Quick Reference Selling Guide for Intel Lustre Solutions Overview
|
|
|
- Emmeline Thornton
- 10 years ago
- Views:
Transcription
1 Overview The 30 Second Pitch Intel Solutions for Lustre* solutions Deliver sustained storage performance needed that accelerate breakthrough innovations and deliver smarter, data-driven decisions for enterprise use. We do this by: Creating products and support services that solve the key challenges the organizations face when implementing storage solutions. Intel Lustre solutions use industry-leading hardware and software: Flexible, storage neutral solutions Easy to install, con figure and manage Highly available and resource ef ficient Extensible and easily integrated What this means: You can rely on Intel Lustre Solutions to add signi ficant value across your data center and boost application performance. How Are Customers Challenged Today? Under powered storage solutions Insuf ficient storage performance has a direct, negative impact on application performance. Purpose-built for superior performance, Intel Lustre Solutions deliver the sustained performance needed by today s applications. Proprietary, single vendor storage solutions As with servers, which have promoted the idea of openness, today s storage administrators and purchasers demand multi-vendor storage solutions that promote competition to keep prices low. Shaped by their experiences with clustered compute servers, they require proven solutions built using standard software components. Intel Lustre Solutions meet this important criteria. Extensible, modular and simple to manage Enterprise markets and end-users demand extensible, interoperable and easily integrated storage solutions Intel Lustre Solutions Overview Built upon unmatched open source expertise Intel is the primary developer and maintainer of the open source Lustre file system software ensuring that new features are designed, built and tested for enterprise-class storage solutions. Advanced features that enhance Lustre solutions Intel Lustre Solutions build upon open source Lustre to deliver additional bene fits, including: 1. Intel Manager for Lustre* 2. Modern REST interface and storage plug-interfaces for deep integration with storage arrays or applications. 3. Fast, shared, simple to manage storage for Hadoop Map Reduce applications Global Technical Support Services As the recognized Lustre experts, Intel has the technical expertise and experience needed to support even the most complex con figurations..
2 The HPC Storage Market The High Performance Storage Market Servers Storage Service The High Performance Computing (HPC) Market 1 The overall HPC market, comprised of servers, storage, applications and services, is forecasted to grow to $30B by Storage for HPC is the fastest growing segment of the HPC market, growing +8% annually, and is expected to be a $6B market, up from $4B today. Spending on storage for HPC and big data will continue to outpace all other HPC segments % CAGR $B Servers used for clustered storage solutions account for nearly 40% of all HPC server revenues. Intel Xeon is the dominant processor for clustered storage servers the ideal hardware foundation for an Intel Lustre Solution Key Drivers Shaping High Performance Storage Investments in HPC solutions will continue to grow because: They create strong, sustained competitive advantages, There are important problems to be solved - from advanced simulations to life sciences, weather forecasting and climate modeling and oil/gas/ energy What this means: Intel Lustre Solutions lower the complexity and cost of high performance storage solutions for HPC and data-intensive workloads High Performance Storage Meets Big Data The Need for Fast, Shared, Easy to Manage Storage for Hadoop Applications Per IDC, over 65% of HPC users are running Hadoop applications on their HPC systems, further fueling the need for fast, shared storage solutions. The HPC storage-big Data segment is forecasted to grow at +18% CAGR ideal for Intel HPC Distribution for Apache Hadoop software. Source: 1 IDC, Broad HPC Market , #242742, August 2013
3 Lustre Software Solutions Overview What is Lustre? A closer look at Lustre software What does an Intel Enterprise Edition for Lustre* software solution look like? Purpose-built to support the most demanding storage requirements, Lustre is the most widely used file system for HPC, and is rapidly gaining use in enterprise and Big Data markets. Management Target (MGT) Metadata Target (MDT) Targets (OSTs) Targets (OSTs) What makes Lustre important? 1. Speed: Over 2 TB/second, with many production sites running between GB/second 2. Scalability: Able to support virtually unlimited numbers of storage servers and clients 3. Ef ficient: Achieves ~90% of underlying storage and network resources 4. Capacity: Massive file and file system sizes (32 and 512 PB respectively) to support any workload. Management Network Metadata Servers Intel Manager for Lustre Servers Servers What this means: Fast, massively scalable, cost effective and ef ficient storage solutions for traditional HPC and emerging enterprise applications of all sizes. High Performance Data Network (In finiband, 10GbE) Lustre Clients (1 100,000+) * Some names and brands may be claimed as the property of others.
4 Intel Enterprise Edition for Lustre* software Intel Enterprise Edition for Lustre* software Value Proposition For storage administrators and data scientists who need very fast and highly scalable storage that s simple to con figure and manage -- Intel Enterprise Edition for Lustre is an enhanced implementation of Lustre that lowers the complexity and management costs while accelerating the bene fits of distributed, shared storage. Differentiating Features: ü Very resource ef ficient ü High availability architecture for storage servers ü Choice and flexibility: Vendor neutral solutions ü Extensible: Storage plug-in and REST interfaces ü Lower total cost of ownership Target Buyers: Storage administrators and data center managers Line of business managers needing fast, effective storage (e.g. Hadoop applications) A Closer Look What are the key pieces of Intel Enterprise Edition for Lustre? Hadoop Adapter Lustre storage for MapReduce applications REST API Extensibility Management and Monitoring Services Lustre File System Full distribution of open source Lustre software Intel value-added software Intel Manager for Lustre* Software Configure, Monitor, Troubleshoot, Manage Open source software CLI Storage Plug-in Integration Creating a Lustre Solution What Intel technologies can be used? Lustre is ideal for exposing the complete Intel technology portfolio, from 1. Xeon processors, including Xeon Phi 2. Intel fabrics, from True Scale In finiband to Gb Ethernet 3. Intel [HPC] Distribution of Apache Hadoop* software 4. Intel Enterprise Edition for Lustre* software What do I sell? Support services based on the number of object storage servers that will be deployed Dual-attached block storage required for high availability con figurations
5 Competitive Landscape - Lustre Powered Storage Lustre Not Lustre The Most Widely Used File System for HPC Open Source Intel Enterprise Edition for Lustre Xyratex ClusterStor IBM GPFS Panasas ActiveStor The latest research from IDC shows that Lustre is the most widely used primary file system for HPC. And equally important, only Lustre grew in fact, Lustre use grew nearly 10% to reach 27% overall, while IBM GPFS remained unchanged. Software-only Y Y N/A Y N Integrated storage appliance N Y Y Y Y Hardware neutral Y Y N Y N Management CLI only CLI & UI CLI & UI CLI & UI UI Provisioning Y Y Y HW Monitoring N Y (via plug-in) Y Y REST API N Y N N Storage plug-in N Y N N N Shared, parallel storage for Hadoop Map/Reduce N Y N Y N Source: IDC, January 2014
6 FAQ What is Intel Enterprise Edition for Lustre* software? What should I ask or listen for to determine if I have an opportunity? With a full release of open source Lustre software Intel EE for Lustre software is purpose-built to combine the superior performance and massive scalability of Lustre with simple but powerful management tools, unique support for Hadoop applications and modern, open interfaces that allow enterprises of all sizes to exploit the advantages of scale-out storage software to help solve today s most data-intensive computing and storage challenges. Ask your prospect about their current storage solution and applications. Are they getting adequate storage performance to power their applications? Are they experiencing any capacity or I/O bottlenecks? Are they planning to deploy any new applications, such as Hadoop MapReduce? Is their current storage solution dif ficult to manage? Are they using Linux today, or willing to consider using Linux? Ask whether they have any concerns about using open source software. Who is their primary storage vendor? Also, have they ve ever considered a Lustre-based solution? Who can I contact for help? HPDD has a roster of sales and solution architects that you can contact for help. Refer to slide 5. How can my prospect learn more? How are Lustre solutions priced? What makes Lustre from Intel unique? Customers and prospects can learn more about Intel Solutions for Lustre at lustre.intel.com Pricing is based on the total number of storage servers within an Intel Lustre Solution con figuration. Contact one of the sales resources listed on slide 5 complete details. With the needs of enterprise customers in mind, we ve extended Lustre with smart management tools, open interfaces and a software connector that makes storage for Hadoop MapReduce applications simpler to manage and more cost effective.
7 Case Study [visit the partner portal for the complete case study] TB of processed data weekly Processed data is small fraction of overall storage capacity Stored in irods data warehouse BAM or FASTA format files Use pattern matching algorithms like BWA and BLAST Lustre offers immense scalable capacity Now have 8 production Lustre file systems and are planning to add more Performance was main goal but scale, flexibility, ef ficiency were critical Challenge: Improvements to lab equipment and processes have led to exponential increases in the volume of data being generated but storage budgets are flat or growing slowly. Large data sets are dif ficult to proactively manage, and can easily overwhelm storage resources. Un-optimized storage has a direct, negative impact on application performance slowing the time for breakthrough results. Solution: Exploit the power and scale of HPC-class storage, powered by Intel Enterprise Edition for Lustre* software for unprecedented performance with unmatched management simplicity. Bene fits that storage solutions powered by Intel EE for Lustre software provided: Openness Developed and enhanced by the Lustre experts Global namespace all clients can access all data Performance Upwards of 1 TB/s Virtually unlimited file system and per file sizes Management simplicity using Intel Manager for Lustre*
Intel HPC Distribution for Apache Hadoop* Software including Intel Enterprise Edition for Lustre* Software. SC13, November, 2013
Intel HPC Distribution for Apache Hadoop* Software including Intel Enterprise Edition for Lustre* Software SC13, November, 2013 Agenda Abstract Opportunity: HPC Adoption of Big Data Analytics on Apache
Big Data Meets High Performance Computing
WHITE PAPER Intel Enterprise Edition for Lustre* Software High Performance Data Division Big Data Meets High Performance Computing Intel Enterprise Edition for Lustre* software and Hadoop combine to bring
An Alternative Storage Solution for MapReduce. Eric Lomascolo Director, Solutions Marketing
An Alternative Storage Solution for MapReduce Eric Lomascolo Director, Solutions Marketing MapReduce Breaks the Problem Down Data Analysis Distributes processing work (Map) across compute nodes and accumulates
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
Lustre * Filesystem for Cloud and Hadoop *
OpenFabrics Software User Group Workshop Lustre * Filesystem for Cloud and Hadoop * Robert Read, Intel Lustre * for Cloud and Hadoop * Brief Lustre History and Overview Using Lustre with Hadoop Intel Cloud
Seagate HPC /Big Data Business Tech Talk. December 2014
Seagate HPC /Big Data Business Tech Talk December 2014 Safe Harbor Statement This document contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, and Section
LS-DYNA Best-Practices: Networking, MPI and Parallel File System Effect on LS-DYNA Performance
11 th International LS-DYNA Users Conference Session # LS-DYNA Best-Practices: Networking, MPI and Parallel File System Effect on LS-DYNA Performance Gilad Shainer 1, Tong Liu 2, Jeff Layton 3, Onur Celebioglu
Accelerating and Simplifying Apache
Accelerating and Simplifying Apache Hadoop with Panasas ActiveStor White paper NOvember 2012 1.888.PANASAS www.panasas.com Executive Overview The technology requirements for big data vary significantly
Next Generation HPC Storage Initiative. Torben Kling Petersen, PhD Lead Field Architect - HPC
Next Generation HPC Storage Initiative Torben Kling Petersen, PhD Lead Field Architect - HPC 2 Forward Looking Statement The following information contains, or may be deemed to contain, "forward-looking
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
EMC BACKUP MEETS BIG DATA
EMC BACKUP MEETS BIG DATA Strategies To Protect Greenplum, Isilon And Teradata Systems 1 Agenda Big Data: Overview, Backup and Recovery EMC Big Data Backup Strategy EMC Backup and Recovery Solutions for
IBM System x reference architecture solutions for big data
IBM System x reference architecture solutions for big data Easy-to-implement hardware, software and services for analyzing data at rest and data in motion Highlights Accelerates time-to-value with scalable,
News and trends in Data Warehouse Automation, Big Data and BI. Johan Hendrickx & Dirk Vermeiren
News and trends in Data Warehouse Automation, Big Data and BI Johan Hendrickx & Dirk Vermeiren Extreme Agility from Source to Analysis DWH Appliances & DWH Automation Typical Architecture 3 What Business
Introduction. Need for ever-increasing storage scalability. Arista and Panasas provide a unique Cloud Storage solution
Arista 10 Gigabit Ethernet Switch Lab-Tested with Panasas ActiveStor Parallel Storage System Delivers Best Results for High-Performance and Low Latency for Scale-Out Cloud Storage Applications Introduction
Experiences with Lustre* and Hadoop*
Experiences with Lustre* and Hadoop* Gabriele Paciucci (Intel) June, 2014 Intel * Some Con fidential name Do Not Forward and brands may be claimed as the property of others. Agenda Overview Intel Enterprise
Scaling Objectivity Database Performance with Panasas Scale-Out NAS Storage
White Paper Scaling Objectivity Database Performance with Panasas Scale-Out NAS Storage A Benchmark Report August 211 Background Objectivity/DB uses a powerful distributed processing architecture to manage
New Storage System Solutions
New Storage System Solutions Craig Prescott Research Computing May 2, 2013 Outline } Existing storage systems } Requirements and Solutions } Lustre } /scratch/lfs } Questions? Existing Storage Systems
Unlocking the Intelligence in. Big Data. Ron Kasabian General Manager Big Data Solutions Intel Corporation
Unlocking the Intelligence in Big Data Ron Kasabian General Manager Big Data Solutions Intel Corporation Volume & Type of Data What s Driving Big Data? 10X Data growth by 2016 90% unstructured 1 Lower
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,
SAS and Oracle: Big Data and Cloud Partnering Innovation Targets the Third Platform
SAS and Oracle: Big Data and Cloud Partnering Innovation Targets the Third Platform David Lawler, Oracle Senior Vice President, Product Management and Strategy Paul Kent, SAS Vice President, Big Data What
Netapp HPC Solution for Lustre. Rich Fenton ([email protected]) UK Solutions Architect
Netapp HPC Solution for Lustre Rich Fenton ([email protected]) UK Solutions Architect Agenda NetApp Introduction Introducing the E-Series Platform Why E-Series for Lustre? Modular Scale-out Capacity Density
Scaling from Workstation to Cluster for Compute-Intensive Applications
Cluster Transition Guide: Scaling from Workstation to Cluster for Compute-Intensive Applications IN THIS GUIDE: The Why: Proven Performance Gains On Cluster Vs. Workstation The What: Recommended Reference
Enhance Service Delivery and Accelerate Financial Applications with Consolidated Market Data
White Paper Enhance Service Delivery and Accelerate Financial Applications with Consolidated Market Data What You Will Learn Financial market technology is advancing at a rapid pace. The integration of
Vendor Update Intel 49 th IDC HPC User Forum. Mike Lafferty HPC Marketing Intel Americas Corp.
Vendor Update Intel 49 th IDC HPC User Forum Mike Lafferty HPC Marketing Intel Americas Corp. Legal Information Today s presentations contain forward-looking statements. All statements made that are not
ECMWF HPC Workshop: Accelerating Data Management
October 2012 ECMWF HPC Workshop: Accelerating Data Management Massively-Scalable Platforms and Solutions Engineered for the Big Data and Cloud Era Glenn Wright Systems Architect, DDN Data-Driven Paradigm
Storage, Cloud, Web 2.0, Big Data Driving Growth
Storage, Cloud, Web 2.0, Big Data Driving Growth Kevin Deierling Vice President of Marketing October 25, 2013 Delivering the Highest ROI Across all Markets HPC Web 2.0 DB/Enterprise Cloud Financial Services
Sun Constellation System: The Open Petascale Computing Architecture
CAS2K7 13 September, 2007 Sun Constellation System: The Open Petascale Computing Architecture John Fragalla Senior HPC Technical Specialist Global Systems Practice Sun Microsystems, Inc. 25 Years of Technical
The Hartree Centre helps businesses unlock the potential of HPC
The Hartree Centre helps businesses unlock the potential of HPC Fostering collaboration and innovation across UK industry with help from IBM Overview The need The Hartree Centre needs leading-edge computing
200 flash-related. petabytes of. flash shipped. patents. NetApp flash leadership. Metrics through October, 2015
NetApp flash leadership Metrics through October, 2015 ~ 125 petabytes of 200 flash-related ~ flash shipped patents flash shipped in last 3 quarters hybrid systems shipped all-flash systems shipped 17 2014
JBoss Enterprise MIDDLEWARE
JBoss Enterprise MIDDLEWARE WHAT IS IT? JBoss Enterprise Middleware integrates and hardens the latest enterprise-ready features from JBoss community projects into supported, stable, enterprise-class middleware
ANY SURVEILLANCE, ANYWHERE, ANYTIME
ANY SURVEILLANCE, ANYWHERE, ANYTIME WHITEPAPER DDN Storage Powers Next Generation Video Surveillance Infrastructure INTRODUCTION Over the past decade, the world has seen tremendous growth in the use of
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
SAP HANA - an inflection point
SAP HANA forms the future technology foundation for new, innovative applications based on in-memory technology. It enables better performing business strategies, including planning, forecasting, operational
High-Availability and Scalable Cluster-in-a-Box HPC Storage Solution
Intel Solutions Reference Architecture High-Availability and Scalable Cluster-in-a-Box HPC Storage Solution Using RAIDIX Storage Software Integrated with Intel Enterprise Edition for Lustre* Audience and
THE EMC ISILON STORY. Big Data In The Enterprise. Copyright 2012 EMC Corporation. All rights reserved.
THE EMC ISILON STORY Big Data In The Enterprise 2012 1 Big Data In The Enterprise Isilon Overview Isilon Technology Summary 2 What is Big Data? 3 The Big Data Challenge File Shares 90 and Archives 80 Bioinformatics
Cisco Unified Data Center Solutions for MapR: Deliver Automated, High-Performance Hadoop Workloads
Solution Overview Cisco Unified Data Center Solutions for MapR: Deliver Automated, High-Performance Hadoop Workloads What You Will Learn MapR Hadoop clusters on Cisco Unified Computing System (Cisco UCS
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 [email protected] Evolution of Data Sets in Healthcare
Modernizing Hadoop Architecture for Superior Scalability, Efficiency & Productive Throughput. ddn.com
DDN Technical Brief Modernizing Hadoop Architecture for Superior Scalability, Efficiency & Productive Throughput. A Fundamentally Different Approach To Enterprise Analytics Architecture: A Scalable Unit
Maximum performance, minimal risk for data warehousing
SYSTEM X SERVERS SOLUTION BRIEF Maximum performance, minimal risk for data warehousing Microsoft Data Warehouse Fast Track for SQL Server 2014 on System x3850 X6 (95TB) The rapid growth of technology has
Elasticsearch on Cisco Unified Computing System: Optimizing your UCS infrastructure for Elasticsearch s analytics software stack
Elasticsearch on Cisco Unified Computing System: Optimizing your UCS infrastructure for Elasticsearch s analytics software stack HIGHLIGHTS Real-Time Results Elasticsearch on Cisco UCS enables a deeper
Why EMC for SAP HANA. EMC is the #1 Storage Vendor for SAP (IDC Storage User Demand Study, Fall 2011)
Why EMC for SAP HANA EMC is the #1 Storage Vendor for SAP (IDC Storage User Demand Study, Fall 2011) Strong installed base Best Enterprise Capabilities, Lowest TCO, Highest Performance More SAP Deployed
Cray: Enabling Real-Time Discovery in Big Data
Cray: Enabling Real-Time Discovery in Big Data Discovery is the process of gaining valuable insights into the world around us by recognizing previously unknown relationships between occurrences, objects
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
Convergence is accelerating the path to the New Style of Business
Convergence is accelerating the path to the New Style of Business Paul Durzan Vice President Converged Data Center Infrastructure Hewlett Packard Enterprise Copyright 2012 Hewlett-Packard Development Company,
Red Hat Enterprise Linux solutions from HP and Oracle
Red Hat Enterprise Linux solutions from HP and Oracle Driven by innovation to improve interoperability and scalability, HP, Red Hat, and Oracle deliver a broad and deep range of Linux offerings to enhance
HPC & Big Data THE TIME HAS COME FOR A SCALABLE FRAMEWORK
HPC & Big Data THE TIME HAS COME FOR A SCALABLE FRAMEWORK Barry Davis, General Manager, High Performance Fabrics Operation Data Center Group, Intel Corporation Legal Disclaimer Today s presentations contain
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
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
An Oracle White Paper June 2012. High Performance Connectors for Load and Access of Data from Hadoop to Oracle Database
An Oracle White Paper June 2012 High Performance Connectors for Load and Access of Data from Hadoop to Oracle Database Executive Overview... 1 Introduction... 1 Oracle Loader for Hadoop... 2 Oracle Direct
Cloud Computing. Big Data. High Performance Computing
Cloud Computing Big Data High Performance Computing Intel Corporation copy right 2013 Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors.
Fast, Low-Overhead Encryption for Apache Hadoop*
Fast, Low-Overhead Encryption for Apache Hadoop* Solution Brief Intel Xeon Processors Intel Advanced Encryption Standard New Instructions (Intel AES-NI) The Intel Distribution for Apache Hadoop* software
DDN updates object storage platform as it aims to break out of HPC niche
DDN updates object storage platform as it aims to break out of HPC niche Analyst: Simon Robinson 18 Oct, 2013 DataDirect Networks has refreshed its Web Object Scaler (WOS), the company's platform for efficiently
SGI High Performance Computing
SGI High Performance Computing Accelerate time to discovery, innovation, and profitability 2014 SGI SGI Company Proprietary 1 Typical Use Cases for SGI HPC Products Large scale-out, distributed memory
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
Seagate Lustre Update. Peter Bojanic 2015-04-13
Seagate Lustre Update Peter Bojanic 2015-04-13 Seagate Cloud Systems and Solutions Delivering next-generation workloads with Intelligent Information Infrastructure tion OEM Cloud Services HPC HPC HPC Information
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
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
Big Data Performance Growth on the Rise
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)
Business-centric Storage FUJITSU Hyperscale Storage System ETERNUS CD10000
Business-centric Storage FUJITSU Hyperscale Storage System ETERNUS CD10000 Clear the way for new business opportunities. Unlock the power of data. Overcoming storage limitations Unpredictable data growth
Building your Big Data Architecture on Amazon Web Services
Building your Big Data Architecture on Amazon Web Services Abhishek Sinha @abysinha [email protected] AWS Services Deployment & Administration Application Services Compute Storage Database Networking
HADOOP ON ORACLE ZFS STORAGE A TECHNICAL OVERVIEW
HADOOP ON ORACLE ZFS STORAGE A TECHNICAL OVERVIEW 757 Maleta Lane, Suite 201 Castle Rock, CO 80108 Brett Weninger, Managing Director [email protected] Dave Smelker, Managing Principal [email protected]
全 新 企 業 網 路 儲 存 應 用 THE STORAGE NETWORK MATTERS FOR EMC IP STORAGE PLATFORMS
全 新 企 業 網 路 儲 存 應 用 THE STORAGE NETWORK MATTERS FOR EMC IP STORAGE PLATFORMS Enterprise External Storage Array Capacity Growth IDC s Storage Capacity Forecast = ~40% CAGR (2014/2017) Keep Driving Growth!
HPC Storage Solutions at transtec. Parallel NFS with Panasas ActiveStor
HPC Storage Solutions at transtec Parallel NFS with Panasas ActiveStor HIGH PERFORMANCE COMPUTING AT TRANSTEC More than 30 Years of Experience in Scientific Computing 1980: transtec founded, a reseller
PRIMERGY server-based High Performance Computing solutions
PRIMERGY server-based High Performance Computing solutions PreSales - May 2010 - HPC Revenue OS & Processor Type Increasing standardization with shift in HPC to x86 with 70% in 2008.. HPC revenue by operating
Integrated Grid Solutions. and Greenplum
EMC Perspective Integrated Grid Solutions from SAS, EMC Isilon and Greenplum Introduction Intensifying competitive pressure and vast growth in the capabilities of analytic computing platforms are driving
Panasas at the RCF. Fall 2005 Robert Petkus RHIC/USATLAS Computing Facility Brookhaven National Laboratory. Robert Petkus Panasas at the RCF
Panasas at the RCF HEPiX at SLAC Fall 2005 Robert Petkus RHIC/USATLAS Computing Facility Brookhaven National Laboratory Centralized File Service Single, facility-wide namespace for files. Uniform, facility-wide
Dell and JBoss just work Inventory Management Clustering System on JBoss Enterprise Middleware
Dell and JBoss just work Inventory Management Clustering System on JBoss Enterprise Middleware 2 Executive Summary 2 JBoss Enterprise Middleware 5 JBoss/Dell Inventory Management 5 Architecture 6 Benefits
HP ProLiant Storage Server family. Radically simple storage
HP ProLiant Storage Server family Radically simple storage The HP ProLiant Storage Server family delivers affordable, easy-to-use network attached storage (NAS) solutions that simplify storage management
IBM PureFlex System. The infrastructure system with integrated expertise
IBM PureFlex System The infrastructure system with integrated expertise 2 IBM PureFlex System IT is moving to the strategic center of business Over the last 100 years information technology has moved from
Dell Reference Configuration for Hortonworks Data Platform
Dell Reference Configuration for Hortonworks Data Platform A Quick Reference Configuration Guide Armando Acosta Hadoop Product Manager Dell Revolutionary Cloud and Big Data Group Kris Applegate Solution
Optimizing Storage for Better TCO in Oracle Environments. Part 1: Management INFOSTOR. Executive Brief
Optimizing Storage for Better TCO in Oracle Environments INFOSTOR Executive Brief a QuinStreet Excutive Brief. 2012 To the casual observer, and even to business decision makers who don t work in information
Symantec Backup Appliances
Symantec Backup Appliances End-to-end Protection for your backup environment Stefan Redtzer Sales Manager Backup Appliances, Nordics 1 Today s IT Challenges: Why Better Backup is needed? Accelerated Data
Sophos Acquires Cyberoam
Sophos Acquires Cyberoam Frequently Asked Questions Table of Contents FAQ... 2 What is Sophos announcing?... 2 Who is Cyberoam?... 2 Why is Sophos acquiring Cyberoam?... 2 Why is Sophos acquiring Cyberoam
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
Cluster Implementation and Management; Scheduling
Cluster Implementation and Management; Scheduling CPS343 Parallel and High Performance Computing Spring 2013 CPS343 (Parallel and HPC) Cluster Implementation and Management; Scheduling Spring 2013 1 /
Copyright 2015 EMC Corporation. All rights reserved.
Copyright 2015 EMC Corporation. All rights reserved. 1 Radically Accelerate Laying The Foundation Of The SDDC & Redefine Simplicity With EMC VSPEX BLUE Based On VMware EVO:RAIL Rob Glanzman Director of
Netezza and Business Analytics Synergy
Netezza Business Partner Update: November 17, 2011 Netezza and Business Analytics Synergy Shimon Nir, IBM Agenda Business Analytics / Netezza Synergy Overview Netezza overview Enabling the Business with
Xyratex Update. Michael K. Connolly. Partner and Alliances Development
Xyratex Update Michael K. Connolly Partner and Alliances Development Is Now 2 The Continued Power of Xyratex Global Solutions Provider of High Quality Data Storage Hardware, Software and Services Broad
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
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
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
HP and Business Objects Transforming information into intelligence
HP and Business Objects Transforming information into intelligence 1 Empowering your organization Intelligence: the ability to acquire and apply knowledge. For businesses today, gaining intelligence means
The PHI solution. Fujitsu Industry Ready Intel XEON-PHI based solution. SC2013 - Denver
1 The PHI solution Fujitsu Industry Ready Intel XEON-PHI based solution SC2013 - Denver Industrial Application Challenges Most of existing scientific and technical applications Are written for legacy execution
