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4 Patterns to Jumpstart your Event-Driven Architecture Journey
⏲ 26 min 10 sec ✓ 09-Oct-2023
Kafka Tutorial | Learn Kafka | Intellipaat
⏲ 1 hour 51 minutes 30 seconds 👁 71.3K
Apache KAFKA Tutorial | KAFKA Crash Course | Spring Boot
⏲ 56 minutes 49 seconds 👁 29.6K
Azure Data Engineer Career job
⏲ 17 min 98 sec ✓ 10-May-2024
Event-Driven Architectures Done Right, Apache Kafka • Tim Berglund • Devoxx Poland 2021
⏲ 50 minutes 53 seconds 👁 91.9K
Kafka vs. RabbitMQ - who wins and why? | Systems Design Interview 0 to 1 with Ex-Google SWE
⏲ 11 minutes 36 seconds 👁 14.3K
Datalake Rock Paper Scissors: Iceberg + Flink or Iceberg + Spark?
⏲ 21 min 68 sec ✓ 09-Oct-2023
Kafka Tutorial - Spring Boot Microservices
⏲ 51 minutes 29 seconds 👁 198.5K
Apache Kafka Tutorial with Spring Boot Reactive & WebFlux | Kafka Tutorial
⏲ 1 hour 37 minutes 44 seconds 👁 13.9K
Apache Kafka Tutorial | What is Apache Kafka? | Kafka Tutorial for Beginners | Edureka
⏲ 39 minutes 5 seconds 👁 259.1K
System Design: Why is Kafka so Popular?
⏲ 4 minutes 20 seconds 👁 34.1K
What Is Apache Spark?
⏲ 2 minutes 39 seconds 👁 63.1K
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_4-patterns-to-jumpstart-your-event-driven-architecture-journey.webp "The shift from monolithic applications to microservices is anything but easy. Since services usually don't operate in isolation, it's vital to implement proper communication models among them. A crucial aspect in this regard is to avoid tight coupling and numerous point-to-point connections between any two services. One effective approach is to build upon messaging infrastructure as a decoupling element and employ an event-driven application architecture.n nDuring this session, we explore se")
_kafka-tutorial-124-learn-kafka-124-intellipaat.webp "Intellipaat")
_apache-kafka-tutorial-124-kafka-crash-course-124-spring-boot.webp "Daily Code Buffer")
_azure-data-engineer-career-job.webp "Becoming an Azure Data Engineer involves a combination of technical skills, experience, and knowledge. Here are some prerequisites you should consider:nn1. **Understanding of Data Concepts**: A strong foundation in data concepts such as relational and non-relational databases, data modeling, data warehousing, data lakes, ETL (Extract, Transform, Load) processes, and data governance is essential.nn2. **Programming Skills**: Proficiency in programming languages commonly used in data engineering su")
_event-driven-architectures-done-right-apache-kafka-tim-berglund-devoxx-poland-2021.webp "Devoxx Poland")
_kafka-vs-rabbitmq-who-wins-and-why-124-systems-design-interview-0-to-1-with-ex-google-swe.webp "Jordan has no life")
_datalake-rock-paper-scissors-iceberg-flink-or-iceberg-spark.webp "Do you have existing data pipelines for real-time data and want to add storage into the mix? Are you planning to use Apache Iceberg tables for storage, but are unsure whether to choose Apache Flink or Apache Spark to ingest the data from your Apache Kafka topics? While you have choices, how do you assess which technology is the right one for your use case?n nAt Bloomberg, Kafka and Iceberg are core elements in our real-time data pipelines and storage sinks. In this session, we'll share our e")
_kafka-tutorial-spring-boot-microservices.webp "Amigoscode")
_apache-kafka-tutorial-with-spring-boot-reactive-amp-webflux-124-kafka-tutorial.webp "Bouali Ali")
_apache-kafka-tutorial-124-what-is-apache-kafka-124-kafka-tutorial-for-beginners-124-edureka.webp "edureka!")
_system-design-why-is-kafka-so-popular.webp "ByteByteGo")
_what-is-apache-spark.webp "IBM Technology")
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