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Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets. Processing frameworks like Hadoop enable efficient dataanalysis across clusters. It is known for its high fault tolerance and scalability.
Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets. Processing frameworks like Hadoop enable efficient dataanalysis across clusters. It is known for its high fault tolerance and scalability.
At the core of Data Science lies the art of transforming raw data into actionable information that can guide strategic decisions. Role of Data Scientists Data Scientists are the architects of dataanalysis. They clean and preprocess the data to remove inconsistencies and ensure its quality.
Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business? Besides, there is a balance between the precision of traditional dataanalysis and the innovative potential of explainable artificial intelligence.
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