Database Design and Modeling with Google Cloud : Learn database design and development to take your data to applications, analytics, and AI
Language: English
Published by Packt Publishing, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 53.80
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Build faster and efficient real-world applications on the cloud with a fitting database model that's perfect for your needsKey FeaturesFamiliarize yourself with business and technical considerations involved in modeling the right databaseTake your data to applications, analytics, and AI with real-world examplesLearn how to code, build, and deploy end-to-end solutions with expert advicePurchase of the print or Kindle book includes a free PDF Elektronisches BuchBook DescriptionIn the age of lightning-speed delivery, customers want everything developed, built, and delivered at high speed and at scale. Knowledge, design, and choice of database is critical in that journey, but there is no one-size-fits-all solution. This book serves as a comprehensive and practical guide for data professionals who want to design and model their databases efficiently.The book begins by taking you through business, technical, and design considerations for databases. Next, it takes you on an immersive structured database deep dive for both transactional and analytical real-world use cases using Cloud SQL, Spanner, and BigQuery. As you progress, you'll explore semi-structured and unstructured database considerations with practical applications using Firestore, cloud storage, and more. You'll also find insights into operational considerations for databases and the database design journey for taking your data to AI with Vertex AI APIs and generative AI examples.By the end of this book, you will be well-versed in designing and modeling data and databases for your applications using Google Cloud.What you will learnUnderstand different use cases and real-world applications of data in the cloudWork with document and indexed NoSQL databasesGet to grips with modeling considerations for analytics, AI, and MLUse real-world examples to learn about ETL servicesDesign structured, semi-structured, and unstructured data for your applications and analyticsImprove observability, performance, security, scalability, latency SLAs, SLIs, and SLOsWho this book is forThis book is for database developers, data engineers, and architects looking to design, model, and build database applications on the cloud with an extended focus on operational consideration and taking their data to AI. Data scientists, as well ML and AI engineers who want to use Google Cloud services in the data to AI journey will also find plenty of useful information in this book. It will also be useful to data analysts and BI developers who want to use SQL impactfully to generate ML and generative AI insights from their data. Table of ContentsData, Databases, and DesignHandling Data on the CloudDatabase Modeling for Structured DataSetting Up a Fully Managed RDBMSDesigning an Analytical Data WarehouseDesigning for Semi-structured DataUnstructured Data ManagementDevOps and DatabasesData to AI - Modeling Your Databases for Analytics and MLLooking Ahead - Designing for LLM Applications.…
Seller Inventory # 9781804611456
- Title
- Database Design and Modeling with Google Cloud : Learn database design and development to take your data to applications, analytics, and AI
- Author
- Abirami Sukumaran
- Publisher
- Packt Publishing
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 180461145X
- ISBN 13
- 9781804611456
- Item weight
- 446 grams
- Dimensions
- 235x191x13 mm
Build faster and efficient real-world applications on the cloud with a fitting database model that's perfect for your needs
Key Features
- Familiarize yourself with business and technical considerations involved in modeling the right database
- Take your data to applications, analytics, and AI with real-world examples
- Learn how to code, build, and deploy end-to-end solutions with expert advice
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
In the age of lightning-speed delivery, customers want everything developed, built, and delivered at high speed and at scale. Knowledge, design, and choice of database is critical in that journey, but there is no one-size-fits-all solution. This book serves as a comprehensive and practical guide for data professionals who want to design and model their databases efficiently.
The book begins by taking you through business, technical, and design considerations for databases. Next, it takes you on an immersive structured database deep dive for both transactional and analytical real-world use cases using Cloud SQL, Spanner, and BigQuery. As you progress, you’ll explore semi-structured and unstructured database considerations with practical applications using Firestore, cloud storage, and more. You’ll also find insights into operational considerations for databases and the database design journey for taking your data to AI with Vertex AI APIs and generative AI examples.
By the end of this book, you will be well-versed in designing and modeling data and databases for your applications using Google Cloud.
What you will learn
- Understand different use cases and real-world applications of data in the cloud
- Work with document and indexed NoSQL databases
- Get to grips with modeling considerations for analytics, AI, and ML
- Use real-world examples to learn about ETL services
- Design structured, semi-structured, and unstructured data for your applications and analytics
- Improve observability, performance, security, scalability, latency SLAs, SLIs, and SLOs
Who this book is for
This book is for database developers, data engineers, and architects looking to design, model, and build database applications on the cloud with an extended focus on operational consideration and taking their data to AI. Data scientists, as well ML and AI engineers who want to use Google Cloud services in the data to AI journey will also find plenty of useful information in this book. It will also be useful to data analysts and BI developers who want to use SQL impactfully to generate ML and generative AI insights from their data.
Table of Contents
- Data, Databases, and Design
- Handling Data on the Cloud
- Database Modeling for Structured Data
- Setting Up a Fully Managed RDBMS
- Designing an Analytical Data Warehouse
- Designing for Semi-structured Data
- Unstructured Data Management
- DevOps and Databases
- Data to AI – Modeling Your Databases for Analytics and ML
- Looking Ahead – Designing for LLM Applications
"Synopsis" may belong to another edition of this title.
About the Author
Abirami Sukumaran has over 17 years of experience in application development and leadership in the areas of databases, data management, and analytics, across industries, with a few patents filed in the data management and data science areas. She is a lead developer advocate at Google specializing in Google Cloud databases and data to AI services, focusing on developer experience and product excellence enabling developers, practitioners, startups and customers to learn, build, and evolve with Google Cloud. She is pursuing a doctorate in business administration specializing in Machine Learning. She is a certified Yoga instructor/practitioner, blogger, and speaker who enjoys books, movies & learning to become a licensed private pilot.
"About the title" may belong to another edition of this title.
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