What are the advantages of datasets in Apache Spark?

[DataFlair Team]

List the benefits of Dataset in Apache Spark?
Describe features of Dataset in Apache Spark.

[DataFlair Team]

There are lots of benefits using RDD(Resilient Distributed Dataset).
They are Fault-tolerant in nature.
Distributed storage and computation
Data caching in memory/disk for better performance
It performs Lazy evaluation: Better resource utilization, so overall better performance at the cluster level.
Multiple language support(Java, Scala, Python), even we can use two or more language in a project simultaneously.
Rich set of the library: So much simpler to perform a general operation (like grouping, average, map, reduce, filter etc).The developer has to write very fewer lines of code.
The concept of DataFrame: SQL experts can use the data for analysis purpose.
Dataset immutability
Dataset/DataFrame shows error at runtime while Spark SQL queries shows error on run time only
Catalyst optimizer: It generates optimized logical and physical plan.

Upgrade your knowledge of RDD with the help of this link: Spark RDD – Introduction, Features & Operations of RDD

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