What is Informatica Intelligent Cloud Services (IICS) and what are it's capabilities?

Informatica Intelligent Cloud Services (IICS) is a cloud-based integration platform that enables organizations to easily and quickly connect, integrate, and manage their data and applications. It includes a range of features and capabilities that make it an ideal solution for a variety of integration scenarios.

 

One of the main benefits of IICS is its ability to simplify and streamline the integration process. With IICS, organizations can easily connect to a wide range of data sources and targets, including databases, applications, file systems, and more. The platform also includes powerful data transformation and cleansing capabilities, allowing organizations to ensure that their data is accurate, consistent, and of high quality.

 

In addition to these core integration capabilities, IICS also includes a number of other features and components that make it a comprehensive and powerful integration platform. These include:

 

API Management: IICS includes a comprehensive API management platform that enables organizations to design, publish, and manage APIs. This includes the ability to set policies and procedures for API access, as well as to monitor and analyze API usage.

 

Data Quality: IICS includes a range of data quality tools that help organizations ensure that their data is accurate, consistent, and of high quality. This includes the ability to perform data profiling, data cleansing, and data enrichment.

 

Data Governance: IICS includes a data governance framework that allows organizations to manage and control access to their data. This includes the ability to set policies and procedures for data management, as well as to monitor and enforce compliance with those policies.

 

Cloud Integration Hub: The Cloud Integration Hub is a central repository that enables organizations to manage and orchestrate their integration processes. It includes a range of features for managing integration flows, monitoring integration performance, and more.

 

Integration Templates: IICS includes a range of integration templates that enable organizations to quickly and easily create and deploy integrations for common scenarios, such as integrating with Salesforce or integrating with a database.

 

Overall, IICS is a comprehensive and powerful integration platform that offers a range of benefits to organizations. By simplifying and streamlining the integration process, IICS can help organizations save time and resources, improve data quality, and drive better business outcomes.

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Why to choose Informatica MDM Cloud over on-premise Informatica MDM?

 Informatica Master Data Management (MDM) is a powerful platform for managing and maintaining accurate and consistent master data across an organization. It includes a range of features and capabilities for data governance, data integration, data quality, and more. While Informatica MDM has traditionally been offered as an on-premises solution, the company now also offers a cloud-based version called Informatica MDM Cloud.

 

One of the main benefits of Informatica MDM Cloud is its cost effectiveness compared to on-premises Informatica MDM. There are a number of factors that contribute to this cost savings:

 

No upfront infrastructure costs: With Informatica MDM Cloud, there is no need to purchase and maintain hardware and infrastructure. This can significantly reduce upfront costs and ongoing maintenance expenses.

 

Pay-as-you-go pricing: Informatica MDM Cloud is offered on a pay-as-you-go basis, which means that organizations only pay for the resources they use. This can help to better align IT costs with business needs and reduce unnecessary spending.

 

Reduced IT staff costs: With Informatica MDM Cloud, there is no need to hire and train additional IT staff to manage the hardware and infrastructure. This can result in significant cost savings in terms of personnel expenses.

 

Automatic updates and maintenance: Informatica MDM Cloud includes automatic updates and maintenance, which means that organizations don't have to worry about manually installing updates or performing maintenance tasks. This can save time and resources, as well as reduce the risk of system downtime.

 

In addition to cost savings, Informatica MDM Cloud also offers a number of other benefits over on-premises Informatica MDM. These include:

 

Flexibility: Informatica MDM Cloud can be easily scaled up or down to meet changing business needs. This makes it ideal for organizations that experience fluctuating data volumes or have seasonal business patterns.

 

Simplified deployment: Informatica MDM Cloud can be quickly and easily deployed, with no need for complex hardware installations or software configurations. This means that organizations can get up and running with the platform faster, enabling them to start realizing the benefits of master data management more quickly.

 

Improved data security: Informatica MDM Cloud is hosted in a secure and reliable cloud environment, which means that organizations don't have to worry about the security and availability of their data.

 

Overall, Informatica MDM Cloud offers a number of advantages over on-premises Informatica MDM, particularly in terms of cost effectiveness and simplicity of deployment. By leveraging the power of the cloud, organizations can easily and affordably manage and maintain their master data, leading to improved decision-making, increased efficiency, and better business outcomes.

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How Active VOS is used in Informatica MDM?

Active VOS is a key component of Informatica's Master Data Management (MDM) platform. It is a high-performance, scalable, and flexible data integration platform that enables organizations to manage and maintain their master data across various systems and applications.

One of the main benefits of Active VOS is its ability to support real-time data integration and processing. This means that data updates can be immediately reflected in the master data repository, ensuring that all departments are working with the most current and accurate information.

In addition to real-time processing, Active VOS also offers a number of other features and capabilities that make it an ideal solution for master data management. These include:

•         Support for a wide range of data sources and targets: Active VOS can connect to and integrate data from a variety of sources, including databases, applications, and file systems.

•         Data transformation and cleansing: Active VOS includes a powerful data transformation engine that can cleanse, enrich, and standardize data to ensure that it meets the organization's quality and consistency standards.

•         Data governance and security: Active VOS includes a data governance framework that allows organizations to manage and control access to their master data. This includes the ability to set policies and procedures for data management, as well as to monitor and enforce compliance with those policies.

In terms of APIs, Active VOS offers a number of options for integration and customization. These include:

•         Active VOS REST API: This API allows developers to access and manipulate data and resources within the Active VOS platform using RESTful web services.

•         Active VOS SOAP API: This API enables integration with other systems and applications using SOAP (Simple Object Access Protocol).

•         Active VOS Java API: This API allows developers to access and manipulate data and resources within the Active VOS platform using Java.

By leveraging the capabilities of Active VOS, organizations can effectively manage and maintain their master data, ensuring that all departments are working with accurate and consistent information. This can lead to improved decision-making, increased efficiency, and better business outcomes.

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Business Benefits of Informatica MDM

Implementing Informatica Master Data Management (MDM) in an organization can provide numerous benefits to the business. Here are a few of the key advantages of using Informatica MDM:

 

Improved data quality: One of the main benefits of Informatica MDM is the ability to improve the quality of the organization's data. By establishing a single source of truth for key data entities, such as customer and product information, the organization can ensure that all departments are using consistent and accurate data. This can lead to better decision-making, increased efficiency, and reduced risk of errors.

 

Enhanced data governance: Informatica MDM includes a robust data governance framework that allows organizations to manage and control access to their data. This includes the ability to set policies and procedures for data management, as well as to monitor and enforce compliance with those policies. By establishing strong data governance, organizations can improve the security and integrity of their data and reduce the risk of data breaches.

 

Increased efficiency: Informatica MDM can help organizations streamline their data management processes, resulting in increased efficiency and productivity. By automating the process of cleansing, enriching, and standardizing data, Informatica MDM can help organizations save time and resources.

 

Better customer experiences: With accurate and consistent customer data, organizations can provide personalized and relevant experiences to their customers. This can lead to increased customer satisfaction and loyalty, as well as improved business outcomes.

 

Greater agility: Informatica MDM enables organizations to quickly and easily adapt to changing business needs. By centralizing data management, organizations can more easily respond to new data requirements and make changes to their data management processes as needed.

 

In conclusion, implementing Informatica MDM can provide numerous benefits to an organization. By improving data quality, enhancing data governance, increasing efficiency, and enabling greater agility, Informatica MDM can help organizations drive better business outcomes.

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What are top cloud data warehouses ?

            Are you looking for the top cloud data warehouses in the current market? Are you interested in knowing which cloud data warehouse is the preferred one? If so, then you reached the right place. Let's discuss top cloud data warehouses.

A] What is a cloud data warehouses?

            A database stored as managed service and provided as software-as-a-service (i.e SaaS) to perform analytics and business intelligence operations in a public cloud is called a cloud data warehouses.

            In some cases these can be private cloud provider services.

B] What are the cloud data warehouses? 

             Following are the currently available top cloud Data warehouses -

           1. Azure Synapse Analytics 

           2. Amazon Redshift 

           3. Google BigQuery

           4. Azure SQL database 

           5. Snowflake

           6. Azure Cosmos DB+

C] Which could Data Warehouse should we use?

    The use of Cloud Data  Warehouse depends on the business use case. However, currently, Snowflake Cloud Data Warehouse is commonly used due to the ease and performance it provides compared to other Cloud Datawarehouse.

Learn more about Snowflake Cloud Datawarehouse here.

How does secure data sharing work in snowflake ?

               Are you looking for the details about how data sharing works in snowflake? Are you also interested in knowing what are things we can share in snowflake? If so, then you reached the right place. In this article, we will explore data sharing in Snowflake. Let's start.

A] What are the database objects we can share?

              The following snowflake database objects can be shared -

              a) External tables 

              b) Tables 

              c) Secure views 

              d) Secure UDFs

              e) Secure materialized views

             The objects which are shared are in Read-only. i.e we cannot add, update or delete data or objects.

B] How does secure data sharing work? 

             Secure data sharing is a feature of snowflake using which data is shared with consuming systems.

            Following are important points about secure data sharing.

           1. No actual data is copied or transferred

           2. Sharing achieved using snowflake unique services layer and metadata store 

           3. No storage is needed on the consumer side

           4. No monthly charges to the consumer for storage 

           5. Consumers need to pay for  executing queries i.e for using compute resources 

       How does Data Sharing work in Snowflake? 

           a) Secure data share comes with the provider and consumer concepts.

           b) Provider creates a shared database and grants access to specific objects in the database 

           c) Provider has capabilities to share from multiple databases if these databases are from the same account 

          d) The read-only database is created on the consumer side from the share. Access to this database is configurable using standard role-based access control.

Learn more about snowflake here -

What are best Practices for Customer 360 data modeling ?

                        Are you planning to make changes in the existing customer 360 or c360 data model ? or are you thinking to extend the customer 360 data model and looking for guidelines in doing it? If so, then you reached the right place. In this article, we will understand best practices for customer 360 data modeling in Informatica Master Data Management.

A) What is Customer 360? 

                       Informatica provides a pre-designed customer domain Master Data Management (MDM) tool. Using this we can expedite the development process for MDM implementation in our organization. Customer 360 comes with a prebuilt data model which we can either update or extend as needed.

                      Customer 360 MDM also comes with a user interface called customer 360 application and it is based on business entity services.

                      There are multiple aspects we need to consider while updating or extending the customer 360 data model and we are going to discuss this in this article.

B) What are the steps for modifying the existing customer 360 data model in Informatica MDM?

                     We can extend the customer 360 data model by various actions such as 

                               1) Changing the physical schema 

                               2) Adding needed columns to an existing table 

                              3) Adding for updating values for existing columns 

                  Following are the steps we need to perform to extend the data model.

                         Step 1 : Compare existing data model with business requirement and perform gap                                                   analysis 

                         Step 2 : Prepare documentation that will provide a list of tables and columns needed to                                        add

                         Step 3 : Take a backup of an existing schema 

                         Step 4 : Review guidelines and standards for extending the data model 

                         Step 5 : Add tables and columns as needed 

C) What are the Guidelines for extending the customer 360 data model? 

                   We can change the definition of tables or add a new table to the existing customer 360 data model. To perform these kinds of changes consider following guidelines 

                    1. Check if we can use the existing table 

                   2. Do not use a root base object to store organization or person information.

                   3. Do not define table names greater than 24 characters.

                   4. Do not delete existing columns

                   5. Do not delete existing base objects

                   6. Do not modify the data types of existing columns 

                   7. Do not modify the physical name of existing base objects. 

                   8. It is ok to modify the display name of existing base object tables or columns.

                   9. Do not decrease the length of an existing column.

                  10. Prefix the names of the new base object tables to distinguish the table from the existing tables.

                   11. For newly added column in the existing table-use prefix name of the column as x_

D) What are the guidelines for adding a new base object in the customer 360 data model? 

                  We can add root or child base objects, lookup base objects or relationship base objects. For adding new base objects we need to consider the following guidelines.

                 1. Child base object with one-to-many relationships- Add a Party Role foreign key in the table to relate the table to the Party Role table.

                 2. Child base object with many - to -many relationships- Use the relationship base object to relate the table to the Party Role table.

                 3. Use lookup Indicator as TRUE for the lookup table.

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