PromptCloud is a Data as a Service company that helps businesses harness the power of data. We are a small bunch of people working towards shaping the imminent data-driven future by solving some of its fundamental and toughest challenges. PromptCloud is a Data as a Service company that helps businesses harness the power of data. We are a small bunch of people working towards shaping the imminent data-driven future by solving some of its fundamental and toughest challenges. The PromptCloud experience is about striving to become the best version of ourselves holistically, an experience that lasts a lifetime.

An integral part of our offerings is web-scale crawl and extraction using cloud computing and machine learning techniques. We're on a quest for innovative ways to solve the business problems of data acquisition and normalization on the web. Our vision is to make PromptCloud a one-stop brand for data and our growth is geared towards that. Where we are at PromptCloud- We are a bootstrapped company in the mid-growth phase and are planning to quickly expand (not much in terms of personnel) but heavily with respect to the solutions we can provide to big data problems in the market. We started off with international clients and we have pretty much covered the globe at that.

The revenue from data management tools is going to increase by 50% to around $187 billion by the year 2019. By using data management tools, you get to utilize a lot of built in functions rather than having to design the same from scratch. 4. Tools are classified by the stage of Big Data analytics process: 1. ETL (data preparation) 2. Data analysis (actual number crunching) 3. Data visualization (transforming numbers to actionable insights) 5. In Data analytics, ETL is a process in which Data is collated from the source system and transferred to a Data warehouse. It is the primary step in the Data analytics chain. Following are the top tools for ETL. 6. IBM Infosphere Information Server, with its massive parallel processing capabilities can deliver a hugely scalable and flexible platform to process multiple varieties of Data volumes.

Airbnb's growth has been phenomenal over the years and they are one of hottest unicorn startups in the present days. In fact, they have become profitable and hopefully, looking at IPO in the near future. According to popular media outlets, currently Airbnb has more than 2 million listings in 192 countries and operating in 65,000 cities. Considering the amount of data that Airbnb hosts, it'd be interesting to perform analyses and uncover insights related to vacation rental space in the sharing economy. In this study we'll be using the property listings data extracted for Texas, United States. Let's first try to visualize the property density across cities of Texas and find out which one has maximum number of listings.

Mobile phones have revolutionized the way we purchase products online, making all the information available at our fingertips. As the access to information becomes easier, more and more consumers will seek product information from other consumers apart from the information provided by the seller. Reviews and ratings submitted by consumers are examples of such of type of information and they have already become an integral part of customer's buying-decision process. The review and ratings platform provided by eCommerce players creates transparent system for consumers to take informed decision and feel confident about it. Amazon.com is a treasure trove of product reviews and their review system is accessible across all channels presenting reviews in an easy-to-use format. The product reviewer submits a rating on a scale of 1 to 5 and provides own viewpoint according to the whole experience.