Introduction to Apache Spark

Apache Spark is a highly versatile and efficient platform for processing big data. Apache Spark has grown in popularity over the past several years because of its open-source nature, which is used for processing large-scale data on compute clusters in a distributed manner. It provides a unified engine for processing data of all types, including batch, streaming, SQL analytics, data science, and machine learning. One of the key advantages of Apache Spark over other big data platforms is its support for multiple programming languages, including Python, SQL, Scala, Java, and R, which allows for greater flexibility in building and executing data processing pipelines.