Answer / Mayank Agarwal

Apache Spark offers several advantages over MapReduce:n1. Speed: Spark's in-memory computation is significantly faster than MapReduce.n2. Flexibility: Spark supports both batch and streaming data, while MapReduce is primarily a batch processing system.n3. Ease of use: Spark provides APIs for various languages like Java, Scala, Python, etc., which makes it more accessible to developers.n4. Real-time analytics: Spark can process data in real-time and provide near real-time results, while MapReduce is better suited for batch processing.

Explain Accumulator in Spark?

1 Answers  

---

Explain various level of persistence in Apache Spark?

1 Answers  

---

What is Spark MLlib?

1 Answers  

---

Apache Spark is a good fit for which type of machine learning techniques?

1 Answers  

---

Define Spark-SQL?

1 Answers  

---

Why spark is used?

1 Answers  

---

What is pipelined rdd?

1 Answers  

---

What are the various storages from which Spark can read data?

1 Answers  

---

Define the common faults of the developer while using apache spark?

1 Answers  

---

Explain how RDDs work with Scala in Spark

0 Answers   Capital One,

---

How do we represent data in Spark?

1 Answers  

---

What is the use of dataframe in spark?

1 Answers  

---