Hadoop mapreduce Hadoop mapreduce How to read the Docx file using mapreduce method in hadoop
Spring Framework for Apache Hadoop 2.3.0 GA released
for Hadoop helps the developers to quickly develop and
deploy Hadoop based applications. Spring for Hadoop provides the APIs for using
HDFS, MapReduce, Pig...The version of Spring for Apache Hadoop 2.3.0 is released on 22nd December
5 Invincible Reasons to use Spark for Big Data Analytics?
requirement for Hadoop users to understand an array of complexities like Java... until Spark came in a big way, Hadoop was the most dominant engine for big data processing. In many respects Hadoop excelled. First of all, Hadoop Distributed
What is HBase? Hadoop project. Like Big Table, HBase can hold large volumes of data, a lot... runs on the Hadoop Distributed File System (HDFS) and also supports Hadoop's Map... in Java, it is a non-relational database store. Another advantage is its
What is Apache Spark Framework?
to other Big Data processing technologies like Storm and HadoopMapReduce.
Apache... cluster making Spark function inside the MapReduce or in Hadoop v2 YARN cluster...: Besides supporting typical 'Map' and 'reduce' function of HadoopMapReduce
Why is Apache Spark So Hot?
on Apache Spark quickly left behind Apache Hadoop in popularity. Now Spark became... platform Hadoop by huge gap in popularity. Adoption in new and diverse... unparalleled in-memory computing and processing ability.
MapReduce is replaced
Features and Benefits of Apache Spark
Spark utilizes more random memory instead of network and disk... is really steps ahead of other Big Data technologies like Hadoop? By explaining... for Hadoop which is built to deliver unparalleled speed, easy to use
Introduction to Apache Spark
in HDFS, Cassandra, HBase, Hive, Tachyon, and any Hadoop data
Application can be developed in Java, Scala, Python and R
programming languages to develop... with the
existing Hadoop clusters and provide faster processing.