Spark, Distributed Systems, Machine Learning, Hadoop, Scalability.
were popular for compute heavy tasks, based on which TensorFlow was designed later. b) Data-heavy: Relational algebra based databases were designed in 1970s, when hard disk storage was very expensive. Hence, the design was aimed to reduce data redundancy, by dividing larger tables into smaller