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Is your company considering a data-driven approach? You're in the right place. Contact us to set up a centralized data repository i.e called as data lake on any cloud platform like AWS S3, GCP GCS and seamlessly connect this data lake with data catalog like AWS Glue, Hive meta data, enabling your teams - AI/ML, Data Insights, Business Intelligence, and more to leverage it for informed decision-making.

We accelerate your data lake / data warehouse implementation by providing pre-built code to construct robust ETL pipelines. We can ingest data from multiple sources into your preferred cloud storage (AWS S3, Google Cloud Storage, or Azure Blob Storage) as data lake using the below table formats:These open storage table format enabled us to empower the capability of
  • ACID like properties in data lake.
  • record-level updates
  • record-leveld deletes
  • CDC will be easiler
We can ingest data from multiple sources into your preferred data warehouse like:
  • BigQuery
  • Redshift
  • Azure Synapse Analytics
We specialize in data storage on above table formats and enabled its discovery through data catalog so that you can enable the Analytics, Data Insights, AI/ML, GenAI teams to utilize these data using power of AWS Athena, Pestro, Trino, BigQuery SQL interface like interface to connect and do the insights things very quickly.
By contacting us, you can expect:
  • A free consultation with our data engineers to discuss your specific needs and challenges.
  • Expert guidance on setting up a data lake or data warehouse tailored to your business requirements.
  • Insights into best practices for data management, governance, and analytics.
  • A roadmap for leveraging your data for AI/ML and business intelligence.