Answer / Shipra Mehrotra

Apache is an open-source software foundation, while Hadoop is a popular project under the Apache umbrella. Hadoop primarily consists of two main parts: HDFS (Hadoop Distributed File System) for data storage and MapReduce for data processing. Apache offers a wide range of projects beyond just Hadoop, such as Apache Spark for faster data processing and Apache Cassandra for NoSQL databases.

Have you ever used Counters in Hadoop. Give us an example scenario?

1 Answers  

---

What is the difference between rdbms and hadoop?

1 Answers  

---

Explain the use of .mecia class?

1 Answers  

---

What happens to a namenode, when job tracker is down?

1 Answers  

---

What are the important differences between apache and hadoop?

1 Answers  

---

What mechanism does hadoop framework provides to synchronize changes made in distribution cache during runtime of the application?

1 Answers  

---

what is meaning Replication factor?

1 Answers  

---

Suppose Hadoop spawned 100 tasks for a job and one of the task failed. What will Hadoop do?

1 Answers  

---

What is your favourite tool in the hadoop ecosystem?

1 Answers  

---

What is Hadoop streaming?

1 Answers  

---

Mention what is the number of default partitioner in Hadoop?

1 Answers  

---

Which are the two types of 'writes' in HDFS?

1 Answers  

---