Data Lake Implementation

A data lake is a centralized repository for managing extremely large data volumes. It serves as a foundation for collecting and analyzing structured, semi structured, and unstructured data in its native format to drive new insights, better predictions, and improved optimization. Unlike traditional data warehouses, data lakes can process video, audio, logs, texts, social media, sensor data and documents to power apps, analytics, and AI. Data lakes can be built as part of a data fabric architecture to provide the right data, at the right time, regardless of where it resides.
Business Optima takes a cloud-based, open approach to our data lake solution, building on the following principles.

Embedded governance

Rely on a data lake governance that houses raw structured and unstructured data — trusted, secured, and governed — with automated privacy and security anywhere.

Automated integration

Use data integration tools such as ETL, data replication, and data virtualization combine data from disparate sources into valuable data sets.

Virtualization

Query data directly in the data lake without duplication or movement with the data virtualization of IBM Watson® Query.

Business Optima Data Lake as a service enables organizations to define, design, and develop the capabilities of dealing with data of any size, shape, and speed. We help our clients empower their developers, data scientists, and analysts with the right tools to leverage quintillions of bytes of data. We enable organizations to:

• Create a reservoir for enterprise, social, and device information.
• Develop a scalable storage, compute, and access data layer.
• Enable data governance and enterprise-wide access controls.
• Reduce the time to access and locate data to accelerate preparation and reuse.
• Build and test customized analytics models with speed.
• Track and trace data lineage to ensure data quality and deliver reliable insights.