NPP & Blockchain Have you thought about the data? Ken Krupa, CTO, MarkLogic

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1 NPP & Blockchain Have you thought about the data? Ken Krupa, CTO, MarkLogic

2 Hello SLIDE: 2 14 COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

3 A QUICK LOOK New Payments Platform Open access infrastructure for fast payments Agreement between Authorized Deposit-taking Institutions (ADIs) and the Reserve Bank of Australia Fast, Flexible and Data Rich Operational in 2018 Source: Webinar_September-2017_Publishing.pdf SLIDE: 3 14 COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

4 USES AND OPPORTUNITY NPP Applicability Overlays NPP Pre-payment value-add In-transaction enhancement Post-payment services SLIDE: 4 14 COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

5 A QUICK LOOK: NOT JUST BITCOIN What is Blockchain First widely implemented by Bitcoin A distributed ledger with no central authority Some refer to it as a distributed database (technically that s true, but not really) Involves distributed computing and cryptography Trust based on consensus SLIDE: 5 14 COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

6 USES AND OPPORTUNITY Blockchain Applicability Digital Currency: Bitcoin, Ethereum, etc Smart Contracts: If-then logic settled by machines (provided it has the data ) Securities: Reduction of settlement and other manual-intensive processes Record Keeping: Wherever trust is required and can otherwise be questioned Source: BTCS.com SLIDE: 6 14 COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

7 IMPLEMENTATION VS. ENABLER A Few Contrasts New Payments Platform Blockchain A platform and service offering A specific enabling technology Backed by a central authority Decentralized consensus Specific to banking A wide range of industries Payment and settlement Immutable record keeping and validation SLIDE: 7 14 COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

8 NPP AND BLOCKCHAIN Some Common Traits Automated Fast Technology-enabled Disruptive to Finance Data-oriented SLIDE: 8 14 COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

9 NPP, Blockchain: A Common Perspective Party A Magic Party B SLIDE: 9 14 COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

10 PERSPECTIVES Incumbents and Innovators: Implications Incumbents Innovators Driven by fear of Disruption Driven by opportunities for disruption Has traditional business to maintain Complete green field Challenge to Cross the Chasm Challenge to attain escape velocity A lot of customers and associated data Smaller customer base to get data from Need to be data driven Data is a challenge and enabler SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

11 DIGITIZATION It s About the Data! Is the data of quality? Is it useful? - Does it provide insights in real time? - Does it provide a competitive advantage operationally? Is it secure and protected for sharing and insights SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

12 DIGITIZATION IN CONTEXT Data Everywhere 1 VALIDATE DATA QUALITY 4 MANAGE RISK & MAINTAIN COMPLIANCE Or RISK REPORTING COMPLIANT DATA REGULATORY RESPONSE SECURE / ANONYMISED DATA STORAGE 3 DISCOVERY, BUSINESS EVENTS, OPERATIONS & SCALE 2 ENSURE CONSISTENCY ENTITY / COMPANY 360 VIEW PROACTIVE ALERTS NEW OPERATIONS SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

13 Some Cautionary Tales

14 Applying Legacy to Next Gen Source: At Best: Not the results you hope Or Worse: Bigger problems? SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

15 Security?

16 In A Word Source : SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

17 Not Just the Incumbents SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

18 Preparing for The Magic

19 REAL-TIME ALL YOUR DATA 1. Operationalize Real-time discovery Proactive insights Actions at points of discovery Across the entire data pipeline SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

20 A Brief Look Back: Feb 2015 SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

21 NEW REQUIREMENTS Feb 2016: What About Operational Big Data? Not just about analysis the same 3 Vs apply to operations 100s-10,000s of transactions per second Process everything without failure (and/or have visibility into breaks ) Consistency matters in an operational environment Enterprise matters backups, replication, security SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

22 A Typical Enterprise OLTP SOURCES MASTER DATA DATA DISTRIBUTION DATA WAREHOUSE ANALYSIS & ISCOVERY SOA BUS ETL PROCESSES BUSINESS OPERATIONS OBSERVATIONS & CHANGES DATA MARTS Time gap RUN THE BUSINESS ENTERPRISE DATA MANAGEMENT OBSERVE THE BUSINESS 60% of cost SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

23 Rationalizing Technical Debt OLTP SOURCES DATA DISTRIBUTION DATA WAREHOUSE ANALYSIS & ISCOVERY SOA BUS DATA MARTS BUSINESS OPERATIONS RUN THE BUSINESS OBSERVE THE BUSINESS SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

24 Rationalizing Technical Debt OPERATIONAL DATA HUB (ODH) OLTP SOURCES SOA BUS BUSINESS OPERATIONS RUN THE BUSINESS INGEST & DISCOVER HARMONIZE ENRICH AGILE- MASTERING f(x) DATA SERVICES DATA DISTRIBUTION DATA WAREHOUSE DATA MARTS OBSERVE THE BUSINESS ANALYSIS & ISCOVERY GOVERNANCE & SECURITY SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

25 Feb 2017: Crossing the (Architecture) Chasm? Crossing the Chasm guy ODH? SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

26 DATA STUFF IN THE DATABASE 2. Data Security and Governance Secure data in the database, not just an app Security is about sharing Last line of defense, best first place of enablement SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

27 DATA PRIVACY Automated Security and Privacy Policies Declarative in the database at the user-level Document and element level policies for hiding, redacting or masking Least-privilege assumption for operations and management Encryption at rest SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

28 ENCODING BUSINESS POLICY IN DATA Automating Business Policy (e.g. KYC) Repetitive tasks need to be automated as transaction frequency increases Stare and compare is better left to the machines Detecting fraud will require more scale and smarts More intelligent automation should be in the DBMS SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

29 THE DBMS IS CRITICAL 3. Choose the Right Technology Database is still central Handle all data types, and metadata Operational and secure SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

30 DATABASE VS. DBMS Is Blockchain a Database? Blockchain designed for immutable record keeping and trust consensus A DBMS is designed for high throughput read/write and complex querying Blockchain implementations are complemented by a DBMS SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

31 THE DBMS All Types of Data NPP uses ISO20022 XML Data rich means more documents, metadata, context and other formats (e.g. JSON, RDF) Your database must handle a diversity of content types natively SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

32 THE DBMS Secure Transparent encryption of all data User-level authentication and authorization Element level security of native data representation against users and roles SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

33 The MarkLogic Alternative An Operational and Transactional Enterprise NoSQL Database EASY TO GET DATA IN Flexible Data Model Data ingested as is (no ETL) Structured and unstructured data Data and metadata together Adapts to changing data and changing data structures EASY TO GET DATA OUT Ask Anything Universal Index Index once and query endlessly Real-time and lightning fast Query across JSON, XML, text, geospatial, and semantic triples in one database TRUSTED TO RUN YOUR BUSINESS Enterprise Ready Flexible cloud deployment Enterprise-grade data security Common Criteria Certification Reliable data and transactions (100% ACID compliant) Out-of-the-box failover, replication, and backup SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

34 Key Takeaways NPP and Blockchain are disruptive Data challenges will increase as a result Security challenges will also increase The need to be agile (but not careless) becomes critical An Operational Data Hub will help address the challenges The right database will play a critical role SLIDE: COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

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