In this episode, I talk with technology executive and author Marcelo Leite. We discuss the concepts of a database, data warehouse, data lake, and data lake house. He explains how these concepts have evolved and are used in modern data management. We also discuss the importance of data classification and data loss prevention (DLP) in ensuring data security, introduce the concept of data mesh and its relevance for CTOs and CIOs and covering two main themes: data mesh and the impact of cloud-based data platforms on security. We end with the Kusto Query Language (KQL) and the trend of SaaS solutions for data platforms. Enjoy!
CHAPTERS
(00:00) Introduction and Background of Marcelo Leite
(07:40) Understanding the Concepts of Database, Data Warehouse, Data Lake, and Data Lake House
(19:14) The Importance of Data Classification and DLP in Data Security
(26:55) Exploring the Concept of Data Mesh
(32:02) Why CTOs and CIOs Should Consider Data Mesh
(33:09) Managing Complex Data Environments with Data Mesh
(41:00) Ensuring Security in Cloud-Based Data Platforms
(49:53) Analyzing Logs and Telemetry with Kusto Query Language (KQL)
(53:23) Simplifying Data Analytics with SaaS Solutions
(58:37) The Future of Data: Serving AI and Automation
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