Problem Statement Of Real Estate Use Cases

-

Hive Use Case – Real Estate Analysis

 

Due to an industry, real estate activity is outlined as any economic dealings associated with the acquisition, sale, owner-operation or lease of property. This in addition includes income-generating residential properties, like flat, buildings and single-room rentals.

Real estate services are not enclosed within the sector. Also, samples of real estate services embrace brokerages, property management, appraisers, investment property analysts and different consultants.

All analysts, working with Big Data are using Hive or some other tool to query dataset and get results with ease. Although other querying languages exists, Hive gives us a variety of new features when compared to traditional approaches.

So,On demand of accelerating consumers in real estate field, filtered series of information was collected and handed over to data analyst team.

Load data into Hive.

Problem Statement:

          City wise list all the Villa which is not less than ten thousand.

 

 

Problem Statement:

In GALT city which residential type has more than 800sq__ft. Display their respective details street,sq__ft,sale_date,city.

 

Problem Statement:

          Which is the cheapest Villa in CA. name the city,street and price for the Villa.

 

 

Problem Statement:

List top 5 residency details which lie in the budget of 60000-120000, an area more than 1450, sold after 17th may, min bedroom 3 and, min bathroom 2.

 

 

Problem Statement:

separate list of residential apartments with more than 2 beds. Also include columns in following order City,Baths,Sq_feet,Price,flat_type,Beds respectively.

 


Comments

Post a Comment

Popular posts from this blog

Hadoop

-
Image
“90% of the world’s data was generated in the last few years.” Due to the advent of new technologies, devices, and communication means like social networking sites, the amount of data produced by mankind is growing rapidly every year. The amount of data produced by us from the beginning of time till 2003 was 5 billion gigabytes. If you pile up the data in the form of disks it may fill an entire football field. The same amount was created in every two days in  2011 , and in every ten minutes in  2013 . This rate is still growing enormously. Though all this information produced is meaningful and can be useful when processed, it is being neglected. What is Big Data? Big data  is a collection of large datasets that cannot be processed using traditional computing techniques. It is not a single technique or a tool, rather it has become a complete subject, which involves various tools, technqiues and frameworks. What Comes Under Big Data? Big data involves the data p...
Read more

Problem Statement Of Bank Marketing analysis

-
Analyze Marketing data for call campaign by bank Try yourself! Your client- a Portuguese banking institution—ran a marketing campaign to convince potential customers to invest in bank term deposit. The data is related to direct marketing campaigns of the bank. The marketing campaigns were based on phone calls. Often, more than one contact by phone to the same client was required, in order to assess if the product (bank term deposit) would be ('yes') or not ('no') subscribed: Data Fields age;"job";"marital";"education";"default";"balance";"housing";"loan";"contact";"day";"month";"duration";"campaign";"pdays";"previous";"poutcome";"y" 1 - age (numeric) 2 - job : type of job (categorical: 'admin.','blue-collar','entrepreneur','housemaid','management','retired...
Read more