Government and Public Sector Partner Forum – Achieve, Innovate, Modernize (US)
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Watch full webinar here: https://bit.ly/3orxU1c Data Virtualization has been getting a lot of attention recently – Gartner has called it an important component of any enterprise architecture and stated that by 2022, 60% of organizations will implement it. If you are a Partner currently with a project in the Government and Public Sector we invite you to meet with a Denodo expert. Find out how you can accelerate with Data Virtualization! Learn how you can utilize Denodo Data Virtualization in your current government projects to reduce risk, gain competitive advantage, and help your clients achieve better mission outcomes. Key Points of Discussion: - How to leverage Data Virtualization to differentiate and better support missions - How Data Virtualization can reduce program risk - Recent Use Cases and Success Models - Analyst recommendations Download our recent brief to learn how Federal agencies are leveraging Data Virtualization to gain unprecedented agility and constituent responsiveness. Contact Kathleen Krasniqi if you have any questions.
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Government and Public Sector Partner Forum – Achieve, Innovate, Modernize (US)
- 1. GOVERNMENT AND PUBLI C S EC TOR PART NER FORUM Achieve, Innovate, and Modernize
- 2. Speakers Ravi Shankar SVP & Chief Marketing Officer Denodo Technologies Paul Moxon SVP Data Architectures Denodo Technologies Joaquin Lacalle Sales Engineer Denodo Technologies
- 3. Agenda 1. Trends and Challenges 2. Data Virtualization – A Better Approach 3. Product Demo 4. Customer Use Cases 5. Q&A 6. Next Steps
- 4. Why Data Virtualization is Critical for Your Projects
- 5. 5
- 6. 6
- 7. 7 Source: “EU Sees More Data Breach Reports, Privacy Complaints” Mathew J. Schwartz, Bank Info Security, December 19, 2018
- 8. 8 Gartner - Transitioning to Digital Government Primer for 2018 (Gartner ID: G00344026) The structure of government has remained largely the same for more than half a century, even as citizen expectations have outpaced government’s ability to address them. The process improvements of earlier e- government programs have yet to produce integrated, cross-organizational service models that deliver better outcomes for citizens.
- 9. 9 A Modern Data Architecture Reporting Analytics Data Science Data Market Place Data Monetization AI/ML iPaaS Kafka ETL CDC Sqoop Flume RawDataZoneStagingArea CuratedDataZoneCoreDWHmodel Data Warehouse Data Lake Data Virtualization Platform Analytical Views Data Science Views λ Views Real-Time Views DWH Views Hybrid Views Cloud Views UniversalCatalogofDataServices CentralizedAccessControl Enterprise Data Fabric
- 10. 10 Decoupling Users from IT IT: Flexible Source Architecture Users: Flexible Tool Choice IT can now move at slower speed without affecting the users Users can now make faster and more sophisticated decisions as all data accessible by any tool of choice
- 11. 11 Benefits of Data Virtualization
- 12. 12 Source: Gartner Data Virtualization Market Guide, Dec 2018 Through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture”
- 13. 13 Product Demo
- 15. 15 DoD – Data Center Consolidation and Migration • The ‘Agency’, part of the Department of Defense, develops and maintains state-of- the-art supportability analysis and Life Cycle Logistics decision support software tools to assist acquisition Program and Product Support Managers. • Responsibility and management of the Agency’s computing infrastructure was being transferred to another department to consolidate this capability in a single group.
- 16. 16 Business Problem Need to reduce Oracle footprint and need to converge to a single Data Center A. Reduce Oracle Footprint (DW Modernization, Data Lake Implementation) ▪ Agency wanted to reduce their Oracle footprint & spend by migrating some of their data to Hadoop ▪ Wanted to take advantage of the benefits of Hadoop (Hortonworks) ▪ Concerned about having to re-write all of their 1000+ reports (PL-SQL) B. Migrate and Merge Data Centers (Convergence) ▪ Needed to migrate off of an IBM-hosted Data Center ▪ Also needed to merge Data Centers, as control of the Data Center infrastructure was being consolidated under another department.
- 17. 17 Findings & Gap Analysis • “Repointing” a tool from Oracle to Hadoop is complex and significant ▪ Legacy PL/SQL in some cases was not ANSI compliant ▪ SQL optimization required to reduce the number of table joins - performance ▪ Modify data structures to take advantage of schema-on-read (Hadoop) • Data Warehouse must be modernized ▪ Parts Tracker applications query involved 36 table joins ▪ Crashed one of the vendor platforms ▪ Oracle heavily dependent upon indexes to perform queries – increases storage ▪ During redesign of warehouse, data structure to be designed for efficient Hadoop queries • Some re-engineering of analytical and reporting tools will be required for compatibility and performance with Hadoop (and other data sources) ▪ Emphasis on use of semantic layer to minimize application tool re-write required when replacing / optimizing data sources ▪ Maximize use of self-service / BI Development tools to increase velocity of Tool modernization, vice custom code
- 18. 18 Solution Solutions to challenges A. Implement Denodo DV as a “Semantic Layer” ▪ Provides the ability to migrate data to other platforms without impacting applications B. Implement Denodo DV as a “Single Source for Data” ▪ Users have one place to go for data
- 19. 19 Resultant Enterprise Architecture BI / Reporting Capabilities • WebLIDB/LMR • Parts Tracker • DODAAC Readiness Analyzer • Customer Satisfaction • Overage Repairable Management • Repairable and Recoverable • Supply Performance Statistics • Aging Deadline Notifications • Cost Driver • DPST • MMIS • ARMT • TPE Planner Analytics / Visualizations • Fleet Readiness • Fleet Projection • Readiness Improvement Options • Combat Slant • CWT and ZPARK • SSA ASL Performance • Class IX Parts Impacting Readiness • Class VII and IX Asset Visibility • FMC Percentages % by UIC or LIN • Condition-Based Maintenance (CBM) Modeling, Simulation and Artificial Intelligence • LMI DST; COA Analysis, OIB Optimization • CBM • ExASL: Stockage determination • PSCC: Optimization of storage and distribution • COMPASS: enables Level of Repair Analysis (LORA) studies • CASA: Life Cycle Cost (LCC)/Total Ownership Cost (TOC) decision support • Army Air Clearance Authority
- 20. 20 Database Consolidation and Modernization by Phases PHASE 1 Convergence 3Q18 4Q18 1Q19 2Q19 3Q19 4Q19 1Q20 PHASE 2 Modernization PHASE 3 Optimization 5 DBs ** Duplicate Data Bases utilized to provide load balancing during elevated usage and redundancy for data base failures/errors 14 DBs 10 DBs 2Q18 20 DBs **
- 21. 21 Tool Migration and Consolidation by Phases 2Q18 3Q18 4Q18 1Q19 2Q19 3Q19 4Q19 1Q20 • Logistics Modernized Reporting • Sustainment Base Production • Pipeline Retrograde Ref PHASE 1 Convergence PHASE 2 Modernization Tools modernized to Data Analytics Platform during convergence Tools modernized to Data Analytics Platform post convergence Optimization of transactional tools or tools with their own databases to Enterprise Platform (Hadoop and/or HANA) / removal of Oracle dependency (T) Transactional tools increase the complexity of repointing to Hadoop • ETM/IETM • PS Magazine • IMI • LIW Resources • WWW / INTRANET • FEDLOG Content Management • Fedlog Addressing System – (T) • LCLET • LMI DST – (T) • LPDS • MMIS – (T) • National Equipment List – (T) • NMP / IMM • OASIS/AOAP – (T) • SSN Reports • SRDP – (T) • TMDE • TPE – (T) • WebUIT (T) • WON Correction • AMC Quality Assessment • AR-COP / M- COP • ARFORGEN Cycle Tools – (T) • Army Reset COP – (T) • Automated Reset Management Tool (ARMT) – (T) • COSIS • DPST – (T) • DST ET – (T) • EDMO ETL/EDMO Web Portal • EDMO Upload Data Module (T) PHASE 3 Optimization 47 Tools Sunset in FY16 • AMDF Discrep • ARFORGEN COP • Ask the Commander Admin • CAGE Search • CASA (link only) • CBT Admin • Commanders Blog Admin • COMPASS (link only) • COMPASS Lite (link only) • DIREP (DLIS ONLY) • Field Dispo LSE Planner • I and S Problem Report • ILS Life Cycle Model • IUID Plans • JDOC Shell • Lateral Trans Trkr • LBE Visibility • LCMC ResWrksheet • Level of Repair (link only) • LMP Serial Number Updt • LOG911 Admin • LOG911 Admin Mgr • LOG911 Sum Rpt • LDAC CBT • LDAC CDR's Guide • MACOM BO • MACOM Vendor • My LCMC Dispo Stat • My Prod Planner • NAVAIR • Non Major Asset Vis • OPMS • powerLOG-J (link only) • Preset Tool • Price Chl Form • PSCC (link only) • Readiness Exec Sum • Reset Dispo LCMC (MSC) Planner • Reset Train Mgr • SAASMOD • Security Maintenance • SoS Search • SYSPARS (link only) • TMSS Perf Specs • Unit Reset Worksheet • WebFLIS Search • WLTW Admin 28 Tools Sunset in FY17 16 of 28 Tools/Capabilities Currently Available in the Enterprise •ABF Search by NIIN - (CF) •DODAAC Other Services - (CF) •EIC Finder - (CF) •FLIP DODAAC - (CF) •IAC - (CF) •IAC Search - (CF) •INS Cd Request - (CF) •INS Code Search - (CF) •INS Codes - (CF) •LOGTAADS Search - (CF) •NSN LIN DODIC Qry - (CF) •Packaging Requirements - (CF) •Project Cd Search - (CF) •SKO Transactions - (CF) •Tailored myNSN - (CF) •UIC Search - (CF) 12 of 28 Tools/Capabilities Retired (Not on a Migration Path to the Enterprise) •ASC Workload Planner - (CF) •Left of RPAT Equipment List •MyAOAP •MySOR •MySSA •RPA - (CF) •RPA Tools - (CF) •SRT List •Task Force Builder - (T) •Task Force Builder Pub •TC-AIMS II Export Viewer •TPE Export TC AIMS II 30 Tools Sunset in FY18 •AEL Tracker •AMC Supply Chain •Automated Recon - (CF) •DODAAC Search - (CF) •ILAP - (CF) •Batch Document Search - (CF) •ILAP RIC List - (CF) •MMDF** •Non Army Asset Vis - (CF) •ORF/RCF •Project Code •RIC Search - (CF) •RIDB Upload Air Man/Unman - (T)(CF) •RIDB Upload Grnd/Msl - (T)(CF) •SB 700-20 Search - (CF) •Sets Kits Outfits - (CF) •360 Logistics* •ARIL Query - (CF) •D6S/MRA Closure - (CF) •Equip Cntrl Rec 2408-9 - (T)(CF) •Ground Eq Tracker - (CF) •Ground Eq Verifier - (T)(CF) •MAPR Upload •MAPR Usage Query •MyRetrograde* •PBUSE Mgmt Tools - (CF) •PFSA •PM Toolbox - (CF) •Quick Hits •Reset Plan Viewer (link only) • Asset Visibility • Common CBM DW/Caesar • Parts Tracker • Materiel List Builder • Force Builder • DODAAC Readiness Analyzer
- 22. Emerging Enterprise BI Architecture 22 BI / Reporting Capabilities • WebLIDB/LMR • Parts Tracker • DODAAC Readiness Analyzer • Customer Satisfaction • Overage Repairable Management • Repairable and Recoverable • Supply Performance Statistics • Aging Deadline Notifications • Cost Driver • DPST • MMIS • ARMT • TPE Planner Analytics / Visualizations • Fleet Readiness • Fleet Projection • Readiness Improvement Options • Combat Slant • CWT and ZPARK • SSA ASL Performance • Class IX Parts Impacting Readiness • Class VII and IX Asset Visibility • FMC Percentages % by UIC or LIN • Condition-Based Maintenance (CBM) Modeling, Simulation and Artificial Intelligence • LMI DST; COA Analysis, OIB Optimization • CBM • ExASL: Stockage determination • PSCC: Optimization of storage and distribution • COMPASS: enables Level of Repair Analysis (LORA) studies • CASA: Life Cycle Cost (LCC)/Total Ownership Cost (TOC) decision support • Army Air Clearance Authority
- 23. 23 Benefits Initial Deployment (2017): 4 Cores | Expansion (2018): 40 Production Cores for total of 44 Cores. Technical Savings ▪ Reduced costs from leveraging Hadoop platform ▪ Reduced costs by consolidating Data Centers on-prem Business Value ▪ Time-to-market: Can respond much more quickly to user requests for data; can also embrace new platforms (Amazon) and Data Sources (Amazon Services) ▪ Significantly reduced the timeframe for migration of Data Centers Additional Benefits ▪ Using Denodo Data Catalog to empower end-users to develop their own reports much easier and faster (Self Service)
- 24. 24 ROI – Savings in Cost and Resources 0 10 20 30 40 50 60 $- $1,000,000.00 $2,000,000.00 $3,000,000.00 $4,000,000.00 $5,000,000.00 $6,000,000.00 Bldg web services prior to Denodo Initial Denodo POC Current Denodo Rate Annual Cost # full time staff
- 25. Q&A
- 26. 1. Federal e-government programs are complex and often fail to deliver the expected benefits to the Agency 2. Data Virtualization – as a core component in a modern data architecture – can reduce complexity and risk 3. Data delivery to users of all types is accelerated – up to 97% reduction in time to deliver for the Agency 4. The result Data Fabric is more agile and adaptive for future needs of the Agency Key Takeaways
- 27. Ready to Discover? Sign Up! Accelerator Track for Government and Public Sector Achieve, Innovate, and Modernize with Data Virtualization https://pages.denodo.com/WC-Govt-NA-Accelerator.html
- 28. www.denodo.com info@denodo.com © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies.