Contact Us
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 provider such as AWS, GCP, Azure with bucket storage like AWS S3, GCP GCS, Azure Blob storage and seamlessly connect this data lake with respective data catalog like AWS Glue, Hive meta data, which enables your teams for the data discovery by - AI/ML, Data Insights, Business Intelligence, and more teams to leverage it for informed decision-making.
We accelerate your Data Lake / data warehouse implementation by providing pre-built highly configurable and cloud agnostic code to construct robust ETL pipelines with end user configuration as Do It Yourself (DIY) approach. We can ingest data from multiple sources into your preferred cloud storage (AWS S3, GCS or Azure Blob) as data lake, using your choice of the below open table formats:These open table storage format enabled us to empower the capability of CDC data capture and processing with below features:
- ACID like properties.
- record-level updates
- record-leveld deletes
- Schema Evolution
- BigQuery
- Redshift
- Azure Synapse Analytics
We also provide the terraform code setup for resources provisioning on your preferred cloud and integrating the ETL/ELT code pipelines with your choice of orchestration tools like Airflow, Dagster, Prefect, etc. So we specialized in
- Terraform code setup for resources provisioning on your preferred cloud for ETL/ELT pipelines
- ETL/ELT Pipeline Implementation codebase
- Integration of provisioned resources with ETL/ELT pipelines
- User level access with terraform code for data catalog created using our pipeline
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.
- Drop us an email with your initial requirements and we will get back to you with a proposal, implementation plan and timeline.
