In this joint webinar between Sisense and Simba you will learn how to access, prepare and analyze data in MongoDB using Sisense BI. Sisense Product Manager Evan Castle goes over a sample automated analytics workflow for MongoDB leveraging Simba ODBC connectivity, schema auto-discovery and customization. You can watch the video recording at http://www.simba.com/webinar/operations-insights-mongodb-sisense-simba-odbc/

2. Simba Connects
De facto standard connectivity
for major Hadoop distributions,
leading NoSQL & BI tools
Co-created original ODBC
specification with Microsoft
Shipped the first ODBC driver
for Hadoop Hive
Compliance with SQL-92 & the
latest data connectivity
standards
ODBC 3.8 & JDBC 4.2
Collaborative Query Execution,
fastest performance &
advanced deployment options
Automatic schema discovery
and re-normalization
Support for engineers by
engineers
Widest platform support,
including Windows, Mac,
Linux, Un*x & iOS

3. Customers who license & ship
Simba's connectivity with their products

4. A few of our customers who use
Simba MongoDB drivers

5. Customer Feedback
It just works!..
Automatic
schema generation
works great...
I don't need to know MongoDB
query language!
Great compatibility
with my <BI tool>...
Really good performance
even on a laptop
Gets the job done

6. Simba's Data Connectivity Drivers
& SDKs

7. Thank you.
www.simba.com
Coming up next
a presentation by Evan Castle,
Sisense Product Manager
↓

8. From Operations to Insights
with MongoDB
Speaker: Evan Castle, Product Manager

9. → The Analytical Challenges of MongoDB
→ Example: Customer Use Case for MongoDB
→ Example: Sisense Analytics Driven by MongoDB
Agenda
→ Advantages of Sisense and MongoDB

10. • Unstructured schemas are poor for analytics
• Difficult to mashup different data sources
• MongoDB is a technical environment, how do
you leverage existing skillsets to analyze
MongoDB
• Not scalable for analytics purposes
The Analytical Challenges of MongoDB

11. Operational Data vs. Analytical Data
MongoDB Operational
Benefits
Sisense Analytical Benefits
Dynamic Schema Robust Renormalization
Easy for Programmers Easy for Analysts
Many Attributes Support Many Attributes
Horizontal Scaling Support Big Data

12. • SQL on NoSQL
• ETL and Easy Visualization
• Mashup Multiple Sources
• Fast Columnar Data Store
• Complex data Immediate query results
• SSL Support
• Intelligent Renormalization
• Performance – aggregation, buffering, batching
Advantages of Sisense on MongoDB

13. 360 Degree View Of Mongodb And All Business Data
• Central location
• Multiple Sources
• Support complex columnar models
Automatic, Visualized Insight for Everyone
• ETL for business
• High performance on large complex data sets
• Visual front end
Sisense Analytics Driven by MongoDB

14. Customer Use Case for MongoDB
• Reduce time to insight
• Work Flow Automation
• Scale New Services
• Managed by business

15. Demo
Auto detection
Auto or opportunity to make schema changes
Virtual Tables
Auto or opportunity to make schema changes
Columnar Solution
Sisense offers the ability to analyze data with many columns like MongoDB
Mashup
Drag and Drop mashup
Interactive Dashboards
Anyone can answer complex business questions

16. Thank you