Tag: Hadoop

Comparing Hadoop, MapReduce, Spark, Flink, and Storm

Comparing Hadoop, MapReduce, Spark, Flink, and Storm

Companies that need to work with large sets of data have a range of big data, open-source frameworks and solutions from which to choose. Each solution has a different set of advantages, disadvantages and ideal applications. If you're new to Big Data, you may have heard some of these terms. Below we provide a brief … Continue reading Comparing Hadoop, MapReduce, Spark, Flink, and Storm

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Comparison Between Hadoop 2.x vs Hadoop 3.x

Comparison Between Hadoop 2.x vs Hadoop 3.x

1. Objective 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, what are the difference between Hadoop 2 and Hadoop 3? We hope that this Feature wise difference between Hadoop 2 and Hadoop 3. will … Continue reading Comparison Between Hadoop 2.x vs Hadoop 3.x

How to decide between RDBMS and HADOOP?

How to decide between RDBMS and HADOOP?

What are the differences between traditional or RDBMS and Hadoop database systems? Both traditional relational (RDBMS) and Hadoop database systems have similar functionalities in terms of collection, storage, processing, recovery, extraction and data manipulation. However, they use radically different approaches in terms of data processing, and the problems they are trying to solve. RDBMS systems … Continue reading How to decide between RDBMS and HADOOP?

Hadoop – HDFS Overview

Hadoop – HDFS Overview

Hadoop File System was developed using distributed file system design. It is run on commodity hardware. Unlike other distributed systems, HDFS is highly faulttolerant and designed using low-cost hardware. HDFS holds very large amount of data and provides easier access. To store such huge data, the files are stored across multiple machines. These files are … Continue reading Hadoop – HDFS Overview

Can Hadoop Replace a Data Warehouse?

Can Hadoop Replace a Data Warehouse?

The users I spoke with ranged from seasoned data warehouse professionals to professionals who are better described as application developers who have limited data experience. Given the diversity of users (who come from diverse organizations with diverse requirements), I got diverse ideas about what a warehouse is (and is not), plus whether or not Hadoop … Continue reading Can Hadoop Replace a Data Warehouse?

Apache Storm – Introduction

Apache Storm – Introduction

Apache Storm is a distributed real-time big data-processing system. Storm is designed to process vast amount of data in a fault-tolerant and horizontal scalable method. It is a streaming data framework that has the capability of highest ingestion rates. Though Storm is stateless, it manages distributed environment and cluster state via Apache ZooKeeper. It is … Continue reading Apache Storm – Introduction