Data Lake strategies seem to have found their perfect companion in cloud providers. After years of criticism and struggles in the on-prem Hadoop world, data lakes are flourishing thanks to the simplification in management and low storage prices provided by SaaS vendors. For some, this is the ultimate data strategy. For others, just a repetition of the same mistakes. Attend this session to learn:The benefits and shortcoming of cloud data lakesThe role and value of data virtualization in this scenarioNew development in data virtualization for cloud
Read MoreDenodo Packed Lunch Series
Data lakes have grown to be a popular architecture that enables modern analytics and data science. However, complete replication of all corporate data into giant data lakes is unfeasible. Data volumes are too high, and replication to multiple systems creates brittle point-to-point connections. Out-of-synch data and uncontrolled replication leads to “data swamp” scenarios. On top of the physical data lake, a logical approach is more feasible: a logical layer that connects different systems (the data lake among them) and exposes them as one. The complexity of the back-end systems is hidden from...
Read MoreOrganizations are adopting cloud at a fast pace and migration of critical enterprise information resources could be a challenge when dealing with complex and big data landscape.
Read MoreWhat makes data scientists happy? Of course data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses are not easy to deal with for agile data access.
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