Big Data Solutions: Example of The Development Cost
Big Data Solutions are complex and relatively new to most of the devs. Despite that, many enterprises dive deep into the big data software development as it is hard to overestimate its value for the business. Here you will find a comprehensive explanation of the big data applications architecture and cost breakdown for the sample BD development project.
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Highly valuable information is hidden in the huge volume of data that more and more businesses are aware of their importance. Systems were conceived and created to save information so that we can analyze the data and make decisions based on them. Business Intelligence and Data warehouse have proved the importance of data analysis in decision making based on structured data. The traditional databases were conceived to store structured data, queried using SQL languages. Data warehousing and Business Intelligence were the first pioneers for data exploitation and data mining. Data consulting services have provided tools to improve decision making.
In the meantime, the cost of server hosting has decreased significantly, more data can be saved. Data become more and more complex as they grew exponentially rather than linearly. Today, structured data represent only 15% of data produced every day, the remaining 85% is unstructured like music, movie, etc. A study has found that more data are produced in two days than since the dawn of humanity till 2003. Since SQL can’t query unstructured data, another way to query these data was elaborated and NoSQL database has emerged.
List of The Contents
- Structured and unstructured Big Data
- Big Data
- Where Big Data solutions are used
- Real-life examples
- Technologies that are used for Big Data software development
- Structure of Big Data software solutions
- Example of the Big Data software solution development cost
- In conclusion
FROM PROCESSING STRUCTURED DATA TO PROCESSING UNSTRUCTURED DATA
Even if a very large data warehouse can be conceived, it is limited to structured and semi-structured data. The BI consists of a set of tools and techniques for collecting, cleaning and enriching structured or semi-structured data to store in different forms of SQL-based, multidimensional databases. The data will, therefore, be managed in standardized formats to facilitate access to information and processing speeds. Business Intelligence aims to produce KPI to analyze past and present data in order to predict the future using extrapolation and act based on these forecasts.
To handle this important amount of data and especially this huge amount of unstructured data, big data was born. It has become very popular, and in 2018 it is more relevant than ever to tame it. Traditional data consulting services have evolved and have integrated big data with their services. They have become big data consulting services. Let’s dig a little further to better understand what big data is, why has it become the tendency, what is big data solution, and especially what could be the cost of implementing big data solutions.
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Read the full article about Big data solution development cost here.
What is your Big data strategy for the upcoming years, do you plan to use BD and the advantages it offers you and your business? Share your thought and opinion in the comment section below. Need a quote for the development cost for your big data solution or help with building it? Contact us via the form on the website or email and we will help you with that.
Existek is a custom software development company helping our customers to solve their business challenges with best in its class software. Contact us to get an instant and free expert consultation about your project.
