Speakers: Sunil Sabat
Big Data is defined by Volume, Variety and Velocity. Managing big data for ultimate app experience is not an easy ask. Sound planning to store and manage your data sets goes long way in providing strong foundation for your app. Modeling is key. Data modeling techniques capture and translate complex system designs into easily understood representations of the data flows and processes, creating a blueprint for construction and/or re-engineering. Data modelers often use multiple models to view the same data and ensure that all processes, entities, relationships and data flows have been identified. There are several different approaches to data modeling, including: Conceptual Data Modeling - identifies the highest-level relationships between different entities. Enterprise Data Modeling - similar to conceptual data modeling, but addresses the unique requirements of a specific business. Logical Data Modeling - illustrates the specific entities, attributes and relationships involved in a business function. Serves as the basis for the creation of the physical data model. in this session, based on above fundamentals, let us learn more about how we model for NoSQL big data storage engines like MongoDB, Cassandra and Hbase which touch most big data apps today. You will learn row key and index designs. We will cover an app development and deployment at scale. We will go over an example on how we enable a developer change data model on fly and deliver new feature for the app.
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