Linux is popular among open source community. That to you can install open source on Linux. These features help you to know about Linux Operating system.
1# Linux Kernel
The kernel allocates memory and CPU time, and it also controls access to disk and network hardware. In addition this pdf helps you to know Linux file system.
Embedded Operating System
Android is the embedded Linux Operating system. The others Like CentOs, Fedora, Debian. These run on Servers, Desktops and Laptops.
Android you can use in any small device. So Android is Linux Embedded OS.
2#. Licencing
The open source definition specifies that users should be able to distribute changes, but it doesn’t require that users distribute the software under the terms of the same license.
LINUX
3# Multi Tasking
Linux’s multitasking is preemptive, meaning that the kernel can give CPU time to any process as it sees fit, potentially interrupting (or preempting) other processes.
4#. Networking
If you want to enable one Linux computer to access files stored on another Linux computer’s hard disk – the best protocol is NFS.
5#. Language
Top language in which most of the Linux kernels written is C.
6#. Managing Linux Applications
You can install and run different Linux applications by using Package management system.
7#. Locate Command
The purpose of locate command is it searches a file name from all the directories.
8#. Availability
Linux servers are more popular that they available for continuous processing.
9#. Commands
Diff – This commands is useful to compare two files.
Comp – This command also you can use to compare two files.
Nice – This command you can use to change the priority of a given process.
The content outlines essential AWS basics interview questions that every beginner should be familiar with. It serves as a resource for fresh candidates preparing for interviews in cloud computing. The link provided leads to additional multimedia content related to the topic.
When you write a few lines of PySpark code, Spark executes a complex distributed workflow behind the scenes. Many data engineers know how to write PySpark, but fewer truly understand how statements become stages, stages become tasks, and tasks run on partitions. This blog demystifies the internal execution model of Spark by connecting these four…
Azure Data Factory (ADF) is Microsoft’s fully managed, cloud-based data integration and orchestration service. It helps you collect data from different sources, transform it at scale, and load it into your preferred analytics or storage systems. Whether you are working with Azure SQL, on-premises databases, SaaS applications, or big-data systems, ADF gives you a unified…
This end-to-end tutorial shows how to upload LiDAR images to AWS S3, preprocess point cloud data, train an ML model in Amazon SageMaker, deploy the model, and store prediction outputs back in S3. Includes clear practical steps for beginners and ML engineers.
Data Engineer with deep AI and Generative AI expertise, crafting high-performance data pipelines in PySpark, Databricks, and SQL. Skilled in Python, AWS, and Linux—building scalable, cloud-native solutions for smart applications.
You must be logged in to post a comment.