Organizations’ ability to glean insights from diverse data sets determines their competitive advantage, ranging from deeper understanding of customers, better responsiveness to trends to more efficient operations. This reality of data diversity has given rise to the “data lake” – a data management architecture that allows organizations to store and analyse a wide variety of structured and unstructured data.
Benefits of having a data lake include:
Unify data from myriad sources and formats
Federate and query any data virtually
Drive machine learning and advanced analytics
As data continues to grow in both volume and formats across multiple deployments, performing analytics has become more complex and challenging. Creating an enterprise wide data lake has been a long-held vision which remains unrealized for most organizations. A data lake is the primary building block in creating an information architecture (IA), which is critical to achieve successful implementation of artificial intelligence. As has been said several times before, “there is no AI without IA”.
In Vamshi Vattem’s Learning Lab session at 4:20pm on Nov 13th at the Gartner Symposium in Goa, discover how IBM is helping leading enterprises design an information architecture using the power of DataOps, Data Virtualisation and advancements in AI to make the vision of enterprise data lake a reality.
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