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README.md

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- [analytics/](https://github.com/HariSekhon/SQL-scripts/tree/master/analytics)`bigquery_*.sql` - ecommerce queries and [BigQuery ML](https://cloud.google.com/bigquery-ml/docs/bigqueryml-intro) machine learning classification logistic regression models and purchasing predictions
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- for more [BigQuery](https://cloud.google.com/bigquery) examples, see [Data Engineering demos](https://github.com/GoogleCloudPlatform/training-data-analyst/tree/master/courses/data-engineering/demos)
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### Database Knowledge Base
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See the pages for:
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- [SQL](https://github.com/HariSekhon/Knowledge-Base/blob/main/sql.md)
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- [SQL Databases](https://github.com/HariSekhon/Knowledge-Base/blob/main/databases.md)
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- [MySQL](https://github.com/HariSekhon/Knowledge-Base/blob/main/mysql.md)
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- [PostgreSQL](https://github.com/HariSekhon/Knowledge-Base/blob/main/postgres.md)
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- [Oracle](https://github.com/HariSekhon/Knowledge-Base/blob/main/oracle.md)
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in the [HariSekhon/Knowledge-Base](https://github.com/HariSekhon/Knowledge-Base) repo:
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[![Readme Card](https://github-readme-stats.vercel.app/api/pin/?username=HariSekhon&repo=Knowledge-Base&theme=ambient_gradient&description_lines_count=3)](https://github.com/HariSekhon/Knowledge-Base)
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### DevOps SQL tooling
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[![Readme Card](https://github-readme-stats.vercel.app/api/pin/?username=HariSekhon&repo=DevOps-Bash-tools&theme=ambient_gradient&description_lines_count=3)](https://github.com/HariSekhon/DevOps-Bash-tools)
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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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postgres:
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- [hive_tables_column_counts.sh](https://github.com/HariSekhon/DevOps-Bash-tools/blob/master/bigdata/hive_tables_column_counts.sh) / [impala_tables_column_counts.sh](https://github.com/HariSekhon/DevOps-Bash-tools/blob/master/bigdata/impala_tables_column_counts.sh) - get the column counts for big tables in Hive / Impala
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- [hive_tables_metadata.sh](https://github.com/HariSekhon/DevOps-Bash-tools/blob/master/bigdata/hive_tables_metadata.sh) / [impala_tables_metadata.sh](https://github.com/HariSekhon/DevOps-Bash-tools/blob/master/bigdata/impala_tables_metadata.sh) / [hive_tables_locations.sh](https://github.com/HariSekhon/DevOps-Bash-tools/blob/master/bigdata/hive_tables_locations.sh) / [impala_tables_locations.sh](https://github.com/HariSekhon/DevOps-Bash-tools/blob/master/bigdata/impala_tables_locations.sh) - get Hive / Impala metadata for all or a subset of tables, eg. Location to determine where the external tables data is being stored (HDFS / S3 paths)
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## Stargazers over time
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## Star History
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[![Stargazers over time](https://starchart.cc/HariSekhon/SQL-scripts.svg)](https://starchart.cc/HariSekhon/SQL-scripts)
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[![Star History Chart](https://api.star-history.com/svg?repos=HariSekhon/SQL-scripts&type=Date)](https://star-history.com/#HariSekhon/SQL-scripts&Date)
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[git.io/SQL](https://git.io/SQL)
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