Data and analytics leaders and their data engineering teams are tasked with evaluating and selecting data integration tools. However, there are many options, which can be confusing. This session will explain the various types of data integration tools and technologies available in the market, and help you select the right data integration tool for your needs.
talk-data.com
R
Speaker
Robert Thanaraj
3
talks
Robert Thanaraj equips data and analytics leaders with insights, advice and tools to achieve their mission-critical priorities around strategy, best practices, market guidance, technology selection, operating model, etc.
He can advise Gartner clients on several data management topics including:
- Optimizing data management technology landscape with Converged Data Management Platforms
- Modern Data Architecture approaches: Data Fabric, Mesh, Lakehouses, Operational Hubs, Marketplaces.
- Data Engineering practices including DataOps, Data Teams, Organization Models, Data Product Management, AI-Ready Data.
- Data Integration tools (ETL/ELT, CDC, Streaming, Data Virtualization, API, Data Preparation).
- DataOps tools for Data Pipeline Orchestration and Data Observability.
- Data Management in the cloud including Cloud Migration Planning, Multicloud Integration Strategy.
- Metadata capabilities including Active Metadata, Cataloging, Semantics, Lineage and Usage.
Bio from: gartner-data-analytics-apac-2025
Frequent Collaborators
Filtering by:
gartner-data-analytics-apac-2025
×
Filter by Event / Source
Talks & appearances
Showing 3 of 14 activities
Urgent Investments in data, analytics and AI use cases has put the spotlight once more on strong data management foundations. Is our Data even Ready for upcoming AI, analytics and data sharing initiatives is now top of mindshare for heads of data, CDAOs and their counterparts. Data Fabrics have emerged as a long term, foundational data management architecture that you should now pursue for sustained D&A success. This session will:
1. Help understand what data Fabrics are and what they mean for your data strategy and architecture
2. Help decide how to build and where to buy
3. Navigate the vendor landscape to assist in tech procurement decisions to aid your fabric journey
Discover how Data Mesh is transforming data management by decentralizing delivery and empowering business-driven D&A initiatives. You will find out what data mesh is, its benefits, and the most common challenges. We will provide a successful path based on the experience of early adopters, allowing you to avoid the most common pitfalls and adopt data mesh successfully.