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Python is the best starting language for Big Data Analytics because it supports data processing, automation, machine learning, and libraries like Pandas and PySpark. However, SQL is essential for querying data, while Scala is useful for high-performance Apache Spark applications and Java for big-data ecosystem development.

Recommended path: Python + SQL → PySpark → Hadoop/Spark concepts → cloud platforms. Practical, project-based training like AchieversIT can help you apply these skills to real-world analytics projects.

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