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 do you mean by “data centre” in cassandra?

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Differentiate between static and dynamic cql tables.

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What are the different CQL data definition commands in Cassandra?

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What is the Internal Architecture of the Cassandra Database ?

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What is jmx? And how is it useful in cassandra?

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What is the syntax to create keyspace in Cassandra?

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What happens to existing data in my cluster when I add new nodes?

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What is Cassandra Data Modelling ?

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what is a cluster in cassandra?

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What ports does Cassandra use?

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What do you mean by ss table and explain how it is different from the other original tables?

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What are keywords?

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