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Both DevOps and Agile provide structures and frameworks that can accelerate software delivery. There is no need to choose between DevOps or Agile, but both methods can be used at the same time.

The DevOps operation and maintenance industry has gone through the initial, professional, instrumental, platform, cloud and intelligent processes.

In order to build high-quality software, you must continuously run automated and manual tests throughout the delivery process.

The need to quickly distribute software using cloud environments, microservices, and containers has increased year by year, and discussions about the security role of agile DevOps have also emerged.

In this article, you can learn about how to set the SQL mode using the dos command in windows.

SQL Mode will affect the SQL syntax and data verification supported by MySQL.

SQL Mode will affect the SQL syntax and data verification supported by MySQL.

What is Spark RDD? RDD stands for Elastic Distributed Dataset, the cornerstone of Spark computing.

Spark RDD operations are divided into two major types. In this article, you can learn more about it.

The core of Spark is built on a unified abstract elastic distributed data set. This article describes how to create Spark RDD.

According to different conversion operations, the dependency of RDD blood relationship is divided into narrow dependency and broad dependency.

Spark RDD cache is an important feature of Spark and one of the reasons why Spark is fast.

Spark RDD's dependency is divided into two categories: wide dependency and narrow dependency.

RDD is the most important abstract concept provided by Spark. It is a special data collection with fault tolerance mechanism, which has the following five characteristics.

RDD is a distributed data set, and its data should be stored on multiple machines.In this article, you can learn about Spark RDD underlying principles.

RDD, or "Resilient Distributed Dataset", is a basic data structure of Spark. This article describes how iterative and interactive operations are performed in Spark RDD.

This article shows how the following five components are connected to each other, and cooperate to realize the principle of the operation architecture of our Spark application.

This article mainly introduces the detailed explanation of the principle of Spark scheduling architecture

RDD is the most important abstract concept provided by Spark. It is a special data collection with fault tolerance mechanism, which has the following five important internal properties.

RDD is the most important abstract concept provided by Spark. It is a special data collection with fault tolerance mechanism, which has two kinds of operator.