Answer / Chhatrpal Singh

"Hadoop is an open-source framework for distributed storage and processing of large datasets. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The main components of a Hadoop application are: 1) HDFS (Hadoop Distributed File System) - a distributed file system that provides high-throughput access to application data. 2) MapReduce - a programming model for processing large datasets in parallel across the nodes in the cluster. 3) YARN (Yet Another Resource Negotiator) - manages the resources of the Hadoop clusters, scheduling jobs and managing MapReduce tasks."n

Explain the core methods of the reducer?

1 Answers  

---

Can you explain sequence file in hadoop?

1 Answers  

---

Are job tracker and task trackers present in separate machines?

1 Answers  

---

What is the non dfs used?

1 Answers  

---

Give examples of some companies that are using Hadoop structure?

1 Answers  

---

Who are ‘Data Scientists’?

1 Answers  

---

What is meant by streaming access?

1 Answers  

---

Is it possible to rename the output file, and if so, how?

1 Answers  

---

Explain map-only job?

1 Answers  

---

What are the Features of Hadoop?

1 Answers  

---

What is streaming access?

1 Answers  

---

What is active and passive NameNode in Hadoop?

1 Answers  

---