supports a great variety of data sources.
If you are making query runner, variety connect data source.
write by Python.
Business intelligence tool is very high cost.
If you use AWS, for small deployments t2.micro should be
We regist 250 queries, using instance type is m3.medium.
memory size is 3.75GB.
Minimum effort visualization
csv and image export
you will release from the Excel pain!
With deploy runs DB migration.
one command update.
fab -Hredash01 -uubuntu deploy_latest_release
recommended clear cache after upgrade...
Query Results Cache in PostgreSQL.
Do not run unnecessary SQL
See the results and come to the company in morning, not
So Google Bigquery is Query pricing, one query results can
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.
open source distributed SQL query engine.
Presto can join multiple data sources.
We join mysql and redshift by Presto.
Ansi SQL Syntax.
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.
registered 300 queries
1.8GB disk used
old chache is automatically delete
date and time range filter.
scheduling query with cron syntax.
define csv encoding with environment.