et up a Google Cloud Platform account. Create a BigQuery dataset named “order_entry_dataset” in your GCP Project. Copy all of the tables from the `handy-bonbon-142723.order_entry_dataset` to your own order_entry_dataset dataset (see example code below). Table names are: products, customers, orders, order_items, promotions, salesreps, warehouses, and inventories. To copy the tables, create an order_entry_dataset in your own GCP Project and then run queries like this (for each table): CREATE TABLE `order_entry_dataset.customers` AS SELECT * FROM `handy-bonbon-142723.order_entry_dataset.customers` Which month (be sure to say from which year) had the largest percentage increase in sales over the prior month? Justify your rationale and show your SQL query (Hint: use the LAG function).

Oracle 12c: SQL
3rd Edition
ISBN:9781305251038
Author:Joan Casteel
Publisher:Joan Casteel
Chapter6: Additional Database Objects
Section: Chapter Questions
Problem 6HOA: A new table has been requested to support tracking automated emails sent to customers. Create the...
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Set up a Google Cloud Platform account. Create a BigQuery dataset named “order_entry_dataset” in your GCP Project. Copy all of the tables from the `handy-bonbon-142723.order_entry_dataset` to your own order_entry_dataset dataset (see example code below).

  • Table names are:

    products, customers, orders, order_items, promotions, salesreps, warehouses, and inventories.

  • To copy the tables, create an order_entry_dataset in your own GCP Project and then run queries like

    this (for each table):

    CREATE TABLE `order_entry_dataset.customers` AS

    SELECT * FROM `handy-bonbon-142723.order_entry_dataset.customers`

    1. Which month (be sure to say from which year) had the largest percentage increase in sales over the prior month? Justify your rationale and show your SQL query (Hint: use the LAG function).

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