1. #MDBEvenings

2. • Introduction to MongoDB - Where We Came From and Where We Are Today - David Lutz, Senior
Solutions Architect, MongoDB
• Running Your MongoDB Deployments in the Cloud with Atlas - Nick Parsons, Developer Advocate,
MongoDB
• Why MongoDB Atlas Makes Sense for Us - Brent Mills, Principal Infrastructure Engineer, Vyopta
• Queries & Results with MongoDB Experts
#MDBEvenings

3. Developer Agility &
Dramatically Reduced Time
to Value
Why are
Companies
Embracing
MongoDB?
Significantly lowers the
total cost of ownership for
an enterprise database
solution
Automated Scaling &
Availability
MongoDB is the #1 NoSQL
database in the market
#MDBEvenings

4. MongoDB Skillset in Demand
Source:
indeed.com
#MDBEvenings

5. MongoDB Leading Worldwide in NoSQL LinkedIn Skills
After three years it has become
clear that in terms of LinkedIn
member profiles there is only
one trend: the total dominance
of MongoDB.”
– Matt Aslett, 451 Group
#MDBEvenings

7. More Functionality to
Support More Models
K-V SQL
DOC
#MDBEvenings

8. MongoDB 3.4 – Multi-Model Database
Document
Rich JSON Data Structures
Flexible Schema
Global Scale
Relational
Left-Outer Join
Views
Schema Validation
Key/Value
Horizontal Scale
In-Memory
Search
Text Search
Multiple Languages
Faceted Search
Binaries
Files & Metadata
Encrypted
Graph
Graph & Hierarchical
Recursive Lookups
GeoSpatial
GeoJSON
2D & 2DSphere
#MDBEvenings

9. • Grouping data into related categories for intuitive
exploration & discovery
• Used in search and analytics applications
• New aggregation pipeline stages for faceting,
bucketing & sorted counts across multiple
dimensions
• Eliminates requirement for external search engine
#MDBEvenings
Faceted Navigation
Advanced Analytics

10. Advanced Analytics
Aggregation Framework
#MDBEvenings

11. Mission-Critical
Applications
#MDBEvenings

12. • Reduces risk of sensitive data exposure
• Separately specified permissions levels
• Views do not alter source collections
• Allows organizations to more easily meet
compliance standards in regulated industries
Views
for Mission-Critical Applications
#MDBEvenings

13. With snappy compression algorithm, network traffic
can be compressed by up to 70%
• Performance benefits in bandwidth-constrained
environments
• Significantly reduce network costs
Intra-Cluster Compression
for Mission-Critical Applications
#MDBEvenings

14. MongoDB Enterprise Tooling
#MDBEvenings

15. • Finer-grained telemetry data
collected every 10 seconds vs every 60 seconds
• Query Execution Visualization
and optimization recommendations!
• Simplified & extended management
Single agent to collect both database and
hardware telemetry
Hardware metrics now collected for Windows &
OSX hosts in addition to Linux
Ops Manager
Higher Resolution Monitoring
#MDBEvenings

16. Cloud Manager
allows you to leverage and
automate the best practices we’ve
learned from thousands of
deployments in a comprehensive
application that helps you run
MongoDB safely and reliably …
in the cloud!
http://cloud.mongodb.com
Ops Manager
Hosted Ops Manager Option Available!
#MDBEvenings

17. • Schema visualization and query optimization
• MongoDB Compass enhancements
• Modify documents – full CRUD
• Find and fix issues in the data
• Create document validation rules
• Optimize query performance with visual explain
plans, index usage, and real-time statistics
• All controlled from a single intuitive and
sophisticated GUI
MongoDB Compass
#MDBEvenings

18. Easily explore your MongoDB data
with SQL-based BI tools such as
Microsoft Excel and SSRS, Tableau,
QlikView, Cognos, Crystal Reports,
Business Objects, Spotfire, and more
MongoDB Connector for BI / SQL
#MDBEvenings

19. • Read the What’s New in MongoDB 3.4 Whitepaper
• Register for the What’s New in 3.4 Webinar
• Actively Listen to Nick Parsons discuss MongoDB Atlas
3.4
Next
#MDBEvenings