Karmjeet Kahlon Director Global z Systems Software Sales

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Karmjeet Kahlon Director Global z Systems Software Sales"

Transcription

1 Karmjeet Kahlon Director Global z Systems Software Sales

2 The market is moving, forcing businesses to transform Explosion in transaction growth driven by mobility and the Internet of Things Analytics is moving to real time to capture new opportunities at the point of impact Hybrid cloud is the new standard for delivering service, agility, trust and efficiency 2

3 Consumers are empowered Customer experience is the new measure of success Gets us to the demographic 3

4 Enterprise Mobility needs to be Engaging Empowering Trustworthy User friendly Fast and seamless Context-Aware data Personalized information Device specific Simple, task oriented Data Driven Insights Access to information, when the user needs it Listens to user feedback and changes quickly Always on and available Security access and authorization Protects against fraud Assesses risk Continues to learn of consumers prefer mobile apps over mobile websites of mobile apps are used once, then deleted Security executives have cloud and mobile concerns 5

5 Rethinking Infrastructure for Mobile Moments Building Mobile apps that support a range of devices, are easy to use and look really cool Increasing speed to market to deploy capabilities Rapidly innovating and applying analytics to keep enhancing experience 6 68% mobile app developers are unaware of impact on backend systems of record Protecting Mobile access to enterprise data Scaling elastically to deliver responsiveness Integrating Mobile activities with rest of business

6 Analytics is the newest resource for competitive advantage to customer lifetime value for firms using engagement analytics 2015 IBM Corporation boost for every dollar spent Nucleus estimate of analytics payback; 1.2 X more than 3 years ago Sources: Aberdeen Group, Nucleus Research, NHCAA 1 billion estimated U.S. fraud loss to healthcare every year 80% CIOs surveyed state transition from backward looking passive analysis needs to shift to forward looking predictive analytics 1

7 Analytics implementations have grown in complexity Significant complexity Separated data warehouses Analytics latency Transactional data is not readily available Lack of synchronization Data is not easily aggregated and fresh Data duplication Multiple copies of the same data Excessive costs Of moving data around 8

8 And a new deployment strategy is needed Transactions Right-time insight at point of impact Increased business agility Improved data governance and security Analytics Reduced infrastructure cost and complexity say greatest value will come from analyzing transactional data of enterprise applications need mainframe to complete transactions 9

9 IBM z Systems provide the infrastructure to support all dimensions of cloud service delivery Private Cloud z Systems as the foundation of the most secure, scalable private cloud infrastructure Hybrid Cloud Leveraging BlueMix and interoperability with SoftLayer, AWS and other public cloud offerings Public Cloud Enabling MSPs/CSPs to deliver differentiated mainframe-based service offerings 13 Elastic, virtually limitless expansion Shared everything design for extreme utilization Secure isolation of Virtual Servers Built on open industry standards

10 In the complex world of digital business, Security and Availability are now a board level discussion The indirect cost of security breaches and downtime can far outweigh the direct costs Build a vault around your crown jewels with System z Of security executives have cloud and mobile concerns 1 Mobile malware growth in just one year 2 Average cost of a security breach in the US 3 Users Data Transactions Average cost of one minute of downtime 4 14 Source: IBM CISO Survey Juniper Mobile Threat Report 3 IBM client examples 4

11 Strategic Priorities for z Systems Data Server of Choice Most Secure & Reliable Stack Performance Security Get workload done faster Auditable protection of data Scale capacity with workload Isolation for multi-tenancy Co-optimize hardware & software Simplify management & compliance Data-Serving System Availability Deliver more data faster Apply analytics to IT operations Sysplex Availabiity Business Analytics Enhanced GDPS Workload-optimized Active-active solutions Big Data Integration Asynchronous data replication OLTP In line Analytics Simplification and autonomics Enterprise Cloud Leadership Enterprise Cloud Enable cloud-based delivery Dynamic shared infrastructure Software Defined Env, Open Stack Heterogeneous Workloads Linux consolidation Extend platform management Integrate mobile workloads Cross-platform integration Industry Solutions

12 z Systems: Integrated by design Transaction Processing Java Business Analytics Semiconductor Technology Microprocessor Design Systems Design Virtualization & Operating Systems Compilers, Tools & Java Runtime Optimized Middleware Data Ready Cloud Ready Security Ready

13 Redefining enterprise IT for digital business and mobile app economy with more than investment developers Exceptional customer experiences over Insights at the point of impact with integrated Extending of the mainframe with clients Efficient & trusted service delivery through 17

14 More memory makes a difference Enable totally new types of applications Perform faster table scans with in memory data for faster response time; reduce CPU by avoiding IO, make possible new types of analysis Accommodate growing workloads without changes to applications to gain benefits Run sorts using large memory to improve elapsed times Keep the entire Cognos Dynamic Cubes end-to-end application online for faster decision making Support modern memory heavy computing languages and architectures Larger Java heaps without an increase in paging Improves IBM MQSeries V8 ability to manage increasing messaging volumes generated by today's mobile and cloud applications Reduce need to fine tune memory and leverage the tuning capabilities in DB2, IMS and CICS 19 DB2 Buffer Pool simulator tool available as a DB2 (V11) deliverable. Provides an accurate benefit estimation of increasing buffer pool size for DB2.

15 Designed for transaction processing and data serving New 8-core Processor Design in 22nm Silicon Technology Micro architecture enhancements to increase instructions per cycle Larger caches to optimize data serving environments Simultaneous multi-threading delivering more throughput per core and substantial economies of scale with for Linux and ziipeligible workloads The world s premier transaction and data engine 20 Single Instruction Multiple Data (SIMD) improves performance of complex mathematical models Up to 2X improved cryptographic performance with enhanced Central Processor Assist for Cryptographic Functions (CPACF) Improved on chip hardware compression helping to save disk space and cut data transfer time

16 Modern and open tools for z Systems Java 8 and z13 Optimized CICS, IMS and DB2 transactions COBOL, PL/I & C/C++ Compilers z13 exploitation for increased performance improvement in throughput for generic applications reduction in CPU time improvement in throughout per core for security enabled applications throughput improvement 21

17 EXECUTE 30K TRANSACTION A SECOND, UP TO 2.8B A DAY PROVIDE SUBS-SECOND MOBILE TRANSACTION RESPONSE TIME, EVERY TIME SCORE EVERY TRANSACTION TO PREVENT 100% OF FRAUD, WITHOUT IMPACTING TRANSACTION PERFORMANCE RUN CONSISTENTLY AT 100% UTILIZATION FULLY ENCRYPT EVERY TRANSACTION END TO END, AND NEVER COMPROMISE CLIENT OR CORPORATE DATA DELIVER PUBLIC AND PRIVATE CLOUD SERVICES WITH 100% UPTIME, ONE SYSTEM ANALYZE TRANSACTIONS ON THE FLY, MAKING TERADATA-STYLE SYSTEMS OBSOLETE. 22

18 Time for the next OPEN BREAKTHROUGH The best of IBM z SYSTEMS Dynamic Resource Allocation Non-disruptive Scalability Continuous Business Availability Operational Efficiency Trusted Security Data and Transaction Serving The best of LINUX & OPEN Freedom & Agility Standards based Speed to Innovate Developer Productivity Community Collaboration Quality of Software 26

19 The world s fastest processor Massive I/O throughput 8,000 virtual servers and 100s of thousands of containers in SYSTEM Large memory pools with 4 levels of Cache IT analytics to avoid future outages The most trusted, efficient and high performance enterprise-grade Linux platform Dedicated cryptographic processors 28

20 LINUX YOUR WAY Distributions Hypervisors Languages Runtimes Management Database Analytics vrealize Manager 30

21 A winning combination!

22 Imagine the possibilities Real-time traffic flow optimization Fraud and risk detection Understand and act on customer sentiment 2015 IBM Corporation Accurate and timely threat detection Predict and act on intent to purchase Low-latency network analysis

23 Apache Spark is Fast Leverages aggressively cached in-memory distributed computing and JVM threads Faster than MapReduce for some workloads Ease of use (for programmers) Written in Scala, an object-oriented, functional programming language Scala, Python and Java APIs Scala and Python interactive shells Runs on Hadoop, Mesos, standalone or cloud General purpose Covers a wide range of workloads Provides SQL, streaming and complex analytics from IBM Corporation

24 Apache Spark is emerging as key to analytics ecosystem IBM z Systems analytics and Stream Spark: well-matched Compression GraphX SQL MLlib RDDcache File System Network Scheduler Serialization Faster analytics, both batch and real-time Federated data access while preserving consistent APIs Historical, OLTP and streaming data Java based, can embed optimized nodes within transaction JVMs Use data in-place, avoiding unnecessary ETLs Infrastructure can be optimized underneath APIs.. e.g. zedc, memory management enhancements Available for Linux on z System now..available end of year for z/os Look familiar?

25 z/os Apache Spark on z/os Available Year End 2015 Key Business Transaction Systems Spark Applications: IBM and Other Commercial Vendors Java Distributed Value: Optimized access and z/os governed in-memory capabilities for core business data, leveraging open source analytic frameworks Spark SQL RDD Spark Stream MLib Apache Spark Core RDD RDD GraphX RDD Oracle Consistent analytic interfaces for SQL, Graph, Machine Learning across multiple data and system environments Type 2 Type 4 DB2 z/os Type 4 IMS Rocket Mainframe Data Service for Apache Spark z/os HDFS Integration of analytics across core systems, social data, website information, etc. VSAM SMF and more... NEW! Rocket Software Integrates with Apache Spark z/os via the Mainframe Data Service for Apache Spark z/os

26 An example of z Systems federated data analysis easy to program, fast results, no data movement required! Bring processing to data, instead of moving data to common monolithic infrastructure Lower data life-cycle management cost (ETL overhead, security etc) Common, standard and unified interface across environments/platforms Sentiment analysis on social media Linux Learn, identify and adapt to user behaviors Twitter z/os Connect WebSphere App Server Business Logic Persistent Layer z/os DB2 Trading patterns and recommendations

27 Let your imagination soar: Federate analysis and keep data in its place! Spark node Spark node VSAM DB2 z/os IMS DB Spark node Language independence Physical Sequential Spark node SMF Spark node Log Streams Data independence Spark node Spark node Spark node ADABAS Syslog Tape

28 Apache Spark available today on Linux on z Systems (apache.org): see it in action z/os availability by YE2015

29 System z Software Pricing Mobile Workload Pricing (MWP) - Mitigates impact of Mobile workload on MLC charges Improves cost of growth for mobile transactions processed by z/os on zec12 and later machines Transactions coming from Mobile Phones or Tablet devices have MSUs reduced by 60% in sub-capacity report No major infrastructure changes required, no separate LPARs needed z Systems Collocated Application Pricing (zcap) Run new applications without new LPARs For new applications, new workloads priced as if in a dedicated environment while technically integrated in LPARs with other workloads Applicable to new applications coming to all zenterprise and later machines, z196 through z13 zcap eligible applications will have no effect on the reported MSUs for other unrelated sub-capacity middleware, and reduced impact on z/os (adjusts MSUs similar to Mobile Workload Pricing) Country Multiplex Pricing Shifting to greater flexibility in how you run your workloads Unprecedented flexibility to move and run workloads anywhere and to migrate to new hardware Elimination of duplicate sub-capacity peaks and Sysplex aggregated pricing rules Software migrations also greatly simplified No time limit for new version migrations, multiple versions reported with concurrent peaks Cost of growth is reduced One price per product for growth anywhere in the country New Country Multiplex License Charges (CMLC) metric with additional tiers beyond AWLC

30 z13: a new system designed for mobile, analytics and trusted cloud 40 With the highest speeds, the most diverse workloads, and simply the best security on the planet

31 41 THANK YOU!

What s Happening to the Mainframe? Mobile? Social? Cloud? Big Data?

What s Happening to the Mainframe? Mobile? Social? Cloud? Big Data? December, 2014 What s Happening to the Mainframe? Mobile? Social? Cloud? Big Data? Glenn Anderson IBM Lab Services and Training Today s mainframe is a hybrid system z/os Linux on Sys z DB2 Analytics Accelerator

More information

IBM z13 Software Pricing Announcements

IBM z13 Software Pricing Announcements IBM z13 Software Pricing Announcements - IBM Collocated Application Pricing (ICAP) - Country Multiplex Pricing - Technology Update Pricing for z13 January 14, 2015 IBM z13 Software Pricing Announcements

More information

What s Happening to the Mainframe? Mobile? Social? Cloud? Big Data?

What s Happening to the Mainframe? Mobile? Social? Cloud? Big Data? Glenn Anderson, IBM Lab Services and Training What s Happening to the Mainframe? Mobile? Social? Cloud? Big Data? Summer SHARE August 2014 Session 15595 (c) Copyright 2014 IBM Corporation 1 Today s mainframe

More information

Improve your IT Analytics Capabilities through Mainframe Consolidation and Simplification

Improve your IT Analytics Capabilities through Mainframe Consolidation and Simplification Improve your IT Analytics Capabilities through Mainframe Consolidation and Simplification Ros Schulman Hitachi Data Systems John Harker Hitachi Data Systems Insert Custom Session QR if Desired. Improve

More information

BMC Mainframe Solutions. Optimize the performance, availability and cost of complex z/os environments

BMC Mainframe Solutions. Optimize the performance, availability and cost of complex z/os environments BMC Mainframe Solutions Optimize the performance, availability and cost of complex z/os environments If you depend on your mainframe, you can rely on BMC Sof tware. Yesterday. Today. Tomorrow. You can

More information

Learn How to Leverage System z in Your Cloud

Learn How to Leverage System z in Your Cloud Learn How to Leverage System z in Your Cloud Mike Baskey IBM Thursday, February 7 th, 2013 Session 12790 Cloud implementations that include System z maximize Enterprise flexibility and increase cost savings

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

GigaSpaces Real-Time Analytics for Big Data

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

More information

2015 Ironside Group, Inc. 2

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

More information

Case Study In the last 80 years, Nationwide has grown from a small mutual auto

Case Study In the last 80 years, Nationwide has grown from a small mutual auto "The creation of a private cloud built around the z196 servers supports our business transformation goals by enabling the rapid, seamless deployment of new computing resources to meet emerging requirements."

More information

Big Data Analytics - Accelerated. stream-horizon.com

Big Data Analytics - Accelerated. stream-horizon.com Big Data Analytics - Accelerated stream-horizon.com Legacy ETL platforms & conventional Data Integration approach Unable to meet latency & data throughput demands of Big Data integration challenges Based

More information

Does Cloud Computing Still Matter? A Mainframer s Update. The trouble with cloud.

Does Cloud Computing Still Matter? A Mainframer s Update. The trouble with cloud. Glenn Anderson, IBM Lab Services and Training Does Cloud Computing Still Matter? A Mainframer s Update STL CMG January 2014 2013 IBM Corporation The trouble with cloud. The term cloud computing is used

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

Relational Databases in the Cloud

Relational Databases in the Cloud Contact Information: February 2011 zimory scale White Paper Relational Databases in the Cloud Target audience CIO/CTOs/Architects with medium to large IT installations looking to reduce IT costs by creating

More information

Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control

Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control EP/K006487/1 UK PI: Prof Gareth Taylor (BU) China PI: Prof Yong-Hua Song (THU) Consortium UK Members: Brunel University

More information

IBM zenterprise. The Modern Mainframe. Reinvention, transformation & growth for the future. John Birtles

IBM zenterprise. The Modern Mainframe. Reinvention, transformation & growth for the future. John Birtles IBM zenterprise The Modern Mainframe Reinvention, transformation & growth for the future John Birtles Director, Business Line Exec, System z Platforms The mainframe is everywhere, at the heart of enabling

More information

Large Systems Update 2013 Iceland

Large Systems Update 2013 Iceland Large Systems Update 2013 Iceland z/vm and Linux on System z Update Per Rosenquist IT Specialist Trademarks This presentation contains trade-marked IBM products and technologies. Refer to the following

More information

Private Cloud for WebSphere Virtual Enterprise Application Hosting

Private Cloud for WebSphere Virtual Enterprise Application Hosting Private Cloud for WebSphere Virtual Enterprise Application Hosting Tracy Smith Nationwide Insurance February 7, 2013 Session Number 12884 www.linkedin.com/in/tracysmith2 smitht40@nationwide.com Private

More information

Big data management with IBM General Parallel File System

Big data management with IBM General Parallel File System Big data management with IBM General Parallel File System Optimize storage management and boost your return on investment Highlights Handles the explosive growth of structured and unstructured data Offers

More information

Moving From Hadoop to Spark

Moving From Hadoop to Spark + Moving From Hadoop to Spark Sujee Maniyam Founder / Principal @ www.elephantscale.com sujee@elephantscale.com Bay Area ACM meetup (2015-02-23) + HI, Featured in Hadoop Weekly #109 + About Me : Sujee

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

Clodoaldo Barrera Chief Technical Strategist IBM System Storage. Making a successful transition to Software Defined Storage

Clodoaldo Barrera Chief Technical Strategist IBM System Storage. Making a successful transition to Software Defined Storage Clodoaldo Barrera Chief Technical Strategist IBM System Storage Making a successful transition to Software Defined Storage Open Server Summit Santa Clara Nov 2014 Data at the core of everything Data is

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

Virtualization. as a key enabler for Cloud OS vision. Vasily Malanin Datacenter Product Management Lead Microsoft APAC

Virtualization. as a key enabler for Cloud OS vision. Vasily Malanin Datacenter Product Management Lead Microsoft APAC Virtualization as a key enabler for Cloud OS vision Vasily Malanin Datacenter Product Management Lead Microsoft APAC Can I enable employees to work from anywhere? How can I evolve my business apps to

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

Oracle Database - Engineered for Innovation. Sedat Zencirci Teknoloji Satış Danışmanlığı Direktörü Türkiye ve Orta Asya

Oracle Database - Engineered for Innovation. Sedat Zencirci Teknoloji Satış Danışmanlığı Direktörü Türkiye ve Orta Asya Oracle Database - Engineered for Innovation Sedat Zencirci Teknoloji Satış Danışmanlığı Direktörü Türkiye ve Orta Asya Oracle Database 11g Release 2 Shipping since September 2009 11.2.0.3 Patch Set now

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

Massimiliano Belardi Linux su Mainframe 10 anni di esperienze con i clienti

Massimiliano Belardi Linux su Mainframe 10 anni di esperienze con i clienti Massimiliano Belardi Linux su Mainframe 10 anni di esperienze con i clienti Linux brings open innovation to all IBM server and storage system platforms, freeing datacenters from vendor lock-in with choice

More information

Introduction to Cloud Computing

Introduction to Cloud Computing Introduction to Cloud Computing Cloud Computing I (intro) 15 319, spring 2010 2 nd Lecture, Jan 14 th Majd F. Sakr Lecture Motivation General overview on cloud computing What is cloud computing Services

More information

SQL Server 2012 Performance White Paper

SQL Server 2012 Performance White Paper Published: April 2012 Applies to: SQL Server 2012 Copyright The information contained in this document represents the current view of Microsoft Corporation on the issues discussed as of the date of publication.

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

IBM Platform Computing Cloud Service Ready to use Platform LSF & Symphony clusters in the SoftLayer cloud

IBM Platform Computing Cloud Service Ready to use Platform LSF & Symphony clusters in the SoftLayer cloud IBM Platform Computing Cloud Service Ready to use Platform LSF & Symphony clusters in the SoftLayer cloud February 25, 2014 1 Agenda v Mapping clients needs to cloud technologies v Addressing your pain

More information

Table of Contents. Abstract. Cloud computing basics. The app economy. The API platform for the app economy

Table of Contents. Abstract. Cloud computing basics. The app economy. The API platform for the app economy Table of Contents Abstract Cloud computing basics The app economy The API platform for the app economy Your API platform: in the cloud or on premises? The cloud deployment model Cloud characteristics The

More information

Oracle Big Data SQL Technical Update

Oracle Big Data SQL Technical Update Oracle Big Data SQL Technical Update Jean-Pierre Dijcks Oracle Redwood City, CA, USA Keywords: Big Data, Hadoop, NoSQL Databases, Relational Databases, SQL, Security, Performance Introduction This technical

More information

Well packaged sets of preinstalled, integrated, and optimized software on select hardware in the form of engineered systems and appliances

Well packaged sets of preinstalled, integrated, and optimized software on select hardware in the form of engineered systems and appliances INSIGHT Oracle's All- Out Assault on the Big Data Market: Offering Hadoop, R, Cubes, and Scalable IMDB in Familiar Packages Carl W. Olofson IDC OPINION Global Headquarters: 5 Speen Street Framingham, MA

More information

EMC Federation Big Data Solutions. Copyright 2015 EMC Corporation. All rights reserved.

EMC Federation Big Data Solutions. Copyright 2015 EMC Corporation. All rights reserved. EMC Federation Big Data Solutions 1 Introduction to data analytics Federation offering 2 Traditional Analytics! Traditional type of data analysis, sometimes called Business Intelligence! Type of analytics

More information

Affordable, Scalable, Reliable OLTP in a Cloud and Big Data World: IBM DB2 purescale

Affordable, Scalable, Reliable OLTP in a Cloud and Big Data World: IBM DB2 purescale WHITE PAPER Affordable, Scalable, Reliable OLTP in a Cloud and Big Data World: IBM DB2 purescale Sponsored by: IBM Carl W. Olofson December 2014 IN THIS WHITE PAPER This white paper discusses the concept

More information

APPLICATION DELIVERY

APPLICATION DELIVERY RIVERBED DELIVERY THE FIRST DELIVERY CONTROLLER (ADC) DESIGNED FOR ANY CLOUD OR Greater flexibility VIRTUALIZED ENVIRONMENT GARTNER MAGIC QUADRANT RECOGNITION We re a Visionary in the 2012 Magic Quadrant

More information

SOLUTION BRIEF. Advanced ODBC and JDBC Access to Salesforce Data. www.datadirect.com

SOLUTION BRIEF. Advanced ODBC and JDBC Access to Salesforce Data. www.datadirect.com SOLUTION BRIEF Advanced ODBC and JDBC Access to Salesforce Data 2 CLOUD DATA ACCESS In the terrestrial world of enterprise computing, organizations depend on advanced JDBC and ODBC technologies to provide

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

SAP HANA PLATFORM Top Ten Questions for Choosing In-Memory Databases. Start Here

SAP HANA PLATFORM Top Ten Questions for Choosing In-Memory Databases. Start Here PLATFORM Top Ten Questions for Choosing In-Memory Databases Start Here PLATFORM Top Ten Questions for Choosing In-Memory Databases. Are my applications accelerated without manual intervention and tuning?.

More information

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 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

More information

Consolidated security management for mainframe clouds

Consolidated security management for mainframe clouds Security Thought Leadership White Paper February 2012 Consolidated security management for mainframe clouds Leveraging the mainframe as a security hub for cloud-computing environments 2 Consolidated security

More information

Oracle Public Cloud. Peter Schmidt Principal Sales Consultant Oracle Deutschland BV & CO KG

Oracle Public Cloud. Peter Schmidt Principal Sales Consultant Oracle Deutschland BV & CO KG Oracle Public Peter Schmidt Principal Sales Consultant Oracle Deutschland BV & CO KG The Promise Of Computing For Developers, IT Operations And Line of Business Developers Agility & Quality Latest Technology

More information

WebSphere Application Server - Introduction, Monitoring Tools, & Administration

WebSphere Application Server - Introduction, Monitoring Tools, & Administration WebSphere Application Server - Introduction, Monitoring Tools, & Administration presented by: Michael S. Pallos, MBA Senior Solution Architect IBM Certified Systems Expert: WebSphere MQ 5.2 e-business

More information

Accelerate Data Loading for Big Data Analytics Attunity Click-2-Load for HP Vertica

Accelerate Data Loading for Big Data Analytics Attunity Click-2-Load for HP Vertica Accelerate Data Loading for Big Data Analytics Attunity Click-2-Load for HP Vertica Menachem Brouk, Regional Director - EMEA Agenda» Attunity update» Solutions for : 1. Big Data Analytics 2. Live Reporting

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

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

G-Cloud Big Data Suite Powered by Pivotal. December 2014. G-Cloud. service definitions

G-Cloud Big Data Suite Powered by Pivotal. December 2014. G-Cloud. service definitions G-Cloud Big Data Suite Powered by Pivotal December 2014 G-Cloud service definitions TABLE OF CONTENTS Service Overview... 3 Business Need... 6 Our Approach... 7 Service Management... 7 Vendor Accreditations/Awards...

More information

PassGuide.C4070-623.36Questions

PassGuide.C4070-623.36Questions PassGuide.C4070-623.36Questions Number: C4070-623 Passing Score: 800 Time Limit: 120 min File Version: 4.7 http://www.gratisexam.com/ C4070-623 System z Cloud and Linux Solution Selling I 'm feeling proud

More information

Copyright 2012, Oracle and/or its affiliates. All rights reserved.

Copyright 2012, Oracle and/or its affiliates. All rights reserved. 1 Oracle Big Data Appliance Releases 2.5 and 3.0 Ralf Lange Global ISV & OEM Sales Agenda Quick Overview on BDA and its Positioning Product Details and Updates Security and Encryption New Hadoop Versions

More information

Analytics In the Cloud

Analytics In the Cloud Analytics In the Cloud 9 th September Presented by: Simon Porter Vice President MidMarket Sales Europe Disruptors are reinventing business processes and leading their industries with digital transformations

More information

How to Leverage Large Memory on z

How to Leverage Large Memory on z IBM System z How to Leverage Large Memory on z SHARE in Orlando August 10 th, 2015 Session 17878 Elpida Tzortzatos: elpida@us.ibm.com 2013 IBM Corporation Outline Large Memory Customer Value Example of

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

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

In-memory Tables Technology overview and solutions

In-memory Tables Technology overview and solutions In-memory Tables Technology overview and solutions My mainframe is my business. My business relies on MIPS. Verna Bartlett Head of Marketing Gary Weinhold Systems Analyst Agenda Introduction to in-memory

More information

The Journey to Cloud Computing: from experimentation to business reality

The Journey to Cloud Computing: from experimentation to business reality The Journey to Cloud Computing: from experimentation to business reality Judith Hurwitz, President Marcia Kaufman, COO Sponsored by IBM The Journey to Cloud Computing: from experimentation to business

More information

Driving Peak Performance. 2013 IBM Corporation

Driving Peak Performance. 2013 IBM Corporation Driving Peak Performance 1 Session 2: Driving Peak Performance Abstract We know you want the fastest performance possible for your deployments, and yet that relies on many choices across data storage,

More information

zenterprise The Ideal Platform For Smarter Computing Developing Hybrid Applications For zenterprise

zenterprise The Ideal Platform For Smarter Computing Developing Hybrid Applications For zenterprise zenterprise The Ideal Platform For Smarter Computing Developing Hybrid Applications For zenterprise Smarter Computing Is Redefining The Data Center Consolidate Infrastructure Optimize to data center Eliminate

More information

Optimizing Storage for Better TCO in Oracle Environments. Part 1: Management INFOSTOR. Executive Brief

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

More information

Cutting Through the Hype: Straight Talk About the Mainframe and Cloud Computing. Straight talk on cloud computing

Cutting Through the Hype: Straight Talk About the Mainframe and Cloud Computing. Straight talk on cloud computing Glenn Anderson, IBM Lab Services and Training Cutting Through the Hype: Straight Talk About the Mainframe and Cloud Computing Summer SHARE August 2014 Session 15593 Straight talk on cloud computing What

More information

Cognos8 Deployment Best Practices for Performance/Scalability. Barnaby Cole Practice Lead, Technical Services

Cognos8 Deployment Best Practices for Performance/Scalability. Barnaby Cole Practice Lead, Technical Services Cognos8 Deployment Best Practices for Performance/Scalability Barnaby Cole Practice Lead, Technical Services Agenda > Cognos 8 Architecture Overview > Cognos 8 Components > Load Balancing > Deployment

More information

ORACLE COHERENCE 12CR2

ORACLE COHERENCE 12CR2 ORACLE COHERENCE 12CR2 KEY FEATURES AND BENEFITS ORACLE COHERENCE IS THE #1 IN-MEMORY DATA GRID. KEY FEATURES Fault-tolerant in-memory distributed data caching and processing Persistence for fast recovery

More information

Clearing the Fog: Understanding z Systems Cloud Technology Options

Clearing the Fog: Understanding z Systems Cloud Technology Options Clearing the Fog: Understanding z Systems Cloud Technology Options Glenn Anderson IBM Lab Services and Training NewEra z Exchange March, 2016 Copyright IBM Corporation 2016. Technical University/Symposia

More information

TE's Analytics on Hadoop and SAP HANA Using SAP Vora

TE's Analytics on Hadoop and SAP HANA Using SAP Vora TE's Analytics on Hadoop and SAP HANA Using SAP Vora Naveen Narra Senior Manager TE Connectivity Santha Kumar Rajendran Enterprise Data Architect TE Balaji Krishna - Director, SAP HANA Product Mgmt. -

More information

Real-Time Analytics for Big Market Data with XAP In-Memory Computing

Real-Time Analytics for Big Market Data with XAP In-Memory Computing Real-Time Analytics for Big Market Data with XAP In-Memory Computing March 2015 Real Time Analytics for Big Market Data Table of Contents Introduction 03 Main Industry Challenges....04 Achieving Real-Time

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

Software-Defined Networks Powered by VellOS

Software-Defined Networks Powered by VellOS WHITE PAPER Software-Defined Networks Powered by VellOS Agile, Flexible Networking for Distributed Applications Vello s SDN enables a low-latency, programmable solution resulting in a faster and more flexible

More information

Elastic Application Platform for Market Data Real-Time Analytics. for E-Commerce

Elastic Application Platform for Market Data Real-Time Analytics. for E-Commerce Elastic Application Platform for Market Data Real-Time Analytics Can you deliver real-time pricing, on high-speed market data, for real-time critical for E-Commerce decisions? Market Data Analytics applications

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

Cloud Service Provider Builds Cost-Effective Storage Solution to Support Business Growth

Cloud Service Provider Builds Cost-Effective Storage Solution to Support Business Growth Cloud Service Provider Builds Cost-Effective Storage Solution to Support Business Growth Overview Country or Region: United States Industry: Hosting Customer Profile Headquartered in Overland Park, Kansas,

More information

An Oracle White Paper May 2011. Oracle Tuxedo: An Enterprise Platform for Dynamic Languages

An Oracle White Paper May 2011. Oracle Tuxedo: An Enterprise Platform for Dynamic Languages An Oracle White Paper May 2011 Oracle Tuxedo: An Enterprise Platform for Dynamic Languages Introduction Dynamic languages, also sometimes known as scripting languages, have been in existence for a long

More information

Manjrasoft Market Oriented Cloud Computing Platform

Manjrasoft Market Oriented Cloud Computing Platform Manjrasoft Market Oriented Cloud Computing Platform Aneka Aneka is a market oriented Cloud development and management platform with rapid application development and workload distribution capabilities.

More information

Datamation. Find the Right Cloud Computing Solution. Executive Brief. In This Paper

Datamation. Find the Right Cloud Computing Solution. Executive Brief. In This Paper Find the Right Cloud Computing Solution In This Paper There are three main cloud computing deployment models: private, public, and hybrid The true value of the cloud is achieved when the services it delivers

More information

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 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

More information

Modern workstyle, enabled

Modern workstyle, enabled Modern workstyle, enabled Windows Server 2012 R2 Overview Windows Server powers many of the worlds largest datacenters, enables small businesses around the world, and delivers value to organizations of

More information

The Impact of PaaS on Business Transformation

The Impact of PaaS on Business Transformation The Impact of PaaS on Business Transformation September 2014 Chris McCarthy Sr. Vice President Information Technology 1 Legacy Technology Silos Opportunities Business units Infrastructure Provisioning

More information

Enabling Database-as-a-Service (DBaaS) within Enterprises or Cloud Offerings

Enabling Database-as-a-Service (DBaaS) within Enterprises or Cloud Offerings Solution Brief Enabling Database-as-a-Service (DBaaS) within Enterprises or Cloud Offerings Introduction Accelerating time to market, increasing IT agility to enable business strategies, and improving

More information

It s Not Public Versus Private Clouds - It s the Right Infrastructure at the Right Time With the IBM Systems and Storage Portfolio

It s Not Public Versus Private Clouds - It s the Right Infrastructure at the Right Time With the IBM Systems and Storage Portfolio White Paper - It s the Right Infrastructure at the Right Time With the IBM Systems and Storage Portfolio Contents Executive Summary....2 Introduction....3 Private clouds - Powerful tech, new solutions....3

More information

Building the perfect cloud with IBM System z

Building the perfect cloud with IBM System z IBM Systems and Technology Thought Leadership White Paper June 2011 Building the perfect cloud with IBM System z A cloud computing platform that leverages the strengths of industry-leading mainframe technology

More information

IBM Tivoli Composite Application Manager for WebSphere

IBM Tivoli Composite Application Manager for WebSphere Meet the challenges of managing composite applications IBM Tivoli Composite Application Manager for WebSphere Highlights Simplify management throughout the life cycle of complex IBM WebSphere-based J2EE

More information

INDUSTRY BRIEF DATA CONSOLIDATION AND MULTI-TENANCY IN FINANCIAL SERVICES

INDUSTRY BRIEF DATA CONSOLIDATION AND MULTI-TENANCY IN FINANCIAL SERVICES INDUSTRY BRIEF DATA CONSOLIDATION AND MULTI-TENANCY IN FINANCIAL SERVICES Data Consolidation and Multi-Tenancy in Financial Services CLOUDERA INDUSTRY BRIEF 2 Table of Contents Introduction 3 Security

More information

Why DBMSs Matter More than Ever in the Big Data Era

Why DBMSs Matter More than Ever in the Big Data Era E-PAPER FEBRUARY 2014 Why DBMSs Matter More than Ever in the Big Data Era Having the right database infrastructure can make or break big data analytics projects. TW_1401138 Big data has become big news

More information

Einsatzfelder von IBM PureData Systems und Ihre Vorteile.

Einsatzfelder von IBM PureData Systems und Ihre Vorteile. Einsatzfelder von IBM PureData Systems und Ihre Vorteile demirkaya@de.ibm.com Agenda Information technology challenges PureSystems and PureData introduction PureData for Transactions PureData for Analytics

More information

IBM Cloud TechTalks (Part 4 of 4):

IBM Cloud TechTalks (Part 4 of 4): IBM Cloud TechTalks (Part 4 of 4): Maximizing Business Agility with Cloud on a z System November 12 th 2015 IBM Corporation IBM Corporation 2 IBM Corporation 3 IBM Corporation 4 Challenging the Perception

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

Adabas und Natural für das Digitale Unternehmen

Adabas und Natural für das Digitale Unternehmen Adabas und Natural für das Digitale Unternehmen Innovation Day 2014, Bonn Guido Falkenberg Enterprise Transaction Systems Software AG The world becomes more digital 2 The impact of a world that becomes

More information

Accelerating Hadoop MapReduce Using an In-Memory Data Grid

Accelerating Hadoop MapReduce Using an In-Memory Data Grid Accelerating Hadoop MapReduce Using an In-Memory Data Grid By David L. Brinker and William L. Bain, ScaleOut Software, Inc. 2013 ScaleOut Software, Inc. 12/27/2012 H adoop has been widely embraced for

More information

Implement Hadoop jobs to extract business value from large and varied data sets

Implement Hadoop jobs to extract business value from large and varied data sets Hadoop Development for Big Data Solutions: Hands-On You Will Learn How To: Implement Hadoop jobs to extract business value from large and varied data sets Write, customize and deploy MapReduce jobs to

More information

BROCADE PERFORMANCE MANAGEMENT SOLUTIONS

BROCADE PERFORMANCE MANAGEMENT SOLUTIONS Data Sheet BROCADE PERFORMANCE MANAGEMENT SOLUTIONS SOLUTIONS Managing and Optimizing the Performance of Mainframe Storage Environments HIGHLIGHTs Manage and optimize mainframe storage performance, while

More information

Oracle s Cloud Computing Strategy

Oracle s Cloud Computing Strategy Oracle s Cloud Computing Strategy Your Strategy, Your Cloud, Your Choice Sandra Cheevers Senior Principal Product Director Cloud Product Marketing Steve Lemme Director, Cloud Builder Specialization Oracle

More information

DevOps for the Mainframe

DevOps for the Mainframe DevOps for the Mainframe Rosalind Radcliffe IBM Distinguished Engineer, Enterprise Modernization Solution Architect rradclif@us.ibm.com 1 Please note IBM s statements regarding its plans, directions, and

More information

Focus on the business, not the business of data warehousing!

Focus on the business, not the business of data warehousing! Focus on the business, not the business of data warehousing! Adam M. Ronthal Technical Product Marketing and Strategy Big Data, Cloud, and Appliances @ARonthal 1 Disclaimer Copyright IBM Corporation 2014.

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

IBM MobileFirst Hands-on Labs environment with Linux on z Systems and z/os

IBM MobileFirst Hands-on Labs environment with Linux on z Systems and z/os IBM MobileFirst Hands-on Labs environment with Linux on z Systems and z/os Session Nr: 16772 + 16773 Wilhelm Mild Executive IT Architect wilhelm.mild@de.ibm.com Erich Amrehn Distinguished Engineer amrehn@de.ibm.com

More information

Optimize workloads to achieve success with cloud and big data

Optimize workloads to achieve success with cloud and big data IBM Software Thought Leadership White Paper December 2012 Optimize workloads to achieve success with cloud and big data Intelligent, integrated, cloud-enabled workload automation can improve agility and

More information

Oracle Database 12c Plug In. Switch On. Get SMART.

Oracle Database 12c Plug In. Switch On. Get SMART. Oracle Database 12c Plug In. Switch On. Get SMART. Duncan Harvey Head of Core Technology, Oracle EMEA March 2015 Safe Harbor Statement The following is intended to outline our general product direction.

More information

Scaling Healthcare Applications to Meet Rising Challenges of Healthcare IT

Scaling Healthcare Applications to Meet Rising Challenges of Healthcare IT Scaling Healthcare Applications to Meet Rising Challenges of Healthcare IT December 2013 Copyright 2013 GigaSpaces. All Rights Reserved. Healthcare IT has entered the era of Big Data. Are your applications

More information

BigMemory: Providing competitive advantage through in-memory data management

BigMemory: Providing competitive advantage through in-memory data management BUSINESS WHITE PAPER : Providing competitive advantage through in-memory data management : Ultra-fast RAM + big data = business power TABLE OF CONTENTS 1 Introduction 2 : two ways to drive real-time big

More information