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EAN-139780080442921   EAN-13 barcode 9780080442921
Product NameDoing Business Internationally, Second Edition: The Guide To Cross-Cultural Success
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionHardcover
Amazon.comA Buy on Amazon ~ 0071378324
Price New3.49 US Dollars    (curriencies)
Price Used1.99 US Dollars    (curriencies)
Width1.29 inches    (convert)
Height9.3 inches    (convert)
Length6.4 inches    (convert)
Weight24.48 ounces    (convert)
AuthorDanielle Walker, Thomas Walker, Danielle Medina Walker
Page Count288
BindingHardcover
Published08/23/2002
Long Description"This is an important and excellent book for every negotiator." -The Negotiator Magazine The premier guidebook for conducting cross-cultural business Doing Business Internationally, Second Edition, is a nontechnical, accessible resource for managing today's multicultural organizations. Revised, restructured, and refocused from its classic first edition, it introduces the revolutionary Cultural Orientations Inventory (COI), a unique and valuable tool for identifying critical skills gaps and practicing style-switching, potentially increasing effectiveness and improving performance. This fully updated edition revisits the first edition's groundbreaking strategies and techniques, plus presents new tools developed in conjunction with Harvard University, Columbia University, AT&T, and other leading universities and corporations. Concentrates on team building, executive development, problem solving, and other essential activities , Features management and negotiation tips for global leaders , Provides in-depth analyses of six key global regions
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Article of interest

Here we will demonstrate the most basic example of importing the CSV data files that we produce on this site into your MySQL database.

For information about various databases you can use and how to import CSV files into them, please view the overview article "Importing CSV data into your database".

For this example, we are going to import the product data CSV file out of the sample_ean_data.zip but this same process will work on the full data download file. We will also be executing the commands in the MySQL Workbench but you can also use the command line tool with the same commands if you like.

First, start by creating a blank table. Use the table layout described in the read_me file for the most up-to-date table layout. It is suggested that you not use any indexing at this point. You can add indexes later. It is most likely that you will have your own tables where you want to store your data so importing the CSV files can be done into temporary tables and then later copied over to your tables. Leaving off the indexes and constraints on these import tables reduces the risk of import errors. Here is an example:

create table ean_product
(
    EAN13             varchar(13),
    UPCA              varchar(12),
    UPCE              varchar(8),
    SKU               varchar(200),
    PriceNew          numeric(15,2),
    PriceUsed         numeric(15,2),
    PriceDate         date,
    company           varchar(13),
    product           varchar(100),
    description       varchar(100),
    category          int,
    url               varchar(500),
    created           datetime,
    modified          datetime
);

Next we perform the import using the LOAD DATA INFILE command. The path to the file depends on where you saved the data and which operating system you are on. For Windows users you might find your file on the C: drive and Linux users may find your date in your home (~) folder. This example shows a Linux import. Only the path would be different between the operating systems.

LOAD DATA LOCAL
    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product
    FIELDS TERMINATED BY ',' ENCLOSED BY '"' ESCAPED BY '\\'
    LINES TERMINATED BY '\r\n'
    IGNORE 1 LINES;

Finally, lets look at the data that we just imported.

SELECT * FROM EAN_PRODUCT;

You may have seen some warnings after the import command. If you are concerned about these warnings, examine the data. It could be that some data has grown beyond the size specified in the read_me file. If you are worried, make the fields larger and try the process again after deleting all of the data out of the table.

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