About
Apache Kafka has become the leading distributed data streaming enterprise big data technology. Kafka is used in production by over 33% of the Fortune 500 companies such as Netflix, Airbnb, Uber, Walmart and LinkedIn. So we are talking about Event streaming that is applied to wide variety of uses cases a cross a plethora of industries and organizations. Its many examples include: - To process payments and financial transactions in real-time, such as in stock exchanges, banks, and insurances. - To track and monitor cars, trucks, fleets, and shipments in real-time, such as in logistics and the automotive industry. - To continuously capture and analyze sensor data from IoT devices or other equipment, such as in factories and wind parks. - To collect and immediately react to customer interactions and orders, such as in retail, the hotel and travel industry, and mobile applications. - To monitor patients in hospital care and predict changes in condition to ensure timely treatment in emergencies. - To connect, store, and make available data produced by different divisions of a company. - To serve as the foundation for data platforms, event-driven architectures, and micro services. In this course we will go through all kafka topics that needed to build your event streaming application.