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NS is a trend that has been seen in MS's Outlook2010. Most companies now use Outlook2007 or 2003,ms to develop the appropriate plug-ins to support this feature-microsoft Outlook Social Connector. The following are the installation steps: 1. Download here: Microsoft Outlook Social Connector 32-bit http://www.microsoft.com/downloads/en/details.aspx?FamilyID=b638cc14-11e5-448a-b5a6-4f553ce81b94displaylang=en 2. Download LinkedIn for Outlook Http://w

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

so simple that anyone can easily implement it, but it's also powerful enough that you can do anything with it.Because all of the UNIX tools implement the same interface, we call it a unified interface. This is why you can not hesitate to pipe the gunzip data out of the WC, even if the author of the two tools may never have communicated. It's like Lego bricks, they all use the same pattern to achieve nodes and slots, allowing you to pile up Lego bricks as you wish, regardless of their shape, siz

I. Overall Architecture Zoie is a real-time search engine system implemented by linkedin Based on Lucene. Its official wiki is described as follows: Http://snaprojects.jira.com/wiki/display/ZOIE/Overview Zoie is a realtime indexing and search system, and as such needs to have relatively close coupling between the logically distinct Indexing and Searching subsystems: as soon as a document made available to be indexed, it must be immediately searchable.

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

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

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

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

  Credit Limit: the credit limit defined in the customer data. Collection not written off: the receipt of the receipt not written off the invoice, that is, the collection that can also be used Bill not delivered: the order has been registered but

CSS browsers are incompatible. Tianyao feixian fell down on other websites and read it again. It's really a thing. If you say it's pretty good, you can turn it around and take notes for yourself. As the saying goes, it's better to have a good memory