Webinar slides. Describes how you create a backend application, in the cloud or on premise, that join data from MongoDb and SQL databases with a single RESTful API.

1. A Shot of Espresso for Your Enterprise Apps
1
The Fastest Way to Create
Backend Services Across Data Sources

2. Espresso Logic
presents
Integrate MongoDB & SQL data with
a single REST API

3. Agenda
• Espresso Logic
• SQL vs Mongo concepts & use cases
• Building a secure REST Integration Server
• Blending MongoDB with SQL
• Q&A
3

4. Espresso Logic
Declarative development for data-intensive apps
• RESTful API
• Reactive programming and JavaScript for logic
• Fine grain role-based security
• Application lifecycle facilities

5. Company Background
5

6. Today’s world - Heterogeneous data
• SQL
• JSON
• EDI
• CSV
• XML
• SOAP
• ODATA
<book id="bk101">
<author>Gambardella,
Matthew</author>
<title>XML Developer's
Guide</title>
<genre>Computer</genre>
</book>
<workspace>
<atom:title>Default</atom:title>
<collection href="Categories">
<atom:title>Categories</atom:title>
</collection>
<collection href="CustomerDemographics">
<atom:title>CustomerDemographics</atom:title>
</collection>
<collection href="Customers">
<atom:title>Customers</atom:title>
</collection>

7. SQL vs MongoDB Concepts
SQL Terms/concepts MongoDB Terms/concepts
DATABASE DATABASE
TABLE COLLECTION
ROW DOCUMENT OR BSON DOCUMENT
COLUMN FIELD
INDEX INDEX
TABLE JOINS EMBEDDED DOCUMENTS AND
LINKING
PRIMARY KEY PRIMARY KEY
TRANSACTIONS
BEGIN, COMMIT/ROLLBACK
NA
SCHEMA NA

8. Language Syntax is different
8
SQL Terms, Function, Concepts MongoDB Aggregation Operators
WHERE $match
GROUP BY $group
HAVING $match
SELECT $project
ORDER BY $sort
LIMIT $limit
SUM $sum
COUNT $count
JOIN No direct support

9. Use Cases for MongoDB & SQL
Drivers: Scale, Size, Cost Drivers: ACID, Reporting, Familiarity
MongoDB
– Big Data – Business
Intelligence
– New Mobile Apps (high
volume reads)
– Logs and Web events
– Product and Image catalogs
– Content Management
SQL Database
– Financial and Accounting
– Legacy Business Applications
– Anything that involves $$$

10. Blending MongoDB and SQL
SQL and MongoDB
– Financial and Sales transactions with archived history
– Account and Payment Processing
– Shopping Carts and Order Entry
How do we do this?

11. We need a RESTful Server
http://eval.espressologic.com/rest/sample/demo/v1/
Multiple Data Sources
Endpoints:
/customer/{id}
/employee/{id}
/customerWithOrders
/product/{id}
{
“@metadata": {
"checksum": "A:6c253d56830572ea",
},
"name": "Alpha and Sons",
"balance": 0,
"credit_limit": 9000
}
…. so you need to build a REST Server

12. Building a secure REST Integration Server
Apache Tomcat
Hibernate (JPA)
Entity Framework/WCF
JDBC Driver
Jersey/Jackson Logging
Library (log4J)
Web Hosting
Servlet API
Identity Security services
JavaScript engine
Configuration Properties
User & roles definitions,
SQL and NoSQL Server connections
Declarative (Reactive) Rules
Role-based Access Control
Schema ORM Model
Security tokens
REST API definitions
Event Code
metadata
Now we need to host this…

13. Fast & Easy Way
SQL
“
name": "Alpha and Sons",
"balance": 4484,
"MongoOrders": [
{
"_id": {
"$oid": "53d64c59a32268822c09e994"
},
"order_number": 1,
"amount_total": 1079,
"salesrep_id": 2,
"items": [
{
"_id": {
"$oid": "53d64c38a32268822c09e746"
},
"lineitem_id": 1,
"product_number": 4,
"amount": 600
},

14. Espresso Logic Architecture
Complete On-premise VM Appliance or Cloud Managed Service

15. Support for your SQL and NoSQL Database

16. Step 1 – Connect Existing SQL Database
SQL
Instant RESTful Endpoints
• Tables
• Views
• Stored Procedures

17. Step 2- Creating REST endpoints
1. Name a new resource
2. Specify the SQL table
3. Add Mongo sub-documents

18. Step 3- Blending MongoDB with SQL
Point and Click
1. Select Parent SQL
2. Add Sub Document
3. Enter MongoDB Server,
database, and collection
4. Specify ‘join’
Test in REST Lab

19. Test REST Lab to Blended API

20. View in Live Browser
RESOURCES
TABLES

21. Step 4 – Customize your API
• Alias Attributes
(rename)
• Change format
• Select/Project columns
to include
• Add new virtual
columns (Row Event)
• Filter/Sort
• Limit/Offset (paging)

22. API Documentation

23. What’s Next
• Business logic via reactive programming & JavaScript
• Adding authentication to your new REST Server
• Setting up users and roles
• Column and row level security

24. Summary
• Applications today need to support multiple databases
• Building a Rest Integration Server
• With Espresso, need just four simple steps
to join Mongo and SQL in a single REST API
– Connect to multiple databases
– Create new REST endpoints
– 'Join' Mongo and SQL with point-and-click
– Test the REST API

25. Next steps
• Webinar next week
From specs to an app: 10X faster with reactive programming
• Sign up for a free trial – Build a proof of concept with your data
Let us help you connect to your data

26. Thank You
Questions????
www.espressologic.com
Technical: tyler@espressologic.com
Business: ron@espressologic.com