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Current technologies in data analytics include machine learning, artificial intelligence (AI), and big data platforms like Hadoop and Spark. Data visualization tools such as Tableau and Power BI help present insights clearly. Cloud-based services like AWS, Azure, and Google Cloud enable scalable storage and processing. SQL and NoSQL databases (e.g., MongoDB, MySQL) are used for data storage and retrieval. Python and R remain popular programming languages for data analysis, with libraries like Pandas, NumPy, and Scikit-learn. Additionally, data warehousing technologies like Redshift and Snowflake support efficient data integration and analysis.
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