Introduction to SQL for BigQuery and Cloud SQL

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You must complete a series of tasks within the allocated time period. Instead of following step-by-step instructions, you'll be given a scenario and a set of tasks - you figure out how to complete it on your own! An automated scoring system (shown on this page) will provide feedback on whether you have completed your tasks correctly.

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Challenged labs links :--

Create and Manage Cloud Resources :

Perform Foundational Infrastructure Tasks in Google Cloud

Build and Secure Networks in Google Cloud

Deploy to Kubernetes in Google Cloud

Set Up and Configure a Cloud Environment in Google Cloud

Implement DevOps in Google Cloud

Ensure Access & Identity in Google Cloud

Build Interactive Apps with Google Assistant

Integrate with Machine Learning APIs

Build a Website on Google Cloud

Perform Foundational Data, ML, and AI Tasks in Google Cloud

Insights from Data with BigQuery

Create ML Models with BigQuery ML

Engineer Data in Google Cloud

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Overview
SQL (Structured Query Language) is a standard language for data operations that allows you to ask questions and get insights from structured datasets. It's commonly used in database management and allows you to perform tasks like transaction record writing into relational databases and petabyte-scale data analysis.

This lab serves as an introduction to SQL and is intended to prepare you for the many labs and quests in Qwiklabs on data science topics. This lab is divided into two parts: in the first half, you will learn fundamental SQL querying keywords, which you will run in the BigQuery console on a public dataset that contains information on London bikeshares.

In the second half, you will learn how to export subsets of the London bikeshare dataset into CSV files, which you will then upload to Cloud SQL. From there you will learn how to use Cloud SQL to create and manage databases and tables. Towards the end, you will get hands-on practice with additional SQL keywords that manipulate and edit data.

Objectives
In this lab, you will learn how to:

Distinguish databases from tables and projects.
Use the SELECT, FROM, and WHERE keywords to construct simple queries.
Identify the different components and hierarchies within the BigQuery console.
Load databases and tables into BigQuery.
Execute simple queries on tables.
Learn about the COUNT, GROUP BY, AS, and ORDER BY keywords.
Execute and chain the above commands to pull meaningful data from datasets.
Export a subset of data into a CSV file and store that file into a new Cloud Storage bucket.
Create a new Cloud SQL instance and load your exported CSV file as a new table.
Run CREATE DATABASE, CREATE TABLE, DELETE, INSERT INTO, and UNION queries in Cloud SQL.
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i am unable to create connection even after refreshing the page

sheetalprasad
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When I click on "View Dataset" then in BigQuery (new tab) it shows that To view the page, Select a project..
What is the solution?

AmanLM
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hello sir i am unable find the option 'bigquery-public-data' in my account please sort it

telukuntlaphanindhar
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Bro at starting I am not getting the same when u click on view database

poornachandrag
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I didn't get the same interface after clicking on view datashet... What can I do??

singhtanisha
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great video sir . it is very helpfull for us to complete our lab

sourabhtewatia
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i can't enter password in console !!

lovekeshsingh
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I create bucket is not working... It is asking for signup i have already sign in with my account.... And during sign up it is account for credit card number

aasthagoyal
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hi...can u happen to send me those 2 csv files please.. i have a problem with this lab.

a.haripriya
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What is root password in query for last task

krishnachotaliya
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The password is not visible, you just enter the password and press enter ...

khoanguyenvoanh
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Very Nice video but Complete to krva dete, ye kya baat hui leave it as it is after getting 100% 😶

indianheritage
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Iam trying from half an hour not able to enter password

thullurupremchand