Kafka E Schema Registry
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Kafka E Schema Registry
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Author : Rodrigo Vieira Pinto
language : pt-BR
Publisher: Casa do Código
Release Date : 2025-07-29
Kafka E Schema Registry written by Rodrigo Vieira Pinto and has been published by Casa do Código this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Computers categories.
Em sistemas distribuídos, manter produtores e consumidores em sintonia quanto à estrutura das mensagens é um desafio recorrente. É nesse cenário que o Schema Registry se destaca, permitindo a evolução segura dos contratos entre serviços. Neste livro, Rodrigo Vieira Pinto ensina como aplicar o Schema Registry na prática, criando produtores e consumidores Kafka com os formatos JSON Schema, Avro e Protobuf. Você vai explorar os principais endpoints da ferramenta e fazer a integração com o Kafka Connect para facilitar a comunicação com sistemas legados e fontes de dados externas. Com exemplos práticos e bem estruturados, o livro cobre desde a definição dos esquemas até sua aplicação em pipelines reais, sempre com foco em robustez e manutenibilidade. Tudo isso com o suporte de testes automatizados, para garantir qualidade e confiança ao longo do desenvolvimento.
Kafka Streams In Action Second Edition
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Author : Bill Bejeck
language : en
Publisher: Simon and Schuster
Release Date : 2024-05-28
Kafka Streams In Action Second Edition written by Bill Bejeck and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-28 with Computers categories.
Kafka Streams in Action, Second Edition teaches you how to create event streaming applications on the amazing Apache Kafka platform. This thoroughly revised new edition now covers a wider range of streaming architectures and includes data integration with Kafka Connect. As you go, you’ll explore real-world examples that introduce components and brokers, schema management, and the other essentials. Along the way, you'll pick up practical techniques for blending Kafka with Spring, low-level control of processors and state stores, storing event data with ksqlDB, and testing streaming applications.
Cloudera Cdp Generalist Exam Cdp 0011 Certification Practice 250 Questions Answer
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Author : QuickTechie | A career growth machine.
language : en
Publisher: QuickTechie.com | A career growth machine
Release Date :
Cloudera Cdp Generalist Exam Cdp 0011 Certification Practice 250 Questions Answer written by QuickTechie | A career growth machine. and has been published by QuickTechie.com | A career growth machine this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
This book serves as a detailed guide for candidates preparing for the Cloudera CDP Generalist Exam (CDP-0011). It is designed to provide the broad knowledge required to demonstrate proficiency across the Cloudera CDP platform, as measured by the exam. The target audience for this guide is wide-ranging, encompassing various roles involved with enterprise data on CDP. This includes Administrators, Developers, Data analysts, Data engineers, Data scientists, and System architects. Whether you are an experienced professional seeking to validate your skills or are just beginning your career in enterprise data, this book offers the necessary preparation to showcase your comprehensive understanding of CDP. The guide is specifically tailored to the CDP-0011 exam, which features 60 questions and has a duration of 90 minutes. The exam is delivered online and is proctored, requiring candidates to meet specific system requirements. It is a closed-book exam; no reference materials, white papers, user guides, or other resources are permitted during the test. While the exam pass score is not published, the book encourages candidates to aim for the highest possible score by mastering the covered topics. The content of this guide is structured around the key skills and knowledge areas measured by the CDP-0011 exam, reflecting the specified weightings: Describing the function of the main components of CDP architecture (25%, 15 questions): Covers core components such as HDFS, Ozone, Hive, Hue, YARN, Spark, Impala, Oozie, Kafka, NiFi, HBase, Phoenix, and Kudu. Describing and comparing security features of CDP Public Cloud and CDP Private Cloud Base (20%, 12 questions): Details Shared Data Experience (SDX), CDP Public integration with cloud SSO, CDP Private Cloud integration with LDAP and Kerberos, CDP Private Cloud Base HDFS transparent encryption, CDP Public Cloud security features leveraging cloud providers' storage security, how CDP protects data on the O/S file system (e.g., Cloudera Navigator encrypt), SSL/TLS implementation, and Kerberos authentication. Listing and describing 5 analytic experiences (15%, 9 questions): Explores Cloudera Data Engineering, Cloudera Data Warehouse, Cloudera Operational Database, Cloudera Machine Learning, and Cloudera Data Flow. Describing requirements to deploy CDP Public cloud on major cloud infrastructure providers (15%, 9 questions): Outlines the necessary considerations for deployment on AWS, Azure, and GCP. Describing local system requirements to deploy CDP Private Cloud Base (10%, 6 questions): Covers the prerequisites for setting up CDP Private Cloud Base environments. Describing the use and major functions of Cloudera Manager (5%, 3 questions): Focuses on the primary administrative tool for CDP Private Cloud Base. Describing the use and major functions of Workload XM (5%, 3 questions): Explains the capabilities for workload monitoring and management. Describing the use and major functions of Replication Manager (5%, 3 questions): Details the tool used for data replication and disaster recovery. This comprehensive guide, available from QuickTechie.com, provides the detailed preparation needed to understand the breadth of the Cloudera Data Platform and successfully pass the CDP Generalist Exam (CDP-0011).
Cloudera Cdp Data Operator Exam Cdp 3003 Certification Practice 250 Questions Answer
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Author : QuickTechie | A career growth machine
language : en
Publisher: QuickTechie.com | A career growth machine
Release Date :
Cloudera Cdp Data Operator Exam Cdp 3003 Certification Practice 250 Questions Answer written by QuickTechie | A career growth machine and has been published by QuickTechie.com | A career growth machine this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
About the CDP Data Operator Exam Guide CDP-3003 This guide provides comprehensive preparation material for the Cloudera Data Platform (CDP) Data Operator Exam, identified by the exam number CDP-3003. As presented on QuickTechie.com, this resource is designed to equip candidates with the necessary knowledge and skills to successfully pass the certification exam. Exam Status Note: It is important to note that, as of the information available, the exam is currently in a beta phase. Despite this, passing the exam during the beta period allows candidates to earn their certification. Target Audience: The CDP Data Operator Exam Guide is specifically tailored for professionals working as Data Operators who utilize the Cloudera Data Platform. The exam, and consequently this guide, focuses on the skills and knowledge required to effectively use CDP tools for data operations. This includes individuals proficient in ingesting and flowing data across complex enterprise ecosystems, both internally and externally, using Cloudera technologies. The guide covers generating data pipelines securely and adhering to best data streaming practices for big data clusters, with a strong emphasis on Apache NiFi and Apache Kafka. Knowledge of Cloudera Data Flow and MiNiFi is also a prerequisite for the target audience and is covered within the guide. Exam Details: The guide prepares candidates for an exam with the following specifications: Exam Number: CDP-3003 Number of Questions: 50 Duration: 90 minutes Pass Score: 55% Delivery Method: The exam is delivered online and is proctored. Candidates should review system requirements for online proctoring via QuestionMark. Allowed Resources: Strictly none. Candidates are prohibited from using any reference materials, white papers, user guides, or other resources during the exam. Support: Support contact is provided via email for assistance. Cloudera Skills & Knowledge Measured: The guide details the specific skills and knowledge areas assessed by the CDP-3003 exam, along with their weighting, as outlined in the exam objectives referenced by QuickTechie.com: NiFi (48% of exam): This significant portion covers NiFi Concepts and Fundamentals, Data Flows and Processors (including processors, connections, and data flows), ETL and record data operations (record-based components, read/write, enrich), Optimization and Troubleshooting (monitoring, reporting, troubleshooting, data flow optimization), Integration (site-to-site and general integration), and Security and Scalability aspects of NiFi. Kafka (30% of exam): This section focuses on Kafka Concepts and Fundamentals, Kafka APIs, Kafka Cluster Setup and Configuration (with less weight), Security and Scalability in Kafka environments, Monitoring and Operations, the Kafka Ecosystem, and Best Practices and Troubleshooting for Kafka. Data Flow (16% of exam): This part of the guide addresses Data Flow Fundamentals, Data Flow Deployments (specifically Flow Definitions), Data Flow Functions, and the use of ReadyFlows & Catalog within Cloudera Data Flow. MiNiFi: The guide also covers MiNiFi, including MiNiFi Concepts and Fundamentals, MiNiFi Installation and Configuration, and Managing MiNiFi instances. (Note: The specific weighting for MiNiFi is not provided in the source content). This guide, as described on QuickTechie.com, serves as an essential resource for Data Operators aiming to validate their expertise in
Apache Kafka Quick Start Guide
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Author : Raúl Estrada
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-27
Apache Kafka Quick Start Guide written by Raúl Estrada and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-27 with Computers categories.
Process large volumes of data in real-time while building high performance and robust data stream processing pipeline using the latest Apache Kafka 2.0 Key FeaturesSolve practical large data and processing challenges with KafkaTackle data processing challenges like late events, windowing, and watermarkingUnderstand real-time streaming applications processing using Schema registry, Kafka connect, Kafka streams, and KSQLBook Description Apache Kafka is a great open source platform for handling your real-time data pipeline to ensure high-speed filtering and pattern matching on the fly. In this book, you will learn how to use Apache Kafka for efficient processing of distributed applications and will get familiar with solving everyday problems in fast data and processing pipelines. This book focuses on programming rather than the configuration management of Kafka clusters or DevOps. It starts off with the installation and setting up the development environment, before quickly moving on to performing fundamental messaging operations such as validation and enrichment. Here you will learn about message composition with pure Kafka API and Kafka Streams. You will look into the transformation of messages in different formats, such asext, binary, XML, JSON, and AVRO. Next, you will learn how to expose the schemas contained in Kafka with the Schema Registry. You will then learn how to work with all relevant connectors with Kafka Connect. While working with Kafka Streams, you will perform various interesting operations on streams, such as windowing, joins, and aggregations. Finally, through KSQL, you will learn how to retrieve, insert, modify, and delete data streams, and how to manipulate watermarks and windows. What you will learnHow to validate data with KafkaAdd information to existing data flowsGenerate new information through message compositionPerform data validation and versioning with the Schema RegistryHow to perform message Serialization and DeserializationHow to perform message Serialization and DeserializationProcess data streams with Kafka StreamsUnderstand the duality between tables and streams with KSQLWho this book is for This book is for developers who want to quickly master the practical concepts behind Apache Kafka. The audience need not have come across Apache Kafka previously; however, a familiarity of Java or any JVM language will be helpful in understanding the code in this book.
Kafka The Definitive Guide
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Author : Gwen Shapira
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-11-05
Kafka The Definitive Guide written by Gwen Shapira and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-05 with Computers categories.
Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: Best practices for deploying and configuring Kafka Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems
Snowflake Snowpro Advanced Architect Ara C01 Certification Practice 300 Questions Answer
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Author : Rashmi Shah
language : en
Publisher: QuickTechie.com | A career growth machine
Release Date :
Snowflake Snowpro Advanced Architect Ara C01 Certification Practice 300 Questions Answer written by Rashmi Shah and has been published by QuickTechie.com | A career growth machine this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Architecting the Snowflake Data Cloud: A Comprehensive Guide to ADA-C01 Certification is the definitive and essential resource for seasoned data professionals aspiring to achieve the highly esteemed SnowPro® Advanced: Architect Certification (ARA-C01). This book is meticulously crafted for individuals with two or more years of hands-on experience as a Snowflake Architect in a production environment, possessing a strong background that includes coding experience beyond SQL, and proficiency in DevOps/DataOps design principles. Building upon the foundational expertise validated by the SnowPro Core Certification, this handbook elevates architectural design capabilities to an expert level. This comprehensive guide transcends mere administrative tasks, delving into the strategic and holistic design of advanced data solutions on the Snowflake Data Cloud. Readers will learn to architect complex, end-to-end data flows from diverse sources to consumption, ensuring they meet stringent business, security, and compliance requirements. The book provides in-depth knowledge on selecting the most appropriate Snowflake features and integrating third-party tools to optimize performance, as well as designing and deploying shared data sets through the Snowflake Marketplace and Data Exchange. It serves as an indispensable resource for anyone responsible for designing and deploying robust, scalable, and secure data architectures on Snowflake. Key Learning Objectives Addressed in this Book (Aligned with Certification): End-to-End Data Flow Design: Master the ability to design comprehensive data flows within the Snowflake Platform, encompassing data ingestion, transformation, and consumption across various use cases. Security and Compliance Architecture: Learn to design and deploy data architectures that rigorously adhere to business, security, and regulatory compliance requirements, leveraging Snowflake's advanced security features. Performance Optimization through Tool Selection: Develop expertise in selecting and integrating the most appropriate Snowflake features and third-party tools to optimize the performance and efficiency of your data architecture. Shared Data Set Design: Gain proficiency in designing and deploying shared data sets, understanding the intricacies of the Snowflake Marketplace and Data Exchange for secure and efficient data monetization and consumption. Scalability and Resilience: Architect solutions that are inherently scalable, resilient, and highly available to meet enterprise-grade demands. Who This Book Is For (The SnowPro Advanced: Architect Candidate): This book is specifically designed for: Senior Data Architects: Responsible for leading the design and implementation of data platforms and solutions on Snowflake. Cloud Architects: Designing comprehensive cloud data strategies that leverage Snowflake as a core component. Solutions Architects: Who provide technical leadership and guidance for Snowflake deployments in complex enterprise environments. Lead Data Engineers: Transitioning into architectural roles, seeking to deepen their understanding of holistic system design on Snowflake. Professionals aiming for the SnowPro® Advanced: Architect Certification (ARA-C01): This book serves as a definitive guide for in-depth preparation. Individuals with 2 or more years of hands-on experience with Snowflake as an Architect in a production environment. Those with coding experience outside of SQL (e.g., Python, Java, Scala) and DevOps/DataOps design experience will find this book particularly relevant. Exam Details and How This Book Prepares You: The book's structure and content are precisely mapped to the SnowPro® Advanced: Architect Certification (ARA-C01) exam, ensuring comprehensive and targeted preparation: Exam Version: ARA-C01 Total Number of Questions: 65. The book covers all relevant topics with conceptual explanations, architectural patterns, practical design considerations, and integrated examples/case studies. Question Types: Multiple Select, Multiple Choice, and Interactive questions are addressed through detailed architectural discussions and scenario-based learning. Time Limit: 115 minutes. The book emphasizes understanding the underlying architectural principles and strategic decision-making to enable efficient problem-solving under exam conditions. Languages: English (Content is solely in English, preparing for the English version of the exam). The exam is also available in Japanese. Registration Fee: $375 USD (India Registration Fee: $300 USD). This information is provided for candidate awareness. Passing Score: 750+ (Scaled Scoring from 0 - 1000). This guide aims to equip readers with the strategic and technical knowledge required to confidently achieve and exceed this score. Unscored Content: While exams may include unscored items, this book provides comprehensive coverage across all domains, ensuring preparation for the full scope of the exam. Prerequisites: Assumes SnowPro Core Certification, building directly on that foundational knowledge with advanced architectural principles. Delivery Options: Whether choosing Online Proctoring or Onsite Testing Centers, this book provides the theoretical depth and practical design considerations crucial for success. Comprehensive Exam Domain Breakdown (Content Covered): This book provides extensive coverage of the following domains, mirroring their weighting in the ARA-C01 exam: Accounts and Security (25%): Organizational Structures: Designing multi-account and multi-region Snowflake deployments. Advanced Security Architecture: Implementing enterprise-grade security, including network policies (private connectivity, AWS PrivateLink, Azure Private Link, GCP Private Service Connect), advanced authentication (SSO, OAuth, SCIM), and key management. Governance at Scale: Architecting solutions for data classification, tagging, object access control (row access policies, dynamic data masking), and compliance (GDPR, HIPAA, etc.). Cost Management & Resource Governance: Designing strategies for effective resource monitoring, credit optimization, and budgeting across complex architectures. Snowflake Architecture (30%): Cloud Agnostic Design: Architecting solutions that leverage Snowflake's multi-cloud capabilities. Storage Layer Optimization: Deep understanding of micro-partitions, clustering, and storage best practices for diverse data types and access patterns. Compute Layer Design: Architecting virtual warehouses for various workloads (ETL, BI, ML), understanding multi-cluster warehouses, and auto-scaling strategies. Cloud Services Layer: Optimizing the services layer for metadata management, query optimization, and transaction management. External Integrations: Designing architectures with external tables, external functions, and integration with external processing engines. Data Engineering (25%): End-to-End Pipeline Design: Architecting complete data pipelines from diverse sources (on-prem, SaaS, cloud storage, streaming) to consumption. Ingestion Strategies: Designing optimal ingestion patterns (batch, micro-batch, streaming with Snowpipe, Kafka Connect, Fivetran etc.) for various data volumes and velocity. Transformation Architectures: Designing complex ELT/ETL patterns within Snowflake using SQL, Snowpark, and stored procedures. Data Vault, Data Mesh, Data Lakehouse Patterns: Applying architectural patterns to Snowflake. Data Quality & Observability: Integrating data quality checks and monitoring solutions into the architecture. Performance Optimization (20%): Performance Monitoring & Diagnostics: Architecting for comprehensive performance monitoring using Snowflake's native tools and external solutions. Query Optimization Techniques at Scale: Advanced techniques for query performance (search optimization, materialized views, query rewrite). Cost vs. Performance Trade-offs: Making informed architectural decisions that balance performance, cost, and business requirements. Disaster Recovery & Business Continuity: Designing and implementing high-availability, disaster recovery, and data replication strategies (database replication, failover/failback) across regions and clouds. Scalability Design: Ensuring the architecture can scale horizontally and vertically to meet future data growth and workload demands. Key Features of This Book: Architectural Focus: Centered on design principles, decision-making, and trade-offs required for advanced Snowflake solutions. Scenario-Based Learning: Presents complex real-world architectural challenges and provides expert solutions and patterns. Holistic Approach: Integrates security, governance, performance, and disaster recovery into every aspect of architectural design. Best Practices and Design Patterns: Offers tried-and-tested architectural patterns and best practices for building robust and efficient Snowflake solutions. Tool Integration Guidance: Provides insights into selecting and integrating Snowflake features and relevant third-party tools to achieve architectural goals. Strategic Insights: Goes beyond technical details to understand the "why" behind architectural choices and their business impact. This book is an essential investment for any data architect committed to mastering the Snowflake Data Cloud and achieving the prestigious SnowPro® Advanced: Architect Certification, solidifying their role as a leader in designing the next generation of cloud-native data platforms.
Data Engineering For Machine Learning Pipelines
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Author : Pavan Kumar Narayanan
language : en
Publisher: Springer Nature
Release Date : 2024-09-27
Data Engineering For Machine Learning Pipelines written by Pavan Kumar Narayanan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-27 with Computers categories.
This book covers modern data engineering functions and important Python libraries, to help you develop state-of-the-art ML pipelines and integration code. The book begins by explaining data analytics and transformation, delving into the Pandas library, its capabilities, and nuances. It then explores emerging libraries such as Polars and CuDF, providing insights into GPU-based computing and cutting-edge data manipulation techniques. The text discusses the importance of data validation in engineering processes, introducing tools such as Great Expectations and Pandera to ensure data quality and reliability. The book delves into API design and development, with a specific focus on leveraging the power of FastAPI. It covers authentication, authorization, and real-world applications, enabling you to construct efficient and secure APIs using FastAPI. Also explored is concurrency in data engineering, examining Dask's capabilities from basic setup to crafting advanced machine learning pipelines. The book includes development and delivery of data engineering pipelines using leading cloud platforms such as AWS, Google Cloud, and Microsoft Azure. The concluding chapters concentrate on real-time and streaming data engineering pipelines, emphasizing Apache Kafka and workflow orchestration in data engineering. Workflow tools such as Airflow and Prefect are introduced to seamlessly manage and automate complex data workflows. What sets this book apart is its blend of theoretical knowledge and practical application, a structured path from basic to advanced concepts, and insights into using state-of-the-art tools. With this book, you gain access to cutting-edge techniques and insights that are reshaping the industry. This book is not just an educational tool. It is a career catalyst, and an investment in your future as a data engineering expert, poised to meet the challenges of today's data-driven world. What You Will Learn Elevate your data wrangling jobs by utilizing the power of both CPU and GPU computing, and learn to process data using Pandas 2.0, Polars, and CuDF at unprecedented speeds Design data validation pipelines, construct efficient data service APIs, develop real-time streaming pipelines and master the art of workflow orchestration to streamline your engineering projects Leverage concurrent programming to develop machine learning pipelines and get hands-on experience in development and deployment of machine learning pipelines across AWS, GCP, and Azure Who This Book Is For Data analysts, data engineers, data scientists, machine learning engineers, and MLOps specialists
Advanced Apache Kafka Engineering High Performance Streaming Applications
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Author : Peter Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-09
Advanced Apache Kafka Engineering High Performance Streaming Applications written by Peter Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Computers categories.
Unlock the powerful capabilities of Apache Kafka with "Advanced Apache Kafka: Engineering High-Performance Streaming Applications," the essential guide for developers, data architects, and operations engineers looking to master real-time data streaming. This comprehensive book offers a deep dive into every aspect of Apache Kafka, from the fundamentals of its architecture to advanced features and optimization techniques. Structured to foster a robust learning experience, the chapters methodically cover setting up Kafka, producing and consuming messages efficiently, stream processing, securing your Kafka cluster, and much more. Whether you're deploying Kafka in the cloud, optimizing performance, or integrating Kafka with other systems, this book provides the expert knowledge and practical insights needed for successful implementation. "Advanced Apache Kafka" is more than just a technical manual; it’s a toolkit designed to equip professionals with the skills to innovate and solve the challenges of processing vast streams of real-time data. With this book, you’ll gain the confidence to effectively build, optimize, and secure your streaming applications using Apache Kafka. Dive into the world of Kafka and transform the way you handle real-time data in your organization.
Kafka Connect
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Author : Mickael Maison
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-09-18
Kafka Connect written by Mickael Maison and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-18 with Computers categories.
Used by more than 80% of Fortune 100 companies, Apache Kafka has become the de facto event streaming platform. Kafka Connect is a key component of Kafka that lets you flow data between your existing systems and Kafka to process data in real time. With this practical guide, authors Mickael Maison and Kate Stanley show data engineers, site reliability engineers, and application developers how to build data pipelines between Kafka clusters and a variety of data sources and sinks. Kafka Connect allows you to quickly adopt Kafka by tapping into existing data and enabling many advanced use cases. No matter where you are in your event streaming journey, Kafka Connect is the ideal tool for building a modern data pipeline. Learn Kafka Connect's capabilities, main concepts, and terminology Design data and event streaming pipelines that use Kafka Connect Configure and operate Kafka Connect environments at scale Deploy secured and highly available Kafka Connect clusters Build sink and source connectors and single message transforms and converters