Författare
Christopher Maneu
Christopher Maneu är en uppskattad författare inom Data och IT med totalt 1 bok tillgängliga på Bokkollen.
Bland verken finns Definitive Guide to Microsoft Fabric, som toppar listan över Christopher Maneus populäraste böcker. Verken spänner över data & it och tilltalar läsare som uppskattar genren.
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Definitive Guide to Microsoft Fabric
Master Microsoft Fabric from basics to advanced architectures with expert guidance to unify, secure, and scale analytics on real-world data platformsKey FeaturesBuild a complete data analytics platform with Microsoft FabricApply proven architectures, governance, and security strategiesGain real-world insights from five seasoned data expertsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMicrosoft Fabric is reshaping how organizations manage, analyze, and act on data by unifying ingestion, storage, transformation, analytics, AI, and visualization in a single platform.The Definitive Guide to Microsoft Fabric takes you from your very first workspace to building a secure, scalable, and future-proof analytics environment. You'll learn how to unify data in OneLake, design data meshes, transform and model data, implement real-time analytics, and integrate AI capabilities. The book also covers advanced topics, such as governance, security, cost optimization, and team collaboration using DevOps and DataOps principles. Drawing on the real-world expertise of five seasoned professionals who have built and advised on platforms for startups, SMEs, and Europe's largest enterprises, this book blends strategic insight with practical guidance.By the end of this book, you'll have gained the knowledge and skills to design, deploy, and operate a Microsoft Fabric platform that delivers sustainable business value.What you will learnUnderstand Microsoft Fabric architecture and conceptsUnify data storage and data governance with OneLakeIngest and transform data using multiple Fabric toolsImplement real-time analytics and event processingDesign effective semantic models and reportsIntegrate AI and machine learning into data workflowsApply governance, security, and compliance controlsOptimize performance and costs at scaleWho this book is forThis book is for data engineers, analytics engineers, architects, and data analysts moving into platform design roles. It's also valuable for technical leaders seeking to unify analytics in their organizations. You'll need only a basic grasp of databases, SQL, and Python.
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