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  • What are the current technologies used in data analytics?

    pallavi chauhan
    2 replies

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    shivanshi singh
    Current Technologies in Data Analytics Big Data Technologies: Tools like Hadoop and Apache Spark for processing large datasets. Data Visualization: Software such as Tableau and Power BI for creating visual insights. Machine Learning: Frameworks like TensorFlow and Scikit-learn for predictive modeling. Cloud Analytics: Platforms like AWS and Google Cloud for scalable data solutions. Database Management: SQL (e.g., MySQL) and NoSQL (e.g., MongoDB) systems for data storage. Data Integration: Tools like Apache NiFi for ETL processes. Business Intelligence: Tools like Qlik and Domo for data analysis and visualization. Artificial Intelligence: Enhances analytics with automation and deeper insights. For more insights into these technologies, visit here: https://uncodemy.com/course/data...
    Joshua Daniel Scott
    Definitely using a mix of tools! Hadoop and Spark are my go-tos for big data processing. Can't live without Tableau for those slick visualizations. Recently been playing with TensorFlow for some ML models. And of course, everything's running in the cloud on AWS for that scale. MongoDB has been clutch for the unstructured stuff. Eyeing some AI platforms to level up the automation and insights. Always exploring what's new out there to stay ahead of the data game!
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