Big Data & Microservices - Know How?

Differences Between Hibernate and Spring Data JPA? In this quick article, I would like to describe what is the difference between  Hibernate ORM framework  and  Spring Data JPA . Let's first know the definition of  JPA ,  Hibernate , and  Spring Data JPA , so this will make it easy to discuss the difference between Hibernate and Spring Data JPA. What Is Java Persistence API? The Java Persistence API provides a specification for persisting, reading, and managing data from your Java object to relational tables in the database. Read more about JPA at  JPA Tutorial - Java Persistence API  (you will learn everything about JPA here). What Is Hibernate Framework? Hibernate is an object-relational mapping solution for Java environments. Object-relational mapping or ORM is the programming technique to map application domain model objects to the relational database tables. Hibernate is a Java-based ORM tool that provides a framework for mapping application domain objects to

Hadoop Framework and Ecosystem In the previous blog on  Hadoop Tutorial , we discussed about Hadoop, its features and core components. Now, the next step forward is to understand Hadoop Ecosystem. It is an essential topic to understand before you start working with Hadoop.  Hadoop Ecosystem is neither a programming language nor a service, it is a platform or framework which solves big data problems. You can consider it as a suite which encompasses a number of services (ingesting, storing, analyzing and maintaining) inside it. Let us discuss and get a brief idea about how the services work individually and in collaboration. Below are the Hadoop components, that together form a Hadoop ecosystem, I will be covering each of them in this blog: HDFS  ->  Hadoop Distributed File System YARN  ->  Yet Another Resource Negotiator MapReduce  ->  Data processing using programming Spark  ->  In-memory Data Processing PIG, HIVE ->  Data Processing Services usin