How to integrate Amazon S3 XML File using Informatica PowerCenter

Integrate Informatica PowerCenter and Amazon S3 XML File
Integrate Informatica PowerCenter and Amazon S3 XML File

Learn how to quickly and efficiently connect Amazon S3 XML File with Informatica PowerCenter for smooth data access.

Read and write XML files in Amazon S3 effortlessly. Streamline, manage, and automate XML files in S3 buckets for analytics, reporting, and data pipelines — almost no coding required. You can do it all using the high-performance Amazon S3 XML File ODBC Driver for Informatica PowerCenter (often referred to as the Amazon S3 XML File Connector). We'll walk you through the entire setup.

Ready to dive in? Download the product to jump right in, or follow the step-by-step guide below to see how it works.

Introduction

Informatica PowerCenter Logo 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 Amazon S3 XML File 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 Amazon S3 XML File / 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 Amazon S3 XML File / 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  Amazon S3 XML File 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 Amazon S3 XML File 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.

  1. Download Install ZappySys ODBC PowerPack (API Driver for Amazon S3 XML File included)
  2. Install Informatica PowerCenter Client Tools (e.g. Workflow and Mapping Designers)
  3. 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 Amazon S3 XML File data using Informatica (Read Amazon S3 XML File API data)

Before we dive deep to learn how to load Amazon S3 XML File data in Informatica (i.e. Amazon S3 XML File to SQL Table), Here the summary of high-level steps you need to perform to import Amazon S3 XML File in Informatica (same steps for Import JSON / XML / REST API).

  1. Download and Install ZappySys API Driver (for connecting to Amazon S3 XML File)
  2. Create ODBC DSN using ZappySys API driver and choose Amazon S3 XML File Connector during Wizard
  3. Create Relational > ODBC Connection in Informatica Workflow designer (Point to DSN we created in the previous step)
  4. Import Amazon S3 XML File Source Definition in the Informatica Mapping Designer > Sources Tab
  5. Import Target Table Definition in the Informatica Mapping Designer > Targets Tab
  6. Create source to target mapping in Mappings tab
  7. Save mapping (name m_API_to_SQL_Load )
  8. Create Session using the mapping we created in the previous step
  9. Save Workflow and execute to load Amazon S3 XML File data into SQL Table. Verify your data and log.
    Loading JSON data to SQL Table in Informatica (Import Amazon S3 XML File / REST API / JSON Files)

    Loading Amazon S3 XML File data to SQL Table in Informatica (Import REST API or JSON Files)

Video Tutorial – Read any API / JSON data in Informatica (Load Amazon S3 XML File to SQL Table)

Below video is not about Amazon S3 XML File 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 Amazon S3 XML File to SQL Server in Informatica

Now let’s get started. For example purpose, we will read data from Amazon S3 XML File and load data into SQL Server Table using Informatica Workflow.

Create data source using Amazon S3 XML File ODBC Driver

Step-by-step instructions

To get data from Amazon S3 XML File using Informatica PowerCenter, we first need to create an ODBC data source. We will later read this data in Informatica PowerCenter. Perform these steps:

  1. Download and install ODBC PowerPack (if you haven't already).

  2. Search for odbc and open the ODBC Data Sources (64-bit):

    Open ODBC Data Source

  3. Create a User data source (User DSN) based on the ZappySys Amazon S3 XML Driver driver:

    ZappySys Amazon S3 XML Driver
    Create new User DSN for ZappySys Amazon S3 XML Driver
    • Create and use a User DSN if the client application runs under a User Account. This is the ideal option at design time (e.g., when developing in Visual Studio). Use it for both types of applications (64-bit and 32-bit).
    • Create and use a System DSN if the client application runs under a System Account (e.g., as a Windows Service). This is usually the required option in a production environment. If your Windows Service is a 32-bit application, you must use the 32-bit ODBC Data Source Administrator to configure this

  4. Create and configure a connection for the Amazon S3 storage account.

    Create Amazon S3 Storage Connection

  5. You can use select your desired single file by clicking [...] path button.

    mybucket/dbo.tblNames.xml
    dbo.tblNames.xml
    Read Amazon S3 XML File data


    ----------OR----------

    You can also read the multiple files stored in Amazon S3 Storage using wildcard pattern supported e.g. dbo.tblNames*.xml. 

    Note: If you want to operation with multiple files then use wild card pattern as below 
(when you use wild card pattern in source path then system will treat target path as folder regardless you end with slash)

mybucket/dbo.tblNames.xml (will read only single .XML file)
mybucket/dbo.tbl*.xml (all files starting with file name)
mybucket/*.xml (all files with .xml Extension and located under folder subfolder)

    mybucket/dbo.tblNames*.xml
    Use wildcard pattern .* to read multiple Amazon S3 Files data


    ----------OR----------

    You can also read the zip and gzip compressed files also without extracting it in using Amazon S3 XML Source File Task.

    mybucket/dbo.tblNames*.gz
    Reading zip and gzip compressed files (stream mode)

  6. Now select/enter Path expression in Path textbox to extract only specific part of XML string as below ($.value[*] will get content of value attribute from XML document. Value attribute is array of XML documents so we have to use [*] to indicate we want all records of that array)

    NOTE: Here, We are using our desired filter, but you need to select your desired filter based on your requirement.

    Amazon S3 XML Driver Select Filter

  7. Navigate to the Preview Tab and let's explore the different modes available to access the data.

    1. --- Using Direct Query ---

      Click on Preview Tab, Select Table from Tables Dropdown and select [value] and click Preview.
      ZappySys ODBC Driver - Preview Data

    2. --- Using Stored Procedure ---

      Note : For this you have to Save ODBC Driver configuration and then again reopen to configure same driver. For more information click here.
      Click on the Custom Objects Tab, Click on Add button and select Add Procedure and Enter an appropriate name and Click on OK button to create.
      ZappySys ODBC Driver - Custom Objects

      1. --- Without Parameters ---

        Now Stored Procedure can be created with or without parameters (see example below). If you use parameters then Set default value otherwise it may fail to compilation)
        ZappySys ODBC Driver : Without Parameters

      2. --- With Parameters ---

        Note : Here you can use Placeholder with Paramters in Stored Procedure.
Example : SELECT * FROM $ WHERE OrderID = '<@OrderID, FUN_TRIM>' or CustId = '<@CustId>' and Total >= '<@Total>'
        ZappySys ODBC Driver : With Parameters

    3. --- Using Virtual Table ---

      Note : For this you have to Save ODBC Driver configuration and then again reopen to configure same driver. For more information click here.

      ZappySys APi Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

      Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 Buckets with slight variations you can create virtual tables with just URL as Parameter setting). 

      vt__Customers
DataPath=mybucket_1/customers.xml

vt__Orders
DataPath=mybucket_2/orders.xml

vt__Products
DataPath=mybucket_3/products.xml
      1. Click on the Custom Objects Tab, Click on Add button and select Add Table and Enter an appropriate name and Click on OK button to create.
        ZappySys ODBC Driver - Custom Objects
      2. Once you see Query Builder Window on screen Configure it.
        ZappySys ODBC Driver - Custom Objects : Virtual Table Query Builder
      3. Click on Preview Tab, Select Virtual Table(prefix with vt__) from Tables Dropdown or write SQL query with Virtual Table name and click Preview.
        ZappySys ODBC Driver - Custom Objects : Virtual Table Query Execute

  8. Click OK to finish creating the data source

  9. That's it; we are done. In a few clicks we configured the to Read the Amazon S3 XML File data using ZappySys Amazon S3 XML File Connector

Create Connection in Informatica Workflow Designer

Once you create DSN using API Driver our next step is to define a connection for Amazon S3 XML File source in Informatica PowerCenter Workflow designer.

  1. Open Workflow designer [W] icon
  2. Goto Connections > Relational
    Create new connection for JSON in Informatica

    Create a new connection for Amazon S3 XML File in Informatica

  3. Click New and select ODBC
    Select ODBC connection type in Informatica (Using ZappySys JSON ODBC DSN)

    Select ODBC connection type in Informatica (Using ZappySys API ODBC DSN)

  4. Now on the ODBC connection setup enter connection name, some fake userid / password (this is a required field but its ignored by JSON Driver)
  5. In the Connection String field enter the exact same name of DSN (Open ODBC Data Sources UI to confirm)
    Configure Amazon S3 XML File connection in Informatica for REST API – Using ZappySys API ODBC Driver

    Configure Amazon S3 XML File connection in Informatica for REST API – Using ZappySys API Driver

  6. 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 Amazon S3 XML File Source Definition in Informatica Mapping Designer

Now let’s look at steps to import Amazon S3 XML File table definition.

  1. Open Informatica Mapping Designer (Click [D] icon)

  2. Click on Source Icon to switch to Sources designer

  3. From the top menu > Click on Sources > Import from Database …

    Import JSON Source definition in Informatica Mapping Designer (JSON file or REST API)

    Import Amazon S3 XML File Source definition in Informatica Mapping Designer (JSON file or REST API)

  4. Select ODBC data source from the dropdown (Find out DSN we created earlier to use as JSON Source)

  5. 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 JSON Source Table in Informatica Mapping Designer (JSON file or REST API)

    Select Amazon S3 XML File Source Table in Informatica Mapping Designer (JSON file or REST API)

  6. Select Table you wish to get (You can filter rows by custom SQL query. We will see later in this article how to do)
  7. Optionally once table structure is imported you can rename it
    Rename imported table definition in Informatica Source Designer

    Rename imported table definition in Informatica Source Designer

  8. 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.

  1. In the Mapping Designer, Click on Target Icon to switch to Target designer
  2. From the top menu > Click on Targets > Import from Database …
  3. 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).
    Import target Table Definition in informatica

    Import target Table Definition in informatica

  4. Enter your userid , password and Schema name and click Connect to see tables
  5. Select Table name to and click OK import definition.
    Import Target SQL Table Definition in Informatica - Select table from the list

    Import Target SQL Table Definition in Informatica – Select table from the list

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.

  1. First open Mapping Designer (Click [D] icon)
  2. Drag JSON Source from sources folder
  3. Drag SQL Table from Targets folder
  4. Map desired columns from Source to target
    Define Source to Target mapping for JSON to SQL Table load in Informatica

    Define Source to Target mapping for Amazon S3 XML File to SQL Table load in Informatica

  5. 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')
    Informatica JSON to SQL Table Mapping - Datatype conversion (nstring to datetime)

    Informatica Amazon S3 XML File to SQL Table Mapping – Datatype conversion (nstring to datetime)

  6. Once you done with mapping save your mapping and name it (i.e. m_Api_To_SQL)
  7. 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.

  1. Open workflow designer by click [W] icon.
  2. Launch new workflow creation wizard by click Workflow top menu >  Wizard
    name your workflow (e.g. wf_Api_Tp_Sql_Table_Import)

    Creating Informatica Workflow - Wizard UI (Import JSON data to SQL Table)

    Creating Informatica Workflow – Wizard UI (Import Amazon S3 XML File data to SQL Table)

  3. Finish the wizard and double-click the Session to edit some default properties.
  4. First change Error settings so we fail session on error (By default its always green)
    Fail Informatica Session on error (JSON to SQL Load)

    Fail Informatica Session on error (Amazon S3 XML File data to SQL Load)

  5. Select JSON connection for Source
    Select JSON Source Connection in Informatica - JSON File / REST API Load to SQL Table

    Select Amazon S3 XML File Source Connection in Informatica – Load Amazon S3 XML File data to SQL Table

  6. Change default Source query if needed. You can pass parameters to this query to make it dynamic.
    Modify JSON Source SQL query - Pass parameters, change URL, set filter etc

    Modify Amazon S3 XML File Source SQL query – Pass parameters, change URL, set filter etc

  7. Select Target connection of SQL Target Table
    Select SQL Target Connection in Informatica - JSON File / REST API Load to SQL Table

    Select SQL Target Connection in Informatica – Load Amazon S3 XML File data to SQL Table

  8. Save workflow
  9. 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.

Loading JSON data to SQL Table in Informatica (Import REST API or JSON Files)

Loading Amazon S3 XML File data to SQL Table in Informatica (Import REST API or JSON Files)

 

POST data to Amazon S3 XML File 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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Optional: Centralized data access via ZappySys Data Gateway

In some situations, you may need to provide Amazon S3 XML File 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

To achieve this, you must first create a data source in the Data Gateway (server-side) and then create an ODBC data source in Informatica PowerCenter (client-side) to connect to it.

Let's not wait and get going!

Create Amazon S3 XML File data source in the gateway

In this section we will create a data source for Amazon S3 XML File in the Data Gateway. Let's follow these steps to accomplish that:

  1. Search for gateway in the Windows Start Menu and open ZappySys Data Gateway Configuration:

    Open ZappySys Data Gateway Service Manager

  2. Go to the Users tab and follow these steps to add a Data Gateway user:

    • Click the Add button
    • In the Login field enter a username, e.g., john
    • Then enter a Password
    • Check the Is Administrator checkbox
    • Click OK to save
    Data Gateway - Add User

  3. Now we are ready to add a data source:

    • Click the Add button
    • Give the Data source a name (have it handy for later)
    • Then select Native - ZappySys Amazon S3 XML Driver
    • Finally, click OK
    AmazonS3XmlFileDSN
    ZappySys Amazon S3 XML Driver
    Data Gateway - Add data source

  4. When the ZappySys Amazon S3 XML Driver configuration window opens, go back to ODBC Data Source Administrator where you already have the Amazon S3 XML File ODBC data source created and configured, and follow these steps on how to Import data source configuration into the Gateway:

    • Open ODBC data source configuration and click Copy settings:
      ZappySys Amazon S3 XML Driver - Configuration [Version: 2.0.1.10418]
      ZappySys Amazon S3 XML Driver - Amazon S3 XML File
      Read and write XML files in Amazon S3 effortlessly. Streamline, manage, and automate XML files in S3 buckets for analytics, reporting, and data pipelines — almost no coding required.
      AmazonS3XmlFileDSN
      Copy connection string for ODBC application
    • The window opens, telling us the connection string was successfully copied to the clipboard: Successful connection string copying for ODBC application

    • Then go to Data Gateway configuration and in data source configuration window click Load settings:

      AmazonS3XmlFileDSN
      ZappySys Amazon S3 XML Driver - Configuration [Version: 2.0.1.10418]
      ZappySys Amazon S3 XML Driver - Amazon S3 XML File
      Read and write XML files in Amazon S3 effortlessly. Streamline, manage, and automate XML files in S3 buckets for analytics, reporting, and data pipelines — almost no coding required.
      AmazonS3XmlFileDSN
      Load configuration in ZappySys Data Gateway data source
    • Once a window opens, just paste the settings by pressing CTRL+V or by clicking right mouse button and then Paste option.

  5. Once done, go to the Network Settings tab and Add a firewall rule for inbound traffic:

    Data Gateway - Add firewall rule for inbound connections
    • This will initially allow all inbound traffic.
    • Click Edit IP filters to restrict access to specific IP addresses or ranges.

  6. Crucial Step: After creating or modifying the data source, you must:

    • Click the Save button to persist your changes.
    • Hit Yes when prompted to restart the Data Gateway service.

    This ensures all changes are properly applied:

    ZappySys Data Gateway - Save Changes
    Skipping this step may cause the new settings to fail, preventing you from connecting to the data source.

Create ODBC data source to connect to the gateway

In this part we will create an ODBC data source to connect to the ZappySys Data Gateway from Informatica PowerCenter. To achieve that, let's perform these steps:

  1. Search for odbc and open the ODBC Data Sources (64-bit):

    Open ODBC Data Source

  2. Create a User data source (User DSN) based on the ODBC Driver 17 for SQL Server driver:

    ODBC Driver 17 for SQL Server
    Create new User DSN for ODBC Driver 17 for SQL Server
    If you don't see the ODBC Driver 17 for SQL Server driver in the list, choose a similar version.

  3. Then set a Name for the data source (e.g. Gateway) and the address of the Data Gateway:

    ZappySysGatewayDSN
    localhost,5000
    ODBC driver for SQL Server - Setting hostname and port
    Make sure you separate the hostname and port with a comma, e.g. localhost,5000.

  4. Proceed with the authentication part:

    • Select SQL Server authentication
    • In the Login ID field enter the user name you created in the Data Gateway, e.g., john
    • Set Password to the one you configured in the Data Gateway
    ODBC driver for SQL Server - Selecting SQL Authentication

  5. Then set the default database property to AmazonS3XmlFileDSN (the one we used in the Data Gateway):

    AmazonS3XmlFileDSN
    AmazonS3XmlFileDSN
    ODBC driver for SQL Server - Selecting database
    Make sure to type the data source name manually or copy/paste it directly into the field. Using the dropdown might fail because the Trust server certificate option is not enabled yet (next step).

  6. Continue by checking the Trust server certificate option:

    ODBC driver for SQL Server - Trusting certificate

  7. Once you do that, test the connection:

    ODBC driver for SQL Server - Testing connection

  8. If the connection is successful, everything is good:

    ODBC driver for SQL Server - Testing connection succeeded

  9. Done!

We are ready to move to the final step. Let's do it!

Access data in Informatica PowerCenter via the gateway

Finally, we are ready to read data from Amazon S3 XML File in Informatica PowerCenter via the Data Gateway. Follow these final steps:

  1. Go back to Informatica PowerCenter.

  2. Open Informatica Mapping Designer (Click [D] icon)

  3. Click on Source Icon to switch to Sources designer

  4. From the top menu > Click on Sources > Import from Database …

    Import JSON Source definition in Informatica Mapping Designer (JSON file or REST API)

    Import Amazon S3 XML File Source definition in Informatica Mapping Designer (JSON file or REST API)

  5. Select ODBC data source from the dropdown (Find out DSN we created earlier to use as JSON Source)

  6. 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 JSON Source Table in Informatica Mapping Designer (JSON file or REST API)

    Select Amazon S3 XML File Source Table in Informatica Mapping Designer (JSON file or REST API)

  7. Read the data the same way we discussed at the beginning of this article.

  8. That's it!

Now you can connect to Amazon S3 XML File data in Informatica PowerCenter via the Data Gateway.

If you are asked for authentication details, use Database authentication, SQL authentication or Basic authentication option and enter the credentials you used when configuring the Data Gateway, e.g. john and your password.

Conclusion

In this article we showed you how to connect to Amazon S3 XML File in Informatica PowerCenter and integrate data without writing complex code — all of this was powered by Amazon S3 XML File ODBC Driver.

Download ODBC PowerPack now or ping us via chat if you have any questions or are looking for a specific feature (you can also reach out to us by submitting a ticket):

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