Cloud Data Integration Elastic

Posted by michaelborges on September 19th, 2022

Organizations need a better, faster, more reliable way to integrate data from various sources and deliver data and analytics on time to lines of business. Manual, complex, and unorganized methods of data integration can hold firms back from leveraging data in real-time and staying ahead of the competition.

The Cloud Data Integration Elastic service enables your IT organization to process data integration tasks without managing servers or needing any additional big data expertise. 

Ease of deployment

Deploying Cloud Data Integration Elastic is a five-step process: install the secure agent; create the IICS cluster and the compute engines; create the mapping services and tasks; run the tasks, and monitor the jobs and clusters.

Data integration at scale

Deploy data integration solutions using Cloud Data Integration Elastic to process large volumes of big data in the cloud. An ephemeral Kubernetes cluster provides the serverless Spark engine to process the integration mapping tasks.

Built for scalability

To help you scale efficiently, the Cloud Data Integration Elastic secure agent starts the cluster and assigns mapping jobs for processing. It dynamically scales your cluster up or down based on demand and shuts down the cluster when jobs are done to optimize resources

Key Features

Advanced Pushdown Optimization

Informatica Advanced Pushdown Optimization offers all the benefits of ELT, but it also keeps your data flow definitions at a logical/abstract level. Further, it allows you to choose a runtime option that best suits the workload.

A Rich Set of Connectors for All Major Data Sources

Informatica Cloud Data Integration provides out-of-the-box connectivity to hundreds of cloud and on-premises systems, enterprise and middleware applications, data stores (e.g., databases, warehouses, big data stores), and analytics/BI tools.

Advanced-Data Transformation Capabilities

Process data transformations in real-time or batch, using a variety of transformation types like aggregation, cleansing, masking, filtering, parsing, ranking, and more. 

Spark-Based Complex Data Integration

The Informatica Cloud Data Integration Elastic service allows your IT team to use elastic clusters to process your data transformations.

Codeless Integration

Create simple-to-sophisticated data integration projects with a visual mapping designer that connects a variety of endpoints across cloud and on-premises with pre-built transformations to speed up development. 

Data Integration With No Servers to Manage

Cloud Data Integration in Advanced Serverless mode provides a fully managed environment with no cloud administration, no software, and no servers or clusters to manage. Full and automated infrastructure management and provisioning include auto-tuning and auto-scaling.

READ MORE AT : https://www.partnerbo.co/cloud-data-integration-elastic