Data Engineering
Today’s organizations produce a gigantic measure of information that should be upgraded and changed into valuable business information. Our group of qualified and experienced Data Engineers and Consultants will make high-performance infrastructure and upgrade your information to assist you with pursuing better choices and accomplish your business objectives.
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
Our Offerings
END-TO-END Data Engineerring Services
DATA INGESTION
Extraction of structured, unstructured data coming from streaming and batch sources and refining/cleansing data to make it available on legacy database systems or cloud systems, to data scientists and business users for exploration and analysis
DATA STORAGE & ELT / ETL
Extracting, processing, transforming, and loading data techniques into various relational, non-relational, noSQL, big data systems and/or cloud storages, depending on data availability, volume, velocity, type of data
DATA PIPELINES
Building production-grade replayable and independent data workflow pipelines to move, transform and store data using various legacy, Big Data and / or cloud orchestration and data management pipeline tools and techniques like DF, Databricks, Synapse, Informatica, etc., to process data in batch and real time
DATA CI/CD
Expertise in legacy and cloud-based deployment services for developing efficient production build and release pipelines based on infrastructure-as-code artifacts, reference / application data, database objects (schema definitions, functions, stored procedures, etc.), data pipeline definitions and data validation and transformation logics
DATA MODERNIZATIONE
An efficient and smart approach for migrating business data to/from on-prem legacy systems into cloud storage infrastructure or new target platforms
REAL-TIME PROCESSING
Expertise in implementing real-time and batch data processing systems across distributed environments based on mobile, web hosting and cloud services
