Real-Time Analytics on Large Datasets: Predictive Models for Online Targeted Advertising

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Real-Time Analytics on Large Datasets: Predictive Models for Online Targeted Advertising"

Transcription

1 Real-Time Analytics on Large Datasets: Predictive Models for Online Targeted Advertising Open Data Partners and AdReady April

2 Executive Summary AdReady is working to develop and deploy sophisticated statistical models for large-scale targeted advertising. The system robustly and optimally arbitrates between thousands of advertisements in the time that it takes to load a webpage. There were several criteria considered when selecting the statistical tool to be used to develop models and score events in production: Performance. Thousand of events are scored per second. Scoring must be fast and scalable. Events must be scored and processed in tens of milliseconds. Every missed bid represents lost revenue. Portability. Models are self-describing and encapsulated and because of this, models can be moved easily from development to production environments and can also be ported easily between different systems and applications. Open Source. Open source software is particularly well suited to big data applications and cloud-based deployments since the software can be installed as required without worrying about licensing costs. With open source software, AdReady was able to keep its costs down and still scale out as required out. Having the source code available allows AdReady to insert custom code when required, rather than outside of a workflow, where any extra steps may require precious milliseconds. AdReady selected the open source Augustus system both to build the statistical models they required and also to deploy the models they built into their ad delivery system. Models are being deployed in Amazon s elastic infrastructure and models are moved between the statistical modeling environment and the production environment using Predictive Model Markup Language (PMML), the most widely deployed standard for describing statistical and data mining models. 2

3 Online Target Advertising AdReady is creating a fast, robust, and scalable ad-bidding system that allows custom campaigns to bid for web-page advertising space. The system uses sophisticated predictive models to identify bids that have high probability of winning, at a good price, on sessions likely to lead to conversion. AdReady s deployment environment was based on the following principles: Quickly deploy models. Models are built in a statistical modeling environment and exported as PMML. PMML (the Predictive Model Markup Language) is an XML-based standard for statistical modeling that can be visually inspected, tested in different scoring engines, internally validated with embedded test-data, and manipulated with simple scripts. PMML models are then imported into what is called a scoring engine that is integrated in the operational environment. Updating a model is as simple as reading a PMML file. No coding is required. Scale using Amazon s elastic infrastructure. With Amazon s elastic infrastructure, all that is required to scale is to add additional EC2 instances with embedded scoring engines. With this approach, AdReady will be able to scale to 11,000 events per second. Don t touch disk. By linking Apache web servers and Augustus scoring engines using Amazon s distributed environments, scoring events using PMML statistical models could be done in tens of milliseconds. Leverage open source software whenever possible. By using open source software, AdReady is integrating statistical modeling into a a large-scale ad delivery system without incurring licensing fees. In addition to Augustus, AdReady also uses Apache and Django, a Python MVC web framework which can be tightly integrated with Augustus. Ad-bidding systems combine three extremes of statistical processing: large, fine-grained models, robust, high-volume throughput, and heterogeneous data. To solve all three problems, AdReady incorporated the Augustus statistical toolkit into their model-production and scoring workflows using Amazon s Web Services. 3

4 Predictive Models AdReady is employing segmented models in order to obtain more accuracy over highly heterogeneous data. A segmented model is a collection of complete models, one or more of which are selected based upon the input event. The entire collection of segmented models can be encapsulated as a single PMML file and uploaded into each elastic scoring instance. The model file runs in-memory, guaranteeing that 1) new instances always have the latest model and 2) models can be updated independently of machine images. Throughput To deploy the model, Augustus was integrated into the online system by invoking it as a Python library from the Django framework. This allows AdReady to bypass the normal data pipeline and connect the scoring engine directly into their web framework. Augustus is written in Python and NumPy to combine a Python-based coding environment with highly scalable numeric processing. Since the data are processed without reading or writing to disks, the whole system will be able to respond to web requests within 100 ms. If more capacity is required, copies of the entire stack can be launched as virtual machine (scale out instead of scale up). Data The production system must be robust against missing or corrupt data. Data comes from cookies and session metadata, and is enriched from backend content sources. PMML provides a framework for making decisions about invalid data at runtime, and the Python interface simplifies the handling of invalid data by passing values with inhomogeneous types. Unexpected input results in fallback procedures, rather than uncaught exceptions. Development Cycle The entire system is being developed on a tight schedule of four months from start to finish. This pace is possible because of transparency at all levels: PMML models are human-readable text files, Augustus is open-source, and the Python interface has a rapid development cycle. These conveniences for the programmers does not limit scalability because all large-scale numeric 4

5 calculations are performed in NumPy, which is based on compiled C and Fortran libraries. Model consistency is assisted by the internal validation features of PMML: sample data and expected results are embedded in each model file and can be tested automatically. This allows for Open Data and AdReady to pass working examples or test cases in need of attention or analysis back and forth within the models. This project is a collaboration between AdReady and Open Data Group. 5

6 About Open Data Open Data Group specializes in building predictive models over big data and is one of the pioneers using technologies such as Hadoop, NoSQL databases, and elastic Infrastructure as a Service so that companies can build predictive models efficiently over all of their data. Open Data Group provides outsourced analytical services, management consulting services, analytic staffing, and expert witnesses broadly related to data and analytics. It has been building predictive models over big data for over ten years and has introduced a variety of innovative technology related to predictive modeling and analytic architectures. AdReady AdReady delivers the power and sophistication of multiple best-in-class enterprise software solutions for digital display advertising in an elegant, costeffective, yet highly powerful next-generation platform. The AdReady technology platform provides: Highly scalable campaign creation, testing and iteration Creative production, iteration and testing automation Integrated access to micro-targeted audiences through publishers, exchanges, networks and data providers Geo, Demo, Behavioral and Re-Targeting capabilities Proven optimization algorithms Augustus Augustus is an Apache 2.0-licensed open source system for building and scoring statistical models designed to work with data sets that are too large to fit into memory. More information is available at PMML Predictive Model Markup Language (PMML) is the leading standard for statistical and data mining models and supported by over 20 vendors and organizations. PMML is an XML mark up language to describe statistical and data mining models. More information is available at 6

BIG DATA ANALYTICS For REAL TIME SYSTEM

BIG DATA ANALYTICS For REAL TIME SYSTEM BIG DATA ANALYTICS For REAL TIME SYSTEM Where does big data come from? Big Data is often boiled down to three main varieties: Transactional data these include data from invoices, payment orders, storage

More information

Cloud Utilization for Online Price Intelligence

Cloud Utilization for Online Price Intelligence Lohnt sich Cloud Computing? Anwendungsbeispiele aus der Praxis Cloud Utilization for Online Price Intelligence 22.6.2010 OCG Competence Circle About Lixto Lixto extracts specific and precise data from

More information

Building a Scalable Big Data Infrastructure for Dynamic Workflows

Building a Scalable Big Data Infrastructure for Dynamic Workflows Building a Scalable Big Data Infrastructure for Dynamic Workflows INTRODUCTION Organizations of all types and sizes are looking to big data to help them make faster, more intelligent decisions. Many efforts

More information

Three steps to put Predictive Analytics to Work

Three steps to put Predictive Analytics to Work Three steps to put Predictive Analytics to Work The most powerful examples of analytic success use Decision Management to deploy analytic insight in day to day operations helping organizations make more

More information

Pentaho High-Performance Big Data Reference Configurations using Cisco Unified Computing System

Pentaho High-Performance Big Data Reference Configurations using Cisco Unified Computing System Pentaho High-Performance Big Data Reference Configurations using Cisco Unified Computing System By Jake Cornelius Senior Vice President of Products Pentaho June 1, 2012 Pentaho Delivers High-Performance

More information

Harnessing the power of advanced analytics with IBM Netezza

Harnessing the power of advanced analytics with IBM Netezza IBM Software Information Management White Paper Harnessing the power of advanced analytics with IBM Netezza How an appliance approach simplifies the use of advanced analytics Harnessing the power of advanced

More information

BUILDING A SCALABLE BIG DATA INFRASTRUCTURE FOR DYNAMIC WORKFLOWS

BUILDING A SCALABLE BIG DATA INFRASTRUCTURE FOR DYNAMIC WORKFLOWS BUILDING A SCALABLE BIG DATA INFRASTRUCTURE FOR DYNAMIC WORKFLOWS ESSENTIALS Executive Summary Big Data is placing new demands on IT infrastructures. The challenge is how to meet growing performance demands

More information

A Monitored Student Testing Application Using Cloud Computing

A Monitored Student Testing Application Using Cloud Computing A Monitored Student Testing Application Using Cloud Computing R. Mullapudi and G. Hsieh Department of Computer Science, Norfolk State University, Norfolk, Virginia, USA r.mullapudi@spartans.nsu.edu, ghsieh@nsu.edu

More information

Data processing goes big

Data 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 information

Hadoop in the Hybrid Cloud

Hadoop in the Hybrid Cloud Presented by Hortonworks and Microsoft Introduction An increasing number of enterprises are either currently using or are planning to use cloud deployment models to expand their IT infrastructure. Big

More information

Lambda Architecture for Batch and Real- Time Processing on AWS with Spark Streaming and Spark SQL. May 2015

Lambda Architecture for Batch and Real- Time Processing on AWS with Spark Streaming and Spark SQL. May 2015 Lambda Architecture for Batch and Real- Time Processing on AWS with Spark Streaming and Spark SQL May 2015 2015, Amazon Web Services, Inc. or its affiliates. All rights reserved. Notices This document

More information

In-Database Analytics

In-Database Analytics Embedding Analytics in Decision Management Systems In-database analytics offer a powerful tool for embedding advanced analytics in a critical component of IT infrastructure. James Taylor CEO CONTENTS Introducing

More information

Scalable Architecture on Amazon AWS Cloud

Scalable Architecture on Amazon AWS Cloud Scalable Architecture on Amazon AWS Cloud Kalpak Shah Founder & CEO, Clogeny Technologies kalpak@clogeny.com 1 * http://www.rightscale.com/products/cloud-computing-uses/scalable-website.php 2 Architect

More information

Big Data and Healthcare Payers WHITE PAPER

Big Data and Healthcare Payers WHITE PAPER Knowledgent White Paper Series Big Data and Healthcare Payers WHITE PAPER Summary With the implementation of the Affordable Care Act, the transition to a more member-centric relationship model, and other

More information

KnowledgeSTUDIO HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES

KnowledgeSTUDIO HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES Translating data into business value requires the right data mining and modeling techniques which uncover important patterns within

More information

MATLAB in Business Critical Applications Arvind Hosagrahara Principal Technical Consultant Arvind.Hosagrahara@mathworks.

MATLAB in Business Critical Applications Arvind Hosagrahara Principal Technical Consultant Arvind.Hosagrahara@mathworks. MATLAB in Business Critical Applications Arvind Hosagrahara Principal Technical Consultant Arvind.Hosagrahara@mathworks.com 310-819-3970 2014 The MathWorks, Inc. 1 Outline Problem Statement The Big Picture

More information

Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control

Developing 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 information

WHITE PAPER. Harnessing the Power of Advanced Analytics How an appliance approach simplifies the use of advanced analytics

WHITE PAPER. Harnessing the Power of Advanced Analytics How an appliance approach simplifies the use of advanced analytics WHITE PAPER Harnessing the Power of Advanced How an appliance approach simplifies the use of advanced analytics Introduction The Netezza TwinFin i-class advanced analytics appliance pushes the limits of

More information

GigaSpaces Real-Time Analytics for Big Data

GigaSpaces Real-Time Analytics for Big Data GigaSpaces Real-Time Analytics for Big Data GigaSpaces makes it easy to build and deploy large-scale real-time analytics systems Rapidly increasing use of large-scale and location-aware social media and

More information

A Sumo Logic White Paper. Harnessing Continuous Intelligence to Enable the Modern DevOps Team

A Sumo Logic White Paper. Harnessing Continuous Intelligence to Enable the Modern DevOps Team A Sumo Logic White Paper Harnessing Continuous Intelligence to Enable the Modern DevOps Team As organizations embrace the DevOps approach to application development they face new challenges that can t

More information

Collaborative Big Data Analytics. Copyright 2012 EMC Corporation. All rights reserved.

Collaborative Big Data Analytics. Copyright 2012 EMC Corporation. All rights reserved. Collaborative Big Data Analytics 1 Big Data Is Less About Size, And More About Freedom TechCrunch!!!!!!!!! Total data: bigger than big data 451 Group Findings: Big Data Is More Extreme Than Volume Gartner!!!!!!!!!!!!!!!

More information

Oracle Big Data SQL Technical Update

Oracle 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 information

Comprehensive Analytics on the Hortonworks Data Platform

Comprehensive 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 information

High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances

High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances Highlights IBM Netezza and SAS together provide appliances and analytic software solutions that help organizations improve

More information

A Next-Generation Analytics Ecosystem for Big Data. Colin White, BI Research September 2012 Sponsored by ParAccel

A Next-Generation Analytics Ecosystem for Big Data. Colin White, BI Research September 2012 Sponsored by ParAccel A Next-Generation Analytics Ecosystem for Big Data Colin White, BI Research September 2012 Sponsored by ParAccel BIG DATA IS BIG NEWS The value of big data lies in the business analytics that can be generated

More information

Oracle Real Time Decisions

Oracle Real Time Decisions A Product Review James Taylor CEO CONTENTS Introducing Decision Management Systems Oracle Real Time Decisions Product Architecture Key Features Availability Conclusion Oracle Real Time Decisions (RTD)

More information

Introduction to Arvados. A Curoverse White Paper

Introduction to Arvados. A Curoverse White Paper Introduction to Arvados A Curoverse White Paper Contents Arvados in a Nutshell... 4 Why Teams Choose Arvados... 4 The Technical Architecture... 6 System Capabilities... 7 Commitment to Open Source... 12

More information

A REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM

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, sborkar95@gmail.com Assistant Professor, Information

More information

SIMPLE MACHINE HEURISTIC INTELLIGENT AGENT FRAMEWORK

SIMPLE MACHINE HEURISTIC INTELLIGENT AGENT FRAMEWORK SIMPLE MACHINE HEURISTIC INTELLIGENT AGENT FRAMEWORK Simple Machine Heuristic (SMH) Intelligent Agent (IA) Framework Tuesday, November 20, 2011 Randall Mora, David Harris, Wyn Hack Avum, Inc. Outline Solution

More information

SAP Predictive Analytics: An Overview and Roadmap. Charles Gadalla, SAP @cgadalla SESSION CODE: 603

SAP Predictive Analytics: An Overview and Roadmap. Charles Gadalla, SAP @cgadalla SESSION CODE: 603 SAP Predictive Analytics: An Overview and Roadmap Charles Gadalla, SAP @cgadalla SESSION CODE: 603 Advanced Analytics SAP Vision Embed Smart Agile Analytics into Decision Processes to Deliver Business

More information

In-Memory Analytics for Big Data

In-Memory Analytics for Big Data In-Memory Analytics for Big Data Game-changing technology for faster, better insights WHITE PAPER SAS White Paper Table of Contents Introduction: A New Breed of Analytics... 1 SAS In-Memory Overview...

More information

Big Data Are You Ready? Jorge Plascencia Solution Architect Manager

Big Data Are You Ready? Jorge Plascencia Solution Architect Manager Big Data Are You Ready? Jorge Plascencia Solution Architect Manager Big Data: The Datafication Of Everything Thoughts Devices Processes Thoughts Things Processes Run the Business Organize data to do something

More information

Information Quality in the Cloud, What IT Managers Need to Know

Information Quality in the Cloud, What IT Managers Need to Know Information Quality in the Cloud, What IT Managers Need to Know BIOGRAPHY Robert Grossman Founder and Managing Partner Open Data Group Robert Grossman is the Managing Partner of Open Data Group, which

More information

BEST WEB PROGRAMMING LANGUAGES TO LEARN ON YOUR OWN TIME

BEST WEB PROGRAMMING LANGUAGES TO LEARN ON YOUR OWN TIME BEST WEB PROGRAMMING LANGUAGES TO LEARN ON YOUR OWN TIME System Analysis and Design S.Mohammad Taheri S.Hamed Moghimi Fall 92 1 CHOOSE A PROGRAMMING LANGUAGE FOR THE PROJECT 2 CHOOSE A PROGRAMMING LANGUAGE

More information

AdTheorent s. The Intelligent Solution for Real-time Predictive Technology in Mobile Advertising. The Intelligent Impression TM

AdTheorent s. The Intelligent Solution for Real-time Predictive Technology in Mobile Advertising. The Intelligent Impression TM AdTheorent s Real-Time Learning Machine (RTLM) The Intelligent Solution for Real-time Predictive Technology in Mobile Advertising Worldwide mobile advertising revenue is forecast to reach $11.4 billion

More information

KnowledgeSEEKER POWERFUL SEGMENTATION, STRATEGY DESIGN AND VISUALIZATION SOFTWARE

KnowledgeSEEKER POWERFUL SEGMENTATION, STRATEGY DESIGN AND VISUALIZATION SOFTWARE POWERFUL SEGMENTATION, STRATEGY DESIGN AND VISUALIZATION SOFTWARE Most Effective Modeling Application Designed to Address Business Challenges Applying a predictive strategy to reach a desired business

More information

Hadoop 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 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 information

Accelerating Hadoop MapReduce Using an In-Memory Data Grid

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

More information

BIG DATA SOLUTION DATA SHEET

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

More information

Easy Execution of Data Mining Models through PMML

Easy Execution of Data Mining Models through PMML Easy Execution of Data Mining Models through PMML Zementis, Inc. UseR! 2009 Zementis Development, Deployment, and Execution of Predictive Models Development R allows for reliable data manipulation and

More information

Platform as a Service: The IBM point of view

Platform as a Service: The IBM point of view Platform as a Service: The IBM point of view Don Boulia Vice President Strategy, IBM and Private Cloud Contents 1 Defining Platform as a Service 2 The IBM view of PaaS 6 IBM offerings 7 Summary 7 For more

More information

Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight

Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight Pierpaolo Vezzosi, SAP SESSION CODE: 0605 Summary Who said you need a PhD to do sophisticated predictive analysis?

More information

Data Integration Checklist

Data Integration Checklist The need for data integration tools exists in every company, small to large. Whether it is extracting data that exists in spreadsheets, packaged applications, databases, sensor networks or social media

More information

Integrating a Big Data Platform into Government:

Integrating a Big Data Platform into Government: Integrating a Big Data Platform into Government: Drive Better Decisions for Policy and Program Outcomes John Haddad, Senior Director Product Marketing, Informatica Digital Government Institute s Government

More information

Advertising Automation SOFTWARE OVERVIEW

Advertising Automation SOFTWARE OVERVIEW Advertising Automation SOFTWARE OVERVIEW Nanigans powers the world s most successful in-house advertising teams. Automate your customer acquisition and remarketing campaigns using Nanigans, with programmatic

More information

Global Headquarters: 5 Speen Street Framingham, MA 01701 USA P.508.872.8200 F.508.935.4015 www.idc.com

Global Headquarters: 5 Speen Street Framingham, MA 01701 USA P.508.872.8200 F.508.935.4015 www.idc.com W H I T E P A P E R A p p l i c a t i o n D e l i v e r y f o r C l o u d S e r v i c e s : C u s t o m i z i n g S e r v i c e C r e a t i o n i n V i r t u a l E n v i r o n m e n t s Sponsored by: Brocade

More information

Databricks. A Primer

Databricks. A Primer Databricks A Primer Who is Databricks? Databricks was founded by the team behind Apache Spark, the most active open source project in the big data ecosystem today. Our mission at Databricks is to dramatically

More information

Big Data Everywhere. Chicago

Big Data Everywhere. Chicago Big Data Everywhere Chicago Introduction Background Proven leader MOMENTUM OVER THE PAST 12 MONTHS Increased YOY ARR bookings by 3x Grew customers by 4x and employees by 2x Launched 9 product versions

More information

CUSTOMER Presentation of SAP Predictive Analytics

CUSTOMER Presentation of SAP Predictive Analytics SAP Predictive Analytics 2.0 2015-02-09 CUSTOMER Presentation of SAP Predictive Analytics Content 1 SAP Predictive Analytics Overview....3 2 Deployment Configurations....4 3 SAP Predictive Analytics Desktop

More information

Oracle Big Data Building A Big Data Management System

Oracle Big Data Building A Big Data Management System Oracle Big Building A Big Management System Copyright 2015, Oracle and/or its affiliates. All rights reserved. Effi Psychogiou ECEMEA Big Product Director May, 2015 Safe Harbor Statement The following

More information

WE RUN SEVERAL ON AWS BECAUSE WE CRITICAL APPLICATIONS CAN SCALE AND USE THE INFRASTRUCTURE EFFICIENTLY.

WE RUN SEVERAL ON AWS BECAUSE WE CRITICAL APPLICATIONS CAN SCALE AND USE THE INFRASTRUCTURE EFFICIENTLY. WE RUN SEVERAL CRITICAL APPLICATIONS ON AWS BECAUSE WE CAN SCALE AND USE THE INFRASTRUCTURE EFFICIENTLY. - Murari Gopalan Director, Technology Expedia Expedia, a leading online travel company for leisure

More information

The basic data mining algorithms introduced may be enhanced in a number of ways.

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,

More information

Programming models for heterogeneous computing. Manuel Ujaldón Nvidia CUDA Fellow and A/Prof. Computer Architecture Department University of Malaga

Programming models for heterogeneous computing. Manuel Ujaldón Nvidia CUDA Fellow and A/Prof. Computer Architecture Department University of Malaga Programming models for heterogeneous computing Manuel Ujaldón Nvidia CUDA Fellow and A/Prof. Computer Architecture Department University of Malaga Talk outline [30 slides] 1. Introduction [5 slides] 2.

More information

Base One's Rich Client Architecture

Base One's Rich Client Architecture Base One's Rich Client Architecture Base One provides a unique approach for developing Internet-enabled applications, combining both efficiency and ease of programming through its "Rich Client" architecture.

More information

Tap into Big Data at the Speed of Business

Tap into Big Data at the Speed of Business SAP Brief SAP Technology SAP Sybase IQ Objectives Tap into Big Data at the Speed of Business A simpler, more affordable approach to Big Data analytics A simpler, more affordable approach to Big Data analytics

More information

Migration Scenario: Migrating Batch Processes to the AWS Cloud

Migration Scenario: Migrating Batch Processes to the AWS Cloud Migration Scenario: Migrating Batch Processes to the AWS Cloud Produce Ingest Process Store Manage Distribute Asset Creation Data Ingestor Metadata Ingestor (Manual) Transcoder Encoder Asset Store Catalog

More information

Cloud Computing. Chapter 1 Introducing Cloud Computing

Cloud Computing. Chapter 1 Introducing Cloud Computing Cloud Computing Chapter 1 Introducing Cloud Computing Learning Objectives Understand the abstract nature of cloud computing. Describe evolutionary factors of computing that led to the cloud. Describe virtualization

More information

Databricks. A Primer

Databricks. A Primer Databricks A Primer Who is Databricks? Databricks vision is to empower anyone to easily build and deploy advanced analytics solutions. The company was founded by the team who created Apache Spark, a powerful

More information

CIS 4930/6930 Spring 2014 Introduction to Data Science Data Intensive Computing. University of Florida, CISE Department Prof.

CIS 4930/6930 Spring 2014 Introduction to Data Science Data Intensive Computing. University of Florida, CISE Department Prof. CIS 4930/6930 Spring 2014 Introduction to Data Science Data Intensive Computing University of Florida, CISE Department Prof. Daisy Zhe Wang Cloud Computing and Amazon Web Services Cloud Computing Amazon

More information

Traffiliate White Paper

Traffiliate White Paper Traffiliate White Paper Introduction Optimization is a key component in any successful online advertising campaign. Current best practice focuses on pre-click optimization, striving to define a winning

More information

HADOOP IN ENTERPRISE FUTURE-PROOF YOUR BIG DATA INVESTMENTS WITH CASCADING. Supreet Oberoi Nov. 4-6, 2014 Big Data Expo Santa Clara

HADOOP IN ENTERPRISE FUTURE-PROOF YOUR BIG DATA INVESTMENTS WITH CASCADING. Supreet Oberoi Nov. 4-6, 2014 Big Data Expo Santa Clara DRIVING INNOVATION THROUGH DATA HADOOP IN ENTERPRISE FUTURE-PROOF YOUR BIG DATA INVESTMENTS WITH CASCADING Supreet Oberoi Nov. 4-6, 2014 Big Data Expo Santa Clara ABOUT ME I am a Data Engineer, not a Data

More information

Building your Big Data Architecture on Amazon Web Services

Building your Big Data Architecture on Amazon Web Services Building your Big Data Architecture on Amazon Web Services Abhishek Sinha @abysinha sinhaar@amazon.com AWS Services Deployment & Administration Application Services Compute Storage Database Networking

More information

The Virtualization Practice

The Virtualization Practice The Virtualization Practice White Paper: Managing Applications in Docker Containers Bernd Harzog Analyst Virtualization and Cloud Performance Management October 2014 Abstract Docker has captured the attention

More information

Hadoop s Advantages for! Machine! Learning and. Predictive! Analytics. Webinar will begin shortly. Presented by Hortonworks & Zementis

Hadoop s Advantages for! Machine! Learning and. Predictive! Analytics. Webinar will begin shortly. Presented by Hortonworks & Zementis Webinar will begin shortly Hadoop s Advantages for Machine Learning and Predictive Analytics Presented by Hortonworks & Zementis September 10, 2014 Copyright 2014 Zementis, Inc. All rights reserved. 2

More information

Ø Teaching Evaluations. q Open March 3 through 16. Ø Final Exam. q Thursday, March 19, 4-7PM. Ø 2 flavors: q Public Cloud, available to public

Ø Teaching Evaluations. q Open March 3 through 16. Ø Final Exam. q Thursday, March 19, 4-7PM. Ø 2 flavors: q Public Cloud, available to public Announcements TIM 50 Teaching Evaluations Open March 3 through 16 Final Exam Thursday, March 19, 4-7PM Lecture 19 20 March 12, 2015 Cloud Computing Cloud Computing: refers to both applications delivered

More information

Oracle Identity Analytics Architecture. An Oracle White Paper July 2010

Oracle Identity Analytics Architecture. An Oracle White Paper July 2010 Oracle Identity Analytics Architecture An Oracle White Paper July 2010 Disclaimer The following is intended to outline our general product direction. It is intended for information purposes only, and may

More information

Accelerating Web-Based SQL Server Applications with SafePeak Plug and Play Dynamic Database Caching

Accelerating Web-Based SQL Server Applications with SafePeak Plug and Play Dynamic Database Caching Accelerating Web-Based SQL Server Applications with SafePeak Plug and Play Dynamic Database Caching A SafePeak Whitepaper February 2014 www.safepeak.com Copyright. SafePeak Technologies 2014 Contents Objective...

More information

Creating Big Data Applications with Spring XD

Creating Big Data Applications with Spring XD Creating Big Data Applications with Spring XD Thomas Darimont @thomasdarimont THE FASTEST PATH TO NEW BUSINESS VALUE Journey Introduction Concepts Applications Outlook 3 Unless otherwise indicated, these

More information

Monitis Project Proposals for AUA. September 2014, Yerevan, Armenia

Monitis 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 information

What Is Microsoft Private Cloud Fast Track?

What Is Microsoft Private Cloud Fast Track? What Is Microsoft Private Cloud Fast Track? MICROSOFT PRIVATE CLOUD FAST TRACK is a reference architecture for building private clouds that combines Microsoft software, consolidated guidance, and validated

More information

EMC DOCUMENTUM Capital Projects Express. KEEP YOUR PROJECTS ON TRACK Flexible Document Control for Agile Teams

EMC DOCUMENTUM Capital Projects Express. KEEP YOUR PROJECTS ON TRACK Flexible Document Control for Agile Teams EMC DOCUMENTUM Capital Projects Express KEEP YOUR PROJECTS ON TRACK Flexible Document Control for Agile Teams SHARE THE CHALLENGES OF CAPITAL PROJECTS Managing capital projects, no matter their size or

More information

Software development & technologies in Market Research industry

Software development & technologies in Market Research industry Software development & technologies in Market Research industry Ember.js, PHP, ConfirmIt & Dimensions October 2014 1 ROC Online 2 Who we are and what we do? Team & Skills Process Software/Frameworks/Products

More information

Pulsar Realtime Analytics At Scale. Tony Ng April 14, 2015

Pulsar Realtime Analytics At Scale. Tony Ng April 14, 2015 Pulsar Realtime Analytics At Scale Tony Ng April 14, 2015 Big Data Trends Bigger data volumes More data sources DBs, logs, behavioral & business event streams, sensors Faster analysis Next day to hours

More information

Optimizing the Hybrid Cloud

Optimizing the Hybrid Cloud Judith Hurwitz President and CEO Marcia Kaufman COO and Principal Analyst Sponsored by IBM Introduction Hybrid cloud is fast becoming a reality for enterprises that want speed, predictability and flexibility

More information

Make the Most of Big Data to Drive Innovation Through Reseach

Make the Most of Big Data to Drive Innovation Through Reseach White Paper Make the Most of Big Data to Drive Innovation Through Reseach Bob Burwell, NetApp November 2012 WP-7172 Abstract Monumental data growth is a fact of life in research universities. The ability

More information

Data and Machine Architecture for the Data Science Lab Workflow Development, Testing, and Production for Model Training, Evaluation, and Deployment

Data and Machine Architecture for the Data Science Lab Workflow Development, Testing, and Production for Model Training, Evaluation, and Deployment Data and Machine Architecture for the Data Science Lab Workflow Development, Testing, and Production for Model Training, Evaluation, and Deployment Rosaria Silipo Marco A. Zimmer Rosaria.Silipo@knime.com

More information

Big Data Executive Survey

Big Data Executive Survey Big Data Executive Full Questionnaire Big Date Executive Full Questionnaire Appendix B Questionnaire Welcome The survey has been designed to provide a benchmark for enterprises seeking to understand the

More information

Computing in a virtual world Cloud Computing

Computing in a virtual world Cloud Computing Computing in a virtual world Cloud Computing Just what is cloud computing anyway? Skeptics might say it is nothing but industry hyperbole, visionaries might say it is the future of IT. In realty, both

More information

IBM Global Business Services Microsoft Dynamics CRM solutions from IBM

IBM Global Business Services Microsoft Dynamics CRM solutions from IBM IBM Global Business Services Microsoft Dynamics CRM solutions from IBM Power your productivity 2 Microsoft Dynamics CRM solutions from IBM Highlights Win more deals by spending more time on selling and

More information

Professional Hadoop Solutions

Professional Hadoop Solutions Brochure More information from http://www.researchandmarkets.com/reports/2542488/ Professional Hadoop Solutions Description: The go-to guidebook for deploying Big Data solutions with Hadoop Today's enterprise

More information

EMC Greenplum Driving the Future of Data Warehousing and Analytics. Tools and Technologies for Big Data

EMC Greenplum Driving the Future of Data Warehousing and Analytics. Tools and Technologies for Big Data EMC Greenplum Driving the Future of Data Warehousing and Analytics Tools and Technologies for Big Data Steven Hillion V.P. Analytics EMC Data Computing Division 1 Big Data Size: The Volume Of Data Continues

More information

Interactive data analytics drive insights

Interactive data analytics drive insights Big data Interactive data analytics drive insights Daniel Davis/Invodo/S&P. Screen images courtesy of Landmark Software and Services By Armando Acosta and Joey Jablonski The Apache Hadoop Big data has

More information

CIC Audit Review: Experian Data Quality Enterprise Integrations. Guidance for maximising your investment in enterprise applications

CIC Audit Review: Experian Data Quality Enterprise Integrations. Guidance for maximising your investment in enterprise applications CIC Audit Review: Experian Data Quality Enterprise Integrations Guidance for maximising your investment in enterprise applications February 2014 Table of contents 1. Challenge Overview 03 1.1 Experian

More information

Web analytics: Data Collected via the Internet

Web analytics: Data Collected via the Internet Database Marketing Fall 2016 Web analytics (incl real-time data) Collaborative filtering Facebook advertising Mobile marketing Slide set 8 1 Web analytics: Data Collected via the Internet Customers can

More information

2015 Ironside Group, Inc. 2

2015 Ironside Group, Inc. 2 2015 Ironside Group, Inc. 2 Introduction to Ironside What is Cloud, Really? Why Cloud for Data Warehousing? Intro to IBM PureData for Analytics (IPDA) IBM PureData for Analytics on Cloud Intro to IBM dashdb

More information

Programming directives are popular in

Programming directives are popular in Web-Scale Workflow Editor: Schahram Dustdar dustdar@dsg.tuwien.ac.at Programming Directives for Elastic Computing Schahram Dustdar Vienna University of Technology Yike Guo and Rui Han Imperial College

More information

Big Data - Infrastructure Considerations

Big Data - Infrastructure Considerations April 2014, HAPPIEST MINDS TECHNOLOGIES Big Data - Infrastructure Considerations Author Anand Veeramani / Deepak Shivamurthy SHARING. MINDFUL. INTEGRITY. LEARNING. EXCELLENCE. SOCIAL RESPONSIBILITY. Copyright

More information

Dell* In-Memory Appliance for Cloudera* Enterprise

Dell* In-Memory Appliance for Cloudera* Enterprise Built with Intel Dell* In-Memory Appliance for Cloudera* Enterprise Find out what faster big data analytics can do for your business The need for speed in all things related to big data is an enormous

More information

How In-Memory Data Grids Can Analyze Fast-Changing Data in Real Time

How In-Memory Data Grids Can Analyze Fast-Changing Data in Real Time SCALEOUT SOFTWARE How In-Memory Data Grids Can Analyze Fast-Changing Data in Real Time by Dr. William Bain and Dr. Mikhail Sobolev, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 T wenty-first

More information

Using DeployR to Solve the R Integration Problem

Using DeployR to Solve the R Integration Problem DEPLOYR WHITE PAPER Using DeployR to olve the R Integration Problem By the Revolution Analytics DeployR Team March 2015 Introduction Organizations use analytics to empower decision making, often in real

More information

A Brief Introduction to Apache Tez

A Brief Introduction to Apache Tez A Brief Introduction to Apache Tez Introduction It is a fact that data is basically the new currency of the modern business world. Companies that effectively maximize the value of their data (extract value

More information

ANALYTICS CENTER LEARNING PROGRAM

ANALYTICS 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 information

Up Your R Game. James Taylor, Decision Management Solutions Bill Franks, Teradata

Up Your R Game. James Taylor, Decision Management Solutions Bill Franks, Teradata Up Your R Game James Taylor, Decision Management Solutions Bill Franks, Teradata Today s Speakers James Taylor Bill Franks CEO Chief Analytics Officer Decision Management Solutions Teradata 7/28/14 3 Polling

More information

Cloud Computing. Chapter 1 Introducing Cloud Computing

Cloud Computing. Chapter 1 Introducing Cloud Computing Cloud Computing Chapter 1 Introducing Cloud Computing Learning Objectives Understand the abstract nature of cloud computing. Describe evolutionary factors of computing that led to the cloud. Describe virtualization

More information

MicroStrategy Course Catalog

MicroStrategy Course Catalog MicroStrategy Course Catalog 1 microstrategy.com/education 3 MicroStrategy course matrix 4 MicroStrategy 9 8 MicroStrategy 10 table of contents MicroStrategy course matrix MICROSTRATEGY 9 MICROSTRATEGY

More information

KNIME UGM 2014 Partner Session

KNIME UGM 2014 Partner Session KNIME UGM 2014 Partner Session DYMATRIX Stefan Weingaertner DYMATRIX CONSULTING GROUP 1 Agenda 1 Company Introduction 2 DYMATRIX Customer Intelligence Offering 3 PMML2SQL / PMML2SAS Converter 4 Uplift

More information

Here s your full marketing OS. Reimagined.

Here s your full marketing OS. Reimagined. Here s your full marketing OS. Reimagined. We believe advertising should be personal across every connected device and that marketers should focus on attracting customers instead of managing the complexity

More information

Modern IT Operations Management. Why a New Approach is Required, and How Boundary Delivers

Modern IT Operations Management. Why a New Approach is Required, and How Boundary Delivers Modern IT Operations Management Why a New Approach is Required, and How Boundary Delivers TABLE OF CONTENTS EXECUTIVE SUMMARY 3 INTRODUCTION: CHANGING NATURE OF IT 3 WHY TRADITIONAL APPROACHES ARE FAILING

More information

Hadoop & Spark Using Amazon EMR

Hadoop & 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 information

Newsletter LATEST NEWS. www.celarcloud.eu CELAR: THE CHALLENGE

Newsletter LATEST NEWS. www.celarcloud.eu CELAR: THE CHALLENGE Newsletter Automatic, Multi-Grained Elasticity-provisioning for the Cloud NUMBER 1 LATEST NEWS CELARCLOUD.EU REACHES 350 MONTHLY VISITS CELAR: OUTCOME AND IMPACT CELAR: THE CHALLENGE Cloud computing as

More information