Answer / Sureena Yadav

There are two main types of transformations in Apache Spark RDD operations: Transformations that create a new dataset without affecting the original data (e.g., map, filter, flatMap) and Actions that return a value to the driver program after computing on the data (e.g., count, collect, saveAsTextFile).

Define RDD?

1 Answers  

---

How do I change hive execution engine to spark?

1 Answers  

---

What is an "Accumulator"?

1 Answers  

---

Explain about the major libraries that constitute the Spark Ecosystem?

1 Answers  

---

What are the common transformations in apache spark?

1 Answers  

---

How do I check my spark status?

1 Answers  

---

Is it necessary to learn hadoop for spark?

1 Answers  

---

Is it necessary to start Hadoop to run any Apache Spark Application ?

1 Answers  

---

What is mlib in apache spark?

1 Answers  

---

What is a reliable and unreliable receiver in Spark?

1 Answers  

---

What is difference between hive and spark?

1 Answers  

---

What exactly is spark?

1 Answers  

---