Analyzing Big Data with AWS

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Analyzing Big Data with AWS"

Transcription

1 Analyzing Big Data with AWS Peter Sirota, General Manager, Amazon Elastic

2 What is Big Data?

3 Computer generated data Application server logs (web sites, games) Sensor data (weather, water, smart grids) Images/videos (traffic, security cameras)

4 Human generated data Twitter Firehose (50 mil tweets/day 1,400% growth per year) Blogs/Reviews/ s/Pictures Social graphs Facebook, linked-in, contacts

5 Big Data is full of valuable, unanswered questions!

6 Why is Big Data Hard (and Getting Harder)?

7 Why is Big Data Hard (and Getting Harder)? Data Volume Unconstrained growth Current systems don t scale

8 Why is Big Data Hard (and Getting Harder)? Data Structure Need to consolidate data from multiple data sources in multiple formats across multiple businesses

9 Why is Big Data Hard (and Getting Harder)? Changing Data Requirements Faster response time of fresher data Sampling is not good enough Increasing complexity of analytics Users demand inexpensive experimentation

10 We need tools built specifically for Big Data!

11 Innovation #1: Apache Hadoop The MapReduce computational paradigm Open source, scalable, fault tolerant, distributed system Hadoop lowers the cost of developing a distributed system for data processing

12 Innovation #2: Amazon Elastic Compute Cloud (EC2) provides resizable compute capacity in the cloud. Amazon EC2 lowers the cost of operating a distributed system for data processing

13 Amazon Elastic MapReduce = Amazon EC2 + Hadoop

14 Elastic MapReduce applications Targeted advertising / Clickstream analysis Security: anti-virus, fraud detection, image recognition Pattern matching / Recommendations Data warehousing / BI Bio-informatics (Genome analysis) Financial simulation (Monte Carlo simulation) File processing (resize jpegs, video encoding) Web indexing

15 Clickstream Analysis Big Box Retailer came to Razorfish 3.5 billion records 71 million unique cookies 1.7 million targeted ads required per day Problem: Improve Return on Ad Spend (ROAS)

16 Clickstream Analysis User recently purchased a sports movie and is searching for video games Targeted Ad (1.7 Million per day)

17 Clickstream Analysis Lots of experimentation but final design: 100 node on-demand Elastic MapReduce cluster running Hadoop

18 Clickstream Analysis Processing time dropped from 2+ days to 8 hours (with lots more data)

19 Clickstream Analysis Increased Return On Ad Spend by 500%

20 World s largest handmade marketplace 8.9 million items 1 billion page view per month $320MM 2010 GMS

21 Job Job Web event logs ETL Step 1 ETL Step 2 Production DB snapshots Job Easy to backfill and run experiments just boot up a cluster with 100, 500, or 1000 nodes

22 Recommendations The Taste Test

23 Recommendations Gift Ideas for Facebook Friends etsy.com/gifts

24

25 Yelp s Business Generates a Lot of Data 400 GB of logs per day ~12 Terabytes per month

26 They Frequently Analyze this Data to Power Key Features of their Site

27 Autocomplete Search

28 Recommendations

29 Automatic spelling corrections

30 Automatic spelling corrections Let s take a Look at how this works

31 1) Load log file data for six months of user search history into Amazon S3 Amazon S3 Search ID Search Text Final Selection westen Westin wisten Westin westenn Westin

32 Hadoop Cluster 2) Spin up a 200 node cluster of virtual servers in the cloud Log Files Amazon S3 Amazon EMR

33 Hadoop Cluster 3) 200 nodes simultaneously analyze this data looking for common misspellings this takes a few hours Amazon S3 Amazon EMR

34 Hadoop Cluster 4) New common misspellings and suggestions loaded back into S3 Log Files Amazon S3 Amazon EMR

35 5) When the job is done, the cluster is shut down. Yelp only pays for the time they used. Log Files Amazon S3 Amazon EMR

36 Each of their 80 developers can do this whenever they have a big data problem to analyze Log file data 250 clusters spun up and down every week

37

38 Data size Global reach Native app for almost every smartphone, SMS, web, mobile-web 10M+ users, 15M+ venues, ~1B check-ins Terabytes of log data

39 Data Stack Application Stack Stack Scala/Liftweb API Machines WWW Machines Batch Jobs Scala Application code Mongo/Postgres/Flat Files Databases Logs mongoexport postgres dump Flume Amazon S3 Database Dumps Log Files Hadoop Elastic Map Reduce Hive/Ruby/Mahout Analytics Dashboard Map Reduce Jobs

40 Computing venue-to-venue similarity Spin up 40 node cluster Submit Ruby streaming job Invert User x Venue matrix Grab Co-occurrences Compute similarity Spin down cluster Load data to app server

41 Who is checking in? 0.6 Gender Age Female Male

42 What are people doing?

43 Where are our users?

44 When do people go to a place? Gorilla Coffee Gray's Papaya Amorino Thursday Friday Saturday Sunday

45 Why are people checking in? Explore their city, discover new places Find friends, meet up Save with local deals Get insider tips on venues Personal analytics, diary Follow brands and celebrities Earn points, badges, gamification of life The list grows

46 Over 1000 s customers using EMR

47 RDBMS vs. MapReduce/Hadoop RDBMS Predefined schema Strategic data placement for query tuning Exploit indexes for fast retrieving SQL only Doesn t scale linearly MapReduce/Hadoop No schema is required Random data placement Fast scan of the entire dataset Uniform query performance Linearly scales for reads and writes Support many languages including SQL Complementary technologies

48 AWS Data Warehousing Architecture

49 Elastic Data Warehouse Customize cluster size to support varying resource needs (e.g. query support during the day versus batch processing overnight) Reduce costs by increasing server utilization Improve performance during high usage periods Data Warehouse (Steady State) Data Warehouse (Batch Processing) Data Warehouse (Steady State) Expand to 25 instances Shrink to 9 instances

50 Reducing Costs with Spot Instances Mix Spot and On-Demand instances to reduce cost and accelerate computation while protecting against interruption Scenario #1 Job Flow Duration: 14 Hours Scenario #2 Job Flow Duration: 7 Hours #1: Cost without Spot 4 instances *14 hrs * $0.50 = $28 #2: Cost with Spot 4 instances *7 hrs * $0.50 = $ instances * 7 hrs * $0.25 = $8.75 Total = $21.75 Time Savings: 50% Cost Savings: ~22% Other EMR + Spot Use Cases Run entire cluster on Spot for biggest cost savings Reduce the cost of application testing

51 Big Data Ecosystem And Tools We have a rapidly growing ecosystem Business Intelligence MicroStrategy, Pentaho Analytics Datameer, Karmasphere, Quest Open source Ganglia, Squirrel SQL

52 Thank You!!

Analytics in the Cloud. Peter Sirota, GM Elastic MapReduce

Analytics 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 information

Big Data for everyone Democratizing big data with the cloud. Steffen Krause Technical Evangelist @AWS_Aktuell skrause@amazon.de

Big Data for everyone Democratizing big data with the cloud. Steffen Krause Technical Evangelist @AWS_Aktuell skrause@amazon.de Big Data for everyone Democratizing big data with the cloud Steffen Krause Technical Evangelist @AWS_Aktuell skrause@amazon.de Does this Data make me look big? Overview Designing big data solutions in

More information

Big Data on AWS. Services Overview. Bernie Nallamotu Principle Solutions Architect

Big Data on AWS. Services Overview. Bernie Nallamotu Principle Solutions Architect on AWS Services Overview Bernie Nallamotu Principle Solutions Architect \ So what is it? When your data sets become so large that you have to start innovating around how to collect, store, organize, analyze

More information

BIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES

BIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES BIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES Relational vs. Non-Relational Architecture Relational Non-Relational Rational Predictable Traditional Agile Flexible Modern 2 Agenda Big Data

More information

AGENDA. What is BIG DATA? What is Hadoop? Why Microsoft? The Microsoft BIG DATA story. Our BIG DATA Roadmap. Hadoop PDW

AGENDA. What is BIG DATA? What is Hadoop? Why Microsoft? The Microsoft BIG DATA story. Our BIG DATA Roadmap. Hadoop PDW AGENDA What is BIG DATA? What is Hadoop? Why Microsoft? The Microsoft BIG DATA story Hadoop PDW Our BIG DATA Roadmap BIG DATA? Volume 59% growth in annual WW information 1.2M Zetabytes (10 21 bytes) this

More information

Real Time Big Data Processing

Real Time Big Data Processing Real Time Big Data Processing Cloud Expo 2014 Ian Meyers Amazon Web Services Global Infrastructure Deployment & Administration App Services Analytics Compute Storage Database Networking AWS Global Infrastructure

More information

Tap into Hadoop and Other No SQL Sources

Tap into Hadoop and Other No SQL Sources Tap into Hadoop and Other No SQL Sources Presented by: Trishla Maru What is Big Data really? The Three Vs of Big Data According to Gartner Volume Volume Orders of magnitude bigger than conventional data

More information

The Future of Data Management

The Future of Data Management The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah (@awadallah) Cofounder and CTO Cloudera Snapshot Founded 2008, by former employees of Employees Today ~ 800 World Class

More information

So What s the Big Deal?

So What s the Big Deal? So What s the Big Deal? Presentation Agenda Introduction What is Big Data? So What is the Big Deal? Big Data Technologies Identifying Big Data Opportunities Conducting a Big Data Proof of Concept Big Data

More information

The Enterprise Data Hub and The Modern Information Architecture

The Enterprise Data Hub and The Modern Information Architecture The Enterprise Data Hub and The Modern Information Architecture Dr. Amr Awadallah CTO & Co-Founder, Cloudera Twitter: @awadallah 1 2013 Cloudera, Inc. All rights reserved. Cloudera Overview The Leader

More information

Amazon Elastic MapReduce. Jinesh Varia Peter Sirota Richard Cole

Amazon Elastic MapReduce. Jinesh Varia Peter Sirota Richard Cole Amazon Elastic MapReduce Jinesh Varia Peter Sirota Richard Cole Start End From IDE Command line Web Console Notify Input Data Get Results Start End From IDE Command line Web Console AWS EC2 Instance Notify

More information

BIG DATA TRENDS AND TECHNOLOGIES

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.

More information

#mstrworld. Tapping into Hadoop and NoSQL Data Sources in MicroStrategy. Presented by: Trishla Maru. #mstrworld

#mstrworld. Tapping into Hadoop and NoSQL Data Sources in MicroStrategy. Presented by: Trishla Maru. #mstrworld Tapping into Hadoop and NoSQL Data Sources in MicroStrategy Presented by: Trishla Maru Agenda Big Data Overview All About Hadoop What is Hadoop? How does MicroStrategy connects to Hadoop? Customer Case

More information

Managing 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 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 information

Session 1: IT Infrastructure Security Vertica / Hadoop Integration and Analytic Capabilities for Federal Big Data Challenges

Session 1: IT Infrastructure Security Vertica / Hadoop Integration and Analytic Capabilities for Federal Big Data Challenges Session 1: IT Infrastructure Security Vertica / Hadoop Integration and Analytic Capabilities for Federal Big Data Challenges James Campbell Corporate Systems Engineer HP Vertica jcampbell@vertica.com Big

More information

Big Data Analytics. with EMC Greenplum and Hadoop. Big Data Analytics. Ofir Manor Pre Sales Technical Architect EMC Greenplum

Big Data Analytics. with EMC Greenplum and Hadoop. Big Data Analytics. Ofir Manor Pre Sales Technical Architect EMC Greenplum Big Data Analytics with EMC Greenplum and Hadoop Big Data Analytics with EMC Greenplum and Hadoop Ofir Manor Pre Sales Technical Architect EMC Greenplum 1 Big Data and the Data Warehouse Potential All

More information

III Big Data Technologies

III Big Data Technologies 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 information

How to Leverage Cloud to Quickly Build Scalable Applications

How to Leverage Cloud to Quickly Build Scalable Applications How to Leverage Cloud to Quickly Build Scalable Applications Chris Keyser Principal Solution Architect David Polley Senior Director Cloud Product Management Cloud Growth Recent IDC cloud research shows

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

Next-Generation Cloud Analytics with Amazon Redshift

Next-Generation Cloud Analytics with Amazon Redshift Next-Generation Cloud Analytics with Amazon Redshift What s inside Introduction Why Amazon Redshift is Great for Analytics Cloud Data Warehousing Strategies for Relational Databases Analyzing Fast, Transactional

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

Tapping Into Hadoop and NoSQL Data Sources with MicroStrategy. Presented by: Jeffrey Zhang and Trishla Maru

Tapping Into Hadoop and NoSQL Data Sources with MicroStrategy. Presented by: Jeffrey Zhang and Trishla Maru Tapping Into Hadoop and NoSQL Data Sources with MicroStrategy Presented by: Jeffrey Zhang and Trishla Maru Agenda Big Data Overview All About Hadoop What is Hadoop? How does MicroStrategy connects to Hadoop?

More information

Big data blue print for cloud architecture

Big data blue print for cloud architecture Big data blue print for cloud architecture -COGNIZANT Image Area Prabhu Inbarajan Srinivasan Thiruvengadathan Muralicharan Gurumoorthy Praveen Codur 2012, Cognizant Next 30 minutes Big Data / Cloud challenges

More information

BIG DATA What it is and how to use?

BIG 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 information

Simplifying Big Data Analytics: Unifying Batch and Stream Processing. John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!!

Simplifying Big Data Analytics: Unifying Batch and Stream Processing. John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!! Simplifying Big Data Analytics: Unifying Batch and Stream Processing John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!! Streaming Analy.cs S S S Scale- up Database Data And Compute Grid

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

Firebird meets NoSQL (Apache HBase) Case Study

Firebird meets NoSQL (Apache HBase) Case Study 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 information

Datenverwaltung im Wandel - Building an Enterprise Data Hub with

Datenverwaltung im Wandel - Building an Enterprise Data Hub with Datenverwaltung im Wandel - Building an Enterprise Data Hub with Cloudera Bernard Doering Regional Director, Central EMEA, Cloudera Cloudera Your Hadoop Experts Founded 2008, by former employees of Employees

More information

Big Data & QlikView. Democratizing Big Data Analytics. David Freriks Principal Solution Architect

Big Data & QlikView. Democratizing Big Data Analytics. David Freriks Principal Solution Architect Big Data & QlikView Democratizing Big Data Analytics David Freriks Principal Solution Architect TDWI Vancouver Agenda What really is Big Data? How do we separate hype from reality? How does that relate

More information

Are You Ready for Big Data?

Are You Ready for Big Data? Are You Ready for Big Data? Jim Gallo National Director, Business Analytics April 10, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?

More information

SOLVING REAL AND BIG (DATA) PROBLEMS USING HADOOP. Eva Andreasson Cloudera

SOLVING 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 information

Microsoft Big Data. Solution Brief

Microsoft Big Data. Solution Brief Microsoft Big Data Solution Brief Contents Introduction... 2 The Microsoft Big Data Solution... 3 Key Benefits... 3 Immersive Insight, Wherever You Are... 3 Connecting with the World s Data... 3 Any Data,

More information

Are You Ready for Big Data?

Are You Ready for Big Data? Are You Ready for Big Data? Jim Gallo National Director, Business Analytics February 11, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?

More information

Lambda 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. 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 information

Native Connectivity to Big Data Sources in MSTR 10

Native Connectivity to Big Data Sources in MSTR 10 Native Connectivity to Big Data Sources in MSTR 10 Bring All Relevant Data to Decision Makers Support for More Big Data Sources Optimized Access to Your Entire Big Data Ecosystem as If It Were a Single

More information

5 Keys to Unlocking the Big Data Analytics Puzzle. Anurag Tandon Director, Product Marketing March 26, 2014

5 Keys to Unlocking the Big Data Analytics Puzzle. Anurag Tandon Director, Product Marketing March 26, 2014 5 Keys to Unlocking the Big Data Analytics Puzzle Anurag Tandon Director, Product Marketing March 26, 2014 1 A Little About Us A global footprint. A proven innovator. A leader in enterprise analytics for

More information

DATAMEER WHITE PAPER. Beyond BI. Big Data Analytic Use Cases

DATAMEER WHITE PAPER. Beyond BI. Big Data Analytic Use Cases DATAMEER WHITE PAPER Beyond BI Big Data Analytic Use Cases This white paper discusses the types and characteristics of big data analytics use cases, how they differ from traditional business intelligence

More information

Apache Hadoop in the Enterprise. Dr. Amr Awadallah, CTO/Founder @awadallah, aaa@cloudera.com

Apache Hadoop in the Enterprise. Dr. Amr Awadallah, CTO/Founder @awadallah, aaa@cloudera.com Apache Hadoop in the Enterprise Dr. Amr Awadallah, CTO/Founder @awadallah, aaa@cloudera.com Cloudera The Leader in Big Data Management Powered by Apache Hadoop The Leading Open Source Distribution of Apache

More information

The Future of Data Management with Hadoop and the Enterprise Data Hub

The 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 information

QLIKVIEW INTEGRATION TION WITH AMAZON REDSHIFT John Park Partner Engineering

QLIKVIEW INTEGRATION TION WITH AMAZON REDSHIFT John Park Partner Engineering QLIKVIEW INTEGRATION TION WITH AMAZON REDSHIFT John Park Partner Engineering June 2014 Page 1 Contents Introduction... 3 About Amazon Web Services (AWS)... 3 About Amazon Redshift... 3 QlikView on AWS...

More information

Big Data Analytics. Lucas Rego Drumond

Big Data Analytics. Lucas Rego Drumond Big Data Analytics Lucas Rego Drumond Information Systems and Machine Learning Lab (ISMLL) Institute of Computer Science University of Hildesheim, Germany Big Data Analytics Big Data Analytics 1 / 36 Outline

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

Big Data on Microsoft Platform

Big 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 information

SELLING PROJECTS ON THE MICROSOFT BUSINESS ANALYTICS PLATFORM

SELLING PROJECTS ON THE MICROSOFT BUSINESS ANALYTICS PLATFORM David Chappell SELLING PROJECTS ON THE MICROSOFT BUSINESS ANALYTICS PLATFORM A PERSPECTIVE FOR SYSTEMS INTEGRATORS Sponsored by Microsoft Corporation Copyright 2014 Chappell & Associates Contents Business

More information

www.pwc.com/oracle Next presentation starting soon Business Analytics using Big Data to gain competitive advantage

www.pwc.com/oracle Next presentation starting soon Business Analytics using Big Data to gain competitive advantage www.pwc.com/oracle Next presentation starting soon Business Analytics using Big Data to gain competitive advantage If every image made and every word written from the earliest stirring of civilization

More information

BEYOND BI: Big Data Analytic Use Cases

BEYOND BI: Big Data Analytic Use Cases BEYOND BI: Big Data Analytic Use Cases Big Data Analytics Use Cases This white paper discusses the types and characteristics of big data analytics use cases, how they differ from traditional business intelligence

More information

Virtualizing Apache Hadoop. June, 2012

Virtualizing Apache Hadoop. June, 2012 June, 2012 Table of Contents EXECUTIVE SUMMARY... 3 INTRODUCTION... 3 VIRTUALIZING APACHE HADOOP... 4 INTRODUCTION TO VSPHERE TM... 4 USE CASES AND ADVANTAGES OF VIRTUALIZING HADOOP... 4 MYTHS ABOUT RUNNING

More information

INTELLIGENT BUSINESS STRATEGIES WHITE PAPER

INTELLIGENT BUSINESS STRATEGIES WHITE PAPER INTELLIGENT BUSINESS STRATEGIES WHITE PAPER Improving Access to Data for Successful Business Intelligence Part 2: Supporting Multiple Analytical Workloads in a Changing Analytical Landscape By Mike Ferguson

More information

NoSQL for SQL Professionals William McKnight

NoSQL for SQL Professionals William McKnight NoSQL for SQL Professionals William McKnight Session Code BD03 About your Speaker, William McKnight President, McKnight Consulting Group Frequent keynote speaker and trainer internationally Consulted to

More information

Architecting for Big Data Analytics and Beyond: A New Framework for Business Intelligence and Data Warehousing

Architecting for Big Data Analytics and Beyond: A New Framework for Business Intelligence and Data Warehousing Architecting for Big Data Analytics and Beyond: A New Framework for Business Intelligence and Data Warehousing Wayne W. Eckerson Director of Research, TechTarget Founder, BI Leadership Forum Business Analytics

More information

BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON

BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON Overview * Introduction * Multiple faces of Big Data * Challenges of Big Data * Cloud Computing

More information

Big Data, Why All the Buzz? (Abridged) Anita Luthra, February 20, 2014

Big 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 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

HDP Hadoop From concept to deployment.

HDP 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 information

Industry Impact of Big Data in the Cloud: An IBM Perspective

Industry Impact of Big Data in the Cloud: An IBM Perspective Industry Impact of Big Data in the Cloud: An IBM Perspective Inhi Cho Suh IBM Software Group, Information Management Vice President, Product Management and Strategy email: inhicho@us.ibm.com twitter: @inhicho

More information

Executive Summary... 2 Introduction... 3. Defining Big Data... 3. The Importance of Big Data... 4 Building a Big Data Platform...

Executive Summary... 2 Introduction... 3. Defining Big Data... 3. The Importance of Big Data... 4 Building a Big Data Platform... Executive Summary... 2 Introduction... 3 Defining Big Data... 3 The Importance of Big Data... 4 Building a Big Data Platform... 5 Infrastructure Requirements... 5 Solution Spectrum... 6 Oracle s Big Data

More information

End to End Solution to Accelerate Data Warehouse Optimization. Franco Flore Alliance Sales Director - APJ

End to End Solution to Accelerate Data Warehouse Optimization. Franco Flore Alliance Sales Director - APJ End to End Solution to Accelerate Data Warehouse Optimization Franco Flore Alliance Sales Director - APJ Big Data Is Driving Key Business Initiatives Increase profitability, innovation, customer satisfaction,

More information

Big Data Use Case. How Rackspace is using Private Cloud for Big Data. Bryan Thompson. May 8th, 2013

Big Data Use Case. How Rackspace is using Private Cloud for Big Data. Bryan Thompson. May 8th, 2013 Big Data Use Case How Rackspace is using Private Cloud for Big Data Bryan Thompson May 8th, 2013 Our Big Data Problem Consolidate all monitoring data for reporting and analytical purposes. Every device

More information

Big Data: Tools and Technologies in Big Data

Big Data: Tools and Technologies in Big Data Big Data: Tools and Technologies in Big Data Jaskaran Singh Student Lovely Professional University, Punjab Varun Singla Assistant Professor Lovely Professional University, Punjab ABSTRACT Big data can

More information

Industry 4.0 and Big Data

Industry 4.0 and Big Data Industry 4.0 and Big Data Marek Obitko, mobitko@ra.rockwell.com Senior Research Engineer 03/25/2015 PUBLIC PUBLIC - 5058-CO900H 2 Background Joint work with Czech Institute of Informatics, Robotics and

More information

BIG DATA: FIVE TACTICS TO MODERNIZE YOUR DATA WAREHOUSE

BIG DATA: FIVE TACTICS TO MODERNIZE YOUR DATA WAREHOUSE BIG DATA: FIVE TACTICS TO MODERNIZE YOUR DATA WAREHOUSE Current technology for Big Data allows organizations to dramatically improve return on investment (ROI) from their existing data warehouse environment.

More information

W H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract

W H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract W H I T E P A P E R Deriving Intelligence from Large Data Using Hadoop and Applying Analytics Abstract This white paper is focused on discussing the challenges facing large scale data processing and the

More information

Introduction to Big Data! with Apache Spark" UC#BERKELEY#

Introduction 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 information

Using Tableau Software with Hortonworks Data Platform

Using Tableau Software with Hortonworks Data Platform Using Tableau Software with Hortonworks Data Platform September 2013 2013 Hortonworks Inc. http:// Modern businesses need to manage vast amounts of data, and in many cases they have accumulated this data

More information

From Spark to Ignition:

From Spark to Ignition: From Spark to Ignition: Fueling Your Business on Real-Time Analytics Eric Frenkiel, MemSQL CEO June 29, 2015 San Francisco, CA What s in Store For This Presentation? 1. MemSQL: A real-time database for

More information

The 4 Pillars of Technosoft s Big Data Practice

The 4 Pillars of Technosoft s Big Data Practice beyond possible Big Use End-user applications Big Analytics Visualisation tools Big Analytical tools Big management systems The 4 Pillars of Technosoft s Big Practice Overview Businesses have long managed

More information

Big Data & Cloud Computing. Faysal Shaarani

Big Data & Cloud Computing. Faysal Shaarani Big Data & Cloud Computing Faysal Shaarani Agenda Business Trends in Data What is Big Data? Traditional Computing Vs. Cloud Computing Snowflake Architecture for the Cloud Business Trends in Data Critical

More information

Why Big Data Analytics?

Why Big Data Analytics? An ebook by Datameer Why Big Data Analytics? Three Business Challenges Best Addressed Using Big Data Analytics It s hard to overstate the importance of data for businesses today. It s the lifeline of any

More information

SAS BIG DATA SOLUTIONS ON AWS SAS FORUM ESPAÑA, OCTOBER 16 TH, 2014 IAN MEYERS SOLUTIONS ARCHITECT / AMAZON WEB SERVICES

SAS BIG DATA SOLUTIONS ON AWS SAS FORUM ESPAÑA, OCTOBER 16 TH, 2014 IAN MEYERS SOLUTIONS ARCHITECT / AMAZON WEB SERVICES SAS BIG DATA SOLUTIONS ON AWS SAS FORUM ESPAÑA, OCTOBER 16 TH, 2014 IAN MEYERS SOLUTIONS ARCHITECT / AMAZON WEB SERVICES AWS GLOBAL INFRASTRUCTURE 10 Regions 25 Availability Zones 51 Edge locations WHAT

More information

Transforming the Telecoms Business using Big Data and Analytics

Transforming 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 information

Deploying Big Data to the Cloud: Roadmap for Success

Deploying Big Data to the Cloud: Roadmap for Success Deploying Big Data to the Cloud: Roadmap for Success James Kobielus Chair, CSCC Big Data in the Cloud Working Group IBM Big Data Evangelist. IBM Data Magazine, Editor-in- Chief. IBM Senior Program Director,

More information

TECHNOLOGY TRANSFER PRESENTS MIKE FERGUSON BIG DATA MULTI-PLATFORM JUNE 25-27, 2014 RESIDENZA DI RIPETTA - VIA DI RIPETTA, 231 ROME (ITALY)

TECHNOLOGY TRANSFER PRESENTS MIKE FERGUSON BIG DATA MULTI-PLATFORM JUNE 25-27, 2014 RESIDENZA DI RIPETTA - VIA DI RIPETTA, 231 ROME (ITALY) TECHNOLOGY TRANSFER PRESENTS MIKE FERGUSON BIG DATA MULTI-PLATFORM ANALYTICS JUNE 25-27, 2014 RESIDENZA DI RIPETTA - VIA DI RIPETTA, 231 ROME (ITALY) info@technologytransfer.it www.technologytransfer.it

More information

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, 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 information

INTRODUCTION TO APACHE HADOOP MATTHIAS BRÄGER CERN GS-ASE

INTRODUCTION 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 information

BIG DATA AND THE ENTERPRISE DATA WAREHOUSE WORKSHOP

BIG DATA AND THE ENTERPRISE DATA WAREHOUSE WORKSHOP BIG DATA AND THE ENTERPRISE DATA WAREHOUSE WORKSHOP Business Analytics for All Amsterdam - 2015 Value of Big Data is Being Recognized Executives beginning to see the path from data insights to revenue

More information

Forecast of Big Data Trends. Assoc. Prof. Dr. Thanachart Numnonda Executive Director IMC Institute 3 September 2014

Forecast of Big Data Trends. Assoc. Prof. Dr. Thanachart Numnonda Executive Director IMC Institute 3 September 2014 Forecast of Big Data Trends Assoc. Prof. Dr. Thanachart Numnonda Executive Director IMC Institute 3 September 2014 Big Data transforms Business 2 Data created every minute Source http://mashable.com/2012/06/22/data-created-every-minute/

More information

Managing Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges

Managing Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges Managing Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges Prerita Gupta Research Scholar, DAV College, Chandigarh Dr. Harmunish Taneja Department of Computer Science and

More information

Splunk Operational Visibility

Splunk Operational Visibility Copyright 2015 Splunk Inc. Splunk Operational Visibility Matthias Maier Sales Engineer, CISSP Safe Harbor Statement During the course of this presentation, we may make forward looking statements regarding

More information

Background on Elastic Compute Cloud (EC2) AMI s to choose from including servers hosted on different Linux distros

Background on Elastic Compute Cloud (EC2) AMI s to choose from including servers hosted on different Linux distros David Moses January 2014 Paper on Cloud Computing I Background on Tools and Technologies in Amazon Web Services (AWS) In this paper I will highlight the technologies from the AWS cloud which enable you

More information

Chukwa, Hadoop subproject, 37, 131 Cloud enabled big data, 4 Codd s 12 rules, 1 Column-oriented databases, 18, 52 Compression pattern, 83 84

Chukwa, 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 information

Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012. Viswa Sharma Solutions Architect Tata Consultancy Services

Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012. Viswa Sharma Solutions Architect Tata Consultancy Services Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012 Viswa Sharma Solutions Architect Tata Consultancy Services 1 Agenda What is Hadoop Why Hadoop? The Net Generation is here Sizing the

More information

Raul F. Chong Senior program manager Big data, DB2, and Cloud IM Cloud Computing Center of Competence - IBM Toronto Lab, Canada

Raul F. Chong Senior program manager Big data, DB2, and Cloud IM Cloud Computing Center of Competence - IBM Toronto Lab, Canada What is big data? Raul F. Chong Senior program manager Big data, DB2, and Cloud IM Cloud Computing Center of Competence - IBM Toronto Lab, Canada 1 2011 IBM Corporation Agenda The world is changing What

More information

BIG DATA CAN DRIVE THE BUSINESS AND IT TO EVOLVE AND ADAPT RALPH KIMBALL BUSSUM 2014

BIG DATA CAN DRIVE THE BUSINESS AND IT TO EVOLVE AND ADAPT RALPH KIMBALL BUSSUM 2014 BIG DATA CAN DRIVE THE BUSINESS AND IT TO EVOLVE AND ADAPT RALPH KIMBALL BUSSUM 2014 Ralph Kimball Associates 2014 The Data Warehouse Mission Identify all possible enterprise data assets Select those assets

More information

Buyer s Guide to Big Data Integration

Buyer s Guide to Big Data Integration SEPTEMBER 2013 Buyer s Guide to Big Data Integration Sponsored by Contents Introduction 1 Challenges of Big Data Integration: New and Old 1 What You Need for Big Data Integration 3 Preferred Technology

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

An Oracle White Paper November 2010. Leveraging Massively Parallel Processing in an Oracle Environment for Big Data Analytics

An Oracle White Paper November 2010. Leveraging Massively Parallel Processing in an Oracle Environment for Big Data Analytics An Oracle White Paper November 2010 Leveraging Massively Parallel Processing in an Oracle Environment for Big Data Analytics 1 Introduction New applications such as web searches, recommendation engines,

More information

Improving Data Processing Speed in Big Data Analytics Using. HDFS Method

Improving Data Processing Speed in Big Data Analytics Using. HDFS Method Improving Data Processing Speed in Big Data Analytics Using HDFS Method M.R.Sundarakumar Assistant Professor, Department Of Computer Science and Engineering, R.V College of Engineering, Bangalore, India

More information

Why Big Data in the Cloud?

Why Big Data in the Cloud? Have 40 Why Big Data in the Cloud? Colin White, BI Research January 2014 Sponsored by Treasure Data TABLE OF CONTENTS Introduction The Importance of Big Data The Role of Cloud Computing Using Big Data

More information

A Tour of the Zoo the Hadoop Ecosystem Prafulla Wani

A 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 information

Big Data Open Source Stack vs. Traditional Stack for BI and Analytics

Big Data Open Source Stack vs. Traditional Stack for BI and Analytics Big Data Open Source Stack vs. Traditional Stack for BI and Analytics Part I By Sam Poozhikala, Vice President Customer Solutions at StratApps Inc. 4/4/2014 You may contact Sam Poozhikala at spoozhikala@stratapps.com.

More information

Evaluating NoSQL for Enterprise Applications. Dirk Bartels VP Strategy & Marketing

Evaluating NoSQL for Enterprise Applications. Dirk Bartels VP Strategy & Marketing Evaluating NoSQL for Enterprise Applications Dirk Bartels VP Strategy & Marketing Agenda The Real Time Enterprise The Data Gold Rush Managing The Data Tsunami Analytics and Data Case Studies Where to go

More information

Big Systems, Big Data

Big Systems, Big Data Big Systems, Big Data When considering Big Distributed Systems, it can be noted that a major concern is dealing with data, and in particular, Big Data Have general data issues (such as latency, availability,

More information

Apache Hadoop. Alexandru Costan

Apache Hadoop. Alexandru Costan 1 Apache Hadoop Alexandru Costan Big Data Landscape No one-size-fits-all solution: SQL, NoSQL, MapReduce, No standard, except Hadoop 2 Outline What is Hadoop? Who uses it? Architecture HDFS MapReduce Open

More information

Big Data and Industrial Internet

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 keijo.heljanko@aalto.fi 16.6-2015

More information

Splunk Company Overview

Splunk Company Overview Copyright 2015 Splunk Inc. Splunk Company Overview Name Title Safe Harbor Statement During the course of this presentation, we may make forward looking statements regarding future events or the expected

More information

SAP and Hortonworks Reference Architecture

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

More information

How to make BIG DATA work for you. Faster results with Microsoft SQL Server PDW

How to make BIG DATA work for you. Faster results with Microsoft SQL Server PDW How to make BIG DATA work for you. Faster results with Microsoft SQL Server PDW Roger Breu PDW Solution Specialist Microsoft Western Europe Marcus Gullberg PDW Partner Account Manager Microsoft Sweden

More information

Hadoop and Data Warehouse Friends, Enemies or Profiteers? What about Real Time?

Hadoop 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 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

QLIKVIEW DEPLOYMENT FOR BIG DATA ANALYTICS AT KING.COM

QLIKVIEW DEPLOYMENT FOR BIG DATA ANALYTICS AT KING.COM QLIKVIEW DEPLOYMENT FOR BIG DATA ANALYTICS AT KING.COM QlikView Technical Case Study Series Big Data June 2012 qlikview.com Introduction This QlikView technical case study focuses on the QlikView deployment

More information