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
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Speaker
Michele Launi
3
talks
Michele Launi is part of the Data Management team. His research focuses on evolving technology and process capabilities to support Data and Analytics Leaders. His research topics include Data Integration (ETL, ELT, Data Replication, Data Virtualization, Streaming), Data Architectures, and other emerging data management topics such as Federated Data Management, Data Products, Data Mesh, and Data Fabric.
Bio from: gartner-data-analytics-uk-2025
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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.
Data integration is evergreen, serving as a foundation element for any resilient data management strategy.
This session gives guidance on:
1. Data engineering top practices: What are the best practices to improve data integration?
2. Technology trends: What are the trends guiding the data integration technology?
3. Prioritization: Which of these top practices would prove to be the most impactful to your organization, given your current level of maturity?