Modern Data Architecture on Google Cloud
Packt Publishing Limited (Verlag)
978-1-80107-813-9 (ISBN)
Key Features
Learn to take advantage of GCP features to build modern data systems
Enhance your design decisions for modernizing on-premise systems on Google Cloud
Build a solid foundation of various data architectures like Data Lake, Data Mesh, Data Lakehouse and implement them using GCP
Book DescriptionData is a key asset for organizations in this era of digitization. Harnessing the insights from data is a key challenge as data is generated at high speed and volume. Use cases like advanced analytics, real-time analytics, and data science applications need data to be gathered and processed at scale. With the flexibility and advanced features of the public cloud, organizations are moving their existing data systems to the cloud or building future-ready data platforms.
GCP is one of the leading cloud providers with a huge catalog of data services. GCP uses the same infrastructure that powers Google Search, YouTube, Gmail, etc.
This book is a field guide that helps you build modern platforms on GCP. The book starts by going deep into the fundamentals of data architectures, then takes a hands-on approach to create a unified design for future-ready data platforms, and concludes with best practices for scalability and cost. This book offers a balanced approach of theoretical concepts and hands-on exercises to help readers learn to make decisions for selecting cloud services and technologies for architecture design and implementation.
By the end of the book you'll be able to build Data Architectures using GCP and scale them by Implementing systems for data analysis, visualisation, AI & MLWhat you will learn
Learn how to build Data platforms from scratch on GCP
Gain deeper understanding of various data architectures like Data Warehouse, Data Lake, Data Vault, Data Mesh & Data Lakehouse
Take decisions on choosing various services and technologies for the data platform
Implement enterprise level features of a data platform like data quality, data governance and compliance
Build complex DevOps and MLOps systems on GCP
Implementing data observability, logging, monitoring for the overall system
Learn best practices for various services and optimizing for cost on GCP
Who this book is forIf you are a data architect who wants to gain expertise in building enterprise ready data architectures on GCP, this book is an excellent handbook with hands-on examples for building it from scratch as well as take decisions while modernizing an on-premise data system onto Google Cloud.
Gopal Sahu is a Strategic Cloud Engineer (Cloud Data Architect) at Google with a decade of experience. He is known for designing datawarehouse and data lake architectures on GCP, modernizing data platforms for Fortune 5 and major e-commerce companies, and building EDW on MPP Database for a Fortune 50 organization. Gopal holds an M.Tech. in Data Science & Engineering from BITS Pilani and is a certified Google Professional Data Engineer. His strategic thinking, technical expertise, and professional qualifications make him a trusted authority in the field of data engineering, driving data innovation and enabling organizations to harness the power of advanced analytics and AI.
Table of Contents
Fundamentals of Data Architecture
Essentials of Data Engineering
Designing a Data Architecture
GCP for Data Analytics
GCP Networking
GCP Security
GCP Environment Set-up
Designing the Bronze Layer of Data & Implementing ingestion architecture
Data Catalog : Serverless, fully managed, scalable metadata management service
Silver Layer : Implementing data processing systems for batch
Silver Layer : Implementing data processing systems for streaming
Setting-up DevOps for development and deployment
Logging, Monitoring, Data Quality, Lineage and Observability
Implementing Golden Layer of Data
Orchestrating on GCP
Building Systems for Data Analysis and Visualisation
Design and Implement robust systems for Advanced Analytics ( AI & ML)
Migrating Data Platforms to GCP
Design Best practices for performance and cost
GCP Certifications for Data Architects
| Erscheinungsdatum | 27.01.2024 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| ISBN-10 | 1-80107-813-0 / 1801078130 |
| ISBN-13 | 978-1-80107-813-9 / 9781801078139 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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