Mastering Influxdb Database
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Mastering InfluxDB database
Unleash the Power of Time-Series Data with "Mastering InfluxDB Database" In the dynamic world of data management, efficiently handling time-series data has become an essential skill. "Mastering InfluxDB Database" is your ultimate guide to mastering one of the most powerful time-series databases available – InfluxDB. Whether you're a seasoned data professional or a newcomer to time-series data management, this book equips you with the knowledge and skills needed to harness the true capabilities of InfluxDB. About the Book: "Mastering InfluxDB Database" takes you on an enlightening journey through the intricacies of time-series data management and InfluxDB. From the core concepts of time-series databases to advanced techniques in data modeling, querying, and optimization, this book covers it all. Each chapter is carefully crafted to provide a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Time-Series Data Fundamentals: Establish a solid foundation by exploring the core concepts of time-series data, its unique challenges, and how InfluxDB addresses them. · Data Organization: Learn how to design efficient schemas and measurement structures that optimize data storage and query performance. · InfluxQL and Flux: Master both InfluxDB's native query language (InfluxQL) and the more recent query language (Flux) for flexible and powerful data querying. · Continuous Queries and Retention Policies: Understand how to set up continuous queries and retention policies to manage data granularity and retention efficiently. · Data Exploration: Discover techniques for data exploration, visualization, and analysis to gain insights from your time-series data. · High Availability and Scalability: Dive into strategies for deploying high availability clusters and scaling InfluxDB to meet the demands of large-scale data. · Integration and Ecosystem: Explore how InfluxDB seamlessly integrates with other tools and frameworks, enabling you to build comprehensive data pipelines and applications. · Real-World Applications: Gain insights from a variety of real-world use cases, from IoT sensor data and monitoring systems to financial analytics and DevOps. · Administration and Security: Learn best practices for database administration, security, and backup, ensuring data integrity and user privacy. Who This Book Is For: "Mastering InfluxDB Database" is designed for data engineers, developers, database administrators, and anyone passionate about leveraging the power of time-series data. Whether you're new to time-series databases or aiming to enhance your expertise, this book provides the insights and tools to navigate the complexities of InfluxDB. Why You Should Read This Book: In a data landscape where time matters, InfluxDB stands out as a leader in time-series data management. "Mastering InfluxDB Database" empowers you to fully harness its potential, enabling you to build applications that depend on real-time insights, predictive analytics, and historical trend analysis. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Mastering Apache Cassandra 3.x
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.
Mastering Kubernetes
Exploit design, deployment, and management of large-scale containers Key Features Explore the latest features available in Kubernetes 1.10 Ensure that your clusters are always available, scalable, and up to date Master the skills of designing and deploying large clusters on various cloud platforms Book Description Kubernetes is an open source system that is used to automate the deployment, scaling, and management of containerized applications. If you are running more containers or want automated management of your containers, you need Kubernetes at your disposal. To put things into perspective, Mastering Kubernetes walks you through the advanced management of Kubernetes clusters. To start with, you will learn the fundamentals of both Kubernetes architecture and Kubernetes design in detail. You will discover how to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. Using real-world use cases, you will explore the options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you will get to grips with custom resource development and utilization in automation and maintenance workflows. To scale up your knowledge of Kubernetes, you will encounter some additional concepts based on the Kubernetes 1.10 release, such as Promethus, Role-based access control, API aggregation, and more. By the end of this book, you’ll know everything you need to graduate from intermediate to advanced level of understanding Kubernetes. What you will learn Architect a robust Kubernetes cluster for long-time operation Discover the advantages of running Kubernetes on GCE, AWS, Azure, and bare metal Understand the identity model of Kubernetes, along with the options for cluster federation Monitor and troubleshoot Kubernetes clusters and run a highly available Kubernetes Create and configure custom Kubernetes resources and use third-party resources in your automation workflows Enjoy the art of running complex stateful applications in your container environment Deliver applications as standard packages Who this book is for Mastering Kubernetes is for you if you are a system administrator or a developer who has an intermediate understanding of Kubernetes and wish to master its advanced features. Basic knowledge of networking would also be helpful. In all, this advanced-level book provides a smooth pathway to mastering Kubernetes.