The authors introduce Cybertron, a new tool for reducing I/O operations in data-parallel programs through a constraint-based encoding.
Dave McCrory talks about what is Data Gravity, how it affects performance and portability and why these effects are amplified when there are larger volumes of data.
Julien Le Dem discusses the advantages of a columnar data layout, specifically the features and design choices Apache Parquet uses to achieve goals of interoperability, space and query efficiency.
Jeff Scott Brown introduces GORM, a super powerful ORM tool that makes ORM simple by leveraging the flexibility and expressiveness of a dynamic language like Groovy.
Simon Marlow explains how to use Haxl to automatically batch and overlap requests for data from multiple data sources.
Matt Stine presents how combine Spring Boot, Spring Data, Spring Reactor, Spring XD, Hadoop and run them in the cloud.
Michael Hunger and Lorenzo Speranzoni show how easy it is to get started with Spring Data Neo4j using Spring Boot.
Roy Clarkson and Greg Turnquist provide a quick overview of the Spring Data REST project, explains fundamental design decisions and introduces new features of the latest version.
The authors focus on POJO persistence over Cassandra, including automatic Cassandra schema generation and Spring context configuration using both XML and Java.
This talk provides a broad overview of the new features introduced in the latest Spring Data release trains: recent additions in Spring Data Commons and the latest features of individual store modules
Frank Moley introduces Spring Data and how to use it for applications connected to either RDBMS or NoSQL databases.
Ian Robinson takes a look at how size, structure and connectedness have converged to change the way we work with data, showing some new opportunities with connected data illustrated with graph search.