My name is Alex, and in this quick session I will be taking you through

The applications of BIG Data and Hadoop in Reak Estate.

BIG Data enables the accurate management of large scale projects,

provides predictive analytics regarding price expectations and provides the foundation of smart homes powered by IOT devices.

Let's delve deeper on how they do it.

Before we commence, lets understand what exactly is BIG Data.

Today, Organizations across various sectors generate tremendous amounts of data

take social networks for example. Everyday pictures of excess 350 million are uploaded on Facebook

On Twitter, 6000 tweets are published every second.

Similarly, sectors like IT infrastructure, healthcare, finance and retail generate large amounts of data

measured in terabytes and petabytes.

Technically it refers to large complex and voluminous data sets which can not be processed

by traditional database processing application. We'll discuss later on how it is processed now.

Following are the major applications of Big Data in Real Estate.

#1 Accurate Management of Large Scale Projects

#2 Smart search via Lifestyle Scores & Trends

#3 Detecting Ideal Zones for Development

#4 Intelligent Homes

BIG Data helps in the accurate reporting of every aspect of a project ranging from

Labor performance, construction quality to asset payments and budgets.

This ensures the project meets the required deadlines and specifications.

It can also depict delays and remedial measures.

Today, property websites assign lifestyle scores and generate price demand heat maps

for specific areas. They can also accurately predict the values of properties in that area within the next few months or years

Sample this, your sleep patterns are analysed and just when you wake up the coffee maker starts the brewing process and your bathtub starts filling up

Or when there is a case of a break in or any other hazard the local authorities automatically gets notified.

All this and more is being made by devices poered by BIG Data

Based on property trends and area development BIG Data can instantaneously infer the best zones

in a particular city or state for an infrastructural development

this is verry advantageous to a buyer as he can make sound investments

What framework enables the derivation of these insights?

HADOOP!

What is Hadoop?

Apache Hadoop is an open sourced framework that allows distributed processing of large data sets

across clusters of commodity computers using a simple programming model.

Hadoop Is the most powerful, economical and scalable framework in the word today!

This is largely due to its multi-node structure, powered by distributed computing clusters.

It fairs extremely well over traditional RDBMS.

This is because it works on the principle of parallel processing which enables greater scalability & flexibility

It also features high storage capabilities.

A very low barrier to entry and strong capabilities to process unstructured data.

Due to this organisations like Amazon, Yahoo, Google, Apple and Netflix are moving to Hadoop.

This has created a great demand for Hadoop professionals in the technology market.

Here are a few a few reports that showcase the potency of Hadoop in the technology market.

It blatantly states that BIG Data market is growing at the rate of 31.7% every year

And almost 90% of organisations have or will embark on Hadoop related projects.

If an IT professional upgrades to Hadoop, He can expect a salary hike of up to 250%

According to Forrester,

All organisations unsure of adopting Hadoop in 2014 will adopt in 2015 giving rise to a new economy

Coined 'Hadooponomics'

Please take a few moments to scan through this report.

Just a short introduction to Skillspeed!

We provide live expert-led corporate endorsed training in BIG Data and Hadoop.

This is a 5 week program with a clear focus on projects, case studies and assignments.

Till date, we have trained corporates such as Wipro, ITC infotech, Infosys, Genpact, HP and many more.

These are our course modules

These are our corporate partners

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