Critical Use Cases of Application Ingestion
The barrier to entry for accessing data has decreased with the rapid adoption of cloud. As a result, the value of data has never been more apparent.
In our first blog post in this series, which focused on the importance of code-free data ingestion, we introduced the application ingestion capabilities of Informatica Cloud Mass Ingestion, a code-free, unified, cloud-native data ingestion service that is part of Informatica Intelligent Cloud Services (IICS). This post will dive deeper into the various use case patterns of application ingestion.
Introducing Informatica’s Cloud Mass Ingestion Application Capability
Due to the cloud’s successful proliferation, many organizations are now “multi-cloud”—they rely on multiple cloud providers, such as Microsoft Azure and Snowflake, and multiple software-as-a-service (SaaS) applications, such as Salesforce and Marketo, in addition to traditional enterprise applications.
But often, data remains siloed within SaaS and on-premises applications, which means it’s not being used as effectively as possible by organizations. Thus, while businesses have greatly benefited from cloud applications, their adoption implies that data is now spread across different application systems.
Developers and analysts need to efficiently ingest and synchronize data from disparate and siloed application sources into a cloud data warehouse or data lake for advanced analytics and AI usage to extract meaningful insights from the data. To enable these activities, I am pleased to announce that this month Informatica is launching our Cloud Mass Ingestion Application capability.
Cloud Mass Ingestion Application Use Case Patterns
Informatica Cloud Mass Ingestion provides format-agnostic data movement and mass data ingestion, including file transfer, change data capture (CDC), and exactly-once database replication. Cloud Mass Ingestion also offers mass streaming ingestion from various sources, complete with real-time monitoring, alerting, and lifecycle management.
The new Cloud Mass Ingestion Application capabilities enable you to ingest data from SaaS and on-premises applications—such as Salesforce, SAP ECC, and Microsoft Dynamics 365—into a cloud data warehouse or data lake such as Snowflake Data Cloud, Microsoft Azure Synapse Analytics, ADLS Gen2, Amazon Redshift, or AWS S3, as well as messaging systems such as Kafka. In addition, Cloud Mass Ingestion Application also supports schema drift and real-time monitoring of ingestion jobs with lifecycle management and alerting capabilities.
The Cloud Mass Ingestion Application service supports the following use case patterns:
- Application synchronization is perhaps the most significant use case for cloud mass ingestion applications, especially when ingestion involves SaaS and on-premises applications. For example, consider a business that needs to keep its Sales, Marketing, and other teams in sync. To do this, it needs to sync its Salesforce data with other customer data, sales data, supply-chain data, logistics data, and so on, in a cloud data lake or data warehouse.
- Application integration. With Cloud Mass Ingestion Application, you can ingest the real-time event streaming data into a message hub such as Kafka and then downstream it to the Informatica Cloud Application Integration service for integrating business processes across a set of loosely coupled applications—for example, order to cash.
To learn more, register now for our November 30 webinar, “How to Mass Ingest Application Data in Minutes Without Coding.”
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