Big Data Development Services
Key clients
WHAT IS BIG DATA?
STAGES OF WORK
Explore these critical stages, from analysis to maintenance, and empower your business with cutting-edge technology!
Analyzing the Task
Specifications for Big Data Development
Designing and Prototyping
Software Development for Big Data
Testing
Implementation and Maintenance
Technology stack
INSIGHTS
Questions & Answers
How Big Data Technologies Enhance Business Efficiency?
What Determines the Cost of Developing Big Data Solutions?
How Big Data Works
Big data refers to massive complex structured and unstructured datasets that are rapidly generated and transmitted from a variety of sources. These attributes form the three Vs of big data:
- Volume: huge volumes of stored data.
- Velocity: the rapid speed at which data streams need to be processed and analyzed.
- Variety: diverse sources and forms from which data is collected, such as numbers, text, video, images, and audio.
Big Data solutions can significantly assist business if used correctly. Let's examine how businesses should construct their work with big data to achieve the best outcome.
1. Integration First, of course, you need to create and implement the solution itself. This includes developing websites, applications, enterprise management and control systems, databases, etc. Moreover, some internal company processes will have to be restructured or adapted to integrate digital solutions, but it's worth it.
The likelihood is high that you already possess certain data sets and sources from which they are replenished. That's excellent, but remember that perfection has no limit, which means the number of data sources can be increased, data structure improved, and even seemingly useless information can find its use. Integrate your Big Data software with the other solutions in your company, and you will have a system that automates many of your processes and works, in a literal sense, for you.
2. Management The big data management strategy should include tools for data discovery, data preparation, data access, joint management of semantic metadata, data standardization and cleaning, as well as mechanisms for stream processing. Proper and efficient data management prepares it for analysis quickly and thoroughly. Plus, the analysis itself will take significantly less time with proper preparation.
For data management, it's convenient to use specialized software, and we are happy to develop it for you. Decisions should be made thoughtfully. Our analysts conduct a detailed study to set up all processes properly, and your participation in this process is very beneficial. Recognizing the importance of this stage can significantly accelerate the return on investment of your big data program.
3.Analysis When the data is collected and structured, all that remains is to analyze it and interpret the responses correctly. This is also a task for software. All data received by the system is processed and presented to you in a convenient form—schemes, tables, diagrams, and graphs. Such visualized information will become the basis for decisive steps for your business.