Big Data

The Kites IT Training is the leading IT company in jalandhar providing 6 months and 6 weeks industrial training in Big Data.

Big data is a term that describes the high capacity of data – both structured and unstructured that deluges a business on day to day basis. It’s all not about the data that matters it’s what the organisations do with the data that matters. It also helps organisations to take better decisions and strategic business moves.

Lambda expressions: Java lambda expressions are new in Java 8. Java lambda expressions are Java’s first step into functional programming. A Java lambda expression is thus a function which can be created without belonging to any class. A lambda expression can be passed around as if it was an object and executed on demand.

Features of Big Data:

• Volume: Data is collected from the various sources including business transactions, social media and information from machine to machine data. Big data’s task is to convert the hadoop data into valuable information. The new technologies like (hadoop) have reduced the burden of storing the massive data.
• Velocity: Here it’s the speed at which the data is refined and generated to meet the requirements that lies in the growth and development of the organisation. The data flows from different sources like machines, networks, business processes and human interactions with various things like mobile devices, social media sites etc. As the data flow is in abundance and regular. It even helps the researchers and businesses in real time data and in taking the important decisions that provide strategic competitive advantages and ROI if you can handle the velocity.
• VarietyIt consists of structured and unstructured data. The data is stored from various sources like spreadsheets and databases. Now the data is stored in the form of emails, photos, videos, PDF’s audio etc..
• Veracity:In Big Data veracity refers to the noise, inclination and deformlity in data. Veracity in data analysis is the largest challenge as compared to various things like volume and velocity. It helps to clean the data and the system to keep it away from storing the “Dirty Data” in the systems.
• Validity:The Validity data means the apt and accurate use of the data for the required use. The valid data is the key to make the right decisions.
• Volatility It refers to the data for how long the data is valid and duration of its storage. In the current scenario of real time data one need to analyse at what point the data is irrelevant for the current analysis.