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 Ingestiona 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.
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.
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:
To learn more, register now for our November 30 webinar, “How to Mass Ingest Application Data in Minutes Without Coding.”