The Next Generation Architecture: In-Memory Computing - Gartner

The Next Generation Architecture: In-Memory Computing Massimo PezziniThis presentation, including any supporting materials, is owned by Gartner, Inc. and/or its affiliates and is for the sole use of the intended Gartner audience or otherauthorized recipients. This presentation may contain information that is confidential, proprietary or otherwise legally protected, and it may not be further copied,distributed or publicly displayed without the express written permission of Gartner, Inc. or its affiliates.© 2011 Gartner, Inc. and/or its affiliates. All rights reserved.

What Is In-Memory Computing? Facts• 64-bit processors can address up to 16 exabytes of data• DRAM prices drop by 30% every 18 months• 1Gb of NAND flash memory average price is US$0.84*• Commodity blades provide 1 terabyte of DRAM• Multicore CPUs enable parallel processing of in-memory data• In-memory-enabling software is available! In-Memory ComputingA computing style by which it can be assumed that:• The primary data store is in-memory ("RAM is the new disk")• Data access latency is negligible• Terabyte-size datasets can be stored in the computer RAM• Spinning disk is "the new tape" (overflow, recovery)* = per Gartners "Weekly Memory Pricing Index, 9 September 2011"

Myths and Facts About In-MemoryComputing Myths Facts“In-memory is just hype All major software vendorsspread by SAP” deliver in memory technology“It’s new and unproven It has been around since latetechnology” 1990s.“It’s solely about running It’s widely used for transactionanalytics faster” and event processing as well“It’s incremental and non Prediction: In-memory will havedisruptive” an industry impact comparable to web and cloud

In-Memory Computing Opportunities Incremental • Reducing applications running cost via data base/legacy applications offloading • Improving transactional applications performance and scalability Business Impact • Boosting response time in analytical applications • Low latency (<1 microsec) application messaging • Dramatically shortening batch processes execution-time • Enabling real-time, "self-service" business intelligence • Detecting correlations/patterns across million of events in "a blink of an eye" • Running transactional and analytical applications on the same physical datasetTransformational

Gartner Taxonomy of "In-MemoryComputing" Technologies In-Memory-Enabled Applications In-Memory Application Platforms In-Memory Event-Processing In-Memory Analytics Platforms Application Server In-Memory Data Management In-Memory (Low Latency) IM DBMS IM Data Grid Messaging Memory "Intensive" Computing Platform (DRAM, Flash, SSD, Multicore, InfiniBand, Clusters, Grid, Cloud)

In-Memory DBMS Applications (Analytical, Transactional) Capabilities • Full-function DBMS (e.g., SQL) managing in-memory data • 10 to 20 times fasterTransaction SQL APIs than traditional "on Log DBMS Runtime disk" DBMS Replication In-memory DB Previously Check- Unthinkable Apps Point • Order of magnitude faster analytics On-Disk • Hybrid DB analytical/transactional applications

Different Types of In-Memory DBMSs SQL APIs • Transaction/interaction-focused: DBMS Runtime - Streaming for machine-generatedTransaction Log and other high-speed data - Row stores — newly emerging for high-performance OLTP • Analytics-focused: In-Memory DB - Column stores — strong recent Check Point adoption, compression a plus • Mixed workload On-Disk DB Moving disk blocks into memory does not create an IMDBMS, although it will improve performance somewhat.

In-Memory Analytics Capabilities • In-memory detailed data for fast query and Web calculation Mobile • No need (in theory) to Rich Client Query Language/Presentation build aggregates and precalculated cubes Data Aggregation In-Memory Data StorePersistent Store Previously Unthinkable Apps • "Self-service" analytics • Intuitive and RDBMS unconstrained data SaaS Applications exploration • Instant visualization of complex datasets

Apply IMC to Previously Un-SolvableAnalytical Problems Level of Business Impact Modeling by Quants Skill Impact Modeling for the Masses What Why Did It What Is What Is Likely Happened? Happen? Happening? to Happen? Reporting, Data Real-Time Dashboards Mining Analytics Predictability RDBMS In-Memory DBMS Reporting-Centric Pattern Matching Pattern Recognition Caching Distributed In-Memory Data Grid Messaging Low-Latency Messaging

IMC Impact on Industries Advertising Military Banking Online gaming/entertainment Capital markets Retail Energies and utilities SaaS High Intelligence Telecom Transportation/logistics Web commerce Media Automobile Central government CPG Healthcare Medium Insurance Manufacturing Pharma Construction Education Low Engineering Local government Mining

IMC Adoption and Maturity Maturity 100% Level of Adoption 65% Adolescent Mature Mainstream 35% Early mainstream 7% 0% 2011 2016 2021+ 2011 2016 2021 Current Non Adoption Risk* Low + High *On High Impact Industry

Focus Your Investigation of In-Memory Computing on New Applications Benefit: Increase Revenue High Improve Margin Increase Retention Benefit: Process Efficiency Benefit: Increased Flexibility Reduce Costs Revenue/Margin ImproveBusiness Performance and Scalability New Apps to Value Initial Solve Hard Refactor/Replace RunSweet Spot Problems Apps Designed Existing Apps on For In-Memory Low In-Memory Low High Change Complexity/ Risk

Use the Pace-Layered ApplicationStrategy to Identify the Best Pilot Projects New Change Ideas The GameBetter Systems of Innovation AccelerateIdeas Action Systems of DifferentiationCommon Lower Cost Ideas Systems of Record

What will be the “Killer Applications” forIn-memory? • Online Gaming • Software-as-a-Service • Risk Management • Fraud Detection • Algorithmic Trading • Global Web Commerce • Ad hoc analysis/Pivoting • “What-If” Analysis • Security Intelligence • Profitability Analysis • Inventory Forecasting • Supply Chain Tracking • Service Delivery • Telecom/Media Revenue Leakage • Sales Incentive Promotions Management • Airlines/Railways/Fleets Operations Management • Intelligent Metering/Intelligent Grid Operations • .... and many more to be discovered

Action Plan for Application LeadersMonday Morning - Task one of your enterprise technology architects with the goal of holistically exploring the opportunities of in-memory technologyYour Next 90 Days - Consider in-memory DBMS to dramatically improve performance of your analytical applications. - Evaluate in-memory analytics platforms to support real-time, self- service business intelligence requirementsYour Next 12 Months - Brainstorm with business leaders about the "unthinkable applications" that can deliver a business breakthrough for your organization

Related Gartner Research Top 10 Strategic Technology Trends: In-Memory Computing Massimo Pezzini, Carl Claunch, Joseph Unsworth (G00230658) Insight: Invest in In-Memory Computing for Breakthrough Competitive Advantage Massimo Pezzini (G00226070) What CIOs Need to Know About In-Memory Database Management Systems Roxane Edjlali, Donald Feinberg (G00215735) Need for Speed Powers In-Memory Business Intelligence James Richardson (G00212168) Predicts 2012: Cloud and In-Memory Drive Innovation in Application Platforms Massimo Pezzini, Yefim Natis, Eric Knipp (G00226073)

The Next Generation Architecture: In-Memory Computing Massimo PezziniThis presentation, including any supporting materials, is owned by Gartner, Inc. and/or its affiliates and is for the sole use of the intended Gartner audience or otherauthorized recipients. This presentation may contain information that is confidential, proprietary or otherwise legally protected, and it may not be further copied,distributed or publicly displayed without the express written permission of Gartner, Inc. or its affiliates.© 2011 Gartner, Inc. and/or its affiliates. All rights reserved.

http://computerworld.nl	1527
http://mobile.computerworld.nl	151
https://twitter.com	21
http://admin.computerworld.nl	21
http://tweetedtimes.com	1

The Next Generation Architecture: In-Memory Computing - Gartner

by SAP Nederland

Accessibility

Categories

Upload Details

Usage Rights

5 Embeds 1,721

Statistics

The Next Generation Architecture: In-Memory Computing - Gartner Presentation Transcript