Data Integration

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DataStage as a Service is now available in the IBM Cloud Sydney region, including DataStage as a Service Anywhere!

By Caroline Garay posted Wed December 11, 2024 03:58 PM

  

Data is critical for organizations - to fuel analytics and AI, to ensure trust in decision-making, and to drive innovation and growth. In addition, organizations have data stores in existing private clouds or on-premises and cloud services. According to Gartner, in 2024, worldwide end-user spending on public cloud services is forecast to total $679 billion and projected to exceed $1 trillion in 2027. With growing data, particularly in cloud services, and business demands increase, organizations focus on data sovereignty and compliance with local data protection and privacy laws.

Enter IBM Data Integration

IBM Data Integration unlocks digital innovation for clients through a modular approach to data integration and management, allowing clients to create ETL and ELT pipelines using a simple, visual user interface, and support data processing in the cloud or on-premises through a flexible deployment architecture. With data observability, users can monitor the health of their data pipelines, alerting data quality issues and providing 360-degree view to pinpoint impacted upstream and downstream processes when a data issue happens. Data Integration is part of a data fabric architecture and is critical plumbing for AI, analytics, and data-driven initiatives.

The Power of DataStage

IBM DataStage is a powerful, industry-leading data processing tool that enables data teams to build reusable pipelines to extract, transform, and load (ETL) or extract, load, and transform (ELT) data from various sources and target data warehouses, databases, data lakehouses, object storage, Kafka, and applications. Data teams can connect to a wide range of data sources with DataStage, including databases, flat files, and cloud-based applications. DataStage also provides advanced features such as the ability to execute data quality rules, extensibility for data engineering teams to bring their code, and DataOps tooling to support the entire lifecycle of data engineering. 

Modernized DataStage on IBM Cloud is available as a native, fully managed service (serverless, with your service up and running in seconds) or “Anywhere” with a control plane on IBM Cloud with a self-managed, containerized and scalable data plane that can reside behind a client’s firewall or in their cloud VPC (virtual private cloud).

What Does This Expansion Mean for DataStage Customers?

The expansion of DataStage into the IBM Cloud Sydney region is a significant development for clients, especially organizations concerned with data sovereignty or residency requirements. With DataStage's (fully managed and Anywhere) availability in the IBM Cloud Sydney region, customers can ensure their data is stored and processed in compliance with local data protection laws and regulations. In addition, customers have additional benefits, such as reducing latency with data sources in the region and the ability to leverage DataStage Anywhere, which provides ultimate flexibility and control over where the parallel processing occurs. Clients can now use DataStage in IBM Cloud Dallas, IBM Cloud Frankfurt, or IBM Cloud Sydney, expanding the deployment possibilities.

What’s Next

IBM has a strong commitment and investment in the IBM Data Integration portfolio and DataStage, exemplified by the expansion to IBM Cloud Sydney. It is a part of our commitment to helping clients with the solutions they need to grow in today's data-driven world. Data Integration. Our team is so excited about this expansion, and we look forward to hearing your comments as you create and test new data pipelines!

DataStage:  

(1) Source: Gartner Says Cloud Will Become a Business Necessity by 2028 (https://www.gartner.com/en/newsroom/press-releases/2023-11-29-gartner-says-cloud-will-become-a-business-necessity-by-2028)


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