Data Engineering

Today's organizations generate a huge amount of data that needs to be optimized and transformed into useful business knowledge. Our team of qualified and experienced Data Engineers and Consultants will create high-performance infrastructure and optimize your data to help you make better decisions and achieve your business goals.

Benefits of Data Engineering service

Become a data-driven organization with the meaningful insights required to make business decisions immediately.

How can your organization benefit from Data Engineering services?

  • Making better decisions based on the powerful knowledge you gain from the data
  • Improving product quality and user experience by analyzing gathered data
  • Identifying new business opportunities by predicting behaviors based on historical data
  • Reducing costs and increasing profits by simplifying your data architecture
  • Reducing of project duration by speeding up the processes of accessing insights

Mobirise
Mobirise
Data Engineering services we perform

  • Data discovery & Data maturity assessment
  • Data quality checks and standardization services
  • Cloud based scalable solutions for large volumes of data
  • Real-time and batch data processing
  • Optimization of database and data warehouse platforms
  • Advanced data analytics
  • Web API & data streaming development
  • Agile and customer-oriented work process

Features

Data Architecture

Design DE cloud solutions designed by a team of certified experts

Preparation and automation of ETL processes for multi-structured data

Design optimization of database and data warehouse platforms

Preparation of software solutions for integrating systems

Data Processing

Implementation of scalable data driven solutions

Real-time and batch data pipelines & processing

Data quality and standardization services

Data integration & maintenance services

Data Lakes and Data Warehouses setup

Data Analytics

  • Consultancy and preparation of a plan for analytical method development
  • Preparation of recommendation systems
  • Searching for patterns in sequential data
  • Quality evaluation of organizations’ analytical products

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