Hadoop Online & Classroom Training in Hyderabad India

Hadoop online training in India

HADOOP / BIG DATA :

Hadoop is an open-source software framework for storing and processing big data in a distributed fashion on large clusters of commodity hardware.
All the modules in Hadoop are framed with a basic presumption
 that hardware failures (of machines) are common and thus should be automatically handled in software by the framework.

Best Hadoop Online training institute

Hadoop/ Big Data training Has become one of the most talked about technologies.
Hadoop has developed to overcome issues of legacy storage and processing architectures such as relational databases.

What does Hadoop solve?
• Institutions are observing that important predictions can be made by sorting through and analyzing Big Data.
• However, since 80% of this data is “unstructured”, it must be formatted (or structured) in a way that makes it suitable for data mining and subsequent analysis.
• Hadoop is the mainstage for designing Big Data, and solves the problem of making it useful for analytics purposes.
• Divides The data across multiple machines arranged into a Hadoop Cluster , rather than storing your Big Data on one centralized database management system.

What is Hadoop Cluster ?
• A Hadoop cluster consists of commodity servers specifically designed for storing and altering Big Data, and each runs Hadoop individually. These machines process the data parallel in only one network.
• Single Hadoop cluster can be made up of multiple machines, each with two, four, or eight CPUs – thus contributing to Hadoop’s fast processing speed.
• The Hadoop distributed file system (HDFS) is a distributed, scalable, and portable file-system written in Java for the Hadoop framework.
• Each node in a Hadoop has a single NameNode; along with a group of Data Nodes they form the HDFS cluster.

What are the benefits of a Hadoop cluster structure?
• Expandable : If the current nodes in a Hadoop cluster are overwhelmed with data, it is possible to easily add others to expand processing capacity.
• Efficient: Hadoop clusters enable enormous size of data to be framed and sorted for analytic purposes with high throughput and low latency.



Why to choose Hadoop?
• Low cost : The open-source framework is free and uses commodity hardware to store large quantities of data.

• Computing power : Its distributed computing model can quickly process very large volumes of data. With increasing computing nodes , the processing power also increases.


• Scalability :By addition of more nodes , you can easily grow your system.  Only some administration is required.

• Storage flexibility :There is no need to preprocess data before saving it ,like the traditional relational databases . The unstructured data includes  text, images and videos. Bulk quantity of data can be stored as you want and decide how to use it later.

• Inherent data protection and self-healing capabilities : Data and application processing are protected against hardware failure. If one node drops , jobs are automatically redirected to other nodes to make sure the distributed computing does not breakdown. And it automatically stores multiple copies of all data.
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Hadoop training in hyderabad