Blog 1 Column

Jun

Why we need AI?

The amount of work done by humans is continuously on the rise, leading to automating the routine work of an individual. AI can reduce human dependency in tedious and repetitive tasks as well as those fields which require large human efforts.

Jun

What is AI?

ESDS

AI is a theoretical development of computer systems that have the potential of performing tasks that usually require human intelligence. AI includes the simulation of human intelligence processes that machines usually carry out and this process includes learning, reasoning as well as self-correction.

Jun

How does Hadoop handle Big Data?

ESDS

Hadoop is an open source framework that allows the storage as well as processing of the big data in a distributed environment, that is spread across the computer clusters by the use of simple models of programming languages. It is designed in such a way that it can be scaled...

Jun

What are the advantages of Big Data?

ESDS

The major advantages of big data for any business includes- better decision making, increased productivity, cost reductions, improved customer services, detection of frauds, increased revenues, increased agility and greater innovation base.

Jun

What are the key properties of Big Data?

ESDS

There are certain specific attributes that are used for defining big data. In big data, these are commonly known as the 4Vs. The 4Vs comprise of- Volume, Variety, Velocity and Veracity.

Jun

What kind of analytics are involved in Big Data?

ESDS

The analytics involved in big data is often known as the discovery analytics as the user, i.e. business analysts are looking for discovering newer business facts which isn’t known to anyone before. For this, business need large volume of data, that hasn’t been tapped for analytics

Jun

What are the main sources of Big Data?

ESDS

There are three major origin or sources of big data. These include- the Internet with social media, traditional business operations and ever rising the Internet of Things. The data from these sources can be either semi-structured or unstructured or at times a combination of the two.

Jun

What are the challenges in Big Data?

ESDS

Handling of big data is a very complex task. Some of the challenges that are faced in big data during the integration phase could include the uncertainty in data management, getting the normal data into a big data structure, synchronisation of various data sources, extracting useful information from the big...

Jun

What are the different types of Big Data?

ESDS

There are 5 different types of big data. These include- Dark Data, Lost Data, New Data, Fast Data and Big Data. 1)Dark Data: The information the user has but can’t be easily accessed 2)Lost Data: The information generated from any manufacturing equipment or any other commodity found inside the commercial...

Jun

What are the features of Big Data?

ESDS

The features of big data can be encapsulated as the 4Vs. These 4Vs include Volume: The quantity of data that is being generated and stored Variety: It refers to the type and nature of data Velocity: It refers to the speed of data at which it is generated and processed...

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