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DBCS Office Hours - Modernization through Migration

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DBCS Office Hours - Modernization through Migration

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Speakers:
Kiran Tailor - Cloud Migration Director, Oracle
Kevin Lief – Partnership and Alliances Manager - (EMEA), Advanced



Modernisation of mainframe and other legacy systems allows organizations to capitalise on existing assets as they move toward more agile, cost-effective and open technology environments. Do you have legacy applications and databases that you could modernise with Oracle, allowing you to apply cutting edge technologies, like machine learning, or BI for deeper insights about customers or products? Come to this webcast to learn about all this and how Advanced can help to get you on the path to modernisation.
AskTOM Office Hours offers free, open Q&A sessions with Oracle Database experts. Join us to get answers to all your questions about Oracle Database Cloud Service.

Speakers:
Kiran Tailor - Cloud Migration Director, Oracle
Kevin Lief – Partnership and Alliances Manager - (EMEA), Advanced



Modernisation of mainframe and other legacy systems allows organizations to capitalise on existing assets as they move toward more agile, cost-effective and open technology environments. Do you have legacy applications and databases that you could modernise with Oracle, allowing you to apply cutting edge technologies, like machine learning, or BI for deeper insights about customers or products? Come to this webcast to learn about all this and how Advanced can help to get you on the path to modernisation.
AskTOM Office Hours offers free, open Q&A sessions with Oracle Database experts. Join us to get answers to all your questions about Oracle Database Cloud Service.

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DBCS Office Hours - Modernization through Migration

  1. 1. KiranTailor Cloud Migration Director Database Product Management Modernisation through Migration 1 Copyright © 2019 Oracle and/or its affiliates
  2. 2. Safe harbor statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing, and pricing of any features or functionality described for Oracle’s products may change and remains at the sole discretion of Oracle Corporation. 2 Copyright © 2019 Oracle and/or its affiliates
  3. 3. Agenda Copyright © 2019 Oracle and/or its affiliates3 1. Introductions 2. Platform Migration Group 3. Why Migrate? 4. Why Oracle? 5. Advanced 6. Customer Stories
  4. 4. Who Am I Copyright © 2019 Oracle and/or its affiliates4 • KiranTailor, Cloud Migration Director  Platform Migration Group, Database Product Management  Specialising in Oracle BI/DW & Oracle DB  Over 18 years Experience OracleTechnology  Oracle Ace Alumni  Speaker (UK,US,Germany,Poland,Ireland) • @iamkirantailor
  5. 5. Platform Migrations Group Oracle R&D SMEs that specialize in competitive and legacy migrations Have extensive “hands on” experience with migration projects Worked with hundreds of Oracle clients to help them modernize their legacy systems Conduct “no charge” assessments to build modernization roadmaps for clients Recommend migration strategies Conduct discovery sessions to analyze legacy application portfolios Provide education on approaches, best practices and customer examples Recommend Oracle product technologies to accelerate migration Reduces risk and cost of the migration project Deliver best practices based on client timelines, budget and risk tolerance Leverage code and/or data in migration projects to reduce project risk and timeframe Recommend phased and “quick hit” approaches that can reduce migration costs Accelerate migration projects with engineering expertise Conduct ongoing project and technical review throughout migration project Work closely with Oracle product management teams Conduct pilots and proof of concepts Scoping/Analysis Migration TestingUser Acceptance Deployment
  6. 6. PMG Objective: Transform Analyze Portfolio “Best Fit” Approaches DiscoveryEvaluate Code MigrateIBM Mainframe Oracle Tribal Knowledge Transform AS/400 Teradata
  7. 7. Why Migrate? Copyright © 2019 Oracle and/or its affiliates7
  8. 8. Copyright © 2019 Oracle and/or its affiliates8 Emerging Technologies Are Creating New Opportunities Artificial Intelligence / Machine Learning Blockchain Autonomous Software IoT Human Interface
  9. 9. Copyright © 2019 Oracle and/or its affiliates9 Why migrate: Competition • Disruptive models like Uber and Netflix challenge incumbent players • Legacy technology can kill entrepreneurial mindset driven by acquisition and market drivers • Upstart competitors not typically adopting mainframes • IBM Sales plunged in 2013 — mainframes fell 37% and high-end Power servers fell 31% 1 • Competition embracing big data and dynamic compute models • Hard and expensive to get “big data” out of legacy environments
  10. 10. Copyright © 2019 Oracle and/or its affiliates10 Why migrate: Staff Retirement • 10,000+ boomers retiring a day 1 • And with IT they leave with both business and technical knowledge • Legacy operations staff and SMEs are harder to find • You can build “legacy” programmers, but developers are only a small part of the equation • Convincing Millennials to work on legacy applications viewed as “soul crushing….” • Systems integrators are also having problems retaining “best and brightest” on older systems
  11. 11. Copyright © 2019 Oracle and/or its affiliates11 Why migrate: Cost • Legacy platforms are typically the highest cost per transaction within IT • “Victim of success” model • Increase in business = increase in legacy = much higher IT cost • Migrating to cloud technology typically lowers operations cost by 50% to 80%+ • DR environments can be reduced by 90%+ • Reuse and innovation in the migration process can drive down cost of migration
  12. 12. Why Oracle? Copyright © 2019 Oracle and/or its affiliates12
  13. 13. Database Complexity Has Steadily Increased • Mission critical databases have been complex for decades • Meeting the needs of data-driven enterprises made databases more complex • Real-time analytics • Scale-out transparently to handle any load • Optimized database infrastructure • Zero downtime updates • Decades of automation plus the addition of cloud and machine learning have now enabled Oracle to eliminate database management complexity 13 Copyright © 2019 Oracle and/or its affiliates
  14. 14. • Automatic Query Rewrite • Automatic Undo Management • Autonomous Health Framework • Automatic Diagnostic Framework • Automatic Refresh of Clones • Automatic SQLTuning • AutomaticWorkload Capture/Replay • Automatic SQL Plan Management • Automatic Capture of SQL Monitor • Automatic Data Optimization • Automatic Memory Management • Automatic Segment Space Mgmt • Automatic StatisticsGathering • Automatic Storage Management • AutomaticWorkload Repository • Automatic Diagnostic Monitor • Automatic Columnar Flash • Automatic IM population • AutomaticApplication Continuity 9i 10g 11g 12c 18c • Automatic Indexes • SQL Quarantine • Real-Time Statistics 19c Leverage over 20 Years of Oracle Database R&D Copyright © 1995, 2019, Oracle. All rights reserved. - CONFIDENTIAL
  15. 15. Oracle Cloud Automated Data Center Operations and Machine Learning Complete Infrastructure Automation Complete Database Automation Autonomous Database Completes the Job Eliminates All the Complexity of Mission Critical Databases 15 ORACLE AUTONOMOUS DATABASE
  16. 16. BusinessAgility and Efficiency stay competitive with instant self service database technology Workforce Management as workforce evolves, mitigate loss of skilled technologists Data Assets Security Protection mitigate risk of data breach, privacy a top concern globally Cost and Risk Reduction obtain operational excellence thru software automation Strategic Advantage of Autonomous Database Services
  17. 17. Next Generation Analytic Apps • New in-memory columnar formats and columnar processing enable Analytics to transparently run 10x faster • No app changes needed, trivial to deploy • Use in DataWarehouse • Or combine with row format for fastest analytics and OLTP on same database Memory Memory SALES SALES Row Format Column Format SALES
  18. 18. 18 Data Driven Apps Use Machine Learning • Oracle makes it easy to use Machine Learning to make Data-Driven Business Predictions • Real-time recommendations, fraud-detection, sentiment analysis, etc. • Over 30 in-database parallel ML algorithms including deep-learning • Call from SQL in OLTP and DW, or extend with external Python and R • Database 20c: AutoML enables ML for non-experts • Automatically finds predictive features and builds high quality models • Previously a priced option, now FREE in all Oracle Database Editions Machine Learning Made Easy
  19. 19. 19 Over 20 Years of Machine Learning and Data Mining Innovation CLASSIFICATION Naïve Bayes Logistic Regression (GLM) Decision Tree Random Forest Neural Network Support Vector Machine (SVM) Explicit Semantic Analysis CLUSTERING Hierarchical K-Means Hierarchical O-Cluster Expectation Maximization (EM) TIME SERIES Forecasting - Exponential Smoothing Includes popular models e.g. Holt-Winters with trends, seasonality, irregularity, missing data ANOMALY DETECTION One-Class SVM REGRESSION Linear Model Generalized Linear Model (GLM) Support Vector Machine (SVM) Stepwise Linear regression Neural Network LASSO ATTRIBUTE IMPORTANCE Minimum Description Length Principal Component Analysis (PCA) Unsupervised Pair-wise KL Div CUR decomposition for row & AI SQL ANALYTICS SQL Windows, Patterns, Aggregates ASSOCIATION RULES A priori/ market basket PREDICTIVE QUERIES Predict, cluster, detect, features FEATURE EXTRACTION Principal Comp Analysis (PCA) Non-negative Matrix Factorization Singular Value Decomposition (SVD) Explicit Semantic Analysis (ESA) TEXT ANALYSIS Sentiment Analysis Algorithms support text columns Tokenization and theme extraction Explicit Semantic Analysis (ESA) for document similarity STATISTICAL FUNCTIONS Basic statistics: min, max, median, stdev, t-test, F-test, Pearson’s, Chi-Sq, ANOVA, etc. R AND PYTHON PACKAGES Third-party R and Python Packages through Embedded Execution Spark MLlib algorithm integration Machine Learning for Business Data
  20. 20. Copyright © 2019 Oracle and/or its affiliates20 • Industry leading low code app dev platform • Easy to learn and get started • SQL and REST friendly • Build responsive & mobile apps • Included (free) with all Oracle Databases • Part ofAlways Free Oracle Cloud • Global success stories across all industries • Loved by 500K+ developer community Oracle APEX 20x faster with 100x less code
  21. 21. LOB does not have to be retrained • Logic workflow is the same • Screen flow remains the same OLTP Data can be leveraged “in-place” • Business intelligence can be run on same data store • Eliminate data movement, loss of data, delay of replication Security and Compliance • All data can be encrypted at rest using transparent data encryption • Ability to leverage security updates to ensure data is not vulnerable to attack Business Benefits Copyright © 1995, 2019, Oracle. All rights reserved. - CONFIDENTIAL Move to Autonomous databases • Leverage autonomous capabilities • Improved data agility • Moves flat file data to relational • Managed by SLAs, not DBAs Move to “Real Time Enterprise” • Batch jobs can be run adhoc – no longer wait for “batch window” • Reports run substantially faster ORACLE AUTONOMOUS DATABASE High ROI and value approach • 50 – 90% Opex benefits • Great ROI to risk ratio
  22. 22. Copyright © 2019 Oracle and/or its affiliates22 Oracle and AdvancedTransformation Advantages Highly Automated Migration technology Leverages specifications from the existing code Preserves workflow of existing application LOB users do not have to be retrained, reuse of existing business rules Avoids impact and risk of ”full rewrite” Generates maintainable code and architecture Significantly reduces cost of modernization Reduces cost of mainframe platform by eliminating mainframe Mips Application will benefit from agile DevOps and cloud Generates maintainable code and cloud ready architecture 2
  23. 23. Advanced Copyright © 2019 Oracle and/or its affiliates23
  24. 24. 2424 Advanced > Application Modernisation Team Oracle as your Migration Destination 5 May 2020 Kevin Lief – Partner and Alliances Manager (EMEA)
  25. 25. 2525 Advanced At A Glance Founded in 1983 …. grown to 2800+ staff. GBP 260M Annual Revenue.. 3rd Largest Software and Services supplier in UK. VC acquired in 2015 for GBP 750M. Sold in 2019 to Vista Equity / BC Partners for GBP 2Bn 2 Main Divisions: Software and Cloud / IT Services Software Division: Acquired #1 or #2 market solutions in our key verticals: Health & Care, Legal, Commercial (Fin. Services, Manufacturing, Sports/Leisure, etc.), Education, Not For Profit. Also acquired key Line Of Business solutions (HR, Finance, Spend Mgt and Field Service).
  26. 26. 2626 Advanced - Cloud / IT Services Division At A Glance GBP 72M in annual revenue. 800 staff (including contractors). Certified Partner with AWS, Microsoft and others. Full range of Managed Service offerings Public / Private / Hybrid Cloud Office 365 (Microsoft Cloud Solution Provider / CSP) Hosting / IT Outsourcing Cyber Security / Compliance / End User Compute / Device + Identity Management SharePoint / Dynamics / Azure Mainframe Migration / Application Modernisation Team “(App Mod” Team)
  27. 27. 27 Where We Are Advanced + Partner Confidential Ashford Barnstable Belfast Castleford Datchet Dublin Gateshead Leeds London Knutsford Mailbox Willerby Atlanta Austin Bucharest Charlotte Chicago Dallas Madrid Phoenix Toronto Tel Aviv Rochester San Diego Rome Gandhinagar Baroda Bangalore Melbourne
  28. 28. 2828 Application Modernisation
  29. 29. 2929 Advanced “App Mod Team” track record … 500+ Successful Projects 2.5+ Billion Lines of Code 35+ Years of Experience
  30. 30. 3030 Customer Success EDUCATION GLOBAL STATE/GOVERNMENT ENTITIESAUTOMOTIVE AND AEROSPACE FINANCIAL SERVICES INSURANCE MEDIA AND COMMUNICATIONS ENERGY AND UTILITIES GLOBAL RETAILERS TECHNOLOGY SERVICES LOGISTICS Sweden
  31. 31. 3131 Application and data modernisation capabilities Options on and off the mainframe Mainframe (IBM z/OS, Fujitsu VME, HP OpenVMS) CICS IMS TM DB2 VSAM IMS DB Adabas IDMS/DB IDMSX Others Batch IDMS/DC COMPLETE COBOL PL/I REXX JCL Natural CA Gen ADS/O CLIST VisualAge Gen Fortran FOCUS SAS DYL280 IdealAssembler Easytrieve Easytrieve Plus Telon C/C++ Others BMS MFS Natural Maps IDMS Screens Others TPMS Modernisation on the mainframe Modernisation off the mainframe (to on- premises or cloud)
  32. 32. Advanced’ Modernization Phases Technical & business feasibility Automated Application Assessment Operational & Infrastructure Assessment Automated Database & Data Conversion Automated Application Conversion Operational & Infrastructure Implementation Testing Go-live / Deployment Post- Implementation Support Ongoing Project / Test Management and Consultancy Leveraging automated solutions with a collaborative, proven process Discover Assess and Design Transform SupportTest and Deploy
  33. 33. 3333 Why modernize? • Simplify operations, reduce maintenance costs • Shift spend from maintenance to innovation • Increase agility to meet market demands • Meet regulatory compliance and security • Balance quality, cost, service and access • Drive innovation while wrestling with brittle legacy systems • Do more with less, legacy platforms are expensive to maintain • Address skills gap – especially around operations • Reduce portfolio complexity • Increase performance and scalability Modernize and Simplify Environment to better meet business goals Outcomes Future-ready technologies Cloud-enabled Application elasticity Business agility Reduced operating costs Improved security Open, scalable infrastructure IT challenges Business challenges Digital transformation ADVANCED + AWS CONFIDENTIAL
  34. 34. Re-engineer Modernization Strategies 34 Convert Rehost Keep the functionality. Change the language. Leave/keep the mainframe. Go relational. Keep the current language. Leave the mainframe. Go relational. Change the functionality. Change the language. Leave/keep the mainframe. Go relational. Replace Buy a package. Leave/keep the mainframe. Go relational. Strategic Roadmap What are the business requirements? Where do we start? What are our options??
  35. 35. 3535 Customer Success Stories Oracle as the Destination …
  36. 36. 3636 Banking Modernisation Business Area • Foreign Exchange Back-end handles a significant portion of the foreign currency exchanges Overview • Working together to transform the application to conform to Deutsche Bank system standards and increase its sustainability • Application Understanding to identify technology debt and improve supportability • Application Integration to update interface to foreign exchange front-end • Data Services to update database technologies • Large multi-year application modernization project: • Migration to Linux & Oracle • Reengineering technology debt Engagement Type • Application Understanding • Application Integration • Data Services • Application Modernization
  37. 37. 3737 DWP - Transformation Technology • Mainframe to RHE Linux • COBOL, to COBOL, Tuxedo • IDMS DB TO Oracle Overview DWP – UK’s largest Government Agency • 4th largest workload in central government • Applications ‘National Critical Assets’ Tranche One • Application 1 (WFPS) migrated to Linux and live Tranche Two • Completed Analysis & Design for further 8 Applications JSAPS, SFCS, PSCS, ISCS, WPCS, DLACS, IICS, FAMIS+ • Currently completing first phase of 2 projects - Applications SFCS & WPCS • Complex/multi-vendor supply chain • Migration – complex and large scale multi-year Results • Advanced trusted supplier status • All business logic retained • Staff able to maintain expertise
  38. 38. • Source Database: Adabas (50 files) • Target Database: Oracle • Source Language: COBOL (6K programs, 17M LOC), 3K+ JCL jobs • Target Language Java • Target Platform: Linux • Replatform project of COBOL and Adabas based eTIMS® proprietary violations management solution from z/OS to Linux • Ensure the functional equivalency of the new systems retained that of the old system • Improved business agility and reduction of support costs • More agile target architecture, with increased operational efficiency • Ability for clients to leverage the cloud and offer flexible environment options Project details Technology environment Project results Conduent Inc. is a technology-led Digital Platforms and Services company. It was formed in 2017 as a divestiture from Xerox. Project goals included improving business agility and reduction of support costs – all while ensuring the functional equivalency of the new systems retained that of the old system. As a result of the project, Conduent now has a more agile architecture, with increased operational efficiency of its core applications, allowing it to better service the needs of its own clients. Conduent – IT Services Provider
  39. 39. 3939 Questions? Thank You for your time!
  40. 40. Thank You • Contact PMG team • KiranTailor , kiran.tailor@oracle.com • Start discovery and roadmap process…

Hinweis der Redaktion

  • Make analogies to the war on Cancer that has been stuck for decades but is finally making significant progress
  • Make analogies to the war on Cancer that has been stuck for decades but is finally making significant progress
  • We Work within the R&D Area, getting engaged with our field teams in assisting our customers with solutions to there problems.

    From using our products and taking what we have done, we provide best practices and approaches in these competitive and legacy migrations. Sometimes this is enhancements to our product development.

    Another key here is with this knowledge we can provide fast migration proposals with reduced cost and risk.
  • Using our own applications and tools we can help migrate many distributed databases to Oracle, whether that is Autonomous, Exadata or a simple Oracle Database on Linux.

    If we look at mainframes we can, Migrate applications by replicating software environments on other platforms (e.g. CICS, VSAM, JCL, etc.) that are lower cost
    Is non-invasive; does not require application change allowing easy move to more cost effective platforms
  • We offer our database in a number of ways. Lets have a look at them.
  • What do we want from our databases now.


  • Starting in Oracle Database 9i we began to introduced and matured many sophisticated automation capabilities from memory management to workload monitoring and tuning, all of which are used in the autonomous database.
  • The Oracle Cloud allows us to complete the journey to the autonomous database as it is the integration of our complete infrastructure automation with Oracle Database, and our fully automated data center operations. Automated data center operations include:
    Provisioning, Patching, upgrading, and online
    back ups Monitoring, scaling, diagnosing performance, tuning, optimizing
    Testing and change management of complex applications and workloads
    Automatically handling failures and errors
  • Autonomous Database Services deliver a number of key strategic advantages for an organization.

    In line with traditional cloud base values, the business can move away from complex long term forecasting and multi-month project startup times, to an instant self-service database capability that removes the classic barrier between I.T. and Line of Business, enabling innovation at the speed of thought, rather then the speed of I.T.

    Autonomous databases will solve the workforce dilemma, removing the risk associated with workforce retirement while simultaneously delivering a sea change in operational efficiency thru software automation of one of the most complex areas in running a business, data management.

    Autonomous databases are delivered with a multi-layered security architecture that protects your data from hackers trying to steal it. From hardened Network design, to always encrypted data in motion and at rest, to software automation that automatically keeps the hardware’s firmware, operating systems, database software up to date with patches for all know security vulnerabilities. This is a top concern for global regulators and we’ve seen companies getting hacked, heavy fines imposed, corporate reputations damaged. Autonomous can eliminate this concern.

    Ultimately, Autonomous database will reduce business costs and risk by moving to a pay-per-use business model for database applications, reducing the number of people needed specifically for database administration, reducing downtime due to operational errors avoided thru the use of A.I. and less human involvement.
  • Lets look at a few functions that come with the Oracle database.

    With memory and ssd costs much lower these days, machines now come with vast capacities that can be utilized. One way is Database In-Memory.

    By enabling this, you can get up to 10x faster analytics on the same database machine.
  • [more than 9 by oow?
  • Kevin Lief to present
  • Kevin Lief to present
  • Kevin Lief to present
  • Main modernisation drivers are typically cost savings. However if someone is looking at a microservices target architecture, the drivers have to be more than cost savings alone.

    The main driver for decoupling capabilities out of a monolith is to be able to release them independently, quicker – to increase agility to meet market demands.

    It’s also difficult to drive innovation from the mainframe, as the existing systems are extremely brittle and tightly integrated + the cost to maintain the environment makes any modernisation efforts cost prohibitive.

    Decreasing mainframe skills is always an issue – and moving to a cloud environment can definitely look to help with the lower level infrastructure and operational related requirements. If the customer is currently outsource (which many IBM mainframe customers are) – then moving to a cloud environment will make perfect sense

    Scalability is also key – and is an obvious draw of the cloud. However, in order to really leverage the power of the cloud-based scalable infrastructure, the applications need to be optimized first. We can obviously assist there.


  • Evaluation of Migration Requirements
    Understand your business requirements
    Develop a migration plan aligned with your strategic goals
    Include optional services such as education, performance tuning and Oracle Outsourcing, as required
    Assessment of Application System
    Delivery of application system to Oracle
    Assessment of the database and/or application
    Assessment report and statement of work
    Migration
    Migration of database and/or application
    Migration report
    Improvement and Optimization (optional)
    Adoption of key Oracle technology and features such as Real Application Clusters (RAC) and partitioning
    Performance tuning
    Implementation of operational procedures such as back up and recovery, database re-organization, and active monitoring
    Customer Acceptance Testing
    Perform a full system test to confirm that the migrated application behaves as expected
    Notify Oracle that the application is accepted or of any issues
    Production
    Application system goes live on the Oracle platform!
    Project Post Mortem
    You provide feedback to Oracle about the migration project
    Oracle ensures you have everything you require to make the migration a success
    Join the Oracle Customer Reference Program



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