IBM shows automating data engineering tasks and augmenting data integration can offer up to a 60X acceleration in data delivery time.
Today, your data is probably stored on-premise and in the cloud. To convert data to meaningful information, you need modern data pipelines at scale that can handle massive amounts of data. In fact, 85% of IT leaders report integration challenges are hindering their digital transformation efforts.
Regardless of how it is stored or its location, approved internal and external users need access so your business can operate efficiently. Data users who understand, standardize, and validate big data’s velocity, volume, value, variety, and integrity can transform it into meaningful information, enabling them to be more customer-centric.
Optimize your data engineering through:
Streaming & Batch Integration
Consolidate data company-wide and enable data analysis for business insights.
Data Hub/Data Mesh
Move data seamlessly between on-site and cloud storage using data-domain-based models.
Hybrid Integration
Integrate data and applications across all on-site and multi-cloud environments.
API Management
Build, deploy, and measure an API-first ecosystem using a single unified service’s microservice-based data and application APIs.
Engineering Center of Excellence (COE)
Innovation center and advisory and managed services to enable best practices in data engineering.
The Data Engineering team has 15+ years of large-scale project delivery experience dating back to the traditional ETL and modern data engineering and integration solutions, including archetypes such as data fabric, data mesh, and data lakehouse. We have a proven track record for implementing solutions that modernize your data pipeline so you can deliver ready-to-use, clean and complete data that stakeholders can trust.
Read our quick start guide to learn more.
Understand and Leverage the Power of Data Engineering
Optimize Data
Increase organizational agility by consolidating data from multiple sources.
Enhance Data Performance
Deliver clean and complete data that you can use to generate actionable insights.
Improve Data Agility
Increase speed of insights by moving data seamlessly between cloud and on-prem applications.
Level-up Data Acquisition
Simplify data acquisition by integrating data and applications across on-prem and multi-cloud environments.
Success Stories
Testimonials
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