Analyze Big Data with Hadoop | Hadoop Training Institutes Hyderabd

Hadoop Training Institutes Hyderabad

What is Big Data Analysis


the social media websites, sensors, devices, video/audio, networks, log files, and the web. it generates in real time and on a very large scale. Big data analytics is the process of examining this large amount of different data types or big data. to uncover hidden patterns, unknown correlations, and other useful information.


Advantages of Big Data Analysis


This allows market analysts, researchers, and business users to develop data. Business users are able to make the analysis of the data. the key early indicators from this analysis can mean fortunes for the business. Some of the exemplary use cases are as follows


  The users browse travel portals, shopping sites, search flights, hotels add to the cart. then Ad Targeting companies can analyze this wide variety of data and activities. the user discounts and deals based on the user browsing history and product history.


  In telecommunications, customers are moving from one service provider to another service provider. then analyzing call data records of the various issues faced by the customers. Issues could be as wide-ranging the call drops or some network congestion problems. Based on these issues, it identified if a telecom company needs to place a new tower in a particular urban area. if they need to revive the marketing strategy for a particular region as a new player has come up there.


Case Study – Stock market data


Now let’s look at a case study for analyzing stock market data. We will check various big data technologies to analyze this stock market. ‘New York Stock Exchange’ dataset and calculate stock data. to solve both storage and processing problems related to a huge volume of data.


Covariance


It is a financial term. that represents stocks or financial instruments move together apart from each other. The investors have the opportunity different investment respective risk profile. It is a statistical measure of investment moves in relation to the other.


A positive covariance means returns moved together. If investment instruments or stocks tend to be up or down during the same time periods.


A negative covariance means returns move. investment instrument tends to be up while the other is down.


This will help a stock broker the stocks to his customers.


Dataset

The sample dataset provided is a comma separated file. that contains the stock information like Stock opening price, Stock highest price etc.


The dataset provided is a sample small dataset having around 3500 records. but in the real production environment, there could be huge stock data running into GBs or TBs.

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