Answer / Pooja Vishwakarma

Apache Spark has a wide range of applications across various industries. Some common use cases include real-time data streaming and processing, machine learning, graph processing, SQL querying (SQL on Hadoop), and ETL pipelines. Examples of popular applications are recommendation engines for e-commerce platforms, fraud detection in banking, social network analysis, and predictive maintenance in manufacturing.

Describe Spark SQL?

1 Answers  

---

How does one create RDDs in Spark?

1 Answers  

---

What is a spark shuffle?

1 Answers  

---

What is spark slang for?

1 Answers  

---

Describe join() operation. How is outer join supported?

1 Answers  

---

What do you understand by the parquet file?

1 Answers  

---

Explain the Parquet File format in Apache Spark. When is it the best to choose this?

1 Answers  

---

Explain the operation transformation and action in Apache Spark RDD?

1 Answers  

---

What are features of apache spark?

1 Answers  

---

Is bigger than spark driver maxresultsize?

1 Answers  

---

What is lineage graph in spark?

1 Answers  

---

Is spark a programming language?

1 Answers  

---