Azure Data Fundamentals - A Guide to DP-900 Certification and Beyond

Learn the essential skills and concepts for working with data in the cloud using Microsoft Azure. With this practical guide, professionals new to data management and Azure will learn how to leverage Azure services such as Azure Cosmos DB, Azure Storage, Azure SQL, and Microsoft Fabric to create, store, process, analyze, and visualize data.

About the author

Michael John Pena is a passionate engineer and business leader who loves Data and AI. He has been working with cutting-edge technologies such as cloud computing, big data analytics, blockchain, IoT, and machine learning for over a decade and a half. He has been recognized as a Microsoft MVP for his expertise in Azure and actively contributes to emerging data technologies within the community. He works as the Data and AI Director at Playtime Solutions, an Australian tech consulting company. He uses technology to create new solutions like data warehouses, real-time analytics, and reports. In his previous life, he held many positions, such as CTO, Solutions Architect, and Technical Lead. MJ is an entrepreneur who co-founded and raised funding for a venture in Cryptocurrency and mobile development. He is adept at stakeholder management, team leadership, and business operations. MJ is a balanced individual who enjoys outdoor activities with his family, such as biking and running. He is always eager to learn new things and share his knowledge with others.

Product details

• Authors: Michael Pena, Michael Pena
• Publisher: O'Reilly
• Languages: English
• Product format: Paperback / Softback
• Release: 30.12.2025
• EAN: 9781098164737
• ISBN: 978-1-0981-6473-7
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Data communication, networks; COMPUTERS / Certification Guides / General, Cloud Computing, STUDY AIDS / Professional, COMPUTERS / Programming / Microsoft, COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Distributed Systems / Cloud Computing, COMPUTERS / Database Administration & Management