por Within the vast world of Big Data tools, languages and systems you can find one of the structures of software most used, such as Hadoop. As part of its main elements, you can count on HDFS (Hadoop Distributed File System) which is a fundamental part of the development of this data structure.
At we recognize its importance for data management within Hadoop and, for this reason, in this post We explain what HDFS is, how it works and what its architecture is.
What is HDFS?
HDFS (Hadoop Distributed File System) It is the component of the Hadoop architecture that is responsible for distribute large amounts of data across a cluster to achieve data storage and processing based on a distribution dynamic.
Now, to manage an appropriate distributed file system The following elements must exist:
Immutable files such as CSV, TXT, etc.MapReduce Jars to run the JAVA programming language.Libraries of data with well-defined instances.Sequence files to identify the data and its process during management.
What are its main characteristics?
Below, we present the main characteristics that make it a reliable system:
In the first instance, HDFS has a architecture main/workers.Additionally, you can work with the cluster, which consists of a single NameNodethat is, a master server that manages the file system namespace and regulates file access by clients. As the last main features, the DataNodes manage storage for this system to carry out all its tasks.
HDFS architecture
The HDFS Architecture consists of the use of clusters through which groups and subsets of data are created. So it is recognized by certain elements that facilitate its functions, such as:
As you may have noticed, Each element is dedicated to various tasks that result in the proper storage of information. Now, we present some characteristics in relation to these components and their development:
It has the NameNode and DataNodewhich are pieces of software designed to run on any hardware that is capable of running the JVM (Java Virtual Machine). These Java virtual machines usually have a Unix-like GNU/Linux operating system.The HDFS architecture is built on the Java programming language.NameNode It is the arbiter and the repository of all HDFS metadata. The existence of a NameNode single in a cluster greatly simplifies the system architecture.The physical location of nodes is vitally important and requires a lot of practice. Therefore, at we recommend using the trial and error method once you decide to start using it.
Continue learning Big Data
In this post, we have introduced you how HDFS works within Hadoop and what its architecture is, so you will have been able to identify its importance for the management of Big Data. Remember that you will be able to use each of its factors and functions with greater skill once you develop practical trial and error tests. Do not wait more!
At we know that this can be a difficult job, therefore, we advise you to take a look at our Big Data, Artificial Intelligence & Machine Learning Full Stack Bootcamp. Thanks to this, you will have a correct accompaniment, a series of modules that prepare you to enter the universe of Big Datathe opportunity to learn them remotely and access to a variety of webinars, courses and extra material that, in less than nine months, will make you an expert in the field of big data. Sign up and continue learning about Big Data with !