Historically, organizations have accumulated large volumes of a wide variety of data resulting in mixed quality, duplication, and silos. The pursuit to tame this data continues as the business continues with the advent of new technology platforms. A Data Lake is a possible futuristic option.
Cueris prescribes a roadmap comprising tangible, quick wins while achieving the bigger picture. It starts with the client's short and long-term needs as we architect the data lake to democratize data access, availability, and management to make it consumption-centric and contextual.
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Data variety: Build a single 'data variety' agnostic repository to store images, videos, emails, logs, sensor data, and more. A secured repository capable of fulfilling a wide range of consumption demands, a flexible & malleable data fabric. |
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Scalability and Performance: Complete relief from capacity constraints as one can easily massive amounts of data while supporting high-performance data delivery. |
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Security & Governance: Support for governed data discovery - security is inbuilt and ever-present as users can access and use data from everywhere and anywhere. |
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Data processing & analytics : Support for modern computing needs such as machine learning, AI, and analytics. A single data fabric that supports real-time data access and complex data queries. |