Answer / Anand Kumar Jha

Apache Spark generally performs operations faster than Hadoop MapReduce, mainly due to its in-memory data processing and ease of use. However, the exact speedup depends on various factors like dataset size, number of cores, and specific use case.

Does spark load all data in memory?

1 Answers  

---

What is sc parallelize?

1 Answers  

---

How Spark handles monitoring and logging in Standalone mode?

1 Answers  

---

Which language is not supported by spark?

1 Answers  

---

Does spark replace hadoop?

1 Answers  

---

What is off heap memory in spark?

1 Answers  

---

Where does Spark Driver run on Yarn?

1 Answers  

---

Why is transformation lazy operation in Apache Spark RDD? How is it useful?

1 Answers  

---

What file systems Spark support?

1 Answers  

---

What does it mean by Columnar Storage Format?

1 Answers  

---

What are the advantages of DataFrame?

1 Answers  

---

Explain Machine Learning library in Spark?

1 Answers  

---