Tap into the tremendous potential of previously unanalysed data and make smarter, more agile, data-driven decisions.
Data lakes are next-generation hybrid data management solutions that can meet big data challenges and drive new levels of real-time analytics. Their highly scalable environment supports extremely large data volumes, accepting data in its native format from a variety of data sources. As a compliment to data warehouses, they provide the framework for machine learning and real-time advanced analytics.
A data lake is a method of data storage. What makes this approach unique is that all of the data is stored in its native format. This means that data in the lake might include everything from highly structured files to completely unstructured data such as videos, emails, images and social media streams.
Whether an organisation has a highly structured Data Warehouse, an established Data Lake or just repositories of databases, data stores, other sources or data streams within the organisation gaining useful insight from this combination of structured, semi and unstructured data has in the past proven unachievable.
Our solution combines real-time analytic capabilities with cost-effective, enterprise-grade open source technology, without the need to rebuild, structure or copy data. We deploy an intelligence layer above the data sources allowing querying, searching and automation of Insights.
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