HOW TO USE BIG DATA SOLUTIONS?

At openGeeksLab, we use our experience, expertise, and unique approach to successful Big Data solutions, services, and consulting. We combine traditional methods such as ETL and BI with advanced machine learning software and artificial intelligence technologies so that you can manage your data correctly and efficiently for the sake of your business future. How?

01

Data Mining Data Mining

01

Data Mining

Data Mining

Data mining¹ from any open source. Conversion into the required format. Extracting knowledge from data² ¹ Data mining means a process of information search and collection as well as data retention (conversion) into different formats. ² Extracting knowledge from data means a statement obtained based on this data (the fall of stocks A leads to the fall of stocks B).
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02

Crowdsourcing Crowdsourcing

02

Crowdsourcing

Crowdsourcing

Engaging people in data collection. For example, with the Driving Directions and Maps service, people can share information on traffic conditions.
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03

Data Fusion and Integration Data Fusion and Integration

03

Data Fusion and Integration

Data Fusion and Integration

Data fusion and integration is a set of techniques that allows you to integrate heterogeneous data from a variety of sources for in-depth analysis. Therefore, we can collect data from completely different sources to identify possible correlations.
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04

Machine Learning Machine Learning

04

Machine Learning

Machine Learning

Machine learning means a process of AI training and learning. It can be both controlled, with a teacher, or uncontrollable, without a teacher.
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05

Artificial Neural Networks Artificial Neural Networks

05

Artificial Neural Networks

Artificial Neural Networks

Artificial neural networks are already trained to solve a specific AI issue. It can be any task, whether it is regression or classification. We have experience both in using existing AI models and in training ours.
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06

Pattern Recognition Pattern Recognition

06

Pattern Recognition

Pattern Recognition

It is not about facial recognition. Pattern recognition is applied for classification— recognizing objects as well as categorizing them into scenes.
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07

Natural Language Processing Natural Language Processing (Speech Recognition)

07

Natural Language Processing

Natural Language Processing (Speech Recognition)

Speech and text recognition. For example, for vocal tone analyzing, for voice assistants or translators.
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08

Predictive Analytics Predictive Analytics

08

Predictive Analytics

Predictive Analytics

Predictive analytics is used to current and historical facts analysis for making predictions about future events. It helps in making crucial business decisions.
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09

Simulation Modeling Simulation Modeling

09

Simulation Modeling

Simulation Modeling

Development of an analytical sandbox allows performing various experiments at no cost. The system under study is replaced with a model that describes the real system with sufficient accuracy which we will subsequently use for experiments.
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10

Spatial Analysis Spatial Analysis

10

Spatial Analysis

Spatial Analysis

Different methods of spatial analysis are mainly applicable to geographical analysis. Analysis of spatial relationships, the study of economic system in terms of its distribution in space, neighborhood analysis, visibility/invisibility areas analysis, processing digital terrain models, etc.
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11

Statistical Analysis Statistical Analysis

11

Statistical Analysis

Statistical Analysis

Collection, measurement, monitoring, and analysis of mass statistical (quantitative or qualitative) data. Furthermore, applying probability theory to this study data to determine whether this data is random or not.
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12

Analytical Data Visualization Analytical Data Visualization

12

Analytical Data Visualization

Analytical Data Visualization

Customizable charts and reports. Analytical data visualization allows experimenting, making various samples as well as carrying out correlations, obtaining metrics by saving all these as a dashboard for subsequent monitoring.
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Main Big Data Sources

01

Internet—social
networks, forums,
blogs, media,
other sites.

02

Corporate
document
archives.


03

Sensor readings,
instrument readings,
other devices
indications.

Ready to use advantages of our big data?

why choose us

We focus on your business

We understand that our product must bring real financial results and be closely integrated into an existing business. Therefore, a Business Analyst and a Customer Success Manager are always present on a project.

We are a full-cycle development company

We have all the experts in our team you need for a project —from a Business Developer to a QA Engineer. To implement solutions, we lead a project from an idea to a final release, being responsible for quality services, timelines, results.

We guarantee quality

Our professionals apply skills honed through the study of mathematics, computer science, operations research to effective business problem solving, critical thinking, decision making.

We guarantee compliance with deadlines and budgets

With the implemented Solution Design Phase (SDP), you get a plan for creating your product or services, following the budget estimates, right down to a cent, and meeting deadlines, right down to a minute.

We guarantee transparency

The headquarters of our company is located in Europe—with all departments under one roof. This allows us to ensure lightning-fast communication both inside, between our departments, as well as outside, convenient time-zones and working hours.

We work with

tensorflow mongodb tableau apache hadoop neo4j apache spark apache hive apache drill presto github apache cassandra apache hbase apache pig apache kafka apache sqoop apache flume tez apache apache mesos apache zookeeper apache zeppelin gethue apache oozie apache flink apache storm

client feedback

Trond Bjorøy

“I was impressed by the team, and definitely
reccomend them as trustfull service provider.
I saw a clear success of my final product,
already at the start of the collaboration”

Trond Bjorøy, 

Product Developer, 

Crypto Consultant

Nathalie Feldman

I am going to work with you further on the projects and have already advised you to my colleagues. And I took 1st place at the scientific conference because of your help with the project, so finding an investor is coming

Nathalie Feldman, 

Product Owner, 

Prevas A/S

Vera Danchenko

Guys, you are great! And it’s really true! Thank you for the hardworking, finally, we could show a stable project to the client. I had never doubt in you all

Vera Danchenko, 

Product Manager, 

Bambu

Sarthak Patnaik

Big thank you to you, my team. I had a demo with the client. They are happy with the progress we have made so far. I really lucky that such professionals are working on my project

Sarthak Patnaik, 

Co-founder, 

CEO Creativexchange.io

contact us