data-lake

That’s not a Data Lake, THIS is a Data Lake – IoT on AWS – A Philly Cloud Computing Event

This talk will review two common use cases for the use of captured metric data: 1) Real-time analysis, visualization, and quality assurance, and 2) Ad-hoc analysis. The most common open source streaming options will be mentioned, however this talk be concerned with Apache Flink specifically. A brief discussion of Apache Beam will also be included in the context of the larger discussion of a unified data processing model.

IoT on AWS – Coping with Aging (Data)

Data has different purposes over time: when fresh, it can be used for real-time decision-making; as it ages, it becomes useful for analytics; eventually, it becomes a record, useful or perhaps not. Each of these stages requires a different approach to storage and management, and this talk looks at appropriate ways to work with your data at the different stages of its life.