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Answered on 28 Nov Learn Big Data +2 Cloud Computing Apache Spark

How is the big data course offered by Trendytech for Big Data and is the course good for career upskilling?

Sana Begum

My teaching experience 12 years

Trendytech's Big Data Masters Program is a very well-structured and extensive course that covers the end-to-end big data pipeline
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Answered on 20 Jul Learn Big Data +1 Hadoop

What is the scope of BIG DATA and Hadoop.?

Palvinder Singh

Secuneus Tech. | Best Cyber Security Ethical Hacking Online Training Bengaluru Hyderbad Delhi India

In 2018, the global Big Data and business analytics market stood at US$ 169 billion and by 2022, it is predicted to grow to US$ 274 billion. Moreover, a PwC report predicts that by 2020, there will be around 2.7 million job postings in Data Science and Analytics in the US alone. read more

In 2018, the global Big Data and business analytics market stood at US$ 169 billion and by 2022, it is predicted to grow to US$ 274 billion. Moreover, a PwC report predicts that by 2020, there will be around 2.7 million job postings in Data Science and Analytics in the US alone.

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Answered on 20 Jul Learn Big Data +1 Hadoop

What is Hadoop?

Palvinder Singh

Secuneus Tech. | Best Cyber Security Ethical Hacking Online Training Bengaluru Hyderbad Delhi India

Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data.
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Answered on 14 Sep Learn Big Data +1 Hadoop

How many nodes does a Hadoop cluster have?

Snelbizz

A common rule of thumb for determining the number of nodes in a Hadoop cluster is to have no more than 20 nodes per namenode. This means that if you have one namenode, you should aim for a cluster size of no more than 20 nodes. If you have two namenodes, you can have up to 40 nodes in the cluster
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Answered on 14 Sep Learn Big Data +1 Hadoop

Are Hadoop and Big Data the same?

Snelbizz

Hadoop is a kind of framework that can handle the huge volume of Big Data and process it, whereas Big Data is just a large volume of the Data which can be in unstructured and structured data.
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Answered on 14 Sep Learn Big Data +1 Hadoop

What will be the future scope of Hadoop in India?

Snelbizz

It has been estimated that the Hadoop scope in the future and the Big Data Analytics market will grow at a CAGR of 23.9% and touch 84140 million in 2028. It is expected to have Hadoop technology future markets like data science and data analytics to generate 11.5 million employment opportunities globally,... read more

It has been estimated that the Hadoop scope in the future and the Big Data Analytics market will grow at a CAGR of 23.9% and touch 84140 million in 2028. It is expected to have Hadoop technology future markets like data science and data analytics to generate 11.5 million employment opportunities globally, by 2026

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Answered on 14 Sep Learn Big Data +1 Hadoop

Is sqoop same as to distcp in Hadoop?

Snelbizz

Distcp is used to copy any type of files from Local filesystem to HDFS and Sqoop is used for transferring the data records between RDBMS and Hadoop eco- system service
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Answered on 14 Sep Learn Big Data +1 Hadoop

What happens if the number of reducers is 0 in Hadoop?

Snelbizz

If we set the number of Reducer to 0 (by setting job. setNumreduceTasks(0)), then no reducer will execute and no aggregation will take place. In such case, we will prefer “Map-only job” in Hadoop. In Map-Only job, the map does all task with its InputSplit and the reducer do no job
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Answered on 14 Sep Learn Big Data +1 Hadoop

Is it possible to recover a NameNode in Hadoop when it is down?

Snelbizz

To restore the NameNode from backup, follow these steps: Stop the Hadoop cluster using the “stop-all.sh” script. Copy the backup files to the NameNode machine. Start the NameNode using the “hadoop-daemon.sh start namenode” command.
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Answered on 14 Sep Learn Big Data +1 Hadoop

Which Hadoop layer is referred as Mapreduce?

Snelbizz

Hadoop MapReduce is the processing unit of Hadoop. In the MapReduce approach, the processing is done at the slave nodes, and the final result is sent to the master node. A data containing code is used to process the entire data.
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