This comprehensive guide introduces you to Amazon's DynamoDB, a NoSQL database designed for high scalability and performance. Using this book, you will learn how to build robust web and mobile applications on DynamoDB and integrate it seamlessly with other AWS services for a complete cloud solution. What this Book will help me do Understand the key design concepts of DynamoDB and leverage its performance and scalability in your projects. Learn best practices for operating and managing DynamoDB tables, including optimizing throughput and designing efficient indexes. Master techniques for securing data in DynamoDB, including encryption and access management approaches. Explore integration strategies with other AWS services such as S3, EMR, and Lambda, to develop complex, real-world applications. Learn cost-effective solutions and tips for managing DynamoDB usage to avoid unnecessary expenses while maximizing resources. Author(s) None Deshpande, an expert in AWS and NoSQL databases, brings years of practical experience and engineering best practices to this book. With a strong focus on clear and actionable insights, Deshpande is dedicated to enabling developers to unlock the full potential of DynamoDB and related services for scalable application development. Who is it for? This book is most suited for developers and architects familiar with AWS who aim to deepen their understanding of DynamoDB. It is ideal for individuals looking to harness NoSQL databases for robust and scalable application solutions. The topics covered range from foundational knowledge to advanced integrations, making the book approachable yet comprehensive for both learners and seasoned practitioners.

In "DynamoDB Applied Design Patterns", you'll dive deep into the effective design patterns that optimize the performance of applications using DynamoDB. Through practical examples and best practices, this guide empowers developers to create scalable, efficient, and robust DynamoDB implementations. What this Book will help me do Master how to design effective data models using DynamoDB's native features such as tables, attributes, and indexes. Learn to utilize DynamoDB features like global and local secondary indexes to optimize performance. Gain in-depth knowledge on managing and querying DynamoDB using AWS services and tools. Integrate DynamoDB seamlessly with AWS services such as Redshift, S3, and MapReduce. Leverage advanced DynamoDB API features to retrieve data efficiently for diverse application use cases. Author(s) Uchit Hamendra Vyas is a highly skilled professional specializing in AWS and cloud computing. With years of experience as a developer and architect, he brings practical insights into designing efficient database solutions. His approachable teaching style makes complex topics clear and accessible. Who is it for? This book is designed for developers working with or interested in using DynamoDB in their projects. It assumes a moderate familiarity with database design and AWS concepts. Readers aiming to enhance their DynamoDB skills and optimize performance will greatly benefit. If you're looking to take your NoSQL database knowledge to the next level, this book is for you.

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools. RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You’ll gain valuable programming skills and support your work as a data scientist at the same time. Work hands-on with three practical data analysis projects based on casino games Store, retrieve, and change data values in your computer’s memory Write programs and simulations that outperform those written by typical R users Use R programming tools such as if else statements, for loops, and S3 classes Learn how to write lightning-fast vectorized R code Take advantage of R’s package system and debugging tools Practice and apply R programming concepts as you learn them

Build a simple serverless application using AWS Lambda and S3 bucket with Pulumi.