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Is your company considering a data-driven approach? You are in the right place. Contact us to set up a centralized data repository i.e. 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 your choice of the below table formats:These open storage table format enabled us to empower the capability of
  • ACID like properties.
  • record-level updates
  • record-leveld deletes
  • Schema Evolution
We can ingest data from multiple sources or from the ingested in Data Lake to your preferred data warehouse like:
  • BigQuery
  • Redshift
  • Azure Synapse Analytics

Why Choose Us for Your Data Lake Implementation/ Bootstrapping?

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.
  • Certified Architects: AWS/GCP/Azure-certified engineers
  • Pipeline Solutions from source X to datalake: From PoC to production in 8-12 weeks
    Source X: structure/semi-structure/un-structure data
    Table format: Apache Hudi/Apache Iceberg/Delta lake/Apache Xtable
  • Cost Guarantee: 30% lower pipeline cost vs. in-house teams development pipeline cost.
  • Custom Solutions: We tailor our services to meet your unique business needs.
  • Support: Our dedicated support team is available to assist you at every step.

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.