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Google Analytics is a web analytics service offered by Google that tracks and reports website traffic. Steps to add this slice to your installation. The steps to launch your slice are: Generate Google API keys; Specify the slice config; Add the Google Analytics slice; 1. Generate Google API keys Setup requirements. Google is now using OAuth for authentication which is great. The only issue is that I only need ONE access token. I don't wanna allow other users to fetch THEIR analytics data. I just wanna be able to fetch MY data. Is there a way I can generate an access token only for my app or my analytics account? I know such solutions exists.
Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications. All of Google. Sign in to continue to Google Analytics Enter your email. Find my account Sign in with a different account Create account One Google Account for everything Google. Google Tag Manager is a free tool you can use to manage multiple analytics and site-tracking tags. To use Google Tag Manager to install your Analytics tag, read the Google Tag Manager setup and installation article.
This post helps you with loading your data from Google Analytics to MS SQL Server. If you are looking to get analytics-ready data without the manual hassle you can integrate Google Analytics to MS SQL Server with Blendo, so you can focus on what matters, getting value out of your analytics data.
Access your data on Google Analytics
2020-4-12 The Google Analytics API services represent a free, powerful method of implementing statistics for your website. Also includes support for the Analytics API, what you need in order to implement this is a Google Analytics username, password, API key and a Web property ID. 2020-4-13 How to generate the FoD keys for accessing IMM console in PureData System for Analytics? - Login if you already have an access or Sign up: Choose the 'Retrieve history' option.
The first step in loading your Analytics data to any kind of data warehouse solution, is to access them and start extracting it.
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Overview
Google Analytics is a web analytics service offered by Google that tracks and reports website traffic
Steps to add this slice to your installation
The steps to launch your slice are:
Google Analytics Code
- Generate Google API keys
- Specify the slice config
- Add the Google Analytics slice
1. Generate Google API keys
Setup requirements
Before getting started please make sure to have the following information:
- Access to an active Google account
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Setup instructions
- Get Google Analytics OAuth credentials
- Log into Google Developer Console for your account and select (or create) project https://console.developers.google.com/apis/api/analyticsreporting.googleapis.com/overview
- Click on Credentials to create OAUTH2 Client Ids.
- Click on the created client id to store it in a json file.
- Use the client_id obtained in step 3 in the following url and go to this url in a browser(safari is better with error messages):
- You will be prompted to log in with your google credentials and also prompted to allow access to Google access the url with your credentials
You will then be redirected to with a page like this:Save the code parameter. The code can be redeemed only once. If it is already redeemed, it will throw an error and step 4 needs to be repeated to get a valid code.- Now, run the following command using a terminal:
The response will be like:You will need to use client id, client secret, access token and refresh token. - Provide View Id of the projectIn Google Analytics web consoleClick Admin > View > View Settings > IdThis
Id
needs to be saved in the runtimeConfig file asview_id
.
2. Specify the slice config
To get a template for the Google Analytics slice configuration save the output of the
describe --input-parameters
command as follows:Google Analytics China
Necessary input parameters:
view_id
- The Consumer Key from the connected app definition.client_id
- OAuth client idclient_secret
- OAuth client secretaccess_token
- OAuth access tokenrefresh_token
- OAuth refresh tokenloadunits
- for each load unit you can specify the following parameters: ( Please refer to https://developers.google.com/analytics/devguides/reporting/core/dimsmets to get the list of load units and the supported metrics and dimensions for each load unit )metrics
- The list of metrics to be fetched for the load unit.dimensions
- The list of dimensions to be fetched for the load unit.
Optional input parameters:
for datasource:
schedule
- in cron format
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schedule
- cron format. You can define a different schedule for the table from the global schedule set above.filters
: dimensions filters
Example templates:
3. Add the Slice
Google Analytics Dashboard
slice-name
Name of your slice. A schema with your slice-name is automatically created in your warehouseparams-file
File path to your input parameters file. Ex. googleanalytics_parameters_file.json
Supported load units
analytics
Slice output
Output of this slice is stored in S3 and Redshift.
Google Analytics Certification
AWS S3Data stored in AWS S3 is partitioned by date and time in the following bucket
s3//:customer_installation.datacoral/<sliceName>
AWS Redshift:Schema - schema name will be same as a slice-name.Tables produced by the slice are:
Generate Keys For Google Analytics Accessories
Questions? Interested?
Generate Keys For Google Analytics Access Code
If you have questions or feedback, feel free to reach out at [email protected] or Request a demo