DataLead team consists of top-level experts in the field of database management. Our specialists have the experience of participating in different projects by both the client, the integrator company, and the vendor.
The projects in which our team members participated were implemented in the state institutions, telecommunications and banking sectors of our country.
The volume of data managed in all institutions and companies is increasing over time. The total volume of data in the systems operated and supported by our experts increases every year, and different methods are chosen for their correct and efficient management. In 2015 alone, the total volume of managed data was 200 TB, and for 2021, this value is more than 7 PB.
Our team works with RDBMS Oracle, MS-SQL and PostgreSQL, NoSQL databases MongoDB, Cassandra, Hbase, etc. with systems such as Cloudera and Apache Software Foundation, which are used in the creation of BigData environments, and have experience working with all types of open source applications and have highest level of certifications.
Based on the recent "Open Source Code First" idea, our experts have made several successful transitions from systems that required a large amount of license fees for our clients to modern open source solutions.
Data governance & Data management
Designing a data governance strategy for data stability, quality and security. Establishing policies for users, rights and responsibilities to ensure data accuracy and correct use. In addition, creating and implementing architecture, organizing the development of policies and procedures for the flow of information needed by the company.
Big Data
Within the framework of our Big Data service, it will be possible for companies to value big data and achieve various business goals.
Business intellignece
Creating a 360-degree view of the company by integrating the information of resources, processes, finance, customer, marketing, sales services.
Artificial Intellignece and Machine Learning
Applying machine learning algorithms and building appropriate models by processing data to make various business-oriented predictions.
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