Big Data Advanced Analytics for Game Monetization. Kimberly Chulis
|
|
- Roland Jacobs
- 8 years ago
- Views:
Transcription
1 Big Data Advanced Analytics for Game Monetization Kimberly Chulis CEO Core Analytics, LLC
2 Core Analytics / Game Loyalty Bay area and Chicago based digital advanced analytics firm Big Data / NoSQL Advanced Analytics Solutions Focuses on optimization and measurement of video, socialandmobilegamesand games, in game advertising and gamification analytics Micro segmentation, dashboard reporting, data integration, predictive and multivariate analytics
3 Describe size of Gaming Industry and Exponential Growth 100 Video Games ($Billions) ($Billions) Computer Games Social Games Source: Colin Sebastian for RW Baird While these numbers indicate that the current largest share of market belongs to the video game industry, an important preferential shift and player demographic change is occurring that is expected to result in a partial decline in popularity of core video games and a rapid decline in the console variety.
4 Describe size of Gaming Industry and Exponential Growth Social games Offered at a fraction of the price through social networks, and are played on various mobile platforms 54% female, Mobile Payments and PayPal for Purchases Across Platforms and Devices Traditional video and MMO games Predominantly male (18 34) Pay cash / credit cards / Solo or within limited interactive environment Mobile games Represent a fundamental change in the gaming landscape Expanding Who, How and Why gamers are playing
5 Describe size of Gaming Industry and Exponential Growth Stark differences emerging in game revenue patterns across devices ios games generating 85% of in game revenues over Android and other platforms Expected decline in console games (related hardware and apparatus sales) and web based games becoming the go to platforms This Trend will be parallel to continued growth in video games (played on computers) and to explosive growth in mobile games Conclusion Big opportunities for Analytics Providers
6 Big Data and Social and Online Gaming
7 NoSQL TECHNOLOGY
8 Technology
9 Technology Database technology shift Shift from relational to NoSQL New solutions introduced to handle data on a very large scale Methods of extending the capacity of legacy systems were introduced Sharding Denormalization Distributed caching
10 Technology Sharding is the practice of data partitioning across diverse servers, which requires knowledge of the server location of data and is limited by the fact that you can't perform joins across shards. You must maintain schemas for each server Denormalization is another method that involves grouping and indexing redundant data and often results in latency and issues with maintaining concurrency in relational database systems Distributed caching which caches recent data in memory, is useful when data is needed. The application (web, game, social network, search engine, andso on) first checks a distributed caching system, such as memcached, for the needed data instead of going back to the relational database
11 Advantage NoSQL to RDMS RDMS Won t scale after a certain point anymore. System Cost Application Response Time Database scales out add more web servers
12 Technology Warehousing Options Commercial NoSQLoptions options that integrate with Hadoop and other open source tools and greatly extend these capabilities with analytics, text mining, in application processing, map reduce functions, and graphing options IBM InfoSpere BigInsights Cloudera (Yearly Support Fee for the Enterprise Edition)
13 NoSQL Software Types Document Document & Key Value Document (JSON) Graph hdtb Database Key value Key value & Hierarchical & Document Key value Multi level
14 NoSQL Software Source: Wikipedia
15 NoSQL Software Source: Wikipedia
16 Export Social Media Gaming Data from MySQL into Hadoop JSON Parses and store results into table MySQL in the Cloud Others like Forums / Blogs, HDFS Sqoop Client
17 Twitter stored in MySQL
18 Facebook stored in MySQL
19 Import Process MySQL Table Metadata Launch Sqoop Client MAP MAP MAP Generated Record Container Class Uses HDFS HDFS HDFS MapReduce Job
20 Migrate from MySQL to Hadoop Using Sqoop to migration fro MySQL to Hadoop Results: Retrieve the Results from Hadoop
21 Hadoop HDFS FORMAT CSV: ID, Search term, User name, Created date,,., Mention, Language
22 Real time Analytics Storm and Hadoop Hadoop run all functions all at once, but high latency Storm run incremental functions all quickly distributed dand fault tolerant l real time computation system Guarantees data will be processed Horizontally scalable Storm Concepts (see also next slide) Tuple: Named list of values Streams: Unbounded sequence of tuples Spouts: Sourceofstreams of (i.e. Twitter) Bolts: Bringing the tuples together (functions, filters, joins, talking to databases) Topology: How is everything linked together (graph of computations)
23 Storm Concepts Stream Tuple Tuple Tuple Spouts Tuple Tuple Tuple (Multiple Streams) Tuple Tuple Tuple Tuple Tuple Tuple Bolt Tuple Tuple Tuple Tuple Tuple Tuple Spout Topology Bolt Bolt Bolt Spout Bolt Bolt
24 Storm and Hadoop Integration Example: very large amount of data that needs to be parsed from different sources at real time. Implement Hadoop Create a Map/Reduce Job, but. Long time to be completed as it takes the slowest Reducer to be completed This means unknown cycle completion times
25 Storm and Hadoop Integration Another complexity could be We have a number of processes updating our feeds, and would like to control which will update the database? We should ask ourselves: is there a system that allows us to deploy the Queue / Worker system without inheriting thecomplexity? Yes it s called Storm
26 Storm Cluster Zookeeper Supervisor Master Node (similar to Hadoop Job Tracker) Nimbus Zookeeper Supervisor Supervisor Run Worker Processes Zookeeper Supervisor Zookeeper Zookeeper is used for Cluster coordination Supervisor
27 Storm and Hadoop Integration Storm allows us to write real time topologies We don t have to worry about Scalability Fail over IPC Real time Analytics!
28 Technology Filtering Hadoop Freely licensed software framework developed by the Apache Software Foundation Scale from a single computer up to thousands computers Hadoop Distributed File System (HDFS) Designed for storing very large files Streaming data access patterns Running on clusters of commodity hardware
29 Technology Filtering Hadoop Source: Apache Hadoop
30 Technology Filtering Hadoop Functional layer Modeling and development Storage and data management Sub project MapReduce, Pig, Mahout HDFS, Hbase, Cassandra Dt Data warehousing, summarization, Hive, Scoop query Data collection, aggregation, analysis Chukwa, Flume Metadata, table and schema management Cluster management,,job scheduling, workflow Data serialization Hcatalog Zookeeper, Oozie, Ambari Avro
31 Technology Filtering Hadoop Vendor Amazon Web Services Datameer EMC Greenplum Hstreaming MapR Pentaho Zettaset Vendor Cloudera Datastax Hortonworks IBM Outerthought Platform Computing
32 Technology Filtering MapReduce MapReduce is a programming framework popularized by Google and used to simplify data processing across massive data sets MapReduce1 Classic Framework MapReduce2 YARN (Yet Another Resource Negotiator) Very clusters in the region of 4000 or higher
33 Technology Filtering MapReduce MapReduce Map 1 Start Map 2 Reduce End Map N
34 Technology Filtering MapReduce1 Source: Hadoop The Definitive Guide
35 Technology Filtering MapReduce2 Source: Apache Hadoop
36 Technology Open Source Analytics There are various open source applications available Mahout R
37 R Open source R has been integrated to run massively parallel statistical processes directly in Hadoop nodes Functionality Used for statistical computing and graphics Linear and nonlinear modeling Classical statistical tests Time series analysis Classification Clustering Well design publication quality plots Runs on Unix and similarplatforms platforms, Windows and MacOS
38 Mahout Open source analytics tool on top of systems, such as Hadoop s MapReduce paradigm Apache Mahout is a machine learning engine that provides classification, clustering, and collaborative filtering
39 Technology Analytics Gap Commercial Analytics Packages like SPSS and SAS Raw data Processed dt data
40 Video and Social Games PRACTICAL EXAMPLES
41 Game Analytics Vendors Kontagent, Flurry, Mixpanel, Totango, Claritics, Google analytics Fewer vendors focusing on computer and MMO games No single Analytics Provider appears to focus on dli delivering i cross game platform ltf analytics lti
42 Game Analytics Metrics of social games Daily active users (DAU) Monthly active users (MAU) DAU / MAY ratio Engagement Measurers time spent playing a game K factor Infection rate of viral game growth as the core and casual player base expands Average revenue per user (ARPU) Lifetime Value (LTF) Capture s a player s value to the game based on in game purchases and other monetization related behaviors, player influence on virality, and net game envangelism
43 Game Monetization
44 Video Game Subscription Imagine a large MMO Video Game World of Warcraft Star Wars the Old Republic
45 Video Game Subscription i Model Pay to play Free to play Freemium Players must pay a monthly subscription fee Usually involves an upfront software cost but no additional payments Allows players to access game content and play for free but offers options to pay for additional content and access
46 Video Game Play to play Game analytics is focused on understanding who the most valuable players areandand how they play Propensity modeling Identify those players withthe the highest propensity to do one of the following Continue a subscription Return to play a game after a subscription i pause Encourage new players to subscribe Become skilled and persuasive guild leaders
47 Video Game Data elements include traditional game time dashboard key performance indicators (KPIs KPI Time to complete levels Avatar selection Gender of avatar Game related tweet Language KPI Solo vs interactive behaviors Interaction style indicators Game strategy behavior variables Socialnet network activityit
48 Video Game Micro segmentation Involves segmenting a player base to understand distinct segment preferences and behaviors to guide targeted game design, localization that reflects preferences of regional segments, and appealing targeted extension packages and additional content design
49 Social Game Ad and Virtual Good Early adaptors of Monetization Big Data Technology Cloud computing solutions Data mining applications Player analytics Allows social game studios to understand in realtime why users are abandoning a game and identify other players at risk of leaving the game so they can develop player retention strategies before those players quit.
50 Social Game Ad and Virtual Good Monetization
51 Where the Game Industry is Going
52 BrandMeter & Gaming Data PRACTICAL IMPLEMENTATION
53 Process flow Raw Social Media Comment Files, Web log data, External Files API and Data Integration Processes BrandMeter Data Warehouse BrandMeter Segmentation, Predictive Modeling Algorithms Analytic Data Mart Text Mining and Derived Variable, Data Cleansing and Manipulation BrandMeter Processes BrandMeter Social Media Data Mart BrandMeter Dashboard Reporting
54 Cloud Architecture Dashboard Reporting Analytics Segmentation Datamart BrandMeter Demographics Personality Mood Loyalty Database Datamart MySQL Geographic Other NoSQL Social Media Web Mobile
55 Social Media Data source: Facebook/Twitter 1. Search request to Facebook and Twitter p / g p 2. The app receive the results in a JSON format
56 Social Media Data source: Facebook/Twitter 3. The app calls a JSON library that parses the data 4. For each JSON record the data will be split up in several field like (Twitter) From_User Created_At Mention (actually message content) 5. Stores the record into MySQL DB
57 Social Media Data Source: Social Media BrandMeter Datamart JSON Parses and store results into table NoSQL MySQL Integration
58 Screen shots of the Dashboard / NoSQL / MySQL Data / Analytics Jact Media LLC.
59 Gaming data provided by Jact Media LLC LIVE DEMO BRANDMETER DASHBOARD
#TalendSandbox for Big Data
Evalua&on von Apache Hadoop mit der #TalendSandbox for Big Data Julien Clarysse @whatdoesdatado @talend 2015 Talend Inc. 1 Connecting the Data-Driven Enterprise 2 Talend Overview Founded in 2006 BRAND
More informationInfomatics. Big-Data and Hadoop Developer Training with Oracle WDP
Big-Data and Hadoop Developer Training with Oracle WDP What is this course about? Big Data is a collection of large and complex data sets that cannot be processed using regular database management tools
More informationA Tour of the Zoo the Hadoop Ecosystem Prafulla Wani
A Tour of the Zoo the Hadoop Ecosystem Prafulla Wani Technical Architect - Big Data Syntel Agenda Welcome to the Zoo! Evolution Timeline Traditional BI/DW Architecture Where Hadoop Fits In 2 Welcome to
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 informationIntroduction to Hadoop HDFS and Ecosystems. Slides credits: Cloudera Academic Partners Program & Prof. De Liu, MSBA 6330 Harvesting Big Data
Introduction to Hadoop HDFS and Ecosystems ANSHUL MITTAL Slides credits: Cloudera Academic Partners Program & Prof. De Liu, MSBA 6330 Harvesting Big Data Topics The goal of this presentation is to give
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 informationBig 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
More informationHadoop Ecosystem Overview. CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook
Hadoop Ecosystem Overview CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook Agenda Introduce Hadoop projects to prepare you for your group work Intimate detail will be provided in future
More informationBITKOM& NIK - Big Data Wo liegen die Chancen für den Mittelstand?
BITKOM& NIK - Big Data Wo liegen die Chancen für den Mittelstand? The Big Data Buzz big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database
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 informationComprehensive Analytics on the Hortonworks Data Platform
Comprehensive Analytics on the Hortonworks Data Platform We do Hadoop. Page 1 Page 2 Back to 2005 Page 3 Vertical Scaling Page 4 Vertical Scaling Page 5 Vertical Scaling Page 6 Horizontal Scaling Page
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 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 informationWorkshop 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
More informationHadoop 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
More informationReal-time Big Data Analytics with Storm
Ron Bodkin Founder & CEO, Think Big June 2013 Real-time Big Data Analytics with Storm Leading Provider of Data Science and Engineering Services Accelerating Your Time to Value IMAGINE Strategy and Roadmap
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 informationHadoop 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
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 informationBig 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 keijo.heljanko@aalto.fi 16.6-2015
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 informationGAIN BETTER INSIGHT FROM BIG DATA USING JBOSS DATA VIRTUALIZATION
GAIN BETTER INSIGHT FROM BIG DATA USING JBOSS DATA VIRTUALIZATION Syed Rasheed Solution Manager Red Hat Corp. Kenny Peeples Technical Manager Red Hat Corp. Kimberly Palko Product Manager Red Hat Corp.
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 informationHadoop. http://hadoop.apache.org/ Sunday, November 25, 12
Hadoop http://hadoop.apache.org/ What Is Apache Hadoop? The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using
More informationConstructing a Data Lake: Hadoop and Oracle Database United!
Constructing a Data Lake: Hadoop and Oracle Database United! Sharon Sophia Stephen Big Data PreSales Consultant February 21, 2015 Safe Harbor The following is intended to outline our general product direction.
More informationDelivering Intelligence to Publishers Through Big Data
Delivering Intelligence to Publishers Through Big Data 2015-05- 21 Jonathan Sharley Team Lead, Data Operations www.sovrn.com Who is Sovrn? Ø An advertising network with direct relationships to 20,000+
More informationOverview. Big Data in Apache Hadoop. - HDFS - MapReduce in Hadoop - YARN. https://hadoop.apache.org. Big Data Management and Analytics
Overview Big Data in Apache Hadoop - HDFS - MapReduce in Hadoop - YARN https://hadoop.apache.org 138 Apache Hadoop - Historical Background - 2003: Google publishes its cluster architecture & DFS (GFS)
More informationHadoop. 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
More informationPlay with Big Data on the Shoulders of Open Source
OW2 Open Source Corporate Network Meeting Play with Big Data on the Shoulders of Open Source Liu Jie Technology Center of Software Engineering Institute of Software, Chinese Academy of Sciences 2012-10-19
More informationHADOOP. Revised 10/19/2015
HADOOP Revised 10/19/2015 This Page Intentionally Left Blank Table of Contents Hortonworks HDP Developer: Java... 1 Hortonworks HDP Developer: Apache Pig and Hive... 2 Hortonworks HDP Developer: Windows...
More informationManaging Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database
Managing Big Data with Hadoop & Vertica A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Copyright Vertica Systems, Inc. October 2009 Cloudera and Vertica
More informationWhite Paper: Hadoop for Intelligence Analysis
CTOlabs.com White Paper: Hadoop for Intelligence Analysis July 2011 A White Paper providing context, tips and use cases on the topic of analysis over large quantities of data. Inside: Apache Hadoop and
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 informationBuilding Scalable Big Data Infrastructure Using Open Source Software. Sam William sampd@stumbleupon.
Building Scalable Big Data Infrastructure Using Open Source Software Sam William sampd@stumbleupon. What is StumbleUpon? Help users find content they did not expect to find The best way to discover new
More informationANALYTICS CENTER LEARNING PROGRAM
Overview of Curriculum ANALYTICS CENTER LEARNING PROGRAM The following courses are offered by Analytics Center as part of its learning program: Course Duration Prerequisites 1- Math and Theory 101 - Fundamentals
More informationHDP Hadoop From concept to deployment.
HDP Hadoop From concept to deployment. Ankur Gupta Senior Solutions Engineer Rackspace: Page 41 27 th Jan 2015 Where are you in your Hadoop Journey? A. Researching our options B. Currently evaluating some
More informationHADOOP ADMINISTATION AND DEVELOPMENT TRAINING CURRICULUM
HADOOP ADMINISTATION AND DEVELOPMENT TRAINING CURRICULUM 1. Introduction 1.1 Big Data Introduction What is Big Data Data Analytics Bigdata Challenges Technologies supported by big data 1.2 Hadoop Introduction
More informationChase Wu New Jersey Ins0tute of Technology
CS 698: Special Topics in Big Data Chapter 4. Big Data Analytics Platforms Chase Wu New Jersey Ins0tute of Technology Some of the slides have been provided through the courtesy of Dr. Ching-Yung Lin at
More informationGetting Started with Hadoop. Raanan Dagan Paul Tibaldi
Getting Started with Hadoop Raanan Dagan Paul Tibaldi What is Apache Hadoop? Hadoop is a platform for data storage and processing that is Scalable Fault tolerant Open source CORE HADOOP COMPONENTS Hadoop
More informationBIG DATA What it is and how to use?
BIG DATA What it is and how to use? Lauri Ilison, PhD Data Scientist 21.11.2014 Big Data definition? There is no clear definition for BIG DATA BIG DATA is more of a concept than precise term 1 21.11.14
More informationArchitectures for massive data management
Architectures for massive data management Apache Kafka, Samza, Storm Albert Bifet albert.bifet@telecom-paristech.fr October 20, 2015 Stream Engine Motivation Digital Universe EMC Digital Universe with
More informationDominik Wagenknecht Accenture
Dominik Wagenknecht Accenture Improving Mainframe Performance with Hadoop October 17, 2014 Organizers General Partner Top Media Partner Media Partner Supporters About me Dominik Wagenknecht Accenture Vienna
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 informationApplication and practice of parallel cloud computing in ISP. Guangzhou Institute of China Telecom Zhilan Huang 2011-10
Application and practice of parallel cloud computing in ISP Guangzhou Institute of China Telecom Zhilan Huang 2011-10 Outline Mass data management problem Applications of parallel cloud computing in ISPs
More informationKeywords: Big Data, Hadoop, cluster, heterogeneous, HDFS, MapReduce
Volume 5, Issue 9, September 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com A Study of
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 informationHadoop implementation of MapReduce computational model. Ján Vaňo
Hadoop implementation of MapReduce computational model Ján Vaňo What is MapReduce? A computational model published in a paper by Google in 2004 Based on distributed computation Complements Google s distributed
More informationData Lake In Action: Real-time, Closed Looped Analytics On Hadoop
1 Data Lake In Action: Real-time, Closed Looped Analytics On Hadoop 2 Pivotal s Full Approach It s More Than Just Hadoop Pivotal Data Labs 3 Why Pivotal Exists First Movers Solve the Big Data Utility Gap
More informationExtending the Enterprise Data Warehouse with Hadoop Robert Lancaster. Nov 7, 2012
Extending the Enterprise Data Warehouse with Hadoop Robert Lancaster Nov 7, 2012 Who I Am Robert Lancaster Solutions Architect, Hotel Supply Team rlancaster@orbitz.com @rob1lancaster Organizer of Chicago
More informationDeveloping Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control
Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control EP/K006487/1 UK PI: Prof Gareth Taylor (BU) China PI: Prof Yong-Hua Song (THU) Consortium UK Members: Brunel University
More informationHow to Hadoop Without the Worry: Protecting Big Data at Scale
How to Hadoop Without the Worry: Protecting Big Data at Scale SESSION ID: CDS-W06 Davi Ottenheimer Senior Director of Trust EMC Corporation @daviottenheimer Big Data Trust. Redefined Transparency Relevance
More informationWHITE PAPER. Four Key Pillars To A Big Data Management Solution
WHITE PAPER Four Key Pillars To A Big Data Management Solution EXECUTIVE SUMMARY... 4 1. Big Data: a Big Term... 4 EVOLVING BIG DATA USE CASES... 7 Recommendation Engines... 7 Marketing Campaign Analysis...
More informationApache Hadoop: The Big Data Refinery
Architecting the Future of Big Data Whitepaper Apache Hadoop: The Big Data Refinery Introduction Big data has become an extremely popular term, due to the well-documented explosion in the amount of data
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 informationLuncheon Webinar Series May 13, 2013
Luncheon Webinar Series May 13, 2013 InfoSphere DataStage is Big Data Integration Sponsored By: Presented by : Tony Curcio, InfoSphere Product Management 0 InfoSphere DataStage is Big Data Integration
More informationHadoop & Spark Using Amazon EMR
Hadoop & Spark Using Amazon EMR Michael Hanisch, AWS Solutions Architecture 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Agenda Why did we build Amazon EMR? What is Amazon EMR?
More informationBig Data Management and Security
Big Data Management and Security Audit Concerns and Business Risks Tami Frankenfield Sr. Director, Analytics and Enterprise Data Mercury Insurance What is Big Data? Velocity + Volume + Variety = Value
More informationBig data for the Masses The Unique Challenge of Big Data Integration
Big data for the Masses The Unique Challenge of Big Data Integration White Paper Table of contents Executive Summary... 4 1. Big Data: a Big Term... 4 1.1. The Big Data... 4 1.2. The Big Technology...
More informationHDP Enabling the Modern Data Architecture
HDP Enabling the Modern Data Architecture Herb Cunitz President, Hortonworks Page 1 Hortonworks enables adoption of Apache Hadoop through HDP (Hortonworks Data Platform) Founded in 2011 Original 24 architects,
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 informationApplication Development. A Paradigm Shift
Application Development for the Cloud: A Paradigm Shift Ramesh Rangachar Intelsat t 2012 by Intelsat. t Published by The Aerospace Corporation with permission. New 2007 Template - 1 Motivation for the
More informationUnderstanding How Sensage Compares/Contrasts with Hadoop
Frequently Asked Questions Understanding How Sensage Compares/Contrasts with Hadoop 1. How does Sensage s approach to managing large, distributed data systems compare/contrast with Hadoop in terms of storage,
More informationSQL Server 2012 PDW. Ryan Simpson Technical Solution Professional PDW Microsoft. Microsoft SQL Server 2012 Parallel Data Warehouse
SQL Server 2012 PDW Ryan Simpson Technical Solution Professional PDW Microsoft Microsoft SQL Server 2012 Parallel Data Warehouse Massively Parallel Processing Platform Delivers Big Data HDFS Delivers Scale
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 informationReal Time Fraud Detection With Sequence Mining on Big Data Platform. Pranab Ghosh Big Data Consultant IEEE CNSV meeting, May 6 2014 Santa Clara, CA
Real Time Fraud Detection With Sequence Mining on Big Data Platform Pranab Ghosh Big Data Consultant IEEE CNSV meeting, May 6 2014 Santa Clara, CA Open Source Big Data Eco System Query (NOSQL) : Cassandra,
More informationCloud 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
More informationDeploying Hadoop with Manager
Deploying Hadoop with Manager SUSE Big Data Made Easier Peter Linnell / Sales Engineer plinnell@suse.com Alejandro Bonilla / Sales Engineer abonilla@suse.com 2 Hadoop Core Components 3 Typical Hadoop Distribution
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 informationBigData. An Overview of Several Approaches. David Mera 16/12/2013. Masaryk University Brno, Czech Republic
BigData An Overview of Several Approaches David Mera Masaryk University Brno, Czech Republic 16/12/2013 Table of Contents 1 Introduction 2 Terminology 3 Approaches focused on batch data processing MapReduce-Hadoop
More informationLambda Architecture. Near Real-Time Big Data Analytics Using Hadoop. January 2015. Email: bdg@qburst.com Website: www.qburst.com
Lambda Architecture Near Real-Time Big Data Analytics Using Hadoop January 2015 Contents Overview... 3 Lambda Architecture: A Quick Introduction... 4 Batch Layer... 4 Serving Layer... 4 Speed Layer...
More informationMonitis Project Proposals for AUA. September 2014, Yerevan, Armenia
Monitis Project Proposals for AUA September 2014, Yerevan, Armenia Distributed Log Collecting and Analysing Platform Project Specifications Category: Big Data and NoSQL Software Requirements: Apache Hadoop
More informationQsoft Inc www.qsoft-inc.com
Big Data & Hadoop Qsoft Inc www.qsoft-inc.com Course Topics 1 2 3 4 5 6 Week 1: Introduction to Big Data, Hadoop Architecture and HDFS Week 2: Setting up Hadoop Cluster Week 3: MapReduce Part 1 Week 4:
More informationThe Future of Data Management with Hadoop and the Enterprise Data Hub
The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah Cofounder & CTO, Cloudera, Inc. Twitter: @awadallah 1 2 Cloudera Snapshot Founded 2008, by former employees of Employees
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 informationHadoop and Map-Reduce. Swati Gore
Hadoop and Map-Reduce Swati Gore Contents Why Hadoop? Hadoop Overview Hadoop Architecture Working Description Fault Tolerance Limitations Why Map-Reduce not MPI Distributed sort Why Hadoop? Existing Data
More informationModernizing Your Data Warehouse for Hadoop
Modernizing Your Data Warehouse for Hadoop Big data. Small data. All data. Audie Wright, DW & Big Data Specialist Audie.Wright@Microsoft.com O 425-538-0044, C 303-324-2860 Unlock Insights on Any Data Taking
More informationThe Inside Scoop on Hadoop
The Inside Scoop on Hadoop Orion Gebremedhin National Solutions Director BI & Big Data, Neudesic LLC. VTSP Microsoft Corp. Orion.Gebremedhin@Neudesic.COM B-orgebr@Microsoft.com @OrionGM The Inside Scoop
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 and Data Warehouse Friends, Enemies or Profiteers? What about Real Time?
Hadoop and Data Warehouse Friends, Enemies or Profiteers? What about Real Time? Kai Wähner kwaehner@tibco.com @KaiWaehner www.kai-waehner.de Disclaimer! These opinions are my own and do not necessarily
More informationBig 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
More informationApache Hadoop: Past, Present, and Future
The 4 th China Cloud Computing Conference May 25 th, 2012. Apache Hadoop: Past, Present, and Future Dr. Amr Awadallah Founder, Chief Technical Officer aaa@cloudera.com, twitter: @awadallah Hadoop Past
More informationDepartment of Computer Science University of Cyprus EPL646 Advanced Topics in Databases. Lecture 14
Department of Computer Science University of Cyprus EPL646 Advanced Topics in Databases Lecture 14 Big Data Management IV: Big-data Infrastructures (Background, IO, From NFS to HFDS) Chapter 14-15: Abideboul
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 informationPerformance and Scalability Overview
Performance and Scalability Overview This guide provides an overview of some of the performance and scalability capabilities of the Pentaho Business Analytics Platform. Contents Pentaho Scalability and
More informationWROX Certified Big Data Analyst Program by AnalytixLabs and Wiley
WROX Certified Big Data Analyst Program by AnalytixLabs and Wiley Disclaimer: This material is protected under copyright act AnalytixLabs, 2011. Unauthorized use and/ or duplication of this material or
More informationSQL VS. NO-SQL. Adapted Slides from Dr. Jennifer Widom from Stanford
SQL VS. NO-SQL Adapted Slides from Dr. Jennifer Widom from Stanford 55 Traditional Databases SQL = Traditional relational DBMS Hugely popular among data analysts Widely adopted for transaction systems
More informationHadoop IST 734 SS CHUNG
Hadoop IST 734 SS CHUNG Introduction What is Big Data?? Bulk Amount Unstructured Lots of Applications which need to handle huge amount of data (in terms of 500+ TB per day) If a regular machine need to
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 informationProgramming Hadoop 5-day, instructor-led BD-106. MapReduce Overview. Hadoop Overview
Programming Hadoop 5-day, instructor-led BD-106 MapReduce Overview The Client Server Processing Pattern Distributed Computing Challenges MapReduce Defined Google's MapReduce The Map Phase of MapReduce
More informationArchitectural patterns for building real time applications with Apache HBase. Andrew Purtell Committer and PMC, Apache HBase
Architectural patterns for building real time applications with Apache HBase Andrew Purtell Committer and PMC, Apache HBase Who am I? Distributed systems engineer Principal Architect in the Big Data Platform
More informationBig Data JAMES WARREN. Principles and best practices of NATHAN MARZ MANNING. scalable real-time data systems. Shelter Island
Big Data Principles and best practices of scalable real-time data systems NATHAN MARZ JAMES WARREN II MANNING Shelter Island contents preface xiii acknowledgments xv about this book xviii ~1 Anew paradigm
More informationAn 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
More informationCSE-E5430 Scalable Cloud Computing Lecture 2
CSE-E5430 Scalable Cloud Computing Lecture 2 Keijo Heljanko Department of Computer Science School of Science Aalto University keijo.heljanko@aalto.fi 14.9-2015 1/36 Google MapReduce A scalable batch processing
More informationMapReduce with Apache Hadoop Analysing Big Data
MapReduce with Apache Hadoop Analysing Big Data April 2010 Gavin Heavyside gavin.heavyside@journeydynamics.com About Journey Dynamics Founded in 2006 to develop software technology to address the issues
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 informationWhy NoSQL? Your database options in the new non- relational world. 2015 IBM Cloudant 1
Why NoSQL? Your database options in the new non- relational world 2015 IBM Cloudant 1 Table of Contents New types of apps are generating new types of data... 3 A brief history on NoSQL... 3 NoSQL s roots
More informationIntroduction to Big Data! with Apache Spark" UC#BERKELEY#
Introduction to Big Data! with Apache Spark" UC#BERKELEY# So What is Data Science?" Doing Data Science" Data Preparation" Roles" This Lecture" What is Data Science?" Data Science aims to derive knowledge!
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 informationBIRT in the World of Big Data
BIRT in the World of Big Data David Rosenbacher VP Sales Engineering Actuate Corporation 2013 Actuate Customer Days Today s Agenda and Goals Introduction to Big Data Compare with Regular Data Common Approaches
More informationTalend Big Data. Delivering instant value from all your data. Talend 2014 1
Talend Big Data Delivering instant value from all your data Talend 2014 1 I may say that this is the greatest factor: the way in which the expedition is equipped. Roald Amundsen race to the south pole,
More information