TDWI’s recent data lake survey reveals that a quarter of organizations canvassed already have a data lake in production, while another quarter will deploy a lake within twelve months. The same survey showed that users have multiple options for data lake platforms, including relational databases, Hadoop, cloud, or a hybrid mix of these. Regardless of your planning stage, maturity level, or platform choice for a data lake, you need to consider how to get the most business value from it. In most organizations, for a data lake to be considered successful, it must satisfy the business requirements of key use cases. In particular, end users expect a lake to enable advanced analytics and self-service data-driven practices, but in an environment that is governed in a trusted way. Learn how to meet these requirements during the live webinar. Register now.