Advantages And Disadvantages Of Mongodb

Big data analytics can be used by company to make informed business decision by examining large amount of varied data to get customer preferences, market trends and other useful information. Company can use it to explore new revenue opportunities, improved operational efficiency, better customer service and competitive advantages over rivals.

In order for a business to maintain a competitive edge, they need to be able to understand in real time the needs of their customer base. With the advancement of social media, information that once was a trickle has now become a flood and businesses who want to remain competitive must be able to capitalize on information quickly. By analyzing data, businesses are better able to directly focus their marketing efforts and prices to gain their customers notice and stay ahead of their competitors (Savitz, 2012).

The scope of this project is to analyze similar or comparable organizations like Amazon and Barnes & Noble, and compare their communication strategies on Facebook. The gathered and analyzed information will explain and help to understand the way these organizations have been performing their social media strategies and the different results obtained to stay ahead of business.

There are a huge number of advertisements in the present web-based social networking driven society. Every advertisement is coordinated to an alternate gathering of individuals with an alternate kind of message. There are some not all that genuine promotions for things, for example, nourishment, shopping, or administrations. At that point, there are some for more genuine subjects,

Today, data is a growing asset that various businesses are having difficulty converting into a powerful strategic tool. Companies need help turning this data into valuable insight, which can diminish risk and enhance returns on investments. Companies are struggling to make sense and obtain value from their big data. Superior and reliable

Today, the data consumption rate is tremendously expanding, the amount of data generated and stored is nearly imperceivable and highly growing. Big data that is nothing but a large volume of unstructured or structured data that runs in and out in to a business on daily basis. This big data is analyzed in order to achieve prominent business growth and improved business strategies [1]. Every year there is at least 40% increase in the amount of data growth on global level, leading to which companies have started adopting new data analytic techniques and tools and also have stepped ahead moving their data towards the cloud for their big data analytic requirements and for better analysis.[3][2] In big data analysis it is not the amount of data that is essential but how efficiently we handle, process and analyze it is the key factor. Big data analysis doesn’t revolve around how much data we occupy, it deals with how well you make use

The use of the company's website and local advertising basically provides an online platform with which customers can order their products without having to visit the stores. However, unlike these aspects, social networking would provide numerous advantages to the Specialty Shop including establishment of meaningful connections and deepening relationships with customers through various networking tools.

Big data is an extensive collection of structured and unstructured data. It is a modern day technology which is applied to store, manage and analyze data that are not possible to manage, store and analyze by using the commonly used software or tools. Since all of our daily tasks are overtaken by the modern technologies and all the businesses and organizations are using internet system to operate, the production of data has increased significantly in past

In the initial stages of evolution of databases, relational databases systems was designed as a solution to the problems of flat file databases. A relational database stores data in multiple table. This technique helped to overcome the issues like data duplication, data noise and inconsistency which ensured that the data is entered and stored only once. Later as the data grew in size, it became a challenging task to handle such a significantly large amount of data. Key features like high data velocity, data variety, data volume and data complexity are few important reasons which the traditional database systems failed to handle successfully. As a result NoSQL came into

Big Data is changing the way business decisions are made. It is no longer a passing fad and if companies are not extracting insights from the data collected, they will be left behind by their competition.

Improvements brought by big data include creating more transparency among stakeholders by making big data more accessible (Manyika, 2011). Having access to and being able to manipulate data sets enables a different way of decision making to bring more science into management. Companies can segment and analyze data in near real time. The analysis improves decision making, minimizes risks, and uncover more insights to enable new innovation.

Big data is the new and still relatively misunderstood phenomenon in which companies are you using vast amounts of collected data to reveal patterns and certain trends within their collected data. Though big data is being used in a variety of different fields from retail to governmental uses, it is becoming most prominent within the healthcare field. Everyday thousands of people are admitted into hospitals and seen at various emergency clinics around the world. What if all this data from each individual seen at these clinics and hospital could be accumulated and a detailed report given to see signs of new diseases or new trends of medications effects? This is where big data is becoming such an integral part within the healthcare field.

Apache Cassandra is open source NoSQL database and it was found in Facebook. Cassandra 's data model offers the convenience of column indexes with the performance of log-structured updates. It provides horizontal scalability and the downtime is lesser compared to

Big data is an extremely important topic for future developments, growth trends and similarities between certain things. From a Microsoft blog published in 2013 big data is “the process of applying serious computing power” (HowieT, 2013). Another article describes big data as data that “exceeds the processing capacity of conventional database systems” (Dumbill, 2012). Based on these definitions and many more alike, big data refers to or can be described as recorded information that exceeds capacity. As brief as this is, data can be recorded using many instruments and even through observation. This topic is interesting to research and develop as new technologies are more capable at storing and reading mass data. With technology advancements, a method that took half a day, more than ten years ago, would only take a couple of minutes using present technologies. As big data is getting more widely used more businesses and enterprises will be interested in the trends shown.

Big data is not a hype, but it is the future. The big data industry continues to advance, and big data service providers are making it easier for companies to work with big data in driving their businesses. Progressively, greater volumes and varieties of data will be incorporated with more business processes to support better decision making and greater insight. Moreover,