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Nuvepro

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The world is Big Data now and big data itself is a world. According to Forbes, users watch 4.15 million YouTube videos, send 456,000 tweets on Twitter, post 46,740 photos on Instagram and there are 510,000 comments posted and 293,000 statuses updated on Facebook, EVERY MINUTE

In 2020, you, me and every person is generating almost 1.7 megabytes of data in just a second; Internet users generate about 2.5 quintillion bytes of data a day making the Big Data Analytics market reach $103 billion by 2023.

Ever wondered what this data is? How is it used for analysis? How does it help in decision-making? What are industries that use Big Data tools for their company? Above all, how do they analyze such huge data?

In order to explain all these questions, first, let’s begin with what is it?

What is BigData?

A Big data cluster lab is a collection of VMs/ physical machines that are networked together to perform any kind of parallel computations on the big data sets. It consists of a network of connected master and slave nodes that utilize high availability, low-cost commodity hardware.

The characteristics of Big Data is depicted in the image below

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Applications of Big Data

• Banking and Securities
• Manufacturing
• Media and Entertainment
• Insurance
• Automobile
• Education
• Government
• Energy sector

Nuvepro Big Data cluster lab is powered by multi-node clusters with the highest config Gateway node, master node, and many data nodes.

Features of Big Data Cluster Labs:

• 24 * 7 access
• Built with Cloudera 6.2
• Scalable lab to any number of students
• Installed with all relevant Big Data Modules/ standard components
• Seamlessly integrate with your existing learning management systems
• 24*7 Customer Support

Other Benefits:

• Managed Big Data Labs
• Instantaneous onboarding of new users
• Industry ready students with real-life development and testing projects
• High-skilled resources not required
• Easily integrate with deployed Learning Management Systems

 BigData Hands-on Labs Available

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Apache Avro 1.7.6

Apache Flume 1.6.0

Apache Hadoop 2.6 (CDH version default)

Apache HBase 1.2.0

Apache Hive +

HiveServer2(Beeline)2.3.2

Hue 3.9.0

Cloudera Manager 5.14.1

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Apache Oozie 4.1.0

Apache Parquet 1.5.0

Apache Pig 0.12.0

Apache Kafka 0.11

Apache Solr 1.4.5

Apache Spark (Spark streaming)1.6 + 2.2.1

Apache Sqoop 1.4.6

Apache Sqoop2 1.99.5

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Apache ZooKeeper 3.4.5

Apache Pheonix 4.5.2

Apache Impala 2.11.0

Map-reduce + Yarn

Cassandra

MongodB

Many more….

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