Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...
Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...
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ICT Insight with Institute of ICT Professionals: Tools needed to master to become a data professional
This article discusses key tools needed to master, in order to penetrate the data space. Such tools include SQL and NoSQL databases, Apache Airflow, Azure Data Factory, AWS S3, Google Cloud Storage, ...
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