THE CHALLENGE: Business needs to drive changes accommodating the latest frameworks and methods while managing the legacy processes. It requires agility to build and maintain trustworthy data foundation and enable integration with multiple data systems, manage metadata,implement DataOps practices, and track data quality.
WHAT WE DO: We provide complete data lifecycle management services, replacing costly and siloed in-house data infrastructure by integrating multiple data systems at scale, with solid DevOps practices around it, including Git integration and active monitoring.
OUR OFFERINGS:
Data Modernization
Modernizing data storage offers substantial cost advantages over legacy storage methods.We provide services in moving data from legacy databases to modern databases and datalakes such as and not limited to aws s3 , azure data factory , GCP buckets , snowflake , redshift , databrick, mongodb etc , considering the use cases to store and retrieve structured , semistructured and unstructured data .
Data Ingestion(ETL/ELT)
We provide services in building data pipelines( ETL/ELT) to ingest and process structured, unstructured data coming through streaming and batch methods using tools and technologies such as Python, Talend, Informatica,Apache Kafka, AWS Kinesis etc. Incorporating data cleansing routines before making it available on legacy and cloud storage systems, to data scientists and analysts for exploration and analysis.
DataOps(CI/CD)
We offer our expertise in legacy and cloud-based deployment services for developing efficient pipelines to quickly and efficiently move data between various systems while ensuring optimization of the health and performance of the data pipeline.Offer consultation in enhancing the way that teams collaborate around data and how it is deployed into action.
Metadata Driven Framework(MDF)
We offer metadata driven framework based solution in data integration, migration, and ingestion using reusable data pipelines. This framework enables moving data from heterogeneous sources by configuring metadata rather than writing code. We have expertise in building MDF supporting scalability, maintainability, and restart ability in data pipelines.