Lakehousing vendors got your data, everything else is still your problem.
This was my biggest takeaway from Gartner Data & Analytics Summit, which is one of the most enlightening conferences I’ve been to in my career. What once were purely “lakehouse” platforms are now expanding in every operational direction they can by pivoting to transactional workloads and eyeing MDM acquisitions. It is (very clearly) their anxiety…
Diving Deep into IBM Next-Generation DataStage
High-quality data is crucial. Gartner predicts that poor data quality will impact 30% of generative AI deployments by 2025. Data integration is essential for ensuring data accuracy and value. IBM’s Next-Generation DataStage empowers developers, engineers, and enterprises with a modern data integration solution, including a rich design interface, robust data observability, re-usable integration patterns, the…
Remote execution of ETL/ELT pipelines has unlocked new use cases for Data Integration
Explainability of AI models is crucial for operationalizing AI, and data integration is the key to success, especially with data living in hybrid-cloud, multi-cloud, and multiple formats. The remote execution engine allows for flexibility in deploying data integration jobs in any geography or VPC. This deployment model has also unlocked new use cases for data…