Optimization of interaction processes with databases and Big Data
DataOps and MLOps
We help to store data securely, optimize the DBMS for current business requirements and solve various tasks related to data storage and processing. We train and integrate Machine Learning models for efficient work with large data arrays.
We will help you “squeeze” the maximum out of your data in a convenient form that will be useful to your business.
By creating fault-tolerant systems, we guarantee their operation. We support your DBMS minimizing downtime.
We will audit the DBMS and help improve process performance by optimizing data storage.
Storage Optimization
MLOps
MLOps is the transformation of machine learning methods and technologies into a useful tool for solving business problems. Getting huge amounts of data, we use Machine Learning to work with them efficiently. We train and integrate machine learning models that help automate your business processes.
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Defining a business idea
Implementation of the model
Model Training
Testing
Technologies
SQL
PostgreSQL
MySQL
Oracle
MS SQL Server
NoSQL
Mongodb
Redis
Apache HBase
MS SQL Server
Apache CouchDB
Neo4j
RavenDB
OrientDB
DynamoDB
HyperTable
Hadoop
Spark
Kafka
Rabbitmq
Elasticsearch
Memcached
Sphinx
We have prepared a convenient calculator for you. You only need to specify a couple of values and get an approximate calculation.