Data Integration
Integrate diverse data into your platform using various tools, handling structured, semi-structured, and unstructured data from databases, files, and APIs.
Specializing in Microsoft Azure, Databricks, and open-source technology, we utilize established data architecture and design practices to assist organizations in implementing and managing Modern Data Platforms.
We improve your data estate in every area of data management, including data integration, ingestion, migration, transformation, and enrichment, making your data ready for analytics and ensuring its security.
Data Platform Elements
Data Migration
We specialize in source-to-target Big Data migrations, utilizing proven strategies and delivery models to ensure data quality and integrity from start to finish.
Data Pipeline
We create automated master data pipelines with delta mechanisms, boosting standardization, reusability, and efficiency by reducing bottlenecks and manual steps.
Data Transformation
We use frameworks like the medallion architecture to standardize ETL and ELT workflows, incrementally cleaning and modeling your data for analytics.
Data Quality
We develop automated data quality engines within the pipeline, conducting validation checks and providing metadata-driven metrics based on predefined rules.
Data Testing
With core Quality Engineering, we deliver tailored data testing solutions for high-quality outcomes and enhanced business confidence.
Our Data Migration Process
Steps to a Successful Migration
Discovery
We start by collaborating closely with your stakeholders to assess your existing data infrastructure and workflows, ensuring readiness for a successful data transformation. This crucial initial phase sets a strong foundation for your data journey by confirming all prerequisites are in place.
Let's modernize your data platform with
cutting edge cloud technologies!