Big data engineers to solve big business problems
Our Big Data consulting & engineering services
- Identifying use cases for Big Data
- Creating a Big Data roadmap
- Designing a scalable data architecture
- Selecting technologies to support your data needs
- Setting up data pipelines to collect and ingest data from various source
- Handling data ingestion in real-time or batch mode
- Data cleansing and preprocessing to enhance data quality
- Transforming raw data into a usable format for analysis
- Selecting appropriate storage solution
- Implementing data storage infrastructure and data warehouses
- Setting up data backup and disaster recovery mechanisms
- Running complex algorithms and machine learning models
- Creating interactive dashboards and reports for data visualization
- Making data-driven insights accessible to non-technical stakeholders (using out-of-the-box frameworks like Power BI)
Data pipeline maintenance covered
We provide ongoing monitoring and issue resolution, ensuring the health of your data infrastructure. Cloud migration, system integration, expert workshops, and strategic reviews are included.
Continuous monitoring of data pipelines and infrastructure
Proactive issue detection and resolution
Scalability and performance optimization
Workshops and knowledge transfer sessions
Migrating on-premises data solutions to cloud platforms (AWS, Azure, GCP)
Integrating Big Data services with existing systems
On-demand data engineers to support increased workload
Periodic reviews and adjustments to your data strategy
Our Big Data stack
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