Make your data simple and accessible
What is a data lake?
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 your data warehouse, they provide the framework for machine learning and real-time advanced analytics in a collaborative environment.
IBM, in partnership with Cloudera, offers enterprise-grade products and services to help you build a data lake and then manage, govern, access and explore big data. These solutions combine cost-effective, enterprise-grade open source technology with real-time analytic capabilities. Tap into the tremendous potential of previously unanalyzed data and make smarter, more agile, data-driven decisions.
More data management capabilities
In the spotlight
Features of data lakes from IBM
Solutions to optimize the potential of a data lake
Accelerate results and improve accuracy with a well-governed data lake
Use proven tools that bring speed, AI and machine learning to your big data analytics
Data lake industry use cases
Retail
- Determine what a customer is likely to purchase online and provide recommendations
- Identify a customer’s “path to purchase” to understand buying patterns and conduct micro-targeted marketing
- Predict or proactively identify fraudulent activity from both inside and outside the organization
Banking
- Predict the success or failure of discounts
- Pinpoint the “next product to buy” and promote that product to customers
- Identify which customers are likely to decrease their bank business and employ proactive marketing activities
Hospitality and travel
- Track and predict customer preferences to guide proactive selling
- Improve the customer experience and boost brand loyalty through customization and personalization
- Conduct real-time pricing and analysis
Deloitte
“ Using Big SQL as our core engine gave us confidence that we’d be able to succeed with a Hadoop data lake as an enterprise platform. ”
— Raj Ramani, Director of Information Management, Deloitte Canada
Resources on data lakes
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