You Have Your Data, Now What?

Transcription

1 You Have Your Data, Now What? Kevin Shelly, GVP, Global Public Sector

2 Data is a Resource SLIDE: 2

3 Time to Value SLIDE: 3

4 Big Data: Volume, VARIETY, and Velocity Simple Structured Complex Structured Textual/Unstructured Relationship/Graph SLIDE: 4

5 Variety More of the same things Lots of different things SHAPE SOURCES FORMATS QUESTIONS SLIDE: 5

6 Data Integration is Really Hard

7 Enterprise IT Faces Unprecedented Challenge Leveraging Both Heterogeneous and Unstructured Data 12% Structured 88% Unstructured Reference Data OLTP Warehouse Archives Data Marts? SLIDE: 7

8 The Endless Cycle of Data Normalization Take snapshot of current data Build master data model based 1 on initial view 2 x 4 Revise static model & restart process for new data Extract, transform, & load data into data model 3 SLIDE: 8

9 HOW DO YOU DETERMINE IN ADVANCE WHAT'S USEFUL? Love the application...can you go back and include the data from ?

10 TOO MUCH DATA TO BE COPYING FOR EVERY NEW APPLICATION Serious?! Third time this month I'm moving that data around!

11 ETL CONSUMES ALL RESOURCES With all of the new data we're trying to get into the database, there's no time to build new features!

12 TOO MANY TECHNOLOGIES CREATES SCALING HEADACHES To scale this system, we've got to buy new hardware. We can take the old hardware and move it to this other system. That one can't get any bigger. Period.

13 TOO MUCH AND TOO MANY COPIES...YOU'VE LOST CONTROL Who's reading it? Who's editing it? Where's the master copy? What's happened to it over time? Is it reliable? How up-to-date is this data store? Are the security models consistent? Are there different backup models? Are the lifecycles, retention, disposal policies the same?

14 Data Integration With Relational Databases X ,000,000 X Pre-defined schemas Complex ETL processes Tradeoffs in app development SLIDE: 14

15 Data Integration With Enterprise NoSQL ,000,000 Schema-agnostic Scale-out infrastructure Straightforward data integration SLIDE: 15

16 Generational Shift in Database Market Any Structure Era For all your data! Massive scale Built for heterogeneous and unstructured data Faster time-to-results Commodity hardware Fraction of the cost Enterprise NoSQL Database Relational Era For all your structured data! Bad for unstructured Difficult for heterogeneous Proprietary hardware Expensive Relational Hierarchical Era For your application data!" Proprietary hardware Expensive Mainframe SLIDE: 17

17 Enterprise Capability: A Corporate IT Requirement ACID: ATOMIC, CONSISTENT, ISOLATED, DURABLE Uncompromised Data & Transaction Resiliency "Don't lose your data!" SECURITY Enterprise-grade, Fine-grained Access "Protect your data!" HIGH AVAILABILITY DISASTER RECOVERY Automatic Failover, Replication, Backup/Recovery "Prepare for the worst!" SLIDE: 18

18 Core Differentiator: Purpose-built for the Enterprise RELATIONAL OPEN SOURCE ACID TRANSACTIONS SECURITY HIGH AVAILABILITY & DISASTER RECOVERY SCHEMA-AGNOSTIC SCALE-OUT ELASTIC TIERED STORAGE SEMANTICS SLIDE: 19

19 What s possible with a new approach?

20 HEALTHCARE.GOV

21 Health Insurance Payers Income and Eligibility Confirmation HIM Millions of Subscribers State Exchanges DSH Data Services Hub SLIDE: 22

22 Health Insurance Payers Income and Eligibility Confirmation HIM Millions of Subscribers State Exchanges DSH Data Services Hub SLIDE: 23

23 FAIRFAX COUNTY Land Development Information web application

24 Before MarkLogic MAINFRAME GREEN SCREEN X Land Development Information for Fairfax Citizens Oracle and MS Access? PDF XLS FIREWALL SLIDE: 25

25 After MarkLogic X MAINFRAME MAINFRAME Land Development Information for Fairfax Citizens Oracle and MS Access PDF XLS FIREWALL SLIDE: 26

26 Harnessing Data and Reimagining Applications Reduce Risk Manage Compliance Create New Value from Data Optimize Operations Lower TCO / Better IT Economics Better Decision-making SLIDE: 27

27 MarkLogic / Enterprise NoSQL Database Platform POWERFUL AGILE TRUSTED Native JSON Store Native XML Store Scalable and Elastic Cloud Ready (AWS) Performance at scale LDAP and Kerberos Security Native RDF Triple Store Geospatial Support Hadoop and HDFS REST API Security Certifications Monitoring and Management Full-text Search Flexible Indexes SQL Support Multi-OS Support Configuration Management 24/7 Engineering Support Bitemporal Real-time Alerting Schema Agnostic Samplestack ACID Transactions Flexible Replication Semantic Inference Tiered Storage MarkLogic Content Pump XA Transactions Customizable Backup Customizable Failover Server-side JavaScript Fully Transactional Ad-hoc Queries Index Across Data Types Point-in-time Recovery Atomic Forests

28 Let s Engage Rebecca.Morales@MarkLogic.com Kevin.Shelly@MarkLogic.com SLIDE: 29