7 Cloud Attack Techniques Worthy of Vigilance

We will discuss some of these common attack chains, as well as other cloud attack techniques, which are the primary considerations for security professionals and cybercriminals.

MySQL Database Master-Slave Replication Principle

First of all, master-slave replication is a data backup scheme, which is used to establish a database environment exactly like the master database, called the slave database.

4 Pitfalls of Data Science for Big Data Practitioners

This sharing mainly summarizes the pitfalls and defects that data practitioners may encounter in practice. Like other new industries, data science practitioners need to constantly consider the present and the future;

7 Steps to Avoid Top Cloud Access Risks

Out of the 11 biggest threats facing cloud computing, configuration errors and insufficient change control ranked second, second only to data breaches.

Analysis of Rootless Container

Rootless containers provide a new container solution that adds a layer of security. It will become the next evolution direction in cloud containers.

5 Key Cloud Security Challenges and How to Overcome Them

You need to recognize the most critical cloud security challenges and develop strategies to minimize these risks.

9 Ways to Strengthen Privacy Protection in Cloud Applications

Privacy-enhancing technology allows people to control the amount of private information to be supported, but can limit their controls to preserve functionality.

Cloud Computing Network Security Level Protection Rating

If computing resources cannot be scaled up/shared on a large scale, and if they cannot be provided in the form of services, it is not considered cloud computing at all.

Top 10 Docker Open Source Alternatives

There are many alternatives to Docker software at present, and many of these products are not inferior or even better than Docker in terms of technical maturity, stability and resource consumption.

How to Create A Big Data Modeling Platform with Open Source Components?

In this article, you will learn how to use open source components to "build up" a big data modeling platform.

Artificial intelligence Technology Has Entered the 3rd Generation

Deep learning is currently the most concerned field of artificial intelligence, but it is not the whole of artificial intelligence research.

Why Can Vue Become the Mainstream Front-End Framework?

With more than 120,000 support on Github, Vue.js defeated Angular and React by a considerable advantage and became the most popular JavaScript front-end framework.

Random Forest on GPU: 2000 Times Faster Than Apache Spark

Random forest is a machine learning algorithm, trusted by many data scientists for its robustness, accuracy, and scalability.

Apache Web Page and Security Optimization Guide

Overview of Apache webpage optimization. In an enterprise, only the default configuration parameters are used after Apache is deployed, which will cause many problems for the website.

Compare The Data Analysis Capabilities of 5 Mainstream Big Data Architectures

Although data analysis is hidden behind the business system, it has a very important role. The results of data analysis play a pivotal role in decision-making and business development.

Comparison of Commonly Used Big Data Fameworks

Big data is a general term for non-traditional strategies that are required to collect, organize, and process large-scale data sets and obtain insights from them.

Analysis of Several Commonly Used Big Data Architectures

Although data analysis is hidden behind the business system, it has a very important role. The results of data analysis play a pivotal role in decision-making and business development.

Introduction to 5 Big Data Architectures

What is the big data processing framework? The processing framework and processing engine are responsible for calculating the data in the data system.

Intuitive Visual Explanation of 10 Graph Algorithms

Quickly introduce 10 basic graph algorithms, give examples and visualization, graphs have become a powerful means of modeling and capturing data in real scenes.

Machine Learning Classification Algorithm Application Scenarios

Classification method application scenarios Logistic regression, support vector machine, random forest, GBT, deep learning.

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