Like all imperative languages Java is eagerly evaluated, but the introduction of lambdas allowed the adoption of some lazy patterns and data structures that are typically functional. Streams are the most evident example of a native Java API using laziness, but there are other cases where laziness is an effective solution to common problems. In fact it makes possible to process infinite amount of data, but it is even more than that. This talk shows why and how implementing laziness in Java with practical examples delivered with both slides and live coding sessions.
Software Engineer - Red Hat
Mario is a senior software engineer at Red Hat working at the development of the core of Drools, the JBoss rule engine. He has a huge experience as Java developer having been involved in (and often leading) many enterprise level projects in several industries ranging from media companies to the financial sector. Among his interests there are also functional programming and Domain Specific Languages. He is also the co-author of "Java 8 in Action" published by Manning.