Hadoop Articles - Page 1 of 3. A list of Hadoop articles with clear crisp and to the point explanation with examples to understand the concept in simple and easy steps.
HDFS(Hadoop Distributed File System): HDFS is working as a storage layer on Hadoop. The data is always stored in the form of data-blocks on HDFS where the default size of each data-block is 128 MB in size which is configurable. Hadoop works on the MapReduce algorithm which is a master-slave architecture. HDFS has NameNode and DataNode that works in a similar pattern. MapReduce: MapReduce works as a processing layer on Hadoop. Map-Reduce is a programming model that is mainly divided into two phases Map Phase and Reduce Phase. It is designed for ...
Hadoop – File Blocks and Replication Factor ; Hadoop Distributed File System i.e. HDFS is used in Hadoop to store the data means all of our data is stored in HDFS. Hadoop is also known for its efficient and reliable storage technique. So have you ever wondered how Hadoop is making its storage so much efficient and reliable? Yes, here what the concept of File blocks is introduced. The Replication Factor is nothing but it is a process of making replicate or duplicate’s of data so let’s discu...
Hadoop – Pros and Cons ; Big Data has become necessary as industries are growing, the goal is to congregate information and finding hidden facts behind the data. Data defines how industries can improve their activity and affair. A large number of industries are revolving around the data, there is a large amount of data that is gathered and analyzed through various processes with various tools. Hadoop is one of the tools to deal with this huge amount of data as it can easily extract the informa...
Hive - Load Data Into Table ; MapReduce Architecture ; Different Sources of Data for Data Analysis ; Map Reduce and its Phases with numerical example. Hadoop - copyFromLocal Command ; Hadoop - Architecture ; Matrix Multiplication With 1 MapReduce Step ; Difference Between Hadoop and Spark ; What is Big Data? ; Applications of Big Data
Hadoop과 빅 데이터는 밀접하게 관련되어 있어서 함께 거론되거나, 최소한 같이 등장하는 경우가 많습니다. 빅 데이터는 그 의미가 아주 넓어 거의 모든 것과 연관될 수 있습니다. 빅 데이터는 오늘날 디지털 세상에서 즐겨야 할 한 분야로 급부상하고 있고, Hadoop은 빅 데이터 내에서 답을 찾게 해 주는 방법의 하나입니다. Hadoop은 방대한 양의 데이터를 저장하고 구문 분석하는 모든...
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Hadoop – getmerge Command ; Below is the Image showing this file inside my /Hadoop_File directory in HDFS. Step 2: Now it’s time to use -getmerge command to merge these files into a single output file in our local file system for that follow the below procedure. Syntax: nl is used for adding new line. this will add a new line between the content of these n files. In this case we have merge it to /hadoop_file folder inside my /Documents folder. Now let’s see whether the file get merged in o...
The Apache® Hadoop® project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect...