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Qubole is the leading open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics.

Standardize on Modern Data Architecture

Standardize on Modern Data Architecture

Your peers in the 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 with modern data architecture

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Switch to Open Data Lake Platform

Switch to Open Data Lake Platform

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.

No other platform provides the openness
and data workload flexibility while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50 percent.

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.

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Migrate To or Start Fresh or Do More with Your Cloud Data Lake

Migrate To or Start Fresh or Do More with Your Cloud Data Lake

With Qubole Open Data Lake Platform, you can migrate your legacy on-premises workloads, 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.

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The integration of Tableau and QDS makes it faster and easier for our customers to operationalize Big Data.

Paul Lilford, Channel Director, Technology Partners

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