Comparison Between Hadoop 2.x vs Hadoop 3.x
1. Objective In this Hadoop tutorial, we will discuss the Comparison between Hadoop 2.x vs Hadoop 3.x. What are the new features added in Hadoop version 3, is Hadoop 2 programs compatible in Hadoop 3,...
1. Objective In this Hadoop tutorial, we will discuss the Comparison between Hadoop 2.x vs Hadoop 3.x. What are the new features added in Hadoop version 3, is Hadoop 2 programs compatible in Hadoop 3,...
Everyone is running behind big data these days. Professionals from varied spheres are adoring 21st-century data science. Big Data has been an ambivalent word in the IT industry for some time, but this will...
Explore what is Erasure Coding in HDFS, and why this feature is introduced in Hadoop 3.0 In this article, we will study HDFS Erasure Coding in detail. The article explains the reason for introducing...
Almost every sector is using Big Data and the most benefitted one is healthcare. So, today I am going to tell you everything about Big Data in healthcare sector. Let’s start understanding how healthcare...
This tutorial will list best books to learn and master Apache Hadoop Yarn. Apache YARN (Yet Another Resource Negotiator) is one of the key features in the second-generation Hadoop 2 version of the Apache...
In this Apache Flink Use Cases tutorial, we will discuss top 7 use case of Apache Flink deployed in Fortune 500 companies. Apache Flink also known as 4G of Big Data, understand its real...
Do you know – We perform 40,000 search queries every second (on Google alone), which makes it 3.5 searches per day and 1.2 trillion searches per year. – Forbes Dealing with such huge amount...
There is a huge hype of Big Data and its features, most of them have been summed up in 9 different Vs of Big data like Volume, Velocity, Variety, Veracity, Validity, Volatility, Value, Variability,...
1. Objective In this Apache Spark tutorial, we will discuss the comparison between Spark Map vs FlatMap Operation. Map and FlatMap are the transformation operations in Spark. Map() operation applies to each element of RDD and...
1. Objective With the increasing size of data that generates every second, it is important to analyze this data to get important business insights in a lesser time. Several Big data options like Hadoop, Storm, Spark, Flink etc. have made this...