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).
SQL
SQL stands for Structured Query Language, is a form of communication that uses queries structured in a specific format to store, manage & retrieve data from a relational database.
Queries
A query is a type of computer programming language that is used to retrieve data from a database. Databases are useful in a variety of ways. They enable the retrieval of records or parts of records, as well as the performance of various calculations prior to displaying the results. A search query is one type of query that many people perform several times per day. A search query is executed every time you use a search engine to find something. When you press the Enter key, the keywords are sent to the search engine, where they are processed by an algorithm that retrieves related results from the search index. Your query's results are displayed on a search engine results page, or SER.
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).
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Table names are:
products, customers, orders, order_items, promotions, salesreps, warehouses, and inventories.
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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` ASSELECT * FROM `handy-bonbon-142723.order_entry_dataset.customers`
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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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