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As Hadoop in demand there is a huge scope for Hadoop learners. Its highest paid technology nowadays. So if you want to learn Hadoop it is the best time to start as the market is blooming for Hadoop Technology. If you are looking for a start in new technology I would definitely recommend you to go for Hadoop.
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www.prwatech.in Advantage of Hadoop Technology Before going through Hadoop let me tell you what is the importance of learning Hadoop. As Hadoop in demand there is a huge scope for Hadoop learners. Its highest paid technology nowadays. So if you want to learn Hadoop it is the best time to start as the market is blooming for Hadoop Technology. If you are looking for a start in new technology I would definitely recommend you to go for Hadoop. Before going deep into Hadoop let me just tell you what Hadoop actually do and how it functions. The basic function of Hadoop is to manage Big Data. So here the question arises. What is Big Data? Big Data is a phrase used to mean a massive volume of both structured and unstructured data that is so large it is difficult to Bangalore Address: No. 14, 29th Main, 2nd Cross, V.P road BTM-1st Stage, Behind AXA building, Land Mark: Vijaya Bank ATM Bangalore – 560068, India
www.prwatech.in process using traditional database and software techniques. In most enterprise scenarios the volume of data is too big or it moves too fast or it exceeds current processing capacity. Big data is often characterized by the 3Vs: Volume of Data Variety of Data Velocity at which the data must be processed. So to process such a huge amount of data we use Hadoop. Basically, Hadoop is an open source distributed processing framework that manages data processing and storage for Big Data Application running in clustered systems. It also includes predictive analytics, data mining, and machine learning applications. Bangalore Address: No. 14, 29th Main, 2nd Cross, V.P road BTM-1st Stage, Behind AXA building, Land Mark: Vijaya Bank ATM Bangalore – 560068, India
www.prwatech.in Hadoop can handle various forms of structured and unstructured data, giving users more flexibility for collecting, processing and analyzing data than relational databases and data warehouses provided. Need for Hadoop: 1.A Range of Data Sources: The data collected from various sources will be of structured or unstructured form. The sources can be social media, clickstream data or even email conversations. A lot of time would need to be allotted in order to convert all the collected data into a single format. Hadoop saves this time as it can derive valuable data from any form of data. It also has a variety of functions such as data warehousing, fraud detection, market campaign analysis etc. 2.Cost-Effective: In conventional methods, companies had to spend a considerable amount of their benefits into storing large amounts of data. In certain cases, they even had to delete large sets of raw data in order to make space for new data. There was a possibility of losing valuable information in such cases. By using Hadoop, this problem was completely solved. It is a cost-effective solution for data storage purposes. This helps in the long run because it stores the entire raw data generated by a company. If the company changes the direction of its processes in the future, it can easily refer to the raw data and take the necessary steps. This would not have been possible in the traditional approach because the raw data would have been deleted due to increase in expenses. Bangalore Address: No. 14, 29th Main, 2nd Cross, V.P road BTM-1st Stage, Behind AXA building, Land Mark: Vijaya Bank ATM Bangalore – 560068, India
www.prwatech.in 3.Speed: Every organization uses a platform to get the work done at a faster rate. Hadoop enables the company to do just that with its data storage needs. It uses a storage system wherein the data is stored in a distributed file system. Since the tools used for the processing of data are located on the same servers as the data, the processing operation is also carried out at a faster rate. Therefore, you can process terabytes of data within minutes using Hadoop. 4.Multiple Copies: Hadoop automatically duplicates the data that is stored in it and creates multiple copies. This is done to ensure that in case there is a failure, data is not lost. Hadoop understands that the data stored by the company is important and should not be lost unless the company wants to discard it. https://prwatech.in/lms/webinar Bangalore Address: No. 14, 29th Main, 2nd Cross, V.P road BTM-1st Stage, Behind AXA building, Land Mark: Vijaya Bank ATM Bangalore – 560068, India