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.
Continuous collection of data from any source and format, and storage on the Cloud Data Lake. Managed and audited Cloud Native Data Pipelines.
Massively scalable, reliable, redundant, inexpensive, and accessible Cloud Object and Blob storage for structured and unstructured data.
Cloud Native Spark services for distributed parallel data processing. Deployment of ETL Pipelines using Cloud Workflow services for scheduling and executing jobs.
Use-case based Data Warehouse design and implementation with table design, indexing, and query performance optimization using Cloud Native SQL Data Warehouse Services.