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The Big Data era marked a pivotal point in data management. Companies and developers moved away from proprietary storage solutions, embracing open source platforms that promoted data sharing and interoperability. This shift was driven by the need to handle large volumes, high velocities, and variety of data types, which traditional systems struggled to process efficiently.
Open source players like Hadoop, Apache Spark, and others gained prominence, enabling organizations to process and analyze massive datasets more flexibly. This democratization of data infrastructure fostered innovation and lowered costs, making advanced data analytics accessible to a broader range of users.