What is Big Data and Why Use Hadoop?
Big data specifies datasets that are very big. It’s a hoard of large datasets that cannot be processed by the traditional methods of computing. Big data is related to a complete subject rather than merely data that can be processed using various techniques, tools, and framework. Hadoop is an open-source frame, which is based on Java Programming and supports the storage and processing capabilities of extremely large datasets in a computing environment that is distributed across branches. Hadoop was developed by a team of computer scientists, which comprised of Mike Cafarella and Doug Cutting in 2005, to support the distribution capabilities of search engines. There are pros & cons in hadoop, but compared to pros, cons are negotiable. If you want to learn more about a 'Big Data' you may also check the types of big data article here.
Benefits of Hadoop
• Scalable: Hadoop is a storage platform that is highly scalable, as it can easily store and distribute very large datasets at a time on servers that could be operated in parallel.
• Cost effective: Hadoop is very cost-effective compared to traditional database-management systems.
• Fast: Hadoop manages data through clusters, thus providing a unique storage method based on distributed file systems. Hadoop’s unique feature of mapping data on the clusters provides a faster data processing.
• Flexible: Hadoop enables enterprises to access and process data in a very easy way to generate the values required by the company, thereby providing the enterprises with the tools to get valuable insights from various types of data sources operating in parallel.
• Failure resistant: One of the great advantages of Hadoop is its fault tolerance. This fault resistance is provided by replicating the data to another node in the cluster, thus in the event of a failure, the data from the replicated node can be used, thereby maintaining data consistency.
Careers with Hadoop
Big data with Hadoop training could make a great difference in getting your dream career. Employees with capabilities of handling big data are considered more valuable to the organisation. Hadoop skills are in great demand and thus it is very important for the IT professionals to keep up with the current trend, because the amount of data generated day by day is ever increasing.
According to the Forbes magazine report of 2015, around 80% of the global organisations are reported to make high- or medium-level investments in big data analytics. They consider this investment to be very significant and so they plan to increase their investment in big data analytics.
There are more job opportunities with Hadoop. Looking at the market forecast for Big Data, it looks like the need for Big Data engineers is going to increase. Big Data is here to stay, as the data is ever increasing and does not seem to slow down in the coming years.
A research conducted by the Avendus Capital reported that the IT market in India for big data is hovering near $1.15 billion in the year 2015. Big data analytics contributed for about one-fifth of the nation’s KPO market, which is considered to be worth almost $5.6 billion. The Hindu also predicted that by the end of year 2018, India alone would be facing a shortage of almost quarter million Big Data scientists. Therefore, Big Data Analysis with Hadoop presents a great career and tremendous growth opportunity.
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