Speaker Bio

Robert Thanaraj

Robert Thanaraj

Director Analyst
Robert Thanaraj is part of the Data Management team. His research is focused on Data Management Solutions for Data and Analytics leaders; he covers strategy, best practices, market guidance, technology selection, architectures and operating model. His research topics include Data Engineering, DataOps, Data Integration, Data Virtualization, Logical Data Warehouse, Data Lakes, Lakehouse, Data Hub, Cloud migration, Data Architectures, Data Fabric, Data Mesh, Data Marketplace, Data Product Management and Metadata Management.
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Monday, 08 May, 2023 / 12:45 PM - 01:30 PM IST
Ask the Expert: Data Movement Topology to Assist Data Integration Tool Selection in Hybrid/Multicloud Scenarios

Data Movement Topology captures the movement of data across endpoints that meets various topology property needs.

Monday, 08 May, 2023 / 05:00 PM - 05:30 PM IST
Five Ways to Mature Your Data Engineering Practice

Analytics relies on a successful data foundation; it must be backed with the right data and processes.
Consumer demand for usable data has increased the need for data engineering. Data and analytics leaders can mature their data engineering practice by delivering data products, automating release processes, proving business value early, eliminating operations overhead and fostering collaboration.

Tuesday, 09 May, 2023 / 12:00 PM - 12:20 PM IST
Magic Quadrant for Data Integration Tools

Market trends around data integration tools enable organizations to access, integrate, transform, process and move data spanning various endpoints and across any infrastructure. It allows organizations to support various use cases, including data engineering, cloud data integration, operational data integration and data fabric.

Tuesday, 09 May, 2023 / 02:00 PM - 02:30 PM IST
Technical Insights: Developing an Effective Cloud D&A Migration Strategy

Organizations move to the cloud for different reasons and require justification — especially when migrating from on-premises to the cloud.
A well-thought approach to migrating the data and analytics platform to the cloud can maximize cost savings and reduce the ability to take full advantage of the cloud services and service provider capabilities in cloud analytics deployments.

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