Analytics

Data Lake

  • We build your Cloud Native Data Lake for you to power actionable insights.
  • Store, process, and analyze massive volumes of data with enterprise-grade security and auditing.
  • Develop massively parallel ETL pipelines and Data Warehouses with simplicity.
  • On-demand infrastructure and minimal maintenance cost to start instantly and pay per job.

    • Overview

    Bring together all data of any volume, variety and velocity using Cloud Storage and Migration Tools. Leverage Cloud Native frameworks like Spark to prepare, clean, and process your data for your Machine Learning and Analytics use cases. Use the seamless integration of Data Lake Cloud Services for Machine Learning, Data Warehousing, and Analytics to gain insight from your data.

    Features

    Data Ingestion

    Continuous collection of data from any source and format, and storage on the Cloud Data Lake. Managed and audited Cloud Native Data Pipelines.

    Data Storage

    Massively scalable, reliable, redundant, inexpensive, and accessible Cloud Object and Blob storage for structured and unstructured data.

    Data Processing

    Cloud Native Spark services for distributed parallel data processing. Deployment of ETL Pipelines using Cloud Workflow services for scheduling and executing jobs.

    Data Warehousing

    Use-case based Data Warehouse design and implementation with table design, indexing, and query performance optimization using Cloud Native SQL Data Warehouse Services.

    Let's get started.

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