About this ebook
This book is recommended for students and professionals seeking practical mastery in Data Mesh, distributed data architecture, multi-cloud integration, governance, and data pipeline automation in modern corporate environments. The content covers everything from the fundamentals of Data Mesh to its implementation with leading frameworks such as AWS Lake Formation, Azure Synapse, Databricks, Google BigQuery, Kafka, Apache Spark, Kubernetes, Airflow, dbt, Snowflake, Terraform, Prometheus, Grafana, and ELK Stack.
Explore strategies for data decentralization, domain-oriented architecture, data product management, CI/CD pipeline automation, multidisciplinary team integration, monitoring, security, and scalability for high-performance data environments. Learn to build robust solutions, integrate heterogeneous sources, implement data governance practices, S3, IAM, deployment automation, observability, and compliance with LGPD/GDPR.
You will learn:
* Essential concepts and pillars of Data Mesh: domains, data products, interoperability, and self-service platforms
* Reference architecture with AWS, Azure, Google Cloud, Databricks, Snowflake, and Kubernetes
* Orchestration of data pipelines with Apache Airflow, dbt, Spark, Kafka, and Terraform
* Implementation of monitoring, observability, and automation with Prometheus, Grafana, and ELK Stack
* Data integration in multi-cloud, container, and edge computing environments
* Best practices in security, authentication, IAM, governance, and compliance
* Deployment automation, backup, versioning, and troubleshooting in corporate environments
By the end, you will be able to apply Data Mesh to create scalable, secure, auditable, and business-oriented data platforms, optimizing analytical and operational workflows in data-driven companies of any size.
data mesh data architecture AWS Azure Google Cloud Databricks Snowflake pipelines Apache Airflow dbt Spark Kafka Kubernetes automation, CI/CD, data products observability grafana ELK LGPD GDPR security IAM integration backup governance compliance
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About the author
Diego Rodrigues
Technical Author and Independent Researcher
ORCID: https://orcid.org/0009-0006-
StudioD21 Smart Tech Content & Intell Systems
Email: studiod21portoalegre@gmail.com
LinkedIn: linkedin.com/in/diegoexpertai
International technical author (tech writer) focused on the structured production of applied knowledge. He is the founder of StudioD21 Smart Tech Content & Intell Systems, where he leads the creation of intelligent frameworks and the publication of didactic technical books supported by artificial intelligence, such as the Kali Linux Extreme series, SMARTBOOKS D21, among others.
Holder of 42 international certifications issued by institutions such as IBM, Google, Microsoft, AWS, Cisco, META, Ec-Council, Palo Alto, and Boston University, he works in the fields of Artificial Intelligence, Machine Learning, Data Science, Big Data, Blockchain, Connectivity Technologies, Ethical Hacking, and Threat Intelligence.
Since 2003, he has developed more than 200 technical projects for brands in Brazil, the USA, and Mexico. In 2024, he established himself as one of the leading technical book authors of the new generation, with over 180 titles published in six languages. His work is based on his proprietary TECHWRITE 2.3 applied technical writing protocol, focused on scalability, conceptual precision, and practical applicability in professional environments.
