Learn more about the different design patterns used in the MapReduce framework.
Apache Mahout is an open source project from the Apache Software Foundation (ASF) with the primary goal of creating a machine learning algorithm.
Learn more about the different steps and tools employed to protect Big Data applications.
Learn more about how HDFS Federation helps to enhance an existing HDFS architecture.
Learn more about the latest trends in the big data and analytics world.
Delve into using Annotation Query language (AQL) for text analytics along with IBM InfoSphere BigInsights.
Get the details on MapReduce/YARN 2.0 and the functionalities it presents.
Learn more about Apache Shark and its features.
Every design approach comes with a set of pros and cons and Cloud computing is no exception to this rule.
Learn more about Apache Spark and the various aspects of this framework.
Learn more about the best ways to access a relational database using the JDBC template in Spring.
Learn more about the concepts of Gradle as a project building tool and also see how to configure and build a sample Java project.
This tutorial provides a simple explanation of the three different installation modes and the reasons for the use of each mode.
Follow this simple six step process to create a MapReduce job in Apache Hadoop using Spring.
Explore the data movement through the MapReduce architecture and the API calls used to do the actual processing, along with customization techniques and function overriding for application specific needs.