When it comes to extracting value from data, human creativity knows no bounds. Here are several project types that can be implemented to optimize data and uncover valuable insights

Data Fabric

Create an architecture that encompasses all forms of analytical data for any type of analysis with seamless accessibility and shareability by all those with a need for it. Leverage Qubole’s Data Fabric for data democratization, data integration, and data governance bolstered by Advanced Analytics & Data Science, enabling insights in a cost-effective manner.

Modern Data Architecture

Your peers in data-driven enterprises have adopted a modern data architecture where both data lake and data warehouse play their required roles.

Modern data architecture leverages traditional BI tools for standardized ETLs to extract values from Data Warehouse and relies heavily on Data Lake platforms to work with their streaming, unstructured, and semi-structured datasets for data exploration, ad-hoc analytics, streaming analytics, and ML capabilities.

Future-proof your business with modern data architecture.

Open Data Lake 

Whether you have adopted an on-premises solution or first-generation cloud architectures as your data lake platform, chances are you are not getting the results you need. The answer is choosing an open data lake platform.

Qubole’s Platform provides end-to-end data lake services such as cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration.

Consider moving to an Open Data Lake Platform.

Cloud Data Lake

With Qubole’s Open Data Lake Platform, you can migrate your legacy on-premises workloads, and build a cloud-native data lake for ad-hoc analytics, data exploration, streaming analytics, or AI/ML projects.

If you have operational challenges managing your data lake with existing data lake tools, Qubole will accelerate your data lake adoption within the organization.