Google Analytics Connector for Informatica
Google Analytics Connector can be used to read data from Google Analytics Service without learning complex API. Easy to use interface allows you extract large amount of data adjusting parameters such as dimensions, metrics, filters, sortby, date range etc. You can also use inbuilt reports or specify direct query URL to get desired data.
In this article you will learn how to quickly and efficiently integrate Google Analytics data in Informatica without coding. We will use high-performance Google Analytics Connector to easily connect to Google Analytics and then access the data inside Informatica.
Let's follow the steps below to see how we can accomplish that!
Google Analytics Connector for Informatica is based on which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.
Introduction
JSON / REST API is becoming more and more popular each day as everyone embrace cloud-centric services. This article is primarily focused on Informatica users who want to access Google Analytics data or may be other API Integration in Informatica. However many tips and techniques described in this article will help you to understand how to integrate Google Analytics / XML SOAP / JSON / REST API in other ETL / Reporting apps such as Tableau, Power BI, SSRS, Talend, Excel and many more.
After going through this article you will learn how to Read Google Analytics / JSON / REST API data in Informatica and understand the concept of JSON / REST API. We will go through many screenshots and step-by-step examples to demonstrate Google Analytics or REST API integration in Informatica PowerCenter.
XML / JSON can come from a local file or REST API service (internal or public) so we will include both examples in this article (i.e. Read JSON files in Informatica, Import REST API in Informatica). So let’s get started. Next article will focus on how to write data to API in Informatica (POST / PUT data)
If you need to consume API which is not listed on connector library page then please refer to the below article links. It talks about how to read / write pretty much any API and not just Google Analytics API. It explains various API tips / tricks using our other Universal Drivers not mentioned in this article (i.e. ZappySys JSON / XML and CSV Drivers).
Requirements
This article assumes that you have full filled following basic requirements.
- Download Install ZappySys ODBC PowerPack (API Driver for Google Analytics included)
- Install Informatica PowerCenter Client Tools (e.g. Workflow and Mapping Designers)
- Access to a Relational database such as SQL Server (or use any of your choice e.g. Oracle, MySQL, DB2 ). If nothing available then you can use flat file target.
High level Steps for Import Google Analytics data using Informatica (Read Google Analytics API data)
Before we dive deep to learn how to load Google Analytics data in Informatica (i.e. Google Analytics to SQL Table), Here the summary of high-level steps you need to perform to import Google Analytics in Informatica (same steps for Import JSON / XML / REST API).
- Download and Install ZappySys API Driver (for connecting to Google Analytics)
- Create ODBC DSN using ZappySys API driver and choose Google Analytics Connector during Wizard
- Create Relational > ODBC Connection in Informatica Workflow designer (Point to DSN we created in the previous step)
- Import Google Analytics Source Definition in the Informatica Mapping Designer > Sources Tab
- Import Target Table Definition in the Informatica Mapping Designer > Targets Tab
- Create source to target mapping in Mappings tab
- Save mapping (name m_API_to_SQL_Load )
- Create Session using the mapping we created in the previous step
- Save Workflow and execute to load Google Analytics data into SQL Table. Verify your data and log.
Video Tutorial – Read any API / JSON data in Informatica (Load Google Analytics to SQL Table)
Below video is not about Google Analytics API but its showing API access in general (for any API). By watching following ~5 min video can learn steps listed in this article to load JSON API data into SQL Server Table using ZappySys JSON Driver. You can go though full article to learn many useful details not covered in this video.
Getting Started – Import Google Analytics to SQL Server in Informatica
Now let’s get started. For example purpose, we will read data from Google Analytics and load data into SQL Server Table using Informatica Workflow.
Create ODBC Data Source (DSN) based on
Step-by-step instructions
To get data from Google Analytics using Informatica we first need to create a DSN (Data Source) which will access data from Google Analytics. We will later be able to read data using Informatica. Perform these steps:
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Download and install ODBC PowerPack.
-
Open ODBC Data Sources (x64):
-
Create a User data source (User DSN) based on :
-
Create and use User DSN
if the client application is run under a User Account.
This is an ideal option
in design-time , when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit. -
Create and use System DSN
if the client application is launched under a System Account, e.g. as a Windows Service.
Usually, this is an ideal option to use
in a production environment . Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.
-
Create and use User DSN
if the client application is run under a User Account.
This is an ideal option
-
When the Configuration window appears give your data source a name if you haven't done that already, then select "Google Analytics" from the list of Popular Connectors. If "Google Analytics" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:
GoogleAnalyticsDSNGoogle Analytics
-
Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.
Google Analytics authentication
Amazon OAuth Security Profile has be created in Amazon Developer portal. [API reference]
- Firstly, login into Amazon Developer portal in https://developer.amazon.com.
- Then click Sign in.
- If you don't have an account, press Create your Amazon Developer account button to create one.
- Once logged in, click on your profile icon on the right-top of the window and hit Settings:
- Then click Security Profiles and proceed with creating a new Security Profile:
- After that, click Web Settings subtab, then hit Show Secret button to reveal the Client Secret (you will need it later), and click Edit to add a Redirect URL:
- Continue by setting Allowed Return URLs (you can have your own or use
https://zappysys.com/oauth):
-
Done!
Now you can use Client ID, Client Secret, and Redirect URL
when configuring OAuth Authentication parameters:
API Connection Manager configuration
Just perform these simple steps to finish authentication configuration:
-
Set Authentication Type to
OAuth Authentication [OAuth] - Optional step. Modify API Base URL if needed (in most cases default will work).
- Fill in all the required parameters and set optional parameters if needed.
- Press Generate Token button to generate the tokens.
- Finally, hit OK button:
GoogleAnalyticsDSNGoogle AnalyticsOAuth Authentication [OAuth]https://advertising-api.amazon.com/v2Required Parameters ClientId Fill-in the parameter... ClientSecret Fill-in the parameter... AuthorizationUrl Fill-in the parameter... ReturnUrl Fill-in the parameter... Scope Fill-in the parameter... Profile (click 'Generate Token' before this) Fill-in the parameter... Optional Parameters RetryMode RetryWhenStatusCodeMatch RetryStatusCodeList 429 RetryCountMax 5 RetryMultiplyWaitTime True
-
Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:
- Google AnalyticsGoogle Analytics Connector can be used to read data from Google Analytics Service without learning complex API. Easy to use interface allows you extract large amount of data adjusting parameters such as dimensions, metrics, filters, sortby, date range etc. You can also use inbuilt reports or specify direct query URL to get desired data.GoogleAnalyticsDSN
-
Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in Informatica to retrieve data from Google Analytics. Hit OK button to use this query in the next step.
SELECT * FROM Orders
Some parameters configured in this window will be passed to the Google Analytics API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful datamuch faster . -
Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in Informatica:
- Google AnalyticsGoogle Analytics Connector can be used to read data from Google Analytics Service without learning complex API. Easy to use interface allows you extract large amount of data adjusting parameters such as dimensions, metrics, filters, sortby, date range etc. You can also use inbuilt reports or specify direct query URL to get desired data.GoogleAnalyticsDSNSELECT * FROM Orders
You can also access data quickly from the tables dropdown by selecting <Select table>.AWHEREclause,LIMITkeyword will be performed on the client side, meaning that thewhole result set will be retrieved from the Google Analytics API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in Google Analytics servers). -
Click OK to finish creating the data source.
Create Connection in Informatica Workflow Designer
Once you create DSN using API Driver our next step is to define a connection for Google Analytics source in Informatica PowerCenter Workflow designer.
- Open Workflow designer [W] icon
- Goto Connections > Relational
- Click New and select ODBC
- Now on the ODBC connection setup enter connection name, some fake userid / password (this is a required field but its ignored by JSON Driver)
-
In the Connection String field enter the exact same name of DSN (Open ODBC Data Sources UI to confirm)
Configure Google Analytics connection in Informatica for REST API – Using ZappySys API Driver
- Click OK to close the connection properties.
That’s it. Now we ready to move to next step (define source and target in Mapping Designer).
Import Google Analytics Source Definition in Informatica Mapping Designer
Now let’s look at steps to import Google Analytics table definition.
-
Open Informatica Mapping Designer (Click [D] icon)
-
Click on Source Icon to switch to Sources designer
-
From the top menu > Click on Sources > Import from Database …
-
Select ODBC data source from the dropdown (Find out DSN we created earlier to use as JSON Source)
-
Click Connect button to get a list of tables. Any array node is listed as a table. Also, you will see array node with parent columns (e.g. value_with_parent). You may get some warning like below but they are harmless so just ignore by clicking OK.
DLL name entry missing from C:\Informatica\PowerCenter8.6.1\client\bin\powrmart.ini Section = ODBCDLL Entry = ZappySys JSON Driver
—————————————————-
Using EXTODBC.DLL to support ZappySys JSON Driver. For native support of ZappySys JSON Driver make an entry in the .ini file. - Select Table you wish to get (You can filter rows by custom SQL query. We will see later in this article how to do)
- Optionally once table structure is imported you can rename it
- That’s it, we are now ready to perform similar steps to import Target table structure in the next section.
Import SQL Server Target Definition in Informatica Mapping Designer
Now let’s look at steps to import Target table definition (very similar to the previous section, the only difference is this time we will select DSN which points to SQL Server or any other Target Server).
Now lets look at steps to import target table definition in Informatica mapping designer.
- In the Mapping Designer, Click on Target Icon to switch to Target designer
- From the top menu > Click on Targets > Import from Database …
- Select DSN for your Target server (if DSN doesn’t exist then create one by opening ODBC Sources just like we created one for JSON API source (see the previous section about creating DSN).
- Enter your userid , password and Schema name and click Connect to see tables
- Select Table name to and click OK import definition.
Create Source to Target Mapping in Informatica (Import JSON to SQL Server)
Once you have imported source and target table definition, we can create mapping and transformation to load data from JSON to SQL Table.
- First open Mapping Designer (Click [D] icon)
- Drag JSON Source from sources folder
- Drag SQL Table from Targets folder
- Map desired columns from Source to target
-
For certain columns you may have to do datatype conversion. For example to convert OrderDate form nstring to DataTime you have to use Expression Transform like below and map it to target. In below example, our JSON has date format (e.g. 2018-01-31 12:00:00 AM ). To import this to DateTime field in SQL server we need to convert it using TO_DATE function. Use double quotes around T to make this format working.
TO_DATE(OrderDate,'YYYY-MM-DD H12:MI:SS AM') --For ISO use below way TO_DATE(OrderDate,'YYYY-MM-DD"T"HH24:MI:SS') - Once you done with mapping save your mapping and name it (i.e. m_Api_To_SQL)
- Now lets move to next section to create workflow.
Create Workflow and Session in Informatica
Now the final step is to create a new workflow. Perform following steps to create workflow which with a session task to import JSON data into SQL table.
- Open workflow designer by click [W] icon.
-
Launch new workflow creation wizard by click Workflow top menu > Wizard
name your workflow (e.g. wf_Api_Tp_Sql_Table_Import) - Finish the wizard and double-click the Session to edit some default properties.
- First change Error settings so we fail session on error (By default its always green)
- Select JSON connection for Source
- Change default Source query if needed. You can pass parameters to this query to make it dynamic.
- Select Target connection of SQL Target Table
- Save workflow
- That’s it. We ready to run our first workflow to load JSON data to SQL.
Execute Workflow and Validate Log in Informatica
Now once you are done with your workflow, execute it to see the log.
POST data to Google Analytics in Informatica
There will be a time when you like to send Source data to REST API or SOAP Web Service. You can use below Query for example. For detailed explanation on how to POST data in Informatica check this article .
Video Tutorial – How to POST data to REST API in Informatica
Here is detailed step by step video on REST API POST in informatica PowerCenter
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Centralized data access via Data Gateway
In some situations, you may need to provide Google Analytics data access to multiple users or services. Configuring the data source on a Data Gateway creates a single, centralized connection point for this purpose.
This configuration provides two primary advantages:
-
Centralized data access
The data source is configured once on the gateway, eliminating the need to set it up individually on each user's machine or application. This significantly simplifies the management process.
-
Centralized access control
Since all connections route through the gateway, access can be governed or revoked from a single location for all users.
| Data Gateway |
Local ODBC
data source
|
|
|---|---|---|
| Simple configuration | ||
| Installation | Single machine | Per machine |
| Connectivity | Local and remote | Local only |
| Connections limit | Limited by License | Unlimited |
| Central data access | ||
| Central access control | ||
| More flexible cost |
If you need any of these requirements, you will have to create a data source in Data Gateway to connect to Google Analytics, and to create an ODBC data source to connect to Data Gateway in Informatica.
Let's not wait and get going!
Creating Google Analytics data source in Gateway
In this section we will create a data source for Google Analytics in Data Gateway. Let's follow these steps to accomplish that:
-
Search for
gatewayin Windows Start Menu and open ZappySys Data Gateway Configuration:
-
Go to Users tab and follow these steps to add a Data Gateway user:
- Click Add button
-
In Login field enter username, e.g.,
john - Then enter a Password
- Check Is Administrator checkbox
- Click OK to save
-
Now we are ready to add a data source:
- Click Add button
- Give Datasource a name (have it handy for later)
- Then select Native -
- Finally, click OK
GoogleAnalyticsDSN
-
When the configuration window opens, configure the Data Source the same way you configured it in ODBC Data Sources (64-bit), in the beginning of this article.
-
Very important step. Now, after creating or modifying the data source make sure you:
- Click the Save button to persist your changes.
- Hit Yes, once asked if you want to restart the Data Gateway service.
This will ensure all changes are properly applied:
Skipping this step may result in the new settings not taking effect and, therefore you will not be able to connect to the data source.
Creating ODBC data source for Data Gateway
In this part we will create ODBC data source to connect to Data Gateway from Informatica. To achieve that, let's perform these steps:
-
Open ODBC Data Sources (x64):
-
Create a User data source (User DSN) based on ODBC Driver 17 for SQL Server:
ODBC Driver 17 for SQL Server
If you don't see ODBC Driver 17 for SQL Server driver in the list, choose a similar version driver. -
Then set a Name of the data source (e.g.
Gateway) and the address of the Data Gateway:GatewayDSNlocalhost,5000
Make sure you separate the hostname and port with a comma, e.g.localhost,5000. -
Proceed with authentication part:
- Select SQL Server authentication
-
In Login ID field enter the user name you used in Data Gateway, e.g.,
john - Set Password to the one you configured in Data Gateway
-
Then set the default database property to
GoogleAnalyticsDSN(the one we used in Data Gateway):GoogleAnalyticsDSN
-
Continue by checking Trust server certificate option:
-
Once you do that, test the connection:
-
If connection is successful, everything is good:
-
Done!
We are ready to move to the final step. Let's do it!
Accessing data in Informatica via Data Gateway
Finally, we are ready to read data from Google Analytics in Informatica via Data Gateway. Follow these final steps:
-
Go back to Informatica.
-
Open Informatica Mapping Designer (Click [D] icon)
-
Click on Source Icon to switch to Sources designer
-
From the top menu > Click on Sources > Import from Database …
-
Select ODBC data source from the dropdown (Find out DSN we created earlier to use as JSON Source)
-
Click Connect button to get a list of tables. Any array node is listed as a table. Also, you will see array node with parent columns (e.g. value_with_parent). You may get some warning like below but they are harmless so just ignore by clicking OK.
DLL name entry missing from C:\Informatica\PowerCenter8.6.1\client\bin\powrmart.ini Section = ODBCDLL Entry = ZappySys JSON Driver
—————————————————-
Using EXTODBC.DLL to support ZappySys JSON Driver. For native support of ZappySys JSON Driver make an entry in the .ini file. -
Read the data the same way we discussed at the beginning of this article.
-
That's it!
Now you can connect to Google Analytics data in Informatica via the Data Gateway.
john and your password.
Conclusion
In this article we showed you how to connect to Google Analytics in Informatica and integrate data without any coding, saving you time and effort.
We encourage you to download Google Analytics Connector for Informatica and see how easy it is to use it for yourself or your team.
If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.
Download Google Analytics Connector for Informatica Documentation