Data Lake

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

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

Data Ingestion

Data Ingestion

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

Data Storage

Data Storage

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

Data Processing

Data Processing

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

Data Warehousing

Data Warehousing

Point Of View

  • Your cloud-native data lake built for you to power actionable insights.
    Your cloud-native data lake built for you to power actionable insights.
  • Store, process, and analyze massive volumes of data with enterprise-grade  security and auditing.
    Store, process, and analyze massive volumes of data with enterprise-grade security and auditing.
  • Develop massively parallel ETL pipelines and Data Warehouses with simplicity.
    Develop massively parallel ETL pipelines and Data Warehouses with simplicity.
  • On-demand infrastructure and minimal maintenance cost to start  instantly and pay per job.
    On-demand infrastructure and minimal maintenance cost to start instantly and pay per job.

Data Lake Costumers

RTL
RTL
Allianz
Allianz
Vodafone
Vodafone