Mining Based on Hadoop s Map and Reduce Technique ABSTRACT: Anuja Pandit Department of Computer Science, [email protected] Amruta Deshpande Department of Computer Science, [email protected]
Big Data and Analytics: A Conceptual Overview. Mike Park Erik Hoel
Big Data and Analytics: A Conceptual Overview Mike Park Erik Hoel In this technical workshop This presentation is for anyone that uses ArcGIS and is interested in analyzing large amounts of data We will
BIG DATA SOLUTION DATA SHEET
BIG DATA SOLUTION DATA SHEET Highlight. DATA SHEET HGrid247 BIG DATA SOLUTION Exploring your BIG DATA, get some deeper insight. It is possible! Another approach to access your BIG DATA with the latest
Big Data and Industrial Internet
Big Data and Industrial Internet Keijo Heljanko Department of Computer Science and Helsinki Institute for Information Technology HIIT School of Science, Aalto University [email protected] 16.6-2015
A REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM
A REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM Sneha D.Borkar 1, Prof.Chaitali S.Surtakar 2 Student of B.E., Information Technology, J.D.I.E.T, [email protected] Assistant Professor, Information
Ahmed Metwally Google Inc. 1600 Amphitheatre Pkwy Mountain View, CA 94043 (805) 403-9725 [email protected]
Education: Ahmed Metwally Google Inc. 1600 Amphitheatre Pkwy Mountain View, CA 94043 (805) 403-9725 [email protected] 2002-2007: PhD; UC Santa Barbara, Department of Computer Science. Advisors: Prof.
