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#MDBlocal
Munish Kapoor
Sr Solutions Architect
SANFRANCISCO
Go on a Data Safari
with MongoDB Charts!
#MDBLocal
Agenda
Everyone’s a Data Analyst
Meet your Data
Data Safari: The Hunt for Insights
Sharing Insights with the World
#MDBLocal
Organizations that figure out how to use their data to gain
insights are winning
Helping uncover these insights is increasingly important
across many roles, not just people with a Data Analyst job
title
Everyone’s a data analyst
#MDBLocal
Your job title is XXXXXXXXXXXXXXXXXXX
Your organization captures lots of data about XXXXXXXXXX
You need to gain more insights about XXXXXXXXXXXXXXX
in order to help your company XXXXXXXXXXXXXXXX
Everyone’s a data analyst
#MDBLocal
Your job title is Entertainment Writer
Your organization captures lots of data about Movies
You need to gain more insights about how movies have
changed over time
in order to help your company gain readers loving your
awesome feature articles.
Everyone’s a data analyst
#MDBLocal
Your company has an
extensive database of
movie data, hosted in
MongoDB Atlas
And uses many MongoDB
features: different data
types, embedded
documents and arrays,
and flexible schema.
This collection is
available in the Atlas
Sample Dataset!
Your data
{
_id: ObjectId(573a1398f29313caabce94a3),
plot: "Spinal Tap, one of England's loudest bands, is chronicled by film director...",
genres: [ "Comedy", "Music" ],
runtime: 82,
metacritic: 85,
rated: "R",
cast: [ "Rob Reiner", "Kimberly Stringer", "Chazz Dominguez", "Shari Hall" ],
poster: "https://m.media-amazon.com/images/M/MV5BMTQ2MIzM5NlT...",
title: "This Is Spinal Tap",
fullplot: "In 1982 legendary British heavy metal band Spinal Tap attempt an ...",
languages: [ "English" ],
released: ISODate(1984-03-02T00:00:00.000+00:00),
directors: [ "Rob Reiner" ],
writers: [ "Christopher Guest", "Michael McKean", "Harry Shearer", "Rob Reiner" ],
awards: {
wins: 3,
nominations: 2,
text: "3 wins & 2 nominations." },
lastupdated: ISODate("2015-09-10 17:06:40.720000000"),
year: 1984,
imdb: {
rating: 8,
votes: "",
id: 88258 },
countries: [ "USA" ],
type :"movie"
}
#MDBLocal
Searching for Insights
So what are we going to write about?
The Hunt for Insights
1
Are movies getting longer or shorter?
Are movies getting better or worse?
When is the most common month to release a new movie?
The Hunt for Insights
1
Are movies getting longer or shorter?
Are movies getting better or worse?
When is the most common month to release a new movie?
Number Binning
Date Binning
Query Bar Filters
Duplicating Charts
The Hunt for Insights
1
What country makes the best movies?
How are genres changing in popularity over time?
2
Number Binning
Date Binning
Query Bar Filters
Duplicating Charts
The Hunt for Insights
1
What country makes the best movies?
How are genres changing in popularity over time?
2
Number Binning
Date Binning
Query Bar Filters
Duplicating Charts
Array Reductions
Geospatial Charts
100% Stacked Charts
The Hunt for Insights
1
How many movies has Kevin Bacon been in? (And which should I see?)
Which directors have had the most success at winning awards?
Which leading actors generate the most comments? (And were their movies any good?)
2
Number Binning
Date Binning
Query Bar Filters
Duplicating Charts
Array Reductions
Geospatial Charts
100% Stacked Charts
3
The Hunt for Insights
1
How many movies has Kevin Bacon been in? (And which should I see?)
Which directors have had the most success at winning awards?
Which leading actors generate the most comments? (And were their movies any good?)
2
Number Binning
Date Binning
Query Bar Filters
Duplicating Charts
Array Reductions
Geospatial Charts
100% Stacked Charts
3
Filtering Pane
Number Charts
Query Bar Aggregations
Data Tables
#MDBLocal
Sharing it with the World
Share dashboards with others
this is best suited for collaboration within your team/company
Embed charts to share more broadly
Two authentication models:
• Unauthenticated for non-sensitive data
• Verified Signature for sensitive data
1
2
#MDBLocal
Your Charting Gear for the Safari
1. Rich document structure support
2. No data movement or duplication – no more ETL
3. Separated workloads - analytical and transactional
4. Run anywhere - as-a-service in Atlas or on-premise
#MDBLocal
Takeaways
• Data is multiplying, and making sense of it is more important than ever
• MongoDB Charts is a great tool to help you answer recurring and ad-hoc
questions
• Compose your charts onto dashboards or share via embedding
• Adam Sandler’s movies engage users online, but under no circumstances should
you watch one
#MDBLocal
Resources
Learn more about Charts:
https://mongodb.com/charts
Sign up for Atlas and Charts:
https://cloud.mongodb.com
Download Charts On-Prem:
https://www.mongodb.com/download-center/charts
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!

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MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!

  • 1. #MDBlocal Munish Kapoor Sr Solutions Architect SANFRANCISCO Go on a Data Safari with MongoDB Charts!
  • 2. #MDBLocal Agenda Everyone’s a Data Analyst Meet your Data Data Safari: The Hunt for Insights Sharing Insights with the World
  • 3. #MDBLocal Organizations that figure out how to use their data to gain insights are winning Helping uncover these insights is increasingly important across many roles, not just people with a Data Analyst job title Everyone’s a data analyst
  • 4. #MDBLocal Your job title is XXXXXXXXXXXXXXXXXXX Your organization captures lots of data about XXXXXXXXXX You need to gain more insights about XXXXXXXXXXXXXXX in order to help your company XXXXXXXXXXXXXXXX Everyone’s a data analyst
  • 5. #MDBLocal Your job title is Entertainment Writer Your organization captures lots of data about Movies You need to gain more insights about how movies have changed over time in order to help your company gain readers loving your awesome feature articles. Everyone’s a data analyst
  • 6. #MDBLocal Your company has an extensive database of movie data, hosted in MongoDB Atlas And uses many MongoDB features: different data types, embedded documents and arrays, and flexible schema. This collection is available in the Atlas Sample Dataset! Your data
  • 7. { _id: ObjectId(573a1398f29313caabce94a3), plot: "Spinal Tap, one of England's loudest bands, is chronicled by film director...", genres: [ "Comedy", "Music" ], runtime: 82, metacritic: 85, rated: "R", cast: [ "Rob Reiner", "Kimberly Stringer", "Chazz Dominguez", "Shari Hall" ], poster: "https://m.media-amazon.com/images/M/MV5BMTQ2MIzM5NlT...", title: "This Is Spinal Tap", fullplot: "In 1982 legendary British heavy metal band Spinal Tap attempt an ...", languages: [ "English" ], released: ISODate(1984-03-02T00:00:00.000+00:00), directors: [ "Rob Reiner" ], writers: [ "Christopher Guest", "Michael McKean", "Harry Shearer", "Rob Reiner" ], awards: { wins: 3, nominations: 2, text: "3 wins & 2 nominations." }, lastupdated: ISODate("2015-09-10 17:06:40.720000000"), year: 1984, imdb: { rating: 8, votes: "", id: 88258 }, countries: [ "USA" ], type :"movie" }
  • 8. #MDBLocal Searching for Insights So what are we going to write about?
  • 9. The Hunt for Insights 1 Are movies getting longer or shorter? Are movies getting better or worse? When is the most common month to release a new movie?
  • 10. The Hunt for Insights 1 Are movies getting longer or shorter? Are movies getting better or worse? When is the most common month to release a new movie? Number Binning Date Binning Query Bar Filters Duplicating Charts
  • 11. The Hunt for Insights 1 What country makes the best movies? How are genres changing in popularity over time? 2 Number Binning Date Binning Query Bar Filters Duplicating Charts
  • 12. The Hunt for Insights 1 What country makes the best movies? How are genres changing in popularity over time? 2 Number Binning Date Binning Query Bar Filters Duplicating Charts Array Reductions Geospatial Charts 100% Stacked Charts
  • 13. The Hunt for Insights 1 How many movies has Kevin Bacon been in? (And which should I see?) Which directors have had the most success at winning awards? Which leading actors generate the most comments? (And were their movies any good?) 2 Number Binning Date Binning Query Bar Filters Duplicating Charts Array Reductions Geospatial Charts 100% Stacked Charts 3
  • 14. The Hunt for Insights 1 How many movies has Kevin Bacon been in? (And which should I see?) Which directors have had the most success at winning awards? Which leading actors generate the most comments? (And were their movies any good?) 2 Number Binning Date Binning Query Bar Filters Duplicating Charts Array Reductions Geospatial Charts 100% Stacked Charts 3 Filtering Pane Number Charts Query Bar Aggregations Data Tables
  • 15. #MDBLocal Sharing it with the World Share dashboards with others this is best suited for collaboration within your team/company Embed charts to share more broadly Two authentication models: • Unauthenticated for non-sensitive data • Verified Signature for sensitive data 1 2
  • 16. #MDBLocal Your Charting Gear for the Safari 1. Rich document structure support 2. No data movement or duplication – no more ETL 3. Separated workloads - analytical and transactional 4. Run anywhere - as-a-service in Atlas or on-premise
  • 17. #MDBLocal Takeaways • Data is multiplying, and making sense of it is more important than ever • MongoDB Charts is a great tool to help you answer recurring and ad-hoc questions • Compose your charts onto dashboards or share via embedding • Adam Sandler’s movies engage users online, but under no circumstances should you watch one
  • 18. #MDBLocal Resources Learn more about Charts: https://mongodb.com/charts Sign up for Atlas and Charts: https://cloud.mongodb.com Download Charts On-Prem: https://www.mongodb.com/download-center/charts