Data science

The bboss.io team has been working with large volumes of data from different clients for more than 14 years.

Our specialists work in different directions of data
analysis, including:

Big data
Artificial Intelligence
Machine learning

These three directions fulfill three main goals of the business: history storing, risks forecasting, and business processes optimization.

Big data

Even a small company may have tasks connected with big data analysis. To work correctly, ML and AI algorithms require high data volumes, and there is always a need to collect, store, and manage this data immediately upon request

Our engineers can manage large volumes of data that occurs online. The bboss.io analysts can help to identify which data is relevant and build the optimal data acquisition and storage system, which will meet all the requirements of your business.

The technologies that we apply:

01
Big data tools
- Hadoop
- HDFS
- Spark
- Kafka
- HBase
- Cassandra
02
Database
- MS SQL Server
- MS Azure SQL
- MySQL, PostgreSQL
- Redis
- MongoDB
- Clickhouse
03
Cloud
- Amazon EMR
- Amazon Redshift
- Azure Batch
- Azure Events Hub
- Google BigQuery

Artifical Intelligence

The artificial intelligence systems allow analyzing customer’s data and create forecasts for future situation development.

The solutions of this kind are useful for building different tools for the business, for example:

Chatbots
Personalized applications
Image recognition
Warehouse and logistics optimization
Revenue analytics and sales plans

Machine learning

Machine learning is a part of Data Science, which allows drawing conclusions about things based on the classification of accomplished facts.

The main tasks which can be performed with the help of machine learning instruments are:

Feedback processing and classification
Messages processing, SPAM identification, and advertising letters identification
Recommender systems and determination of users’ interests
Fraud detection
Automatic announcements moderation