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###### (you're welcome to connect with me on LinkedIn)
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### Inventory
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#### DevOps SQL tooling
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You can quickly test the PostgreSQL / MySQL scripts using `postgres.sh` / `mysqld.sh` / `mariadb.sh` in the [DevOps Bash tools](https://github.com/harisekhon/devops-bash-tools) repo, which boots a docker container and drops straight in to a `mysql` / `psql` shell with this directory mounted at `/sql` and used as `$PWD` for fast easy sourcing eg.
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You can quickly test the PostgreSQL / MySQL scripts using `postgres.sh` / `mysqld.sh` / `mariadb.sh` in the [DevOps Bash tools](https://github.com/HariSekhon/DevOps-Bash-tools) repo, which boots a docker container and drops straight in to a `mysql` / `psql` shell with this directory mounted at `/sql` and used as `$PWD` for fast easy sourcing eg.
-[Kubernetes configs](https://github.com/HariSekhon/Kubernetes-configs) - Kubernetes YAML configs - Best Practices, Tips & Tricks are baked right into the templates for future deployments
-[The Advanced Nagios Plugins Collection](https://github.com/harisekhon/nagios-plugins) - 450+ programs for Nagios monitoring your Hadoop & NoSQL clusters. Covers every Hadoop vendor's management API and every major NoSQL technology (HBase, Cassandra, MongoDB, Elasticsearch, Solr, Riak, Redis etc.) as well as message queues (Kafka, RabbitMQ), continuous integration (Jenkins, Travis CI) and traditional infrastructure (SSL, Whois, DNS, Linux)
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-[The Advanced Nagios Plugins Collection](https://github.com/HariSekhon/Nagios-Plugins) - 450+ programs for Nagios monitoring your Hadoop & NoSQL clusters. Covers every Hadoop vendor's management API and every major NoSQL technology (HBase, Cassandra, MongoDB, Elasticsearch, Solr, Riak, Redis etc.) as well as message queues (Kafka, RabbitMQ), continuous integration (Jenkins, Travis CI) and traditional infrastructure (SSL, Whois, DNS, Linux)
Copy file name to clipboardExpand all lines: analytics/bigquery_ecommerce_time_on_site.sql
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-- If you're using my code you're welcome to connect with me on LinkedIn and optionally send me feedback to help steer this or other code I publish
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-- https://www.linkedin.com/in/harisekhon
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-- https://www.linkedin.com/in/HariSekhon
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-- looking at bounces and time on site are not good features for model training and prediction since of the top 10 customers by time on site only 1 purchased!
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