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Nouman Shoukat
Integration | Fintech | Agile Delivery | eCommerce
Nouman Shoukat is a seasoned Technology Strategist with over 12 years of experience in Product Development and Management within the IT and software industry. His expertise lies in Web and mobile Software Development across various sectors including HR, Banking, Government, Utility, Advertising, and Education. Specializing in areas such as Hybrid Mobile Application Development, SaaS business model, Enterprise Software Development Management, Software Engineering, and Implementation, Nouman has a proven track record in Building Software Development Teams, Creating measurable workflow and process design, Resource and Budget Forecasting, as well as Code Implementation in languages like Java, PHP, C++, C#, .NET, and JavaScript. He is well-versed in Coding Frameworks like Struts, Spring, Hibernate, and Mobile technologies.
Highlights
The Ultimate Kafka 101 You Cannot Miss
Here are 8 simple steps that can help you understand the fundamentals of Kafka.
1 - What is Kafka? Kafka is a distributed event store and a streaming platform. It began as an internal project at LinkedIn and now powers some of the largest data pipelines in the world in orgs like Netflix, Uber, etc.
2 - Kafka Messages Message is the basic unit of data in Kafka. It’s like a record in a table consisting of headers, key, and value.
3 - Kafka Topics and Partitions Every message goes to a particular Topic. Think of the topic as a folder on your computer. Topics also have multiple partitions.
4 - Advantages of Kafka Kafka can handle multiple producers and consumers, while providing disk-based data retention and high scalability.
5 - Kafka Producer Producers in Kafka create new messages, batch them, and send them to a Kafka topic. They also take care of balancing messages across different partitions.
6 - Kafka Consumer Kafka consumers work together as a consumer group to read messages from the broker.
7 - Kafka Cluster A Kafka cluster consists of several brokers where each partition is replicated across multiple brokers to ensure high availability and redundancy.
8 - Use Cases of Kafka Kafka can be used for log analysis, data streaming, change data capture, and system monitoring.
Today I earned my "AZ-204: Developing Solutions for Microsoft Azure"
