Mastering Kafka Streams and ksqlDB: Building Real-Time Data...

Main
Computers - Computer Science
Mastering Kafka Streams and ksqlDB:...

Mastering Kafka Streams and ksqlDB: Building Real-Time Data Systems by Example

Mitch Seymour

0 / 5.0

Bu kitabı nə dərəcədə bəyəndiniz?

Yüklənmiş faylın keyfiyyəti necədir?

Kitabın keyfiyyətini qiymətləndirə bilmək üçün onu yükləyin

Yüklənmiş faylların keyfiyyəti necədir?

Kateqoriyalar:

Computers - Computer Science

İl:

2021

Nəşr:

1

Nəşriyyat:

O'Reilly Media, Incorporated

Dil:

english

ISBN 10:

1492062499

ISBN 13:

9781492062493

Fayl:

EPUB, 4.99 MB

IPFS:

,

english, 2021

Onlayn oxumaq

formatına konvertasiya yerinə yetirilir

formatına konvertasiya baş tutmadı

Bəlkə Sizə maraqlıdır

Ronnie Mitra & Irakli Nadareishvili [Ronnie Mitra] — Microservices: Up and Running

Emil Koutanov — Effective Kafka: A Hands-On Guide to Building Robust and Scalable Event-Driven Applications with Code Examples in Java

明日科技 — Java从入门到精通（第5版）

Betsy Beyer, Chris Jones, Jennifer Petoff & Niall Richard Murphy — Site Reliability Engineering

Frank Buschmann, Kevlin Henney, Douglas C. Schmidt — Pattern Oriented Software Architecture: On Patterns and Pattern Languages

Vladik Khononov — Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy

Matt Fuller; Manfred Moser; Martin Traverso — Trino: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment

Eben Hewitt; Jeff Carpenter — Cassandra: The Definitive Guide: Distributed Data at Web Scale

Haishi Bai, Yaron Schneider — Learning Dapr: Building Distributed Cloud Native Applications

Mickael Maison & Kate Stanley — Kafka Connect

Mickael Maison, Kate Stanley — Kafka Connect: Build and Run Data Pipelines

Nico Loubser — Software Engineering for Absolute Beginners: Your Guide to Creating Software Products

Jay Kreps — I Heart Logs: Event Data, Stream Processing, and Data Integration

Alex Gorelik — The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science

Akidau, Tyler; Chernyak, Slava; Lax, Reuven — Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing.

Neha Narkhede, Gwen Shapira, Todd Palino — Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale

Sam Newman — Building Microservices, 2nd Edition (Early Release, Raw and Unedited)

Ben Stopford — Designing Event-Driven Systems

Neha Narkhede; Rajini Sivaram; Todd Palino; Gwen Shapira — Kafka: The Definitive Guide, 2nd Edition (Early Release)

Shapira, Gwen, Palino, Todd, Sivaram, Rajini, Petty, Krit — Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale

Jim Blandy, Jason Orendorff, Leonora Tindall — Programming Rust

Piethein Strengholt — Data Management at Scale: Best Practices for Enterprise Architecture

Marc Loy, Patrick Niemeyer, Daniel Leuck — Learning Java - An Introduction to Real-World Programming with Java

Lee Atchison — Architecting for Scale: How to Maintain High Availability and Manage Risk in the Cloud

Ruecker, Bernd — Practical Process Automation: Orchestration and Integration in Microservices and Cloud Native Architectures

Seymour, Mitch — Mastering Kafka Streams and ksqlDB: Building Real-Time Data Systems by Example

Evren Eryurek; Uri Gilad; Valliappa Lakshmanan; Anita Kibunguchy; Jessi Ashdown — Data Governance: The Definitive Guide

Sandeep Uttamchandani — The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight

Aileen Nielsen — Practical Fairness: Achieving Fair and Secure Data Models

James Urquhart — Flow Architectures: The Future of Streaming and Event-driven Integration

Matthew A. Titmus — Cloud Native Go

Mark Heckler — Spring Boot: Up and Running

Dean Wampler — Programming Scala: Scalability = Functional Programming + Objects, Third Edition

Chris Fregly & Antje Barth [Chris Fregly] — Data Science on AWS

Andrew King — Programming the Internet of Things

Mahmoud Parsian — Data Algorithms with Spark (Sixth Early Release)

Matt Butcher, Matt Farina, Josh Dolitsky — Learning Helm: Managing Apps on Kubernetes

Benjamin Muschko — Certified Kubernetes Application Developer (CKAD) Study Guide: In-Depth Guidance and Practice

Michael Elder, Jake Kitchener & Dr. Brad Topol — OpenShift in Production

James Densmore — Data Pipelines Pocket Reference: Moving and Processing Data for Analytics

Kasun Indrasiri — Design Patterns for Cloud Native Applications

George Heineman — Learning Algorithms: A Programmer’s Guide to Writing Better Code, First Edition

Açar ifadələr

Əlaqəli Kitab Siyahıları