Big data has become the center of attention as companies are continuously generating heaps of data that need to be processed. As all of the collected data is not useful, some portions of it may be futile. Therefore, it becomes essential to filter and eliminate useless data. This is where data processing comes into the picture. The Hadoop… Read More »
With the continuous generation of large volumes of structured and unstructured data, there arose the need for robust frameworks that can process such data efficiently in less time. The two popular and widely used frameworks for processing big data are Apache Spark and Hadoop, and both these frameworks are the products of the Apache Software Foundation. While both… Read More »
In this article, we will discuss all the core concepts of Spark API; however, our focus is to use Spark for data science. The details about the big data framework provided in the article will be sufficient for you to understand performing data science with Spark. For data collection and storage, Spark has a very nice distributed mechanism… Read More »
