Data Governance/Asset Management Michigan DOT and OrientDB Why Graph Matters. Colin Leister

Transcription

1 Data Governance/Asset Management Michigan DOT and OrientDB Why Graph Matters Colin Leister

2 MDOT Maintains Over 170 Applications

3 MDOT Uses 24 Databases

4 Every Application Has Its Own Schema A schema defines the tables, data types, relationships, and indices used in a database for an application. Multiple schemas may be defined against a single database.

5 Each Schema Is Made Up of Multiple Objects and Data Columns

6 ProjectWise

7 ProjectWise Every Application Schema May Contain Hundreds or Even Thousands of Database Columns. ProjectWise Schema ProjectWise Application Database Columns (232)

8 Let Me Ask You Some Questions About Your Data

9 Questions How many applications are in use in your department? Which applications are dependent on other applications? What database(s) is each application dependent on? If a change is made to a database schema, what applications might be affected? How many users are maintained across these applications? What about the managers, employees, customers for each application? How do you track who has access to each and every application?

10 The Power of a Graph

11 Graph Powered What makes a graph database so powerful is that it focuses on relationships and allows you to ask new kinds of questions.

12 But What is a Graph? In graph theory, a graph is a structure amounting to a set of objects in which some pairs of the objects are in some sense related. The objects correspond to mathematical abstractions called vertices (also called nodes or points) and each of the related pairs of vertices is called an edge (also called an arc or line). -- Wikipedia

13 In English Please A graph consists of three things: Subjects (we call these vertices or nodes) Relationships (we call these edges) Attributes (we call these properties) Person friendof friendof is an Edge Person Person is a Vertex Person is a Vertex

14 Vertex, Edge, Property Property Person Age: 42 friendof friendof is an Edge Person Age: 50 Property Person is a Vertex Person is a Vertex

15 What Applications are Dependent on AASHTOWARE?

16 What Applications are Dependent on ProjectWise?

17 What Applications Use the TERA_05 Database?

18 What Applications Use the TERA_05 Database?

19 The Solution: OrientDB Enterprise 3.0

20 OrientDB Enterprise 3.0 OrientDB Enterprise is a modern, multi-model (graph and document) database engineered for the enterprise. Extremely Fast Highly Cost-Effective Affordable Eliminates the need for multiple products and multiple licenses to manage your data Secure Easy to Implement Multiple Deployment Options (Cloud, Stand-Alone, Embedded)

21 OrientDB Editions OrientDB comes in two editions: Community Edition and Enterprise Edition OrientDB Community Edition is an Apache 2 Open Source licensed product and is free for commercial use no questions asked Develop using OrientDB Community Edition When you are Production Ready upgrade to OrientDB Enterprise Edition

22 OrientDB Enterprise Notable Customers

23 OrientDB Enterprise Data Migration

24 OrientDB Enterprise Data Migration OrientDB Teleporter Imports relational databases into OrientDB Converts column data into properties Migrates one-to-one, one-to-many, and many-to-many relationships as OrientDB graph vertices and edges OrientDB Neo4j Importer Imports a Neo4j database into OrientDB Migrates nodes, edges, and schema

25 OrientDB Enterprise Studio

26 OrientDB Enterprise Studio Studio is a web-based tool used to: monitor server and cluster activity run ad-hoc OrientDB SQL queries modify database schema graphically visualize graph data write and execute functions schedule backups examine query performance audit user activities

27 OrientDB Enterprise Studio Run Ad-Hoc Queries Using OrientDB s SQL Language

28 OrientDB Enterprise Studio Graphically Visualize Your Data Relationships

29 Summation

30 Why Do You Need a Graph? To See How Your Data Is Connected Data Governance Asset Management User Tracking Network Management Fraud Detection

31 Thank-You! Data Visualization 3