re:dash is a tool for sharing SQL queries, visualizing results, and scheduling automated refreshes. It supports connecting to various data sources, provides a low-cost option on AWS, and enables caching of query results for improved performance. Key features include sharing queries with team members, running queries on a schedule, connecting to backends like PostgreSQL, and programming visualizations and parameters through the HTTP API. It also focuses on security features such as authentication, authorization, auditing, and SSL encryption.

1. re:dash is awesome

3. Agenda
1. Main Feature
2. Build
3. Programmable
4. Security
5. Our use case
6. Summary

4. Main Feature

5. Main Feature
sharing query
scheduling query
Pluggable Backend
Low cost
Caching

6. sharing query
can share sql between members
We use . But ansi sql syntax is extremely hard so
can review sql.
Reuse query another member.
fork can do sql
Presto

7. schedule query
refresh interval
per minute, per hour
Specify the time
every day
not cron syntax

9. Pluggable backends
supports a great variety of data sources.
If you are making query runner, variety connect data source.
write by Python.
See.
https://github.com/EverythingMe/redash/tree/master/redash

10. Data Source

11. Low Cost
Business intelligence tool is very high cost.
If you use AWS, for small deployments t2.micro should be
enough.
We regist 250 queries, using instance type is m3.medium.
memory size is 3.75GB.
1 CPU.

12. Minimum effort visualization
write query
create graph
csv and image export
you will release from the Excel pain!

13. easy update
download.
With deploy runs DB migration.
one command update.
https://gist.githubusercontent.com/arikfr/440d1403b4aeb76e
fab -Hredash01 -uubuntu deploy_latest_release
recommended clear cache after upgrade...

14. Caching
Query Results Cache in PostgreSQL.
Do not run unnecessary SQL
See the results and come to the company in morning, not
need wait!
So Google Bigquery is Query pricing, one query results can
share.

15. Build

16. Build
Setup Script
AWS EC2 AMI
Google Compute Engine image
※ recommended to use ubuntu.

17. Dependencies
Python
Nginx
Celery
Distributed Task Queue
PostgreSQL
Redis

18. WE love OSS♥
can read a code.
We can trust a code.
if Well do not know behaviors, read the code.
many contributions on github.
330 closed pull requests.

19. Programmable

20. Programmable
Parameters
http API
visualization your API and your python code.

21. GET parameter
can write sql by mustache template.
select * from user where = {{id}}
http://demo.redash.io/queries/146?p_id=1
start with http string become to link.

22. HTTP API
re:dash have rest API.
API KEY can be per user and per query.
curl 'https://redash/api/queries/194/results.json?
api_key=XXXXX'
API KEY can modify by user.(ver 0.8)

23. visualization your API
visualization your json API.
See format.
Also visualization your python code, print same format.
http://docs.redash.io/en/latest/dev/results_format.html

24. security

25. Management GUI
very simply.
add user and group.
modify permission.
view event log.
execute query
view
create
etc..

27. Audit logging
view
login
create
api_get
update
subscribe
unsubscribe
edit
execute
autorefresh
etc..

28. permission management
Can set permissions for each Member.
Grant permissions to groups.
Members belong to group.
Also, can belong to multiple groups.

29. permission management
create_dashboard
create_query
edit_dashboard
edit_query
view_query
view_source
execute_query
admin

30. Google Apps authentication
you can Data linkage your google account.
defaults admin/admin account delete is better.
Can disable password login As below.
export REDASH_PASSWORD_LOGIN_ENABLED=false

31. SSL(https) Connection
You can connect with SSL.
Need modify nginx configuration.
see. http://docs.redash.io/en/latest/misc/ssl.html

32. Our SSL Setting

33. Other Feature
SAML Authentication
Threshold Alert

34. our use case

35. our use case
action history and log data stores in Redshift, User and
master data in mysql.
data analytics complete only sql as possible.
I do not want to write code as possible for analytics.
We often write complicatedly sql.

36. Using Datasource
Mysql
PostgreSQL
Presto(prestogres)
redshift

38. Presto
open source distributed SQL query engine.
Presto can join multiple data sources.
We join mysql and redshift by Presto.
Ansi SQL Syntax.

39. Prestogres
PostgreSQL protocol gateway for Presto.
rewrite queries before sending Presto to PostgreSQL.
re:dash connecte with PostgreSQL protocol to presto.
But can directly connect to presto with current version.

40. Current Status
registered 300 queries
1.8GB disk used
old chache is automatically delete
set environment.

41. Our request..
date and time range filter.
scheduling query with cron syntax.
define csv encoding with environment.

42. Thanks!