More often than not, when setting up or installing a new piece of software, one must fill the monotony of waiting with something else. If you’re like me, then this is normally the perfect time to make a hot beverage – and being British, the hot beverage of choice for me is almost always tea. However, MongoDB Charts on Atlas is so incredibly fast to setup and so easy to get started with, that I claim that there isn’t sufficient time to make a cup of tea. To prove this claim, I will demonstrate how to get started in visualising your data with MongoDB Charts on Atlas, all while racing the clock to brew the perfect cup of tea. By attending this session you will learn: How to setup MongoDB Charts on Atlas. The capabilities and features of MongoDB Charts. How to visualise your data in a meaningful way. And also... how to make a proper cup of tea. Attendees of any level of experience are welcome, though having a basic understanding of how to create a project and deploy a cluster in MongoDB Atlas is recommended (as these steps are not covered by this session).

1. Matt Fairbrass, Senior Software Engineer – MongoDB Charts
Simplici-tea: Getting started with
MongoDB Charts on Atlas
@matt_d_rat mattfairbrass

2. Matt Fairbrass
Senior Software Engineer, MongoDB Charts

4. ‘Bondi Beach, Sydney, Australia’ by Curtis Simmons
CC BY-NC 2.0

5. Topics
Data Visualization Tea

6. http://bit.ly/tea-survey

7. Data Visualization
What is it? Why does it matter?

8. 90% of all data, has been created in
the last two years.
10 Key Marketing Trends for 2017
IBM

9. By 2020, there will be around
40 trillion gigabytes of data
(40 zettabytes)!
The Digital Universe in 2020
International Data Corporation (IDC)

10. Less than 1% of all data is currently
analyzed.
The Digital Universe in 2020
International Data Corporation (IDC)

11. Drowning in data,
thirsting for insight.
All of this data is hard to sift
through and make sense of.
Data visualization enables you
to gain insights into your data
at a glance.
‘Business man set with different poses’ designed by pikisuperstar / Freepik.
‘Drowning in Data’ designed by Matt Fairbrass.

12. Tables

13. Document Model TablesBI Connector

14. MongoDB Charts

15. The best way to work
with data
• Create visualizations in
seconds.
• Built for the MongoDB
document model – work with
rich hierarchical data
including arrays and
subdocuments.

16. Intelligent data
distribution
• No data movement or
duplication.
• Workload Isolation to
separate analytical and
transactional workloads.

17. Freedom to run
anywhere
• Run in MongoDB Atlas – no
infrastructure, installation or
upgrades.
• Or run on-prem – access any
data, control your
environment.

18. So what does all of this
have to do with tea?

20. Demo

21. What have we learned today?
• Through data visualization we can gain insights into the data we
collect, allowing us to make actionable decisions.
• MongoDB Charts is the best way to natively analyze data stored as
documents.
• Making the perfect cup of tea requires time and patience, getting
started with MongoDB Charts on Atlas does not.

22. Resources
• Learn more about MongoDB Charts:
https://www.mongodb.com/products/charts
• Sign up for MongoDB Charts on Atlas:
https://cloud.mongodb.com
• Download and Install MongoDB Charts on-prem:
https://www.mongodb.com/download-center/charts

23. Want to learn more?
• More MongoDB Charts talks:
o ‘Get the Best of Geo Data with MongoDB Atlas and MongoDB Charts’
- Guillaume Meister. June 17 3:15pm.
o ‘Go on a Data Safari with MongoDB Charts!’
- Tom Hollander. June 18 3:00pm / June 19 9:30am.
• Stop by the Charts booth for a hands on demo. June 17/18.
• Test drive Charts at the Builder’s Fest sessions. June 19.
• Reach out to me on social media: @matt_d_rat mattfairbrass

24. Please provide Session Feedback
1. Go to slido.com
2. Enter event code #MDBW19
3. Click on Room Name and Provide Session Feedback
Feedback poll will remain open for 10 minutes after the talk ends.
Questions?
Meet me now in the Leaf Lounge on the second floor of the
Partner Pavilion.
YOU ARE IN SUTTON NORTH