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.
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| Best Hadoop Online training institute |
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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