Apache Spark is a popular open-source data processing framework. This widely-known big data platform provides several exciting features, such as graph processing, real-time processing, in-memory processing, batch processing and more quickly and easily.
With the expansion of data generation, organisations have started utilising these vast amounts of data to gain meaningful insights. Big data tools like Apache Spark helps in making sense of the data effectively.
Choosing a language while performing a complete data processing can be a hurdle if you do not know its specifications and how it functions. Further data processing processes such as collection, preparation, processing, interpretation and more can make it daunting. Two of the most popular languages that developers prefer a
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Ambika Choudhury
A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.
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