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
- 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
- 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
- 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
Benefits of Data Engineering service:
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
They were very impressive with their thoroughness of research and approach to kicking off the project.
Head of Product Development, Sportside
Their commitment, knowledge, and good communication resulted in high performance and a comfortable work atmosphere.
CEO, Macmos Stream
Technology tool stack
- Analytical Databases: Big Query, Redshift, Synapse
- ETL: Databricks, DataFlow, DataPrep
- Scalable Compute Engines: GKE, AKS, EC2, DataProc
- Process Orchestration: AirFlow / Composer, Bat
- Platform Deployment & Scaling: terraform, custom tools
- Support for all Hadoop distributions: Cloudera, Hortonworks, MapR
- Hadoop tools: hdfs, hive, pig, spark, flink
- No SQL Databases: Cassandra MongoDB, Hbase, Phoenix
- Process Automation: oozie, Airflow
Data Engineering FAQ
What is Data Engineering?
Data Engineering is the process of transforming large amounts of company data into useful systems that are prepared for in-depth business analytics.
What are the benefits of a Data Engineering service?
A Data Engineering service takes care of collecting, parsing, managing, analyzing and visualizing large data sets in a company.
When does a company need a Data Engineering service?
If your company is experiencing difficulties with data processing and storage, our team of qualified Data Engineers can help structure and optimize your company’s data to deliver business insights.
How can Data Engineering help my business?
Data Engineering makes it faster and easier to extract useful information from a company’s data. As a result, these insights help to make accurate business decisions.
What are the elements of a Data Engineering project?
- Identifying the client’s needs
- Designing a highly scalable efficient data solution
- Implementing the ETL processes
- Validating and verifying data quality
- Delivering an analytical data driven solution for your organization
Get in touch with us
Contact us to see how we can help you.
We’ll get back to you within 4 hours on working days (Mon – Fri, 9am – 5pm).
Service Delivery Partner