Answer / Dharmandra Datt Yadav

Hadoop, HBase, Hive, and Cassandra are all open-source big data technologies, but they have different focuses and use cases. Hadoop MapReduce is a framework for processing large datasets by dividing the work into smaller chunks, running them in parallel on different nodes, and then combining the results. HBase is a NoSQL database built on top of Hadoop that stores structured data and provides real-time read/write access to big data. Hive is a data warehousing system that provides SQL-like querying capabilities over large datasets stored in Hadoop. Cassandra, as mentioned earlier, is another NoSQL database designed for high scalability and availability.

What is column store db? Explain with an example.

1 Answers  

---

Explain cassandra data model?

1 Answers  

---

When to use Cassandra?

1 Answers  

---

What is SSTable?

1 Answers  

---

What is data replication in Cassandra?

1 Answers  

---

How to write a query in Cassandra?

1 Answers  

---

Tunable consistency is supported by Cassandra. Explain.

1 Answers  

---

What are the different types of partitioners in cassandra?

1 Answers  

---

Explain the memtable in cassandra?

1 Answers  

---

Define memtable?

1 Answers  

---

There seem to be certain management tools in Cassandra. What are they?

1 Answers  

---

What is the Virtual Node in Cassandra ?

1 Answers  

---