C Rest Api Server

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Protecting API keys in the cloud improves enterprise cloud security

The API key, like the SSL key, is the top priority in security policy. Many people verbally say they want to protect the information in the cloud, but in fact we are all stones in cloud security. Most organizations use some form of API key to access cloud services. The protection of these API keys is important.   This article will discuss the issue of protecting API key and recommend some solutions. In the 2011, the importance of API keys was gradually recognized, and companies were more aware of their full protection of these keys. After all, API keys and access to sensitive information in the cloud have ...

Protecting API keys in the cloud improves enterprise cloud security

The API key, like the SSL key, is the top priority in security policy. Many people verbally say they want to protect the information in the cloud, but in fact we are all stones in cloud security. Most organizations use some form of API key to access cloud services. The protection of these API keys is important.   This article will discuss the issue of protecting API key and recommend some solutions. In the 2011, the importance of API keys was gradually recognized, and companies were more aware of their full protection of these keys. After all, API keys and access to sensitive information in the cloud have ...

How to customize an ODBC driver based on rest service

The REST service can help developers to provide services to end users with a simple and unified interface. However, in the application scenario of data analysis, some mature data analysis tools (such as Tableau, Excel, etc.) require the user to provide an ODBC data source, in which case the REST service does not meet the user's need for data usage. This article provides a detailed overview of how to develop a custom ODBC driver based on the existing rest service from an implementation perspective. The article focuses on the introduction of ODBC ...

Getting started with the RESTful API in cloud computing

Many people think of APIs as the best way for organizations to access services provided by cloud computing vendors. Cloud users use APIs as software interfaces to connect and use resources in a variety of ways, but the optimal or modern approach is to use the http://www.aliyun.com/zixun/aggregation/14172.html ">restful" protocol API. Read on to understand the concepts of the API and how they can be used in the REST API and cloud computing services ...

Java Development 2.0: Implementing REST through CouchDB and Groovy restclient

In the past few years, the innovative development of the open source world has elevated the productivity of Java™ developers to one level. Free tools, frameworks and solutions make up for once-scarce vacancies. The Apache CouchDB, which some people think is a WEB 2.0 database, is very promising. It's not difficult to master CouchDB, it's as simple as using a Web browser. This issue of Java open ...

Image server architecture evolution

Now almost any application, such as a website, a web app and a mobile app, needs a picture display function, which is very important for the picture function from the bottom up. Must have a forward-looking planning picture server, picture upload and download speed is of crucial importance, of course, this is not to say that it is to engage in a very NB architecture, at least with some scalability and stability. Although all kinds of architecture design, I am here to talk about some of my personal ideas. For the picture server IO is undoubtedly the most serious resource consumption, for web applications need to picture service ...

"Book pick" Big Data development deep HDFs

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

Workflow scheduler azkaban installed

Overview 2.1.1 Why a Workflow Dispatching System A complete data analysis system is usually composed of a large number of task units: shell scripts, java programs, mapreduce programs, hive scripts, etc. There is a time-dependent contextual dependency between task units In order to organize such a complex execution plan well, a workflow scheduling system is needed to schedule execution; for example, we might have a requirement that a business system produce 20G raw data a day and we process it every day, Processing steps are as follows: ...

Increased support for OpenStack Swift for the Hadoop storage layer

There is a concept of an abstract file system in Hadoop that has several different subclass implementations, one of which is the HDFS represented by the Distributedfilesystem class. In the 1.x version of Hadoop, HDFS has a namenode single point of failure, and it is designed for streaming data access to large files and is not suitable for random reads and writes to a large number of small files. This article explores the use of other storage systems, such as OpenStack Swift object storage, as ...

Structural design analysis of anatomical twitter:twitter system

With the explosion of information, micro-blogging website Twitter was born. It is no exaggeration to describe Twitter's growth with the word "born". Twitter has grown from 0 to 66,000 since May 2006, when the number of Twitter users rose to 1.5 in December 2007. Another year, December 2008, Twitter's number of users reached 5 million. [1] The success of Twitter is a prerequisite for the ability to provide services to tens of millions of users at the same time and to deliver services faster. [2,3,4 ...

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