About this Course
With data playing a major role in decision making of various business endeavors, it is important to store data in an efficient manner so that it can be used for analysis purposes. Thanks to Hadoop, it is possible now and that too without shelling much money. Usage of Hadoop has enabled organizations to know about the behavior of their customers. For example, you can analyze from the data his buying and clicking pattern, suggest tailor made solutions to him and do personalized ad targeting. Hadoop has made lives easier for entrepreneurs who were earlier facing issues in wooing customers. So now the question arises whether learning Hadoop can help you as an individual? Before answering the question,/let us know in detail about Hadoop.
What is Hadoop?
In layman’s language, Hadoop refers to a set of programs which can be used for storing, processing and analyzing data which is really big in size and volume. Hadoop is written in java and is used for batch file, processing. This framework is put to use by many leading companies such as Facebook, Google, Twitter, Yahoo and LinkedIn. You can add several nodes in the cluster for increasing its usability. There are four modules of Hadoop which will be covered in the course.
HDFS refers to Hadoop Distributed File System which was developed on the basis of Google’s GFS paper According to it, files should be sub divided into blocks and stored in nodes over a distributed architecture.
Used for job scheduling and cluster management Yarn stands for Yet Another Resource Negotiator.
- Map Reduce
Map Reduce helps in performing parallel computation on data with the usage of key value pair.
- Hadoop Common
Hadoop Common is the set of libraries which is used for starting Hadoop and are utilized by other modules.
Advantages of Hadoop
There are many advantages of hadoop in handling big data.
- Fast Retrieval
In HDFS, retrieval of data is faster as the data is faster as the data is stored over a distributed architecture which makes it easier to access data which in turn reduces processing time. You can say that the technology can transfer terabytes of data in minutes and peta bytes of data in minutes.
- Option of increasing functionality
You can easily increase the scalability of Hadoop by adding nodes in the cluster.
- Fail proof
Owing to the property of HDFS to replicate data over network, you can easily get a copy even if a node is down or a network failure happens.
- Cost effective
Since Hadoop is an open source software therefore it can be modified by anyone therefore it is reasonable in the terms of price as compared to other relational database management systems.
Why Should You Pursue Big Data and Hadoop Course?
- Booming big data market
As per NASSCOM, the Indian big data analytics sector will take a huge leap in future and will expand up to eight time to reach $16 billion by the year 2025 from the present market valuation of $2 billion.
- Fat Pay Scale
With prosperous scope of big data analytics industry, there is a huge demand of professionals with proficiency in the domain. This skill gap can lead to professionals with knowledge and certification in Hadoop and Big Data to acquire decent salary packages.
- Big data is Omnipresent
Big data is present everywhere and you cannot deny that it is the next big thing which will revolutionize the business industry and its applications is already seen in many sectors such as politics, healthcare snd sports.