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Becoming a real-time enterprise Businesses often go on a journey that traverses several stages of maturity when they establish an EDA. They often use ApacheKafka as an open technology and the de facto standard for accessing events from a various core systems and applications.
Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA). Real-time Data Stream Analysis: Use Python with libraries like ApacheKafka and Apache Spark to process and analyze real-time data streams from sources like Twitter, sensors, or website logs.
Event-driven architecture (EDA) has become more crucial for organizations that want to strengthen their competitive advantage through real-time data processing and responsiveness. In recognizing the benefits of event-driven architectures, many companies have turned to ApacheKafka for their event streaming needs.
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