در حال حاضر محصولی در سبد خرید شما وجود ندارد.

Looking to take your skills to the next level with Apache Kafka? If you’re an experienced Kafka user, you probably already know that the performance of your Kafka environment is affected by many factors. But how do you tune them? In this course, instructor Janani Ravi shows you how to fine-tune Kafka using the Kafka optimization theorem and other powerful tuning tools.
Get an introduction to Kafka tuning, how it affects producers and consumers, and how to set up Kafka on your machine so you can start publishing messages. Explore the basics of tuning Kafka producers such as running a cluster with multiple brokers, running performance tests, partitioning, replication, compression, batch size, and more. Discover the essentials of tuning Kafka consumers with basic performance tests, fetch bytes and wait time, session timeout, max poll intervals and records, end-to-end latency, and throughput. By the end of this course, you’ll also be prepared to run performance tests using Python.
This course was created by Loonycorn. We are pleased to host this content in our library.
در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

Building Features from Numeric Data

کورس یادگیری Kubernetes: GitOps with ArgoCD

بهینه سازی Apache Spark بر روی Azure Databricks

آموزش مصور سازی داده های آماری با Seaborn

آموزش ساخت چارت و مصور سازی داده ها بوسیله Qlik Sense

Deploying Containerized Workloads Using Google Cloud Kubernetes Engine

آموزش دسته بندی عکس ها بوسیله PyTorch

Expediting Deep Learning with Transfer Learning: PyTorch Playbook

فیلم یادگیری Deploying PyTorch Models in Production: PyTorch Playbook

Implementing Machine Learning Workflow with Weka
✨ تا ۷۰% تخفیف با شارژ کیف پول 🎁
مشاهده پلن ها