Kafka Connect E Kafka Streams

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Kafka Connect E Kafka Streams

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Author : Rodrigo Vieira Pinto
language : pt-BR
Publisher: Casa do Código
Release Date : 2024-05-21

Kafka Connect E Kafka Streams 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 2024-05-21 with Computers categories.

Kafka vem se mostrando uma solução muito interessante quando o assunto é comunicação assíncrona entre microsserviços. No entanto, a criação de produtores de mensagens pode ser uma tarefa ardilosa. Por vezes, é necessário persistir registros em banco e enviar mensagens a um broker Kafka em uma operação atômica. Há também a dificuldade de integrarmos aplicações legadas, sejam elas produtoras ou consumidoras de mensagens, visto que elas podem ter sido construídas em tecnologias que não suportam a comunicação com o Kafka. Neste livro, Rodrigo Vieira Pinto traz o Kafka Connect como a solução para os problemas acima. Você vai aprender como integrar diferentes aplicações ao Kafka usando os conectores do Kafka Connect. Também utilizará diversos Single Message Transformations (SMTs) que permitem realizar transformações nas mensagens antes que elas cheguem aos tópicos, fazendo com que os consumidores sejam mais simples de se implementar. Seu aprendizado avançará com exemplos de processamento de mensagens usando o Kafka Streams, que nos oferece um olhar mais próximo de um banco de dados. Tudo isso com garantias de qualidade, por meio da escrita de testes automatizados.

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).

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

Kafka Streams In Action

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Author : Bill Bejeck
language : en
Publisher: Simon and Schuster
Release Date : 2018-08-29

Kafka Streams In Action 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 2018-08-29 with Computers categories.

Summary Kafka Streams in Action teaches you everything you need to know to implement stream processing on data flowing into your Kafka platform, allowing you to focus on getting more from your data without sacrificing time or effort. Foreword by Neha Narkhede, Cocreator of Apache Kafka Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Not all stream-based applications require a dedicated processing cluster. The lightweight Kafka Streams library provides exactly the power and simplicity you need for message handling in microservices and real-time event processing. With the Kafka Streams API, you filter and transform data streams with just Kafka and your application. About the Book Kafka Streams in Action teaches you to implement stream processing within the Kafka platform. In this easy-to-follow book, you'll explore real-world examples to collect, transform, and aggregate data, work with multiple processors, and handle real-time events. You'll even dive into streaming SQL with KSQL! Practical to the very end, it finishes with testing and operational aspects, such as monitoring and debugging. What's inside Using the KStreams API Filtering, transforming, and splitting data Working with the Processor API Integrating with external systems About the Reader Assumes some experience with distributed systems. No knowledge of Kafka or streaming applications required. About the Author Bill Bejeck is a Kafka Streams contributor and Confluent engineer with over 15 years of software development experience. Table of Contents PART 1 - GETTING STARTED WITH KAFKA STREAMS Welcome to Kafka Streams Kafka quicklyPART 2 - KAFKA STREAMS DEVELOPMENT Developing Kafka Streams Streams and state The KTable API The Processor APIPART 3 - ADMINISTERING KAFKA STREAMS Monitoring and performance Testing a Kafka Streams applicationPART 4 - ADVANCED CONCEPTS WITH KAFKA STREAMS Advanced applications with Kafka StreamsAPPENDIXES Appendix A - Additional configuration information Appendix B - Exactly once semantics

Kafka In Action

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Author : Dylan Scott
language : en
Publisher: Simon and Schuster
Release Date : 2022-02-15

Kafka In Action written by Dylan Scott 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 2022-02-15 with Computers categories.

Master the wicked-fast Apache Kafka streaming platform through hands-on examples and real-world projects. In Kafka in Action you will learn: Understanding Apache Kafka concepts Setting up and executing basic ETL tasks using Kafka Connect Using Kafka as part of a large data project team Performing administrative tasks Producing and consuming event streams Working with Kafka from Java applications Implementing Kafka as a message queue Kafka in Action is a fast-paced introduction to every aspect of working with Apache Kafka. Starting with an overview of Kafka's core concepts, you'll immediately learn how to set up and execute basic data movement tasks and how to produce and consume streams of events. Advancing quickly, you’ll soon be ready to use Kafka in your day-to-day workflow, and start digging into even more advanced Kafka topics. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Think of Apache Kafka as a high performance software bus that facilitates event streaming, logging, analytics, and other data pipeline tasks. With Kafka, you can easily build features like operational data monitoring and large-scale event processing into both large and small-scale applications. About the book Kafka in Action introduces the core features of Kafka, along with relevant examples of how to use it in real applications. In it, you’ll explore the most common use cases such as logging and managing streaming data. When you’re done, you’ll be ready to handle both basic developer- and admin-based tasks in a Kafka-focused team. What's inside Kafka as an event streaming platform Kafka producers and consumers from Java applications Kafka as part of a large data project About the reader For intermediate Java developers or data engineers. No prior knowledge of Kafka required. About the author Dylan Scott is a software developer in the insurance industry. Viktor Gamov is a Kafka-focused developer advocate. At Confluent, Dave Klein helps developers, teams, and enterprises harness the power of event streaming with Apache Kafka. Table of Contents PART 1 GETTING STARTED 1 Introduction to Kafka 2 Getting to know Kafka PART 2 APPLYING KAFK 3 Designing a Kafka project 4 Producers: Sourcing data 5 Consumers: Unlocking data 6 Brokers 7 Topics and partitions 8 Kafka storage 9 Management: Tools and logging PART 3 GOING FURTHER 10 Protecting Kafka 11 Schema registry 12 Stream processing with Kafka Streams and ksqlDB

Cloudera Cdp Machine Learning Engineer Exam Cdp 6001 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 Machine Learning Engineer Exam Cdp 6001 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.

About the Book This guide provides comprehensive information for individuals preparing for the CDP Machine Learning Engineer Exam (CDP-6001). It is designed to detail the skills and knowledge required to successfully pass this certification. Audience The exam, and thus this guide, is intended for Machine Learning Engineer professionals. It covers the proficiency needed in designing, developing machine learning models using MLOps and Cloudera Machine Learning. A strong understanding of data modeling, data science concepts, deploying and tuning models is essential. Expertise in Spark, Spark MLLib, algorithms, and general machine learning is also required. Exam Details The CDP Machine Learning Engineer Exam has the following specifications: Exam Number: CDP-6001 Number of questions: 45 Duration: 90 minutes Pass Score: 60% Delivery: online, proctored. Candidates must review system requirements for online proctoring via QuestionMark. Allowed resources: None. Reference materials, white papers, user guides, or any other resources are strictly prohibited during the exam. Support: For assistance, candidates should email the provided support contact. Cloudera Skills & Knowledge Measured The exam measures skills and knowledge across several key areas, with specific weightings: Cloudera Machine Learning (31% of exam): Covers Workspaces, Projects, Experiments, Accelerators for ML Projects, Data Visualizations, Runtimes, and GPUs. Spark (18% of exam): Focuses on DataFrames, File Types, and Window Functions. Spark MLLib (22% of exam): Includes Model Selection and Tuning, Fitting and Evaluating Models, and Pipelines. Deploying a Machine Learning Model (18% of exam): Addresses Applications/API, Autoscaling and Performance, Model Metrics and Monitoring, and ML Flow. Deep Learning and General Machine Learning (11% of exam): Encompasses General Machine Learning concepts, Supervised and unsupervised learning techniques, and Algorithms.

Mastering Kafka Streams And Ksqldb

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Author : Mitch Seymour
language : en
Publisher: O'Reilly Media
Release Date : 2021-02-04

Mastering Kafka Streams And Ksqldb written by Mitch Seymour and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-04 with Computers categories.

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

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

Building Distributed Systems

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Author : Ranjit Aneesh
language : en
Publisher: BPB Publications
Release Date : 2025-04-28

Building Distributed Systems written by Ranjit Aneesh and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Computers categories.

DESCRIPTION In today's digital landscape, distributed systems are the backbone of scalable and reliable applications, powering everything from e-commerce giants to real-time streaming services. This book, Building Distributed Systems, provides a practical and accessible guide to understanding and constructing these complex architectures, bridging the gap between foundational theory and real-world application. In this book, we will dive into the fundamentals of distributed systems, understand how computing evolved and what are some critical aspects of these systems that software architects and engineers must always be aware of to help them make design and implementation decisions. Furthermore, we will learn to make tradeoff decisions grounded on key objectives that our systems should focus on versus what may not be so important for each specific use case. By the end of this book, you will possess a strong understanding of distributed systems and be equipped to design, build, and deploy scalable and reliable applications. You will gain practical insights into modern architectures, enabling you to confidently tackle the challenges of building and maintaining distributed systems in any environment. WHAT YOU WILL LEARN ● Architect microservices, implement caching, and deploy resilient distributed systems. ● Master event-driven patterns, traffic routing, and cloud platform selection. ● Design for consistency, availability, and implement robust data strategies. ● Optimize performance via CI/CD, load balancing, and advanced caching. ● Engineer fault-tolerant systems using CQRS, circuit breakers, and cloud services. ● Navigate CAP theorem trade-offs and build observable distributed architectures. ● Deploy with feature flags, Kubernetes, and ensure operational readiness. ● Build scalable systems, manage data, and optimize cloud infrastructure. WHO THIS BOOK IS FOR This book is for software engineers, architects, and computer science students eager to build scalable internet systems. A basic understanding of software design principles is beneficial for those seeking practical, real-world implementations. TABLE OF CONTENTS 1. Distributed Systems Fundamentals 2. Monoliths and Microservices 3. Architecture of Distributed Systems 4. Consistency and Availability 5. Design for Speed and Efficiency 6. Event-driven Systems 7. Traffic Routing Strategies 8. Building Resilient Systems 9. Data Storage Strategies 10. Observability and Operational Readiness 11. Distributed Caching 12. Choosing Platform and Technologies 13. Deployment Strategies and Production Readiness

Kafka Streams In Action Second Edition

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Author : Bill Bejeck
language : en
Publisher: Simon and Schuster
Release Date : 2024-06-11

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 2024-06-11 with Computers categories.

Everything you need to implement stream processing on Apache Kafka using Kafka Streams and the kqsIDB event streaming database. Kafka Streams in Action, Second Edition guides you through setting up and maintaining your streaming processing with Kafka. Inside, you’ll find comprehensive coverage of not only Kafka Streams, but the entire toolbox you’ll need for effective streaming—from the components of the Kafka ecosystem, to Producer and Consumer clients, Connect, and Schema Registry. In Kafka Streams in Action, Second Edition you’ll learn how to: Design streaming applications in Kafka Streams with the KStream and the Processor API Integrate external systems with Kafka Connect Enforce data compatibility with Schema Registry Build applications that respond immediately to events in either Kafka Streams or ksqlDB Craft materialized views over streams with ksqlDB This totally revised new edition of Kafka Streams in Action has been expanded to cover more of the Kafka platform used for building event-based applications. You’ll also find full coverage of ksqlDB, an event streaming database that makes it a snap to create applications that respond immediately to events, such as real-time push and pull updates. Foreword by Jun Rao. About the technology Enterprise applications need to handle thousands—even millions—of data events every day. With an intuitive API and flawless reliability, the lightweight Kafka Streams library has earned a spot at the center of these systems. Kafka Streams provides exactly the power and simplicity you need to manage real-time event processing or microservices messaging. About the book 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. What's inside Design efficient streaming applications Integrate external systems with Kafka Connect Enforce data compatibility with Schema Registry About the reader For Java developers. No knowledge of Kafka or streaming applications required. About the author Bill Bejeck is a Confluent engineer and a Kafka Streams contributor with over 15 years of software development experience. Bill is also a committer on the Apache Kafka? project. Table of Contents PART 1 1 Welcome to the Kafka event streaming platform 2 Kafka brokers PART 2 3 Schema Registry 4 Kafka clients 5 Kafka ConnectPART 3 6 Developing Kafka Streams 7 Streams and state 8 The KTable API 9 Windowing and timestamps 10 The Processor API 11 ksqlDB 12 Spring kafka 13 Kafka Streams Interactive Queries 14 Testing