Download or read book Mastering Apache Flink written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the Power of Stream Processing and Batch Data Analytics Are you ready to dive into the world of stream processing and batch data analytics with Apache Flink? "Mastering Apache Flink" is your comprehensive guide to unlocking the full potential of this cutting-edge framework for real-time data processing. Whether you're a data engineer looking to optimize data flows or a data scientist aiming to derive insights from large datasets, this book equips you with the knowledge and tools to master the art of Flink-based data processing. Key Features: 1. In-Depth Exploration of Apache Flink: Immerse yourself in the core principles of Apache Flink, understanding its architecture, components, and capabilities. Build a solid foundation that empowers you to process data in both real-time and batch modes. 2. Installation and Configuration: Master the art of installing and configuring Apache Flink on various platforms. Learn about cluster setup, resource management, and configuration tuning for optimal performance. 3. Flink Data Streams: Dive into Flink's data stream processing capabilities. Explore event time processing, windowing, and stateful computations for real-time data analysis. 4. Flink Batch Processing: Uncover the power of Flink for batch data analytics. Learn how to process large datasets using Flink's batch processing mode for efficient analysis. 5. Flink SQL: Delve into Flink's SQL and Table API. Discover how to write SQL queries and perform transformations on structured and semi-structured data for intuitive data manipulation. 6. Flink's State Management: Master Flink's state management mechanisms. Learn how to manage application state for fault tolerance and how to work with savepoints and checkpoints. 7. Complex Event Processing with CEP: Explore Flink's complex event processing capabilities. Learn how to detect patterns, anomalies, and trends in data streams for real-time insights. 8. Machine Learning with FlinkML: Embark on a journey into machine learning with FlinkML. Learn how to implement predictive analytics and machine learning algorithms for data-driven models. 9. Flink Ecosystem and Integrations: Navigate Flink's ecosystem of libraries and integrations. From data ingestion with Apache Kafka to collaborative analytics with Zeppelin, explore tools that enhance Flink's functionalities. 10. Real-World Applications: Gain insights into real-world use cases of Apache Flink across industries. From IoT data processing to fraud detection, explore how organizations leverage Flink for real-time insights. Who This Book Is For: "Mastering Apache Flink" is an indispensable resource for data engineers, analysts, and IT professionals who want to excel in stream processing and batch data analytics using Flink. Whether you're new to Flink or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of this powerful framework.

Download or read book Mastering Apache Flink written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the Power of Stream Processing and Batch Data Analytics Are you ready to dive into the world of stream processing and batch data analytics with Apache Flink? "Mastering Apache Flink" is your comprehensive guide to unlocking the full potential of this cutting-edge framework for real-time data processing. Whether you're a data engineer looking to optimize data flows or a data scientist aiming to derive insights from large datasets, this book equips you with the knowledge and tools to master the art of Flink-based data processing. Key Features: 1. In-Depth Exploration of Apache Flink: Immerse yourself in the core principles of Apache Flink, understanding its architecture, components, and capabilities. Build a solid foundation that empowers you to process data in both real-time and batch modes. 2. Installation and Configuration: Master the art of installing and configuring Apache Flink on various platforms. Learn about cluster setup, resource management, and configuration tuning for optimal performance. 3. Flink Data Streams: Dive into Flink's data stream processing capabilities. Explore event time processing, windowing, and stateful computations for real-time data analysis. 4. Flink Batch Processing: Uncover the power of Flink for batch data analytics. Learn how to process large datasets using Flink's batch processing mode for efficient analysis. 5. Flink SQL: Delve into Flink's SQL and Table API. Discover how to write SQL queries and perform transformations on structured and semi-structured data for intuitive data manipulation. 6. Flink's State Management: Master Flink's state management mechanisms. Learn how to manage application state for fault tolerance and how to work with savepoints and checkpoints. 7. Complex Event Processing with CEP: Explore Flink's complex event processing capabilities. Learn how to detect patterns, anomalies, and trends in data streams for real-time insights. 8. Machine Learning with FlinkML: Embark on a journey into machine learning with FlinkML. Learn how to implement predictive analytics and machine learning algorithms for data-driven models. 9. Flink Ecosystem and Integrations: Navigate Flink's ecosystem of libraries and integrations. From data ingestion with Apache Kafka to collaborative analytics with Zeppelin, explore tools that enhance Flink's functionalities. 10. Real-World Applications: Gain insights into real-world use cases of Apache Flink across industries. From IoT data processing to fraud detection, explore how organizations leverage Flink for real-time insights. Who This Book Is For: "Mastering Apache Flink" is an indispensable resource for data engineers, analysts, and IT professionals who want to excel in stream processing and batch data analytics using Flink. Whether you're new to Flink or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of this powerful framework.

Download or read book Mastering Apache Pulsar written by Jowanza Joseph and published by "O'Reilly Media, Inc.". This book was released on 2021-12-06 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every enterprise application creates data, including log messages, metrics, user activity, and outgoing messages. Learning how to move these items is almost as important as the data itself. If you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds. Jowanza Joseph, staff software engineer at Finicity, explains how to deploy production Pulsar clusters, write reliable event streaming applications, and build scalable real-time data pipelines with this platform. Through detailed examples, you'll learn Pulsar's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the load manager, and the storage layer. This book helps you: Understand how event streaming fits in the big data ecosystem Explore Pulsar producers, consumers, and readers for writing and reading events Build scalable data pipelines by connecting Pulsar with external systems Simplify event-streaming application building with Pulsar Functions Manage Pulsar to perform monitoring, tuning, and maintenance tasks Use Pulsar's operational measurements to secure a production cluster Process event streams using Flink and query event streams using Presto

Download or read book Mastering Apache Spark written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Potential of Distributed Data Processing with Apache Spark Are you prepared to venture into the realm of distributed data processing and analytics with Apache Spark? "Mastering Apache Spark" is your comprehensive guide to unlocking the full potential of this powerful framework for big data processing. Whether you're a data engineer seeking to optimize data pipelines or a business analyst aiming to extract insights from massive datasets, this book equips you with the knowledge and tools to master the art of Spark-based data processing. Key Features: 1. Deep Dive into Apache Spark: Immerse yourself in the core principles of Apache Spark, comprehending its architecture, components, and versatile functionalities. Construct a robust foundation that empowers you to manage big data with precision. 2. Installation and Configuration: Master the art of installing and configuring Apache Spark across diverse platforms. Learn about cluster setup, resource allocation, and configuration tuning for optimal performance. 3. Spark Core and RDDs: Uncover the core of Spark—Resilient Distributed Datasets (RDDs). Explore the functional programming paradigm and leverage RDDs for efficient and fault-tolerant data processing. 4. Structured Data Processing with Spark SQL: Delve into Spark SQL for querying structured data with ease. Learn how to execute SQL queries, perform data manipulations, and tap into the power of DataFrames. 5. Streamlining Data Processing with Spark Streaming: Discover the power of real-time data processing with Spark Streaming. Learn how to handle continuous data streams and perform near-real-time analytics. 6. Machine Learning with MLlib: Master Spark's machine learning library, MLlib. Dive into algorithms for classification, regression, clustering, and recommendation, enabling you to develop sophisticated data-driven models. 7. Graph Processing with GraphX: Embark on a journey through graph processing with Spark's GraphX. Learn how to analyze and visualize graph data to glean insights from complex relationships. 8. Data Processing with Spark Structured Streaming: Explore the world of structured streaming in Spark. Learn how to process and analyze data streams with the declarative power of DataFrames. 9. Spark Ecosystem and Integrations: Navigate Spark's rich ecosystem of libraries and integrations. From data ingestion with Apache Kafka to interactive analytics with Apache Zeppelin, explore tools that enhance Spark's capabilities. 10. Real-World Applications: Gain insights into real-world use cases of Apache Spark across industries. From fraud detection to sentiment analysis, discover how organizations leverage Spark for data-driven innovation. Who This Book Is For: "Mastering Apache Spark" is a must-have resource for data engineers, analysts, and IT professionals poised to excel in the world of distributed data processing using Spark. Whether you're new to Spark or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of this transformative framework.

Download or read book Mastering Apache Hadoop written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Power of Big Data Processing with Apache Hadoop Ecosystem Are you ready to embark on a journey into the world of big data processing and analysis using Apache Hadoop? "Mastering Apache Hadoop" is your comprehensive guide to understanding and harnessing the capabilities of Hadoop for processing and managing massive datasets. Whether you're a data engineer seeking to optimize processing pipelines or a business analyst aiming to extract insights from large data, this book equips you with the knowledge and tools to master the art of Hadoop-based data processing. Key Features: 1. Deep Dive into Hadoop Ecosystem: Immerse yourself in the core components and concepts of the Apache Hadoop ecosystem. Understand the architecture, components, and functionalities that make Hadoop a powerful platform for big data. 2. Installation and Configuration: Master the art of installing and configuring Hadoop on various platforms. Learn about cluster setup, resource management, and configuration settings for optimal performance. 3. Hadoop Distributed File System (HDFS): Uncover the power of HDFS for distributed storage and data management. Explore concepts like replication, fault tolerance, and data placement to ensure data durability. 4. MapReduce and Data Processing: Delve into MapReduce, the core data processing paradigm in Hadoop. Learn how to write MapReduce jobs, optimize performance, and leverage parallel processing for efficient data analysis. 5. Data Ingestion and ETL: Discover techniques for ingesting and transforming data in Hadoop. Explore tools like Apache Sqoop and Apache Flume for extracting data from various sources and loading it into Hadoop. 6. Data Querying and Analysis: Master querying and analyzing data using Hadoop. Learn about Hive, Pig, and Spark SQL for querying structured and semi-structured data, and uncover insights that drive informed decisions. 7. Data Storage Formats: Explore data storage formats optimized for Hadoop. Learn about Avro, Parquet, and ORC, and understand how to choose the right format for efficient storage and retrieval. 8. Batch and Stream Processing: Uncover strategies for batch and real-time data processing in Hadoop. Learn how to use Apache Spark and Apache Flink to process data in both batch and streaming modes. 9. Data Visualization and Reporting: Discover techniques for visualizing and reporting on Hadoop data. Explore integration with tools like Apache Zeppelin and Tableau to create compelling visualizations. 10. Real-World Applications: Gain insights into real-world use cases of Apache Hadoop across industries. From financial analysis to social media sentiment analysis, explore how organizations are leveraging Hadoop's capabilities for data-driven innovation. Who This Book Is For: "Mastering Apache Hadoop" is an essential resource for data engineers, analysts, and IT professionals who want to excel in big data processing using Hadoop. Whether you're new to Hadoop or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of big data technology.

Download or read book Mastering Apache Spark 2 x written by Romeo Kienzler and published by Packt Publishing Ltd. This book was released on 2017-07-26 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. Extend your data processing capabilities to process huge chunk of data in minimum time using advanced concepts in Spark. Master the art of real-time processing with the help of Apache Spark 2.x Who This Book Is For If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected. What You Will Learn Examine Advanced Machine Learning and DeepLearning with MLlib, SparkML, SystemML, H2O and DeepLearning4J Study highly optimised unified batch and real-time data processing using SparkSQL and Structured Streaming Evaluate large-scale Graph Processing and Analysis using GraphX and GraphFrames Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker, Kubernetes and the IBM Cloud Understand internal details of cost based optimizers used in Catalyst, SystemML and GraphFrames Learn how specific parameter settings affect overall performance of an Apache Spark cluster Leverage Scala, R and python for your data science projects In Detail Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and SQL. This book aims to take your knowledge of Spark to the next level by teaching you how to expand Spark's functionality and implement your data flows and machine/deep learning programs on top of the platform. The book commences with an overview of the Spark ecosystem. It will introduce you to Project Tungsten and Catalyst, two of the major advancements of Apache Spark 2.x. You will understand how memory management and binary processing, cache-aware computation, and code generation are used to speed things up dramatically. The book extends to show how to incorporate H20, SystemML, and Deeplearning4j for machine learning, and Jupyter Notebooks and Kubernetes/Docker for cloud-based Spark. During the course of the book, you will learn about the latest enhancements to Apache Spark 2.x, such as interactive querying of live data and unifying DataFrames and Datasets. You will also learn about the updates on the APIs and how DataFrames and Datasets affect SQL, machine learning, graph processing, and streaming. You will learn to use Spark as a big data operating system, understand how to implement advanced analytics on the new APIs, and explore how easy it is to use Spark in day-to-day tasks. Style and approach This book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.

Download or read book Mastering Apache Airflow written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empower Your Data Workflow Orchestration and Automation Are you ready to embark on a journey into the world of data workflow orchestration and automation with Apache Airflow? "Mastering Apache Airflow" is your comprehensive guide to harnessing the full potential of this powerful platform for managing complex data pipelines. Whether you're a data engineer striving to optimize workflows or a business analyst aiming to streamline data processing, this book equips you with the knowledge and tools to master the art of Airflow-based workflow automation.

Download or read book Mastering Apache Hbase written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Power of Scalable and Distributed Data Storage with "Mastering Apache HBase" In the rapidly evolving landscape of data management, the ability to efficiently handle massive amounts of data has become an indispensable skill. "Mastering Apache HBase" serves as your definitive guide to mastering one of the most powerful and flexible distributed NoSQL databases – Apache HBase. Whether you're a seasoned data professional or a newcomer to the world of big data, this book equips you with the knowledge and skills needed to harness the full potential of Apache HBase. About the Book: "Mastering Apache HBase" takes you on a comprehensive journey through the intricacies of this robust and versatile NoSQL database. From the fundamentals of installation and configuration to advanced topics such as performance tuning and integration with other Big Data tools, this book covers it all. Each chapter is meticulously crafted to provide a deep understanding of the concepts along with practical, real-world applications. Key Features: · Solid Foundation: Build a strong understanding by exploring the core concepts of Apache HBase, including its architecture, data model, and storage components. · Efficient Data Management: Learn how to create tables, insert and retrieve data, and implement effective data modeling strategies that maximize performance and flexibility. · Scalability and Distribution: Dive into the distributed nature of Apache HBase and discover techniques to scale your cluster horizontally, ensuring seamless growth as your data needs expand. · Advanced Techniques: Master advanced topics such as data versioning, coprocessors, security, and backup and recovery, enabling you to tackle complex scenarios with confidence. · Performance Optimization: Uncover strategies and best practices for optimizing the performance of your Apache HBase cluster, ensuring your applications run smoothly even at scale. · Integration with Ecosystem: Explore how Apache HBase seamlessly integrates with other Big Data tools like Apache Hadoop, Apache Spark, and Apache Hive, opening up possibilities for data analysis and processing. · Real-World Use Cases: Learn through practical examples and use cases from various industries, including social media, e-commerce, finance, and more, to understand how Apache HBase can solve real-world data challenges. · Expert Insights: Benefit from the experience of seasoned professionals who provide insights, tips, and recommendations garnered from their years of working with Apache HBase. Who This Book Is For: "Mastering Apache HBase" is designed for data engineers, database administrators, and anyone involved in managing and analyzing large volumes of data. Whether you're a developer looking to expand your skillset or an experienced professional aiming to deepen your understanding of distributed data storage, this book is your ultimate resource. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Download or read book Mastering Data Storage and Processing written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Power of Effective Data Storage and Processing with "Mastering Data Storage and Processing" In today's data-driven world, the ability to store, manage, and process data effectively is the cornerstone of success. "Mastering Data Storage and Processing" is your definitive guide to mastering the art of seamlessly managing and processing data for optimal performance and insights. Whether you're an experienced data professional or a newcomer to the realm of data management, this book equips you with the knowledge and skills needed to navigate the intricacies of modern data storage and processing. About the Book: "Mastering Data Storage and Processing" takes you on an enlightening journey through the intricacies of data storage and processing, from foundational concepts to advanced techniques. From storage systems to data pipelines, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Foundational Principles: Build a strong foundation by understanding the core principles of data storage technologies, file systems, and data processing paradigms. · Storage Systems: Explore a range of data storage systems, from relational databases and NoSQL databases to cloud-based storage solutions, understanding their strengths and applications. · Data Modeling and Design: Learn how to design effective data schemas, optimize storage structures, and establish relationships for efficient data organization. · Data Processing Paradigms: Dive into various data processing paradigms, including batch processing, stream processing, and real-time analytics, for extracting valuable insights. · Big Data Technologies: Master the essentials of big data technologies such as Hadoop, Spark, and distributed computing frameworks for processing massive datasets. · Data Pipelines: Understand the design and implementation of data pipelines for data ingestion, transformation, and loading, ensuring seamless data flow. · Scalability and Performance: Discover strategies for optimizing data storage and processing systems for scalability, fault tolerance, and high performance. · Real-World Use Cases: Gain insights from real-world examples across industries, from finance and healthcare to e-commerce and beyond. · Data Security and Privacy: Explore best practices for data security, encryption, access control, and compliance to protect sensitive information. Who This Book Is For: "Mastering Data Storage and Processing" is designed for data engineers, developers, analysts, and anyone passionate about effective data management. Whether you're aiming to enhance your skills or embark on a journey toward becoming a data management expert, this book provides the insights and tools to navigate the complexities of data storage and processing. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Download or read book Mastering Hadoop 3 written by Chanchal Singh and published by Packt Publishing Ltd. This book was released on 2019-02-28 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to mastering the most advanced Hadoop 3 concepts Key FeaturesGet to grips with the newly introduced features and capabilities of Hadoop 3Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystemSharpen your Hadoop skills with real-world case studies and codeBook Description Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency. With this guide, you’ll understand advanced concepts of the Hadoop ecosystem tool. You’ll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You’ll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you’ll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals. By the end of this book, you’ll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you’ll be equipped to tackle a range of real-world problems in data pipelines. What you will learnGain an in-depth understanding of distributed computing using Hadoop 3Develop enterprise-grade applications using Apache Spark, Flink, and moreBuild scalable and high-performance Hadoop data pipelines with security, monitoring, and data governanceExplore batch data processing patterns and how to model data in HadoopMaster best practices for enterprises using, or planning to use, Hadoop 3 as a data platformUnderstand security aspects of Hadoop, including authorization and authenticationWho this book is for If you want to become a big data professional by mastering the advanced concepts of Hadoop, this book is for you. You’ll also find this book useful if you’re a Hadoop professional looking to strengthen your knowledge of the Hadoop ecosystem. Fundamental knowledge of the Java programming language and basics of Hadoop is necessary to get started with this book.

Download or read book Mastering Kafka Streams and ksqlDB written by Mitch Seymour and published by O'Reilly Media. This book was released on 2021-02-04 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time. Mitch Seymour, data services engineer at Mailchimp, explains important stream processing concepts against a backdrop of several interesting business problems. You'll learn the strengths of both Kafka Streams and ksqlDB to help you choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. Learn the basics of Kafka and the pub/sub communication pattern Build stateless and stateful stream processing applications using Kafka Streams and ksqlDB Perform advanced stateful operations, including windowed joins and aggregations Understand how stateful processing works under the hood Learn about ksqlDB's data integration features, powered by Kafka Connect Work with different types of collections in ksqlDB and perform push and pull queries Deploy your Kafka Streams and ksqlDB applications to production

Download or read book Mastering Cloud Data written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-06 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.

Download or read book Mastering RabbitMQ written by Emrah Ayanoglu and published by Packt Publishing Ltd. This book was released on 2016-01-06 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art of developing message-based applications with RabbitMQ About This Book Learn how to administer, manage, and extend your own message broker, RabbitMQ Develop clients to make a message bridge between your software systems using RabbitMQ Discover how to achieve proficiency with RabbitMQ with the well-defined descriptions of the topics Who This Book Is For If you are an intermediate-level RabbitMQ developer, who wants to achieve professional-level expertise in the subject, this book is for you. You'll also need to have a decent understanding of message queuing. What You Will Learn Administer RabbitMQ using different tools Understand the roots and details of messaging, message brokers, and AMQP protocol Scale the RabbitMQ server using the clusters and high availability techniques Extend RabbitMQ by developing the Erlang OTP-based applications that use the RabbitMQ API Manage the RabbitMQ server using its powerful tools Monitor the RabbitMQ Server using different open source tools such as Nagios, Munin, and Zabbix Ensure your RabbitMQ's security using SSL, SASL, and access control Develop RabbitMQ clients using Java, Python, and C# with an industry example In Detail RabbitMQ is one of the most powerful Open Source message broker software, which is widely used in tech companies such as Mozilla, VMware, Google, AT&T, and so on. RabbitMQ gives you lots of fantastic and easy-to-manage functionalities to control and manage the messaging facility with lots of community support. As scalability is one of our major modern problems, messaging with RabbitMQ is the main part of the solution to this problem. This book explains and demonstrates the RabbitMQ server in a detailed way. It provides you with lots of real-world examples and advanced solutions to tackle the scalability issues. You'll begin your journey with the installation and configuration of the RabbitMQ server, while also being given specific details pertaining to the subject. Next, you'll study the major problems that our server faces, including scalability and high availability, and try to get the solutions for both of these issues by using the RabbitMQ mechanisms. Following on from this, you'll get to design and develop your own plugins using the Erlang language and RabbitMQ's internal API. This knowledge will help you to start with the management and monitoring of the messages, tools, and applications. You'll also gain an understanding of the security and integrity of the messaging facilities that RabbitMQ provides. In the last few chapters, you will build and keep track of your clients (senders and receivers) using Java, Python, and C#. Style and approach An easy-to-follow guide, full of hands-on examples based around managing, monitoring, extending, and securing RabbitMQ and its internal tools. You will learn how to develop your own clients using Java, Python, and C#.

Download or read book Mastering Java for Data Science written by Alexey Grigorev and published by Packt Publishing Ltd. This book was released on 2017-04-27 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Java to create a diverse range of Data Science applications and bring Data Science into production About This Book An overview of modern Data Science and Machine Learning libraries available in Java Coverage of a broad set of topics, going from the basics of Machine Learning to Deep Learning and Big Data frameworks. Easy-to-follow illustrations and the running example of building a search engine. Who This Book Is For This book is intended for software engineers who are comfortable with developing Java applications and are familiar with the basic concepts of data science. Additionally, it will also be useful for data scientists who do not yet know Java but want or need to learn it. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing the existing stack, this book is for you! What You Will Learn Get a solid understanding of the data processing toolbox available in Java Explore the data science ecosystem available in Java Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images Create your own search engine Get state-of-the-art performance with XGBoost Learn how to build deep neural networks with DeepLearning4j Build applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Java is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises. Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort. This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data. Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings. Style and approach This is a practical guide where all the important concepts such as classification, regression, and dimensionality reduction are explained with the help of examples.

Download or read book Mastering Data Ingestion written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efficiently Capture and Prepare Data for Analysis Are you ready to optimize the way your organization captures and prepares data for analysis? "Mastering Data Ingestion" is your definitive guide to mastering the art of efficiently collecting, transforming, and organizing data for insights. Whether you're a data engineer streamlining data pipelines or a business leader aiming to leverage accurate information, this book equips you with the knowledge and strategies to excel in data ingestion. Key Features: 1. Enter the World of Data Ingestion: Immerse yourself in the realm of data ingestion, understanding its significance, challenges, and opportunities. Build a strong foundation that empowers you to design seamless processes for data collection. 2. Data Collection Techniques: Master various data collection techniques. Learn about batch processing, real-time streaming, and event-driven approaches for ingesting data from diverse sources. 3. Data Transformation and Enrichment: Delve into data transformation and enrichment during ingestion. Explore techniques for cleansing, structuring, and augmenting data to ensure its quality and usability. 4. Ingestion Patterns and Architectures: Uncover the power of data ingestion patterns and architectures. Learn how to design scalable and fault-tolerant data pipelines that handle high volumes of information. 5. Data Formats and Serialization: Explore data formats and serialization techniques. Learn how to handle diverse data structures, choose appropriate serialization methods, and ensure interoperability. 6. Ingestion Tools and Platforms: Discover a range of tools and platforms for data ingestion. Explore ETL (Extract, Transform, Load) tools, message brokers, and cloud-based services for efficient data movement. 7. Real-Time Data Ingestion: Master real-time data ingestion techniques. Learn how to capture and process streaming data for instant insights and timely decision-making. 8. Data Ingestion Best Practices: Delve into best practices for successful data ingestion projects. Learn how to handle data schema evolution, ensure data integrity, and optimize performance. 9. Cloud Data Ingestion: Explore cloud-based data ingestion strategies. Learn how to ingest data from cloud services, integrate with cloud databases, and leverage serverless architectures. 10. Real-World Applications: Gain insights into real-world use cases of data ingestion across industries. From IoT data streams to social media feeds, discover how organizations leverage efficient data collection for competitive advantage. Who This Book Is For: "Mastering Data Ingestion" is an essential resource for data engineers, analysts, and business professionals aiming to excel in efficiently collecting and preparing data for analysis. Whether you're enhancing your technical skills or optimizing data workflows, this book will guide you through the intricacies and empower you to harness the full potential of data ingestion. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Download or read book Mastering Scala written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you ready to dive into the world of advanced programming with confidence and expertise? "Mastering Scala" is your gateway to unlocking the true power of the Scala programming language. Whether you're an experienced developer seeking to expand your horizons or a programming enthusiast ready to embark on a transformative journey, this comprehensive guide will equip you with the skills to develop elegant, scalable, and high-performance software. Key Features: 1. In-Depth Exploration of Scala Fundamentals: Immerse yourself in the core concepts of Scala programming, from its unique blend of object-oriented and functional paradigms to its expressive syntax. Build a strong foundation that enables you to tackle complex programming challenges. 2. Functional Programming Mastery: Discover the beauty of functional programming in Scala. Learn how to leverage higher-order functions, immutability, and pattern matching to create clean, maintainable code that is both concise and powerful. 3. Concurrency and Parallelism: Dive into Scala's concurrent and parallel programming capabilities. Explore actors, Futures, and parallel collections to build responsive, highly performant applications that excel in a multi-core world. 4. Advanced Data Structures and Algorithms: Elevate your programming skills by mastering advanced data structures and algorithms in Scala. From sets and maps to trees and graphs, learn how to solve intricate problems using Scala's powerful abstractions. 5. Building Robust Applications: Explore best practices for structuring and organizing your Scala projects. Gain insights into error handling, testing, and writing code that is not only functional but also robust and easy to maintain. 6. Leveraging Scala's Ecosystem: Maximize your productivity by exploring the vibrant ecosystem of Scala libraries and frameworks. From web development to data analysis, discover tools that will help you create software efficiently and effectively. 7. Type System and Advanced Language Features: Dive into Scala's sophisticated type system and explore advanced language features like implicits and type classes. Craft expressive, type-safe code that reflects the elegance of Scala. 8. Performance Optimization: Master the art of optimizing Scala applications for top-notch performance. Learn profiling techniques, memory management, and concurrency tuning to ensure your software runs efficiently. 9. Deployment and DevOps: Navigate the landscape of deploying Scala applications to various environments. Discover containerization and adopt DevOps practices that streamline your development-to-production pipeline. Who This Book Is For: "Mastering Scala" is an indispensable companion for developers of all skill levels who are passionate about mastering the Scala programming language. Whether you're a novice programmer or an experienced coder eager to embrace Scala's unique features, this book will guide you through the language's intricacies and empower you to create sophisticated, high-performance software.

Download or read book Mastering Redis database written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Full Potential of High-Performance Data Storage with "Mastering Redis Database" In the rapidly evolving landscape of data management, the ability to handle and process data with speed and efficiency has become paramount. "Mastering Redis Database" is your definitive guide to mastering one of the most powerful and versatile NoSQL databases – Redis. Whether you're a seasoned data professional or a newcomer to the world of data caching and in-memory databases, this book equips you with the knowledge and skills needed to harness the true capabilities of Redis. About the Book: "Mastering Redis Database" takes you on an enlightening journey through the intricacies of Redis, from its foundational concepts to advanced techniques. From simple caching to complex data structures, this book covers it all. Each chapter is carefully crafted to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Redis Foundations: Build a strong understanding of Redis's architecture, data types, and its role as an in-memory data store. · Data Structures: Learn how to leverage Redis's versatile data structures, including strings, lists, sets, sorted sets, and hashes, for efficient data storage and retrieval. · Advanced Techniques: Master advanced topics such as pub/sub messaging, Lua scripting, transactions, and data partitioning, allowing you to tackle complex scenarios with confidence. · Caching Strategies: Dive into Redis's caching capabilities, including cache eviction policies, TTL, and cache patterns, to enhance your application's performance. · High Availability and Replication: Explore Redis's mechanisms for ensuring high availability and data replication, providing fault tolerance and data durability. · Scaling Redis: Discover strategies for scaling Redis horizontally and vertically, enabling your applications to handle increasing data loads. · Integration and Ecosystem: Explore how Redis seamlessly integrates with other tools and frameworks, enabling you to build robust data pipelines and applications. · Real-World Use Cases: Gain insights from real-world examples spanning industries, from e-commerce and gaming to social media and real-time analytics. · Administration and Monitoring: Learn best practices for managing Redis instances, monitoring performance, and ensuring data security. Who This Book Is For: "Mastering Redis Database" is designed for developers, database administrators, and anyone seeking to leverage the power of in-memory databases. Whether you're new to Redis or aiming to deepen your expertise, this book provides the insights and tools to navigate the intricacies of Redis. Why You Should Read This Book: In a data-driven era where speed and performance are paramount, Redis stands as a leader in in-memory data storage. "Mastering Redis Database" empowers you to fully unlock its potential, enabling you to build applications that deliver lightning-fast responses, real-time analytics, and seamless user experiences. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com