A beginner's guide to get you up and running with Cassandra, DynamoDB, HBase, InfluxDB, MongoDB, Neo4j, and Redis Key Features Covers the basics of 7 NoSQL databases and how they are used in the enterprises Quick introduction to MongoDB, DynamoDB, Redis, Cassandra, Neo4j, InfluxDB, and HBase Includes effective techniques for database querying and management Book Description This is the golden age of open source NoSQL databases. With enterprises having to work with large amounts of unstructured data and moving away from expensive monolithic architecture, the adoption of NoSQL databases is rapidly increasing. Being familiar with the popular NoSQL databases and knowing how to use them is a must for budding DBAs and developers. This book introduces you to the different types of NoSQL databases and gets you started with seven of the most popular NoSQL databases used by enterprises today. We start off with a brief overview of what NoSQL databases are, followed by an explanation of why and when to use them. The book then covers the seven most popular databases in each of these categories: MongoDB, Amazon DynamoDB, Redis, HBase, Cassandra, InfluxDB, and Neo4j. The book doesn't go into too much detail about each database but teaches you enough to get started with them. By the end of this book, you will have a thorough understanding of the different NoSQL databases and their functionalities, empowering you to select and use the right database according to your needs. What you will learn Understand how MongoDB provides high-performance, high-availability, and automatic scaling Interact with your Neo4j instances via database queries, Python scripts, and Java application code Get familiar with common querying and programming methods to interact with Redis Study the different types of problems Cassandra can solve Work with HBase components to support common operations such as creating tables and reading/writing data Discover data models and work with CRUD operations using DynamoDB Discover what makes InfluxDB a great choice for working with time-series data Who this book is for If you are a budding DBA or a developer who wants to get started with the fundamentals of NoSQL databases, this book is for you. Relational DBAs who want to get insights into the various offerings of popular NoSQL databases will also find this book to be very useful.
Building modern applications with Java KEY FEATURES ● Recap your understanding of fundamental Java programming, including new features of Java 21. ● Explore how to use Java to interact with relational and NoSQL databases. ● Learn how to build full-stack web applications with Java. DESCRIPTION Code with Java 21 is a practical journey through one of the world’s most prolific computer programming languages. It is meant to help readers build up their knowledge of common Java programming constructs, data structures, and engineering paradigms. Filled with real-world examples, this book aims to build the reader’s understanding of building software applications with Java. Seasoned Java developers should buckle in as this book takes a hands-on approach to leveraging popular Java frameworks like Spring and Vaadin to build rich, feature-filled web applications. It also covers building powerful data-driven applications on enterprise-grade databases like PostgreSQL and Apache Cassandra®. This book will also show how to use Java to animate with colorful graphics and even build a simple arcade game. Around the world, Java runs on billions of devices. After its inception nearly 30 years ago, it remains one of the most popular and sought-after programming languages. Whether you are an aspiring computer hobbyist or want to gain a valuable skill en route to a lucrative career as a software developer, Code with Java 21 should be every developer’s go-to reference for building Java applications. WHAT YOU WILL LEARN ● Learn fundamental programming structures with Java. ● Explore the new features of Java 21. ● Build Java applications with databases like PostgreSQL and Apache Cassandra®. ● Learn how to build graphics and simple animations with Java. ● Leverage frameworks like Spring Boot and Spring Data. ● Build fully-featured web GUIs with Vaadin. WHO THIS BOOK IS FOR This book is for current and aspiring software developers who wish to learn or expand their current knowledge base of the Java programming language. While the new features of Java 21 are certainly a focus, this book also shows how to build real-world applications. TABLE OF CONTENTS 1. Getting to Know Java 2. Fundamental Programming Structures 3. Strings, Characters, and Regular Expressions 4. Arrays, Collections, and Records 5. Arithmetic Operations 6. Common Data Structures 7. Working with Databases 8. Web Applications 9. Graphics in Java 10. Final Java Project Appendix A: References Appendix B: UTF Conversion Chart Appendix C: Database Command Reference Appendix D: Common HTTP Response Codes Appendix E: Common Color Codes Appendix F: Garbage Collection
Build, manage, and configure high-performing, reliable NoSQL database for your applications with Cassandra Key FeaturesWrite programs more efficiently using Cassandra's features with the help of examplesConfigure Cassandra and fine-tune its parameters depending on your needsIntegrate Cassandra database with Apache Spark and build strong data analytics pipelineBook Description With ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features. Once you’ve covered a brief recap of the basics, you’ll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You’ll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You’ll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark. By the end of this book, you’ll be able to analyse big data, and build and manage high-performance databases for your application. What you will learnWrite programs more efficiently using Cassandra's features more efficientlyExploit the given infrastructure, improve performance, and tweak the Java Virtual Machine (JVM)Use CQL3 in your application in order to simplify working with CassandraConfigure Cassandra and fine-tune its parameters depending on your needsSet up a cluster and learn how to scale itMonitor a Cassandra cluster in different waysUse Apache Spark and other big data processing toolsWho this book is for Mastering Apache Cassandra 3.x is for you if you are a big data administrator, database administrator, architect, or developer who wants to build a high-performing, scalable, and fault-tolerant database. Prior knowledge of core concepts of databases is required.
Build, manage, and configure high-performing, reliable NoSQL database for your applications with Cassandra Key Features Write programs more efficiently using Cassandra's features with the help of examples Configure Cassandra and fine-tune its parameters depending on your needs Integrate Cassandra database with Apache Spark and build strong data analytics pipeline Book Description With ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features. Once you've covered a brief recap of the basics, you'll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You'll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You'll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark. By the end of this book, you'll be able to analyse big data, and build and manage high-performance databases for your application. What you will learn Write programs more efficiently using Cassandra's features more efficiently Exploit the given infrastructure, improve performance, and tweak the Java Virtual Machine (JVM) Use CQL3 in your application in order to simplify working with Cassandra Configure Cassandra and fine-tune its parameters depending on your needs Set up a cluster and learn how to scale it Monitor a Cassandra cluster in different ways Use Apache Spark and other big data processing tools Who this book is for Mastering Apache Cassandra 3.x is for you if you are a big data administrator, database administrator, architect, or developer who wants to build a high-performing, scalable, and fault-tolerant database. Prior knowledge of core concepts of databases is required.
Building modern applications with Java KEY FEATURES ● Recap your understanding of fundamental Java programming, including new features of Java 21. ● Explore how to use Java to interact with relational and NoSQL databases. ● Learn how to build full-stack web applications with Java. DESCRIPTION Code with Java 21 is a practical journey through one of the world’s most prolific computer programming languages. It is meant to help readers build up their knowledge of common Java programming constructs, data structures, and engineering paradigms. Filled with real-world examples, this book aims to build the reader’s understanding of building software applications with Java. Seasoned Java developers should buckle in as this book takes a hands-on approach to leveraging popular Java frameworks like Spring and Vaadin to build rich, feature-filled web applications. It also covers building powerful data-driven applications on enterprise-grade databases like PostgreSQL and Apache Cassandra®. This book will also show how to use Java to animate with colorful graphics and even build a simple arcade game. Around the world, Java runs on billions of devices. After its inception nearly 30 years ago, it remains one of the most popular and sought-after programming languages. Whether you are an aspiring computer hobbyist or want to gain a valuable skill en route to a lucrative career as a software developer, Code with Java 21 should be every developer’s go-to reference for building Java applications. WHAT YOU WILL LEARN ● Learn fundamental programming structures with Java. ● Explore the new features of Java 21. ● Build Java applications with databases like PostgreSQL and Apache Cassandra®. ● Learn how to build graphics and simple animations with Java. ● Leverage frameworks like Spring Boot and Spring Data. ● Build fully-featured web GUIs with Vaadin. WHO THIS BOOK IS FOR This book is for current and aspiring software developers who wish to learn or expand their current knowledge base of the Java programming language. While the new features of Java 21 are certainly a focus, this book also shows how to build real-world applications. TABLE OF CONTENTS 1. Getting to Know Java 2. Fundamental Programming Structures 3. Strings, Characters, and Regular Expressions 4. Arrays, Collections, and Records 5. Arithmetic Operations 6. Common Data Structures 7. Working with Databases 8. Web Applications 9. Graphics in Java 10. Final Java Project Appendix A: References Appendix B: UTF Conversion Chart Appendix C: Database Command Reference Appendix D: Common HTTP Response Codes Appendix E: Common Color Codes Appendix F: Garbage Collection
A beginner's guide to get you up and running with Cassandra, DynamoDB, HBase, InfluxDB, MongoDB, Neo4j, and Redis Key Features Covers the basics of 7 NoSQL databases and how they are used in the enterprises Quick introduction to MongoDB, DynamoDB, Redis, Cassandra, Neo4j, InfluxDB, and HBase Includes effective techniques for database querying and management Book Description This is the golden age of open source NoSQL databases. With enterprises having to work with large amounts of unstructured data and moving away from expensive monolithic architecture, the adoption of NoSQL databases is rapidly increasing. Being familiar with the popular NoSQL databases and knowing how to use them is a must for budding DBAs and developers. This book introduces you to the different types of NoSQL databases and gets you started with seven of the most popular NoSQL databases used by enterprises today. We start off with a brief overview of what NoSQL databases are, followed by an explanation of why and when to use them. The book then covers the seven most popular databases in each of these categories: MongoDB, Amazon DynamoDB, Redis, HBase, Cassandra, InfluxDB, and Neo4j. The book doesn't go into too much detail about each database but teaches you enough to get started with them. By the end of this book, you will have a thorough understanding of the different NoSQL databases and their functionalities, empowering you to select and use the right database according to your needs. What you will learn Understand how MongoDB provides high-performance, high-availability, and automatic scaling Interact with your Neo4j instances via database queries, Python scripts, and Java application code Get familiar with common querying and programming methods to interact with Redis Study the different types of problems Cassandra can solve Work with HBase components to support common operations such as creating tables and reading/writing data Discover data models and work with CRUD operations using DynamoDB Discover what makes InfluxDB a great choice for working with time-series data Who this book is for If you are a budding DBA or a developer who wants to get started with the fundamentals of NoSQL databases, this book is for you. Relational DBAs who want to get insights into the various offerings of popular NoSQL databases will also find this book to be very useful.
Build, manage, and configure high-performing, reliable NoSQL database for your applications with Cassandra Key FeaturesWrite programs more efficiently using Cassandra's features with the help of examplesConfigure Cassandra and fine-tune its parameters depending on your needsIntegrate Cassandra database with Apache Spark and build strong data analytics pipelineBook Description With ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features. Once you’ve covered a brief recap of the basics, you’ll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You’ll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You’ll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark. By the end of this book, you’ll be able to analyse big data, and build and manage high-performance databases for your application. What you will learnWrite programs more efficiently using Cassandra's features more efficientlyExploit the given infrastructure, improve performance, and tweak the Java Virtual Machine (JVM)Use CQL3 in your application in order to simplify working with CassandraConfigure Cassandra and fine-tune its parameters depending on your needsSet up a cluster and learn how to scale itMonitor a Cassandra cluster in different waysUse Apache Spark and other big data processing toolsWho this book is for Mastering Apache Cassandra 3.x is for you if you are a big data administrator, database administrator, architect, or developer who wants to build a high-performing, scalable, and fault-tolerant database. Prior knowledge of core concepts of databases is required.
Latin eugenics was a scientific, cultural and political programme designed to biologically empower modern European and American nations once commonly described as 'Latin', sharing genealogical, linguistic, religious, and cultural origins. Latin Eugenics in Comparative Perspective offers a comparative, nuanced approach to eugenics as a scientific programme as well as a cultural and political phenomenon. It examines the commonalities of eugenics in 'Latin' Europe and Latin America. As a program to achieve the social and political goals of modern welfare systems, Latin eugenics strongly influenced the complex relationship of the state to the individual. Drawing on a wide range of primary and secondary sources in many languages, this book offers the first history of Latin eugenics in Europe and the Americas.
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