Grab some coffee and enjoy the pre-show banter before the top of the hour!

Size: px
Start display at page:

Download "Grab some coffee and enjoy the pre-show banter before the top of the hour!"

Transcription

1 Grab some coffee and enjoy the pre-show banter before the top of the hour!

2 Think Big: How to Design a Big Data Information Architecture Exploratory Webcast January 22, 2014

3 Guests Robin Bloor Chief Analyst, The Bloor Eric Kavanagh CEO, The Bloor

4 Big Data Information Architecture Exploratory Webcast January 22, 2014 Roundtable Webcast April 9, 2014 Findings Webcast June 25, 2014 #BigDataArch

5

6 Big Data Information Architecture

7 In Three Segments PART ONE The Big Data Curve? PART TWO Technology Disruption PART THREE Data Flow

8 Part 1: The Big Data Curve

9 The Visible Big Data Trend u Corporate data volumes grow at about 55% per annum - exponentially u Data has been growing at this rate for, maybe, 40 years u There is nothing new about big data. It clings to an established exponential trend

10 The Invisible Trend: Moore s Law Cubed u The biggest databases are new databases u They grow at the cube of Moore s Law u Moore s Law = 10x every 6 years u VLDB: 1000x every 6 years 1991/2 megabytes 1997/8 gigabytes 2003/4 terabytes 2009/10 petabytes 2015/16 exabytes

11 Technology Evolution (Bloor Curve) Application Migration The Area Of As-Yet-Unrealized Applications Source: The Bloor Group

12 The Traditional Force of Disruption u Software architectures change: centralized, C/S, 3 tier/web, SOA, etc. u Applications migrate according to latencies u Dominant applications and software brands can die via The innovator s dilemma u Wholly new applications appear because of lower latencies, e.g., VMs, CEP Application Migration The Area Of As-Yet-Unrealized Applications Source: The Bloor Group

13 This Curve is Compromised Two DISRUPTIVE forces have changed the curve: Application Migration The Area Of As-Yet-Unrealized Applications PARALLELISM and Source: The Bloor Group The CLOUD

14 Big Data??? It s not really about It s about

15 Part 2: Technology Disruption

16 It s Over for Spinning Disk u SSD is now on the Moore s Law curve u Disk is not and never was (in respect of seek time) u All traditional databases were engineered for spinning disk and not for scale-out u This explains the new DBMS products

17 In-Memory Disruption u Memory may gradually become the primary store for data (this impacts data flows) u Almost all applications are poorly built for this u Memory is an accelerator as is CPU cache. This is becoming a factor

18 The Memory Cascade u On chip speed v RAM L1(32K) = 100x L2(246K) = 30x L3(8-20Mb) = 8.6x u RAM v SSD RAM = 300x u SSD v Disk SSD = 10x Note: Vector instructions and data compression

19 Tech Revolutions TECH REVOLUTION ARCHITECTURE u Computer u On-line u PC u Internet u Mobile u Internet of things u Batch u Centralized u Client/server u Multi-tier u Service Orientation u Event Driven/Big Data

20 Event Driven/Big Data Architecture?

21 The Open Source Picture u The R Language Over 1 million users u Hadoop and its Ecosystem Reduced latency for analytics u Machine Learning Algorithms Raw power None of these are engineered for performance

22 Part 3: Data Flow

23 What Is A Data Scientist? u Project manager u Qualified statistician u Domain Business expert u Experienced data architect u Software engineer (IT S A TEAM)

24 A Process, Not an Activity u Data Analytics is a multidisciplinary end-to-end process u Until recently it was a walled-garden. But recently the walls were torn down by Data availability Scalable technology Open source tools

25 The CRITICAL Workload Issue u Previously, we viewed database workloads as an i/o optimization problem u With analytics the workload is a very variable mix of i/o and calculation u No databases were built precisely for this not even Big Data databases

26 Take Note You can know more about a BUSINESS from its data than by any other means

27 The Biological System u Our human control system works at different speeds: Almost instant reflex Swift response Considered response u Organizations will gradually implement similar control systems u This suggests a data-flowbased architecture

28 The Corporate Biological System u Right now this division into two different data flows is already occurring u Currently we can distinguish between: Real-time/Business time applications Analytical applications u We should build specific architectures for this

29 Some Architectural Principles u The new atom of data is the event u SUSO, scale up before scale out u Take the processing to the data, if you can u Hadoop is a component not a solution

30 In Conclusion PART ONE The Big Data Curve? PART TWO Technology Disruption PART THREE Data Flow

31 Questions? #BigDataArch or USE THE Q&A

32 THANK YOU! REGISTER FOR BDIA WEBCASTS AT:

Big Data and Big Data Modeling

Big Data and Big Data Modeling Big Data and Big Data Modeling The Age of Disruption Robin Bloor The Bloor Group March 19, 2015 TP02 Presenter Bio Robin Bloor, Ph.D. Robin Bloor is Chief Analyst at The Bloor Group. He has been an industry

More information

The Bloor Group. The Pillars of Data Science

The Bloor Group. The Pillars of Data Science The Pillars of Data Science The Three Pillars DOMAIN KNOWLEDGE The DS/DA needs to know the business STATISTICAL SKILLS Knowing how to use software to analyze data TECHNOLOGY KNOWLEDGE Knowing how to leverage

More information

Hur hanterar vi utmaningar inom området - Big Data. Jan Östling Enterprise Technologies Intel Corporation, NER

Hur hanterar vi utmaningar inom området - Big Data. Jan Östling Enterprise Technologies Intel Corporation, NER Hur hanterar vi utmaningar inom området - Big Data Jan Östling Enterprise Technologies Intel Corporation, NER Legal Disclaimers All products, computer systems, dates, and figures specified are preliminary

More information

Grab some coffee and enjoy the pre-show banter before the top of the hour!

Grab some coffee and enjoy the pre-show banter before the top of the hour! Grab some coffee and enjoy the pre-show banter before the top of the hour! The Analytic Platform: Empowering the Business Now The Briefing Room Welcome Host: Eric Kavanagh eric.kavanagh@bloorgroup.com

More information

Software AG Fast Big Data Solutions. Come la gestione realtime dei dati abilita nuovi scenari di business per le Banche

Software AG Fast Big Data Solutions. Come la gestione realtime dei dati abilita nuovi scenari di business per le Banche Software AG Fast Big Data Solutions Come la gestione realtime dei dati abilita nuovi scenari di business per le Banche Software AG Fast Big Data Solutions Get there faster Vittorio Carosone Regional Sales

More information

Hadoop: Embracing future hardware

Hadoop: Embracing future hardware Hadoop: Embracing future hardware Suresh Srinivas @suresh_m_s Page 1 About Me Architect & Founder at Hortonworks Long time Apache Hadoop committer and PMC member Designed and developed many key Hadoop

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

Impact of Big Data growth On Transparent Computing

Impact of Big Data growth On Transparent Computing Impact of Big Data growth On Transparent Computing Michael A. Greene Intel Vice President, Software and Services Group, General Manager, System Technologies and Optimization 1 Transparent Computing (TC)

More information

The Internet of Things and Big Data: Intro

The Internet of Things and Big Data: Intro The Internet of Things and Big Data: Intro John Berns, Solutions Architect, APAC - MapR Technologies April 22 nd, 2014 1 What This Is; What This Is Not It s not specific to IoT It s not about any specific

More information

Using an In-Memory Data Grid for Near Real-Time Data Analysis

Using an In-Memory Data Grid for Near Real-Time Data Analysis SCALEOUT SOFTWARE Using an In-Memory Data Grid for Near Real-Time Data Analysis by Dr. William Bain, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 IN today s competitive world, businesses

More information

Preview of Oracle Database 12c In-Memory Option. Copyright 2013, Oracle and/or its affiliates. All rights reserved.

Preview of Oracle Database 12c In-Memory Option. Copyright 2013, Oracle and/or its affiliates. All rights reserved. Preview of Oracle Database 12c In-Memory Option 1 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any

More information

Laurence Liew General Manager, APAC. Economics Is Driving Big Data Analytics to the Cloud

Laurence Liew General Manager, APAC. Economics Is Driving Big Data Analytics to the Cloud Laurence Liew General Manager, APAC Economics Is Driving Big Data Analytics to the Cloud Big Data 101 The Analytics Stack Economics of Big Data Convergence of the 3 forces Big Data Analytics in the Cloud

More information

SCALABLE FILE SHARING AND DATA MANAGEMENT FOR INTERNET OF THINGS

SCALABLE FILE SHARING AND DATA MANAGEMENT FOR INTERNET OF THINGS Sean Lee Solution Architect, SDI, IBM Systems SCALABLE FILE SHARING AND DATA MANAGEMENT FOR INTERNET OF THINGS Agenda Converging Technology Forces New Generation Applications Data Management Challenges

More information

Real-Time Big Data Analytics SAP HANA with the Intel Distribution for Apache Hadoop software

Real-Time Big Data Analytics SAP HANA with the Intel Distribution for Apache Hadoop software Real-Time Big Data Analytics with the Intel Distribution for Apache Hadoop software Executive Summary is already helping businesses extract value out of Big Data by enabling real-time analysis of diverse

More information

MaxDeploy Ready. Hyper- Converged Virtualization Solution. With SanDisk Fusion iomemory products

MaxDeploy Ready. Hyper- Converged Virtualization Solution. With SanDisk Fusion iomemory products MaxDeploy Ready Hyper- Converged Virtualization Solution With SanDisk Fusion iomemory products MaxDeploy Ready products are configured and tested for support with Maxta software- defined storage and with

More information

Data management challenges in todays Healthcare and Life Sciences ecosystems

Data management challenges in todays Healthcare and Life Sciences ecosystems Data management challenges in todays Healthcare and Life Sciences ecosystems Jose L. Alvarez Principal Engineer, WW Director Life Sciences jose.alvarez@seagate.com Evolution of Data Sets in Healthcare

More information

THE DEVELOPER GUIDE TO BUILDING STREAMING DATA APPLICATIONS

THE DEVELOPER GUIDE TO BUILDING STREAMING DATA APPLICATIONS THE DEVELOPER GUIDE TO BUILDING STREAMING DATA APPLICATIONS WHITE PAPER Successfully writing Fast Data applications to manage data generated from mobile, smart devices and social interactions, and the

More information

Open Cloud Computing A Case for HPC CRO NGI Day Zagreb, Oct, 26th

Open Cloud Computing A Case for HPC CRO NGI Day Zagreb, Oct, 26th Open Cloud Computing A Case for HPC CRO NGI Day Zagreb, Oct, 26th Philippe Trautmann HPC Business Development Manager Global Education @ Research Sun Microsystems, Inc. 1 The Cloud HPC and Cloud: any needs?

More information

Microsoft Analytics Platform System. Solution Brief

Microsoft Analytics Platform System. Solution Brief Microsoft Analytics Platform System Solution Brief Contents 4 Introduction 4 Microsoft Analytics Platform System 5 Enterprise-ready Big Data 7 Next-generation performance at scale 10 Engineered for optimal

More information

Big Data Analytics. An Introduction. Oliver Fuchsberger University of Paderborn 2014

Big Data Analytics. An Introduction. Oliver Fuchsberger University of Paderborn 2014 Big Data Analytics An Introduction Oliver Fuchsberger University of Paderborn 2014 Table of Contents I. Introduction & Motivation What is Big Data Analytics? Why is it so important? II. Techniques & Solutions

More information

Using In-Memory Computing to Simplify Big Data Analytics

Using In-Memory Computing to Simplify Big Data Analytics SCALEOUT SOFTWARE Using In-Memory Computing to Simplify Big Data Analytics by Dr. William Bain, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 T he big data revolution is upon us, fed

More information

Big Data for Big Value @ Intel

Big Data for Big Value @ Intel Big Data for Big Value @ Intel Moty Fania, PE Big data Analytics Assaf Araki, Sr. Arch. Big data Analytics Advanced Analytics team @ Intel IT Corporate ownership of advanced analytics Team charter Solve

More information

DATAOPT SOLUTIONS. What Is Big Data?

DATAOPT SOLUTIONS. What Is Big Data? DATAOPT SOLUTIONS What Is Big Data? WHAT IS BIG DATA? It s more than just large amounts of data, though that s definitely one component. The more interesting dimension is about the types of data. So Big

More information

DataStax Enterprise, powered by Apache Cassandra (TM)

DataStax Enterprise, powered by Apache Cassandra (TM) PerfAccel (TM) Performance Benchmark on Amazon: DataStax Enterprise, powered by Apache Cassandra (TM) Disclaimer: All of the documentation provided in this document, is copyright Datagres Technologies

More information

The Shortcut Guide to Balancing Storage Costs and Performance with Hybrid Storage

The Shortcut Guide to Balancing Storage Costs and Performance with Hybrid Storage The Shortcut Guide to Balancing Storage Costs and Performance with Hybrid Storage sponsored by Dan Sullivan Chapter 1: Advantages of Hybrid Storage... 1 Overview of Flash Deployment in Hybrid Storage Systems...

More information

Cloud Bursting. HPC for Wall Street Conference April 4, 2016 Scott Jeschonek, Director of Cloud Products at Avere Systems. scottj@averesystems.

Cloud Bursting. HPC for Wall Street Conference April 4, 2016 Scott Jeschonek, Director of Cloud Products at Avere Systems. scottj@averesystems. Cloud Bursting HPC for Wall Street Conference April 4, 2016 Scott Jeschonek, Director of Cloud Products at Avere Systems scottj@averesystems.com Yesterday, and Today: On Premises Datacenter, Redundant

More information

LARGE, DISTRIBUTED COMPUTING INFRASTRUCTURES OPPORTUNITIES & CHALLENGES. Dominique A. Heger Ph.D. DHTechnologies, Data Nubes Austin, TX, USA

LARGE, DISTRIBUTED COMPUTING INFRASTRUCTURES OPPORTUNITIES & CHALLENGES. Dominique A. Heger Ph.D. DHTechnologies, Data Nubes Austin, TX, USA LARGE, DISTRIBUTED COMPUTING INFRASTRUCTURES OPPORTUNITIES & CHALLENGES Dominique A. Heger Ph.D. DHTechnologies, Data Nubes Austin, TX, USA Performance & Capacity Studies Availability & Reliability Studies

More information

Data Storage Technology Update

Data Storage Technology Update Data Storage Technology Update Hal Woods Vice President and Chief Architect HGST Elastic Storage Platforms April 15, 2015 I have some bad news for you and good news for me You are a data hoarder, an addict

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

System Architecture. In-Memory Database

System Architecture. In-Memory Database System Architecture for Are SSDs Ready for Enterprise Storage Systems In-Memory Database Anil Vasudeva, President & Chief Analyst, Research 2007-13 Research All Rights Reserved Copying Prohibited Contact

More information

HIVE + AMAZON EMR + S3 = ELASTIC BIG DATA SQL ANALYTICS PROCESSING IN THE CLOUD A REAL WORLD CASE STUDY

HIVE + AMAZON EMR + S3 = ELASTIC BIG DATA SQL ANALYTICS PROCESSING IN THE CLOUD A REAL WORLD CASE STUDY HIVE + AMAZON EMR + S3 = ELASTIC BIG DATA SQL ANALYTICS PROCESSING IN THE CLOUD A REAL WORLD CASE STUDY Jaipaul Agonus FINRA Strata Hadoop World New York, Sep 2015 FINRA - WHAT DO WE DO? Collect and Create

More information

Information Architecture

Information Architecture The Bloor Group Actian and The Big Data Information Architecture WHITE PAPER The Actian Big Data Information Architecture Actian and The Big Data Information Architecture Originally founded in 2005 to

More information

Understanding the Value of In-Memory in the IT Landscape

Understanding the Value of In-Memory in the IT Landscape February 2012 Understing the Value of In-Memory in Sponsored by QlikView Contents The Many Faces of In-Memory 1 The Meaning of In-Memory 2 The Data Analysis Value Chain Your Goals 3 Mapping Vendors to

More information

Microsoft SQL Server 2014 Fast Track

Microsoft SQL Server 2014 Fast Track Microsoft SQL Server 2014 Fast Track 34-TB Certified Data Warehouse 103-TB Maximum User Data Tegile Systems Solution Review 2U Design: Featuring Tegile T3800 All-Flash Storage Array http:// www.tegile.com/solutiuons/sql

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

Big Data. How New Data Analytics Systems will Impact Storage. John Webster. Senior Partner Evaluator Group

Big Data. How New Data Analytics Systems will Impact Storage. John Webster. Senior Partner Evaluator Group Big Data How New Data Analytics Systems will Impact Storage John Webster Senior Partner Evaluator Group There is no question about whether or not traditional data warehousing will be transformed into "Big

More information

Colgate-Palmolive selects SAP HANA to improve the speed of business analytics with IBM and SAP

Colgate-Palmolive selects SAP HANA to improve the speed of business analytics with IBM and SAP selects SAP HANA to improve the speed of business analytics with IBM and SAP Founded in 1806, is a global consumer products company which sells nearly $17 billion annually in personal care, home care,

More information

Simplifying Big Data Deployments in Cloud Environments with Mellanox Interconnects and QualiSystems Orchestration Solutions

Simplifying Big Data Deployments in Cloud Environments with Mellanox Interconnects and QualiSystems Orchestration Solutions Simplifying Big Data Deployments in Cloud Environments with Mellanox Interconnects and QualiSystems Orchestration Solutions 64% of organizations were investing or planning to invest on Big Data technology

More information

Infrastructure Matters: POWER8 vs. Xeon x86

Infrastructure Matters: POWER8 vs. Xeon x86 Advisory Infrastructure Matters: POWER8 vs. Xeon x86 Executive Summary This report compares IBM s new POWER8-based scale-out Power System to Intel E5 v2 x86- based scale-out systems. A follow-on report

More information

Solving I/O Bottlenecks to Enable Superior Cloud Efficiency

Solving I/O Bottlenecks to Enable Superior Cloud Efficiency WHITE PAPER Solving I/O Bottlenecks to Enable Superior Cloud Efficiency Overview...1 Mellanox I/O Virtualization Features and Benefits...2 Summary...6 Overview We already have 8 or even 16 cores on one

More information

Data Centric Systems (DCS)

Data Centric Systems (DCS) Data Centric Systems (DCS) Architecture and Solutions for High Performance Computing, Big Data and High Performance Analytics High Performance Computing with Data Centric Systems 1 Data Centric Systems

More information

Architectures for Big Data Analytics A database perspective

Architectures for Big Data Analytics A database perspective Architectures for Big Data Analytics A database perspective Fernando Velez Director of Product Management Enterprise Information Management, SAP June 2013 Outline Big Data Analytics Requirements Spectrum

More information

High Performance Computing OpenStack Options. September 22, 2015

High Performance Computing OpenStack Options. September 22, 2015 High Performance Computing OpenStack PRESENTATION TITLE GOES HERE Options September 22, 2015 Today s Presenters Glyn Bowden, SNIA Cloud Storage Initiative Board HP Helion Professional Services Alex McDonald,

More information

Software defined Storage The next generation of Storage virtualization

Software defined Storage The next generation of Storage virtualization Software defined Storage The next generation of Storage virtualization November 2013 Robin Keupers SNIA Europe Dell Software defined not that well defined. Chaos! To help clarify the market and reduce

More information

StorReduce Technical White Paper Cloud-based Data Deduplication

StorReduce Technical White Paper Cloud-based Data Deduplication StorReduce Technical White Paper Cloud-based Data Deduplication See also at storreduce.com/docs StorReduce Quick Start Guide StorReduce FAQ StorReduce Solution Brief, and StorReduce Blog at storreduce.com/blog

More information

Whitepaper. Innovations in Business Intelligence Database Technology. www.sisense.com

Whitepaper. Innovations in Business Intelligence Database Technology. www.sisense.com Whitepaper Innovations in Business Intelligence Database Technology The State of Database Technology in 2015 Database technology has seen rapid developments in the past two decades. Online Analytical Processing

More information

Big Data Storage IGATE

Big Data Storage IGATE Big Data Storage Apurva Vaidya Anshul Kosarwal IGATE Agenda Abstract Big Data and its characteristics Key requirements of Big Data Storage Triage and Analytics Framework Big Data Storage Choices Hyper

More information

SAP HANA From Relational OLAP Database to Big Data Infrastructure

SAP HANA From Relational OLAP Database to Big Data Infrastructure SAP HANA From Relational OLAP Database to Big Data Infrastructure Anil K Goel VP & Chief Architect, SAP HANA Data Platform WBDB 2015, June 16, 2015 Toronto SAP Big Data Story Data Lifecycle Management

More information

bigdata Managing Scale in Ontological Systems

bigdata Managing Scale in Ontological Systems Managing Scale in Ontological Systems 1 This presentation offers a brief look scale in ontological (semantic) systems, tradeoffs in expressivity and data scale, and both information and systems architectural

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

Big Data Challenges in Bioinformatics

Big Data Challenges in Bioinformatics Big Data Challenges in Bioinformatics BARCELONA SUPERCOMPUTING CENTER COMPUTER SCIENCE DEPARTMENT Autonomic Systems and ebusiness Pla?orms Jordi Torres Jordi.Torres@bsc.es Talk outline! We talk about Petabyte?

More information

Emerging Innovations In Analytical Databases TDWI India Chapter Meeting, July 23, 2011, Hyderabad

Emerging Innovations In Analytical Databases TDWI India Chapter Meeting, July 23, 2011, Hyderabad Emerging Innovations In Analytical Databases TDWI India Chapter Meeting, July 23, 2011, Hyderabad Vivek Bhatnagar Agenda Today s Biggest Challenge in BI - SPEED Common Approaches Used Till Date for Performance

More information

Hyper ISE. Performance Driven Storage. XIO Storage. January 2013

Hyper ISE. Performance Driven Storage. XIO Storage. January 2013 Hyper ISE Performance Driven Storage January 2013 XIO Storage October 2011 Table of Contents Hyper ISE: Performance-Driven Storage... 3 The Hyper ISE Advantage... 4 CADP: Combining SSD and HDD Technologies...

More information

Understanding Data Locality in VMware Virtual SAN

Understanding Data Locality in VMware Virtual SAN Understanding Data Locality in VMware Virtual SAN July 2014 Edition T E C H N I C A L M A R K E T I N G D O C U M E N T A T I O N Table of Contents Introduction... 2 Virtual SAN Design Goals... 3 Data

More information

Maximizing Hadoop Performance and Storage Capacity with AltraHD TM

Maximizing Hadoop Performance and Storage Capacity with AltraHD TM Maximizing Hadoop Performance and Storage Capacity with AltraHD TM Executive Summary The explosion of internet data, driven in large part by the growth of more and more powerful mobile devices, has created

More information

Data Center Solutions

Data Center Solutions Data Center Solutions Systems, software and hardware solutions you can trust With over 25 years of storage innovation, SanDisk is a global flash technology leader. At SanDisk, we re expanding the possibilities

More information

5 Signs You Might Be Outgrowing Your MySQL Data Warehouse*

5 Signs You Might Be Outgrowing Your MySQL Data Warehouse* Whitepaper 5 Signs You Might Be Outgrowing Your MySQL Data Warehouse* *And Why Vertica May Be the Right Fit Like Outgrowing Old Clothes... Most of us remember a favorite pair of pants or shirt we had as

More information

H T Tech nologies 2013

H T Tech nologies 2013 H T Technologies 2013 HOST: Eric Kavanagh THIS YEAR is Embedded Analytics Predictive analytics solutions exploit patterns found in data to identify risk and opportunities Embedded solutions can provide

More information

Application Performance Management: New Challenges Demand a New Approach

Application Performance Management: New Challenges Demand a New Approach Application Performance Management: New Challenges Demand a New Approach Introduction Historically IT management has focused on individual technology domains; e.g., LAN, WAN, servers, firewalls, operating

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

Oracle Database In-Memory The Next Big Thing

Oracle Database In-Memory The Next Big Thing Oracle Database In-Memory The Next Big Thing Maria Colgan Master Product Manager #DBIM12c Why is Oracle do this Oracle Database In-Memory Goals Real Time Analytics Accelerate Mixed Workload OLTP No Changes

More information

Overview: X5 Generation Database Machines

Overview: X5 Generation Database Machines Overview: X5 Generation Database Machines Spend Less by Doing More Spend Less by Paying Less Rob Kolb Exadata X5-2 Exadata X4-8 SuperCluster T5-8 SuperCluster M6-32 Big Memory Machine Oracle Exadata Database

More information

Big Data: A Storage Systems Perspective Muthukumar Murugan Ph.D. HP Storage Division

Big Data: A Storage Systems Perspective Muthukumar Murugan Ph.D. HP Storage Division Big Data: A Storage Systems Perspective Muthukumar Murugan Ph.D. HP Storage Division In this talk Big data storage: Current trends Issues with current storage options Evolution of storage to support big

More information

The Flash Transformed Data Center & the Unlimited Future of Flash John Scaramuzzo Sr. Vice President & General Manager, Enterprise Storage Solutions

The Flash Transformed Data Center & the Unlimited Future of Flash John Scaramuzzo Sr. Vice President & General Manager, Enterprise Storage Solutions The Flash Transformed Data Center & the Unlimited Future of Flash John Scaramuzzo Sr. Vice President & General Manager, Enterprise Storage Solutions Flash Memory Summit 5-7 August 2014 1 Forward-Looking

More information

BIG DATA-AS-A-SERVICE

BIG DATA-AS-A-SERVICE White Paper BIG DATA-AS-A-SERVICE What Big Data is about What service providers can do with Big Data What EMC can do to help EMC Solutions Group Abstract This white paper looks at what service providers

More information

Milestone Solution Partner IT Infrastructure MTP Certification Report Scality RING Software-Defined Storage 11-16-2015

Milestone Solution Partner IT Infrastructure MTP Certification Report Scality RING Software-Defined Storage 11-16-2015 Milestone Solution Partner IT Infrastructure MTP Certification Report Scality RING Software-Defined Storage 11-16-2015 Table of Contents Introduction... 4 Certified Products... 4 Key Findings... 5 Solution

More information

Big Data and Analytics 21 A Technical Perspective Abhishek Bhattacharya, Aditya Gandhi and Pankaj Jain November 2012

Big Data and Analytics 21 A Technical Perspective Abhishek Bhattacharya, Aditya Gandhi and Pankaj Jain November 2012 Big Data and Analytics 21 A Technical Perspective Abhishek Bhattacharya, Aditya Gandhi and Pankaj Jain November 2012 Between the dawn of civilization and 2003, the human race created 5 exabytes of data

More information

EMC - XtremIO. All-Flash Array evolution - Much more than high speed. Systems Engineer Team Lead EMC SouthCone. Carlos Marconi.

EMC - XtremIO. All-Flash Array evolution - Much more than high speed. Systems Engineer Team Lead EMC SouthCone. Carlos Marconi. EMC - XtremIO All-Flash Array evolution - Much more than high speed Carlos Marconi Systems Engineer Team Lead EMC SouthCone August 2015 Evolution of High End Systems and Storage Centralized Single servers

More information

FLASH ARRAY MARKET TRENDS

FLASH ARRAY MARKET TRENDS 1 FLASH ARRAY MARKET TRENDS EHUD ROKACH, CO-FOUNDER, XTREMIO DAVID FLOYER, CTO & CO-FOUNDER, WIKIBON 2 >$1B ANNUALIZED Q4 RUN RATE Achieved in One Year Copyright 2015 2014 EMC Corporation. All rights reserved.

More information

BIG DATA THE NEW OPPORTUNITY

BIG DATA THE NEW OPPORTUNITY Feature Biswajit Mohapatra is an IBM Certified Consultant and a global integrated delivery leader for IBM s AMS business application modernization (BAM) practice. He is IBM India s competency head for

More information

Big + Fast + Safe + Simple = Lowest Technical Risk

Big + Fast + Safe + Simple = Lowest Technical Risk Big + Fast + Safe + Simple = Lowest Technical Risk The Synergy of Greenplum and Isilon Architecture in HP Environments Steffen Thuemmel (Isilon) Andreas Scherbaum (Greenplum) 1 Our problem 2 What is Big

More information

Doing Multidisciplinary Research in Data Science

Doing Multidisciplinary Research in Data Science Doing Multidisciplinary Research in Data Science Assoc.Prof. Abzetdin ADAMOV CeDAWI - Center for Data Analytics and Web Insights Qafqaz University aadamov@qu.edu.az http://ce.qu.edu.az/~aadamov 16 May

More information

Cloud Sure - Virtual Machines

Cloud Sure - Virtual Machines Cloud Sure - Virtual Machines Maximize your IT network The use of Virtualization is an area where Cloud Computing really does come into its own and arguably one of the most exciting directions in the IT

More information

www.intelligentbusiness.biz mferguson@intelligentbusiness.biz Twitter: @mikeferguson1

www.intelligentbusiness.biz mferguson@intelligentbusiness.biz Twitter: @mikeferguson1 Welcome to Today s Web Seminar! March 15, 2011 12:00PM ET Sponsored by: Hosted by: Eric Kavanagh is the host of DM Radio and Information Management's Webcasts. He is a veteran journalist and consultant

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

Parallel Data Warehouse

Parallel Data Warehouse MICROSOFT S ANALYTICS SOLUTIONS WITH PARALLEL DATA WAREHOUSE Parallel Data Warehouse Stefan Cronjaeger Microsoft May 2013 AGENDA PDW overview Columnstore and Big Data Business Intellignece Project Ability

More information

Scaling Database Performance in Azure

Scaling Database Performance in Azure Scaling Database Performance in Azure Results of Microsoft-funded Testing Q1 2015 2015 2014 ScaleArc. All Rights Reserved. 1 Test Goals and Background Info Test Goals and Setup Test goals Microsoft commissioned

More information

Easier - Faster - Better

Easier - Faster - Better Highest reliability, availability and serviceability ClusterStor gets you productive fast with robust professional service offerings available as part of solution delivery, including quality controlled

More information

Software-defined Storage Architecture for Analytics Computing

Software-defined Storage Architecture for Analytics Computing Software-defined Storage Architecture for Analytics Computing Arati Joshi Performance Engineering Colin Eldridge File System Engineering Carlos Carrero Product Management June 2015 Reference Architecture

More information

Scaling Analysis Services in the Cloud

Scaling Analysis Services in the Cloud Our Sponsors Scaling Analysis Services in the Cloud by Gerhard Brückl gerhard@gbrueckl.at blog.gbrueckl.at About me Gerhard Brückl Working with Microsoft BI since 2006 Windows Azure / Cloud since 2013

More information

The Flash-Transformed Financial Data Center. Jean S. Bozman Enterprise Solutions Manager, Enterprise Storage Solutions Corporation August 6, 2014

The Flash-Transformed Financial Data Center. Jean S. Bozman Enterprise Solutions Manager, Enterprise Storage Solutions Corporation August 6, 2014 The Flash-Transformed Financial Data Center Jean S. Bozman Enterprise Solutions Manager, Enterprise Storage Solutions Corporation August 6, 2014 Forward-Looking Statements During our meeting today we will

More information

# Not a part of 1Z0-061 or 1Z0-144 Certification test, but very important technology in BIG DATA Analysis

# Not a part of 1Z0-061 or 1Z0-144 Certification test, but very important technology in BIG DATA Analysis Section 9 : Case Study # Objectives of this Session The Motivation For Hadoop What problems exist with traditional large-scale computing systems What requirements an alternative approach should have How

More information

Three Virtualization Management Myths Busted. Rich Corley, NetApp

Three Virtualization Management Myths Busted. Rich Corley, NetApp Three Virtualization Management Myths Busted Rich Corley, NetApp SNIA Legal Notice The material contained in this tutorial is copyrighted by the SNIA unless otherwise noted. Member companies and individual

More information

Agilità per perseguire nuovi modelli di business e creare nuovo valore nel mercato delle utilities. Cristina Viscontino SoftwareAG Solution Architect

Agilità per perseguire nuovi modelli di business e creare nuovo valore nel mercato delle utilities. Cristina Viscontino SoftwareAG Solution Architect Agilità per perseguire nuovi modelli di business e creare nuovo valore nel mercato delle utilities Cristina Viscontino SoftwareAG Solution Architect Software AG Agilità per perseguire nuovi modelli di

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

Practical Approaches to Big Data & Analytics: From Infrastructure to

Practical Approaches to Big Data & Analytics: From Infrastructure to 2014 Cisco and/or its affiliates. All rights reserved. Practical Approaches to Big Data & Analytics: From Infrastructure to Applications Kapil Bakshi Distinguished Architect, Cisco System Digital Government

More information

White Paper: Enhancing Functionality and Security of Enterprise Data Holdings

White Paper: Enhancing Functionality and Security of Enterprise Data Holdings White Paper: Enhancing Functionality and Security of Enterprise Data Holdings Examining New Mission- Enabling Design Patterns Made Possible by the Cloudera- Intel Partnership Inside: Improving Return on

More information

Hadoop Big Data for Processing Data and Performing Workload

Hadoop Big Data for Processing Data and Performing Workload Hadoop Big Data for Processing Data and Performing Workload Girish T B 1, Shadik Mohammed Ghouse 2, Dr. B. R. Prasad Babu 3 1 M Tech Student, 2 Assosiate professor, 3 Professor & Head (PG), of Computer

More information

The HP IT Transformation Story

The HP IT Transformation Story The HP IT Transformation Story Continued consolidation and infrastructure transformation impacts to the physical data center Dave Rotheroe, October, 2015 Why do data centers exist? Business Problem Application

More information

Flash Memory Arrays Enabling the Virtualized Data Center. July 2010

Flash Memory Arrays Enabling the Virtualized Data Center. July 2010 Flash Memory Arrays Enabling the Virtualized Data Center July 2010 2 Flash Memory Arrays Enabling the Virtualized Data Center This White Paper describes a new product category, the flash Memory Array,

More information

NextGen Infrastructure for Big DATA Analytics.

NextGen Infrastructure for Big DATA Analytics. NextGen Infrastructure for Big DATA Analytics. So What is Big Data? Data that exceeds the processing capacity of conven4onal database systems. The data is too big, moves too fast, or doesn t fit the structures

More information

Intel and Qihoo 360 Internet Portal Datacenter - Big Data Storage Optimization Case Study

Intel and Qihoo 360 Internet Portal Datacenter - Big Data Storage Optimization Case Study Intel and Qihoo 360 Internet Portal Datacenter - Big Data Storage Optimization Case Study The adoption of cloud computing creates many challenges and opportunities in big data management and storage. To

More information

Accelerating Real Time Big Data Applications. PRESENTATION TITLE GOES HERE Bob Hansen

Accelerating Real Time Big Data Applications. PRESENTATION TITLE GOES HERE Bob Hansen Accelerating Real Time Big Data Applications PRESENTATION TITLE GOES HERE Bob Hansen Apeiron Data Systems Apeiron is developing a VERY high performance Flash storage system that alters the economics of

More information

Enterprise Workloads on the IBM X6 Portfolio: Driving Business Advantages

Enterprise Workloads on the IBM X6 Portfolio: Driving Business Advantages WHITE PAPER Enterprise Workloads on the IBM X6 Portfolio: Driving Business Advantages Sponsored by: IBM Jed Scaramella January 2014 EXECUTIVE SUMMARY Enterprise information technology (IT) leaders are

More information

HadoopTM Analytics DDN

HadoopTM Analytics DDN DDN Solution Brief Accelerate> HadoopTM Analytics with the SFA Big Data Platform Organizations that need to extract value from all data can leverage the award winning SFA platform to really accelerate

More information

SQL Server 2012 Parallel Data Warehouse. Solution Brief

SQL Server 2012 Parallel Data Warehouse. Solution Brief SQL Server 2012 Parallel Data Warehouse Solution Brief Published February 22, 2013 Contents Introduction... 1 Microsoft Platform: Windows Server and SQL Server... 2 SQL Server 2012 Parallel Data Warehouse...

More information

Actian Vector in Hadoop

Actian Vector in Hadoop Actian Vector in Hadoop Industrialized, High-Performance SQL in Hadoop A Technical Overview Contents Introduction...3 Actian Vector in Hadoop - Uniquely Fast...5 Exploiting the CPU...5 Exploiting Single

More information

Data Center Storage Solutions

Data Center Storage Solutions Data Center Storage Solutions Enterprise software, appliance and hardware solutions you can trust When it comes to storage, most enterprises seek the same things: predictable performance, trusted reliability

More information

The Ultimate in Scale-Out Storage for HPC and Big Data

The Ultimate in Scale-Out Storage for HPC and Big Data Node Inventory Health and Active Filesystem Throughput Monitoring Asset Utilization and Capacity Statistics Manager brings to life powerful, intuitive, context-aware real-time monitoring and proactive

More information

WHITE PAPER The Storage Holy Grail: Decoupling Performance from Capacity

WHITE PAPER The Storage Holy Grail: Decoupling Performance from Capacity WHITE PAPER The Storage Holy Grail: Decoupling Performance from Capacity Technical White Paper 1 The Role of a Flash Hypervisor in Today s Virtual Data Center Virtualization has been the biggest trend

More information