Hire an Experienced Big Data Development Company

Big Data represents many complex data sets coming from different sources and arriving in various formats. Massive volumes of information complicate traditional data storing and processing workflows and require additional infrastructure. Generally, specialists store and analyze Big Data using specially designed software solutions.

Big Data repositories contain the following types of data:

• Structured: a data collection in a well-defined format with pre-set parameters. This data type is easy to store, collect, and process. 
• Unstructured: a collection of heterogeneous data with no predefined format. This data type is challenging to derive value from.
• Semi-structured: a combination of both structured and unstructured data. Hence, it brings together some characteristics of structured data but contains information that does not apply to relational databases.

These are the inherent characteristics of Big Data:

• Volume – the size of data generated from different sources;
• Variety – the type of data (structured, unstructured, or semi-structured);
• Velocity – the speed of data generation;
• Veracity – reliability of data;
• Value – the worth of data that undergoes processing;
• Variability – the capacity of data to arrive at changing formats and types.

With the help of expert Big Data consulting companies that have mastered the collection, analysis, and interpretation of large volumes of information, practically any organization can leverage the technology. It impacts a business in a couple of ways:

• get insights into what customers want, what they will use, how they find you, and which obstacles they face when abandoning your offer;
• analyze information on the go and make informed decisions;
• improve internal efficiencies and operations by automating mundane but time-consuming tasks;
• generate an additional income stream and increase revenue.

Having a broad spectrum of use cases of Big Data for development in our portfolio, Geomotiv navigates all kinds of technical components of Big Data solutions:

• OLAP cubes;
• Data lakes;
• ETL processes;
• Data Science;
• Data visualization;
• Data management, etc.

Cost estimation for Big Data development results from a detailed investigation into the project’s specifics. Multiple factors come into play when it comes to putting a number in the budget:

• The type of engagement model with our company;
• Seniority and experience of Big Data developers and other specialists;
• The complexity of technical requirements;
• The number of data sources and data types;
• The scope and complexity of technical components.

Contact Geomotiv to find out the approximate cost of your Big Data project.

As an experienced company providing Big Data development services in USA and beyond, we’ve accumulated an enormous knowledge base of data-related projects. We know from our experience that time estimations depend on the following factors:

• Team structure: number and seniority of developers in a team;
• Your expectations: deadlines and projected project timeline;
• Tech stack: chosen tools and technologies;
• Specifics of your niche: industry regulations and best practices.

• Big Data provides easy storage for businesses for reporting and analytics needs;
• Big Data provides insights based on collecting and processing operational data;
• It enables to optimize marketing campaigns by recognizing bottlenecks, accurate forecasting;
• With Big Data solution services, companies can mitigate risks and enhance cybersecurity;
• Banks, media companies, healthcare providers, and other organizations can detect consumer trends and predict their behavior.

Contact our Big Data consulting company to find out more about the added value of Big Data for your industry-specific case.

Geomotiv is one of the Big Data software development companies with a considerable case history of projects involving high-volume data processing, data mining, predictive analytics, and BI. We’ve worked with innovative startups and large enterprises, helping them get the most out of their data investment.
Here are just a handful of the domains where we’ve used practical applications of Big Data:

• Healthcare;
• eCommerce;
• EdTech and eLearning;
• AdTech;
• MarTech;
• FinTech.

Geomotiv has provided professional Big Data services for clients in the USA and Europe for more than ten years. We never fear tasks of complex nature and love to resolve them in the most efficient way using a time-tested approach to software development.
Our hand-picked developers go through a thorough screening process where we evaluate their soft and hard skills and accumulated experience. We also ensure that our experts are matched with your domain, business culture, and project type. On top of that, we don’t charge any recruitment or service costs.