Azure Modern Data Architecture
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Azure Modern Data Architecture

A Guide to Design and Implement a Modern Data Solutions

About the Book

This book presents a guide to design and implement scalable, secure, and efficient data solutions in the Azure cloud environment.

It provides Data Architects, developers, and IT professionals who are responsible for designing and implementing data solutions in the Azure cloud environment with the knowledge and tools needed to design and implement data solutions using the latest Azure data services. It covers a wide range of topics, including data storage, data processing, data analysis, and data integration.

In this book, you will learn how to select the appropriate Azure data services, design a data processing pipeline, implement real-time data processing, and implement advanced analytics using Azure Databricks and Azure Synapse Analytics. You will also learn how to implement data security and compliance, including data encryption, access control, and auditing.

Whether you are building a new data architecture from scratch or migrating an existing on�premises solution to Azure, the Azure Data Architecture Guidelines are an essential resource for any organization looking to harness the power of data in the cloud. With these guidelines, you will gain a deep understanding of the principles and best practices of Azure data architecture and be equipped to build data solutions that are highly scalable, secure, and cost effective. 

About the Author


As a Data Architect, I have had the privilege of working in the field of data management and architecture for many years for Total energies, AXA GO, ICF (SNCF Habitat), EDF and credit Agricole. During this time, I have had the opportunity to work on a variety of projects, ranging from small-scale data integrations to large-scale enterprise data solutions.

My passion for data architecture began early in my career, when I was working as a software developer. I became fascinated by the way that data was organized and managed within the applications I was building. This led me to explore data architecture in more depth, and I soon realized that I had found my calling.

Over the years, I have gained experience in a wide range of technologies and methodologies, including relational and non-relational data structures, ETL/ELT processes, data warehousing, big data, cloud computing, and more. I have also worked extensively with various data modeling techniques, such as ER modeling, dimensional modeling, and data vault modeling.

My work as a Data Architect has allowed me to work with clients across various industries, including healthcare, finance, retail, and manufacturing. I have worked on projects ranging from data migration and integration to large-scale data warehousing and business intelligence solutions.

In addition to my work as a Data Architect, I am also a passionate educator and writer. I have conducted numerous training sessions and workshops on various data-related topics and have written several articles and whitepapers on data architecture and related fields.

Also, I’m an MVP for many times. It's a recognition program that Microsoft runs to acknowledge and reward community members who contribute to the technical community through their expertise and leadership.

You can flow me on these platforms:

- YouTube channel: @Anouarbenzahra

- Twitter: @Anouarbenzahra

- NuGet package: Anouar

- LinkedIn: @Anouarbenzahra

- GitHub: @Anouarbenzahra 

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