In this article, we'll read a sample data set with Spark on HDFS (Hadoop File System), do a simple analytical operation, then write to a table that we'll make in Hive.
In this post, we take a look at the three main kinds of database migration tools (on-premise, open source, and cloud-based) and the situation in which each is best.
We walk you through how to provide a robust system that is fault-tolerant against hardware failures and human mistakes using the Lambda architecture approach.
In this article, we will see how we can use this amazing cloud-based platform and use a Random Forest model to predict customer churn in less than 200 lines of code.
