linkedin salary

From: http://blog.sina.com.cn/s/blog_6c9b83990101bbzq.html 1. About databus LinkedIn opened up its low-Latency Change Data Capture System databus in February 26. This system can capture data on MySQL and Oracle Data sources. Currently, LinkedIn only opens up the connector on Oracle. Databus, as a consistency assurance component in the LinkedIn ecosystem, remain

SNS websites are not popular on the Internet outside China. Every name is well-known: Facebook, Twitter, YouTube, MySpace, Flickr and LinkedIn. Recently, I have been engaged in the development of overseas mobile phone apps for these websites, including Facebook, Twitter, and YouTube. I was looking for some domestic materials, but I really couldn't. There were few (possible reasons for being banned ). This is because

kafka[Is LinkedIn (a company) for log processing of distributed Message Queuing, LinkedIn's log data capacity is large, but the reliability requirements are not high, its log data mainly includes user behavior (login, browse, click, Share, like) and system running log (CPU, memory, disk, network, System and process status).Many of the current Message Queuing services provide reliable delivery guarantees, and the default is instant consumption (not sui

CODE:#!/usr/bin/python #-*-Coding:utf-8-*-' Created on 2014-8-18@author:guaguastd@name:job_position_display.py ' ' # Import loginfrom Login Import linkedin_login# import jsonimport json# access to LinkedIn Apilinkedin_api = Linkedin_login ( ) # Load connections data from disk Fileconnections_data = R ' E:\eclipse\LinkedIn\dfile\linkedin_connections.json ' Connections = json.loads (open (Connections_data). r

LinkedIn Director Vicente Silveira told his blog that the website password has indeed been leaked. The full text of the statement is as follows: This morning, some reports reported that the password was stolen and we hope to provide some up-to-date information. We have confirmed that some LinkedIn accounts and passwords have been stolen. We are investigating. The following measures are taken against the s

it is. However, I noticed that the above csrtfToken parameter has different results for each request. Remember one thing: cookie. Then, use firebug to analyze what cookies have written. To ensure security, linkedin checks whether the cookie on the client is the same as that of the original client for each request. If it denies the request, it is considered unsafe, we have to put the request link (https://api.linkedin.com/uas/oauth/authorize? Oauth_t

English Original: LinkedIn feed:faster with less JVM garbageWhen I recently brushed the technical blogs of major companies, I found a very good blog post on LinkedIn's technology blog. This blog post describes the LinkedIn information middle tier feed Mixer, which provides support for multiple distribution channels such as LinkedIn's web home page, University homepage, company homepage, and client (as shown

The latest version of the social networking site, LinkedIn, has made the most of the navigation bar easier, not only to enhance the advertising effect but also to better reflect the functionality of the site itself. LinkedIn, a business social networking site, recently revamped its web site's navigation bar and user interface to simplify Web browsing and provide a more concise, compact page. But what about

Last week, LinkedIn CEO Jeff Weiner interviewed Pando daily in San Francisco. In medium, Li Jiang, an investor and writer, summarized three important courses he learned. There are suggestions that can be heard frequently in Silicon Valley, and some ideas that are hardly mentioned by anyone. I would like to share them with you here. 1. Focus Focus. Yes, you must have heard of this before. "Focus" is almost the mantra of Silicon Valley people. To start

are multiple synchronized methods within a class, be careful about the deadlock problem. It is best to avoid sleeping in the synchronized method. If you can, use synchronized block instead.In addition to this, some LinkedIn design on the process of deploying services are observed. Although most technology companies may be like this, but for my little white, it is an eye-opener. First, before the code churn is formally generated, a test is conducted,

CODE:#!/usr/bin/python #-*-Coding:utf-8-*-"Created on 2014-8-18@author:guaguastd@name:linkedin_connection_ retrieve.py ' # import loginfrom login import linkedin_login# import jsonimport jsonfrom prettytable import prettytable# A ccess to LinkedIn Apilinkedin_api = linkedin_login () connections = Linkedin_api.get_connections () Connections_data = R ' E : \eclipse\linkedin\dfile\linkedin_connections.json ' #

CODE:#!/usr/bin/python #-*-Coding:utf-8-*-' Created on 2014-8-18@author:guaguastd@name:job_position_display.py ' ' # Import loginfrom Login Import linkedin_login# import jsonimport json# access to LinkedIn Apilinkedin_api = Linkedin_login ( ) # Load connections data from disk Fileconnections_data = R ' E:\eclipse\LinkedIn\dfile\linkedin_connections.json ' Connections = json.loads (open (Connections_data). r

· LinkedIn Cubert Installation Guide · Understanding Cubert Concepts (i) partitioned blocks Understanding Cubert Concepts (ii) co-partitioned Blocks Original articles, reproduced please specify: Reprinted from: Oopsoutofmemory Shengli's blog, oopsoutofmemory This article link address: http://blog.csdn.net/oopsoom/article/details/46707733 Note: This document is based on the attribution-NonCommercial use-prohibition of the deduction of the

. "minute Files") to the consumer. Most of them use a "push" model in which the broker forwards data to consumers. at LinkedIn, we find the "pull" model more suitable for our applications since each consumer can retrieve the messages at the maximum rate it can sustain andAvoid being floodedBy messages pushed faster than it can handle. Why should we use pull instead of push? consumer's hunger is only known by consumer, so it is reasonable for the br

CODE:#!/usr/bin/python #-*-Coding:utf-8-*-"Created on 2014-8-19@author:guaguastd@name:job_title_standard.py" ' Import Osimport csvfrom Collections Import counterfrom operator import itemgetterfrom prettytable import prettytable# Specify CSV Directorycsv_file = Os.path.join (r "E:", "\ \", "Eclipse", "LinkedIn", "Dfile", "My_connections.csv") # define a set of Tran Sforms that converts the first item# to the second itemtransforms = [(' Sr. ', ' Senior