Spring Framework Part 4 - Spring Data with JPA, Hadoop, MongoDB, and More
Duration: 5 Days
Big Data and NoSQL are very popular RDBMS alternatives for working with extremely large amounts of data. Spring Data and Spring HD are projects that offer Java developers a way to reduce time in application development in these areas. This course will teach the students how to leverage those project Frameworks. It will also include the five most popular database types. Spring Batch and Spring Integration will be used with Hadoop.
Topics Covered In This Course
The Spring Data Project
Repositories: Convenient Data Access Layers
Type-Safe Querying Using Querydsl
Type-Safe JDBC Programming with Querydsl SQL
MongoDB: A Document Store
Neo4j: A Graph Database
Redis: A Key/Value Store
REST Repository Exporter
Spring for Apache Hadoop
Analyzing Data with Hadoop
Collecting and Loading Data into HDFS
GemFire: A Distributed Data Grid
What You Can Expect
At the end of this course, students will be able to:
Who Should Take This Course
This course is designed for Developers who have attended the Spring Framework Part 1 class or have equivalent experience in developing or maintaining Spring Framework applications.
Spring programming experience, a basic knowledge of configuration, familiarity with the Spring Framework dependency injection, and JDBC programming
Instructor led with 50% lecture and 50% lab.
Every student attending a Verhoef Training class will receive a certificate good for $100 toward their next public class taken within a year.
You can also buy "Verhoef Vouchers" to get a discounted rate for a single student in any of our public or web-based classes. Contact your account manager or our sales office for details.
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