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Integrate MongoDB & SQL data with a single REST API

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Espresso Logic

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.

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A Shot of Espresso for Your Enterprise Apps 1 The Fastest Way to Create Backend Services Across Data Sources
Espresso Logic presents Integrate MongoDB & SQL data with a single REST API
Agenda • Espresso Logic • SQL vs Mongo concepts & use cases • Building a secure REST Integration Server • Blending MongoDB with SQL • Q&A 3
Espresso Logic Declarative development for data-intensive apps • RESTful API • Reactive programming and JavaScript for logic • Fine grain role-based security • Application lifecycle facilities
Company Background 5
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>
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
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
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 $$$
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?
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
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…
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 },
Espresso Logic Architecture Complete On-premise VM Appliance or Cloud Managed Service
Support for your SQL and NoSQL Database
Step 1 – Connect Existing SQL Database SQL Instant RESTful Endpoints • Tables • Views • Stored Procedures
Step 2- Creating REST endpoints 1. Name a new resource 2. Specify the SQL table 3. Add Mongo sub-documents
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
Test REST Lab to Blended API
View in Live Browser RESOURCES TABLES
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)
API Documentation
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
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
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
Thank You Questions???? www.espressologic.com Technical: tyler@espressologic.com Business: ron@espressologic.com

More Related Content

Integrate MongoDB & SQL data with a single REST 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
  • 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)
  • 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

Editor's Notes

  1. New Company with a long history of delivering enterprise business applications
  2. Introduction of topic, company, and people
  3. Long history of Logic on different platforms -VB/Stored Procs, CORBA, J2EE, Hibernate, REST
  4. Shown JSON, XML, SQL TDS, and ODATA – many formats and translations to a single REST JSON API
  5. Many similarities and a few differences – NO SCHEMA & No Transactions are big ones
  6. Language syntax differences – pipeline (programmer does the order of operations in MongoDB)
  7. Scalable (replica, sharding, clusters) – split slides (Atomicity, Consistency, Isolation, Durability)
  8. REST is simply and easy to consume (hide abstraction). Great for Mobile apps and for public consumption of information (see. Healthcare.gov) -- Need to be a REST Server
  9. A lot to learn and a lot to build (left side) then you need to figure out where and how to maintain and store the meta data. This is before you pick your Mobile front-end
  10. Clock/race car
  11. A Complete stack with a UI to edit and manage every aspect of building and delivery of RESTful API’s connect to SQL and MongoDB (as well as any backend service)
  12. Demo starts here
  13. Point and Click, Alias and Format columns, filters, sorts (Live Demo) – No Jagging
  14. Live Demo
  15. Select any table, view, stored procedure, or user-defined resource - Live Demo
  16. Instant documentation using Swagger Spec
  17. Security, Business Logic
  18. Connect, Create resources, test (mongo and sql) in single REST
  19. Architecture REST Resources Data Integration Security Logic Tutorial Live Browser (Instant View UI)