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EAN-139780198528753   EAN-13 barcode 9780198528753
Product NameNet Smart: How To Thrive Online
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionHardcover
Amazon.comA Buy on Amazon ~ 0262017458
Price New8.99 US Dollars    (curriencies)
Price Used1.05 US Dollars    (curriencies)
Width0.81 inches    (convert)
Height9 inches    (convert)
Length6 inches    (convert)
Weight20.8 ounces    (convert)
AuthorHoward Rheingold
Page Count336
BindingHardcover
Published03/16/2012
Long DescriptionLike it or not, knowing how to make use of online tools without being overloaded with too much information is an essential ingredient to personal success in the twenty-first century. But how can we use digital media so that they make us empowered participants rather than passive receivers, grounded, well-rounded people rather than multitasking basket cases? In Net Smart , cyberculture expert Howard Rheingold shows us how to use social media intelligently, humanely, and, above all, mindfully. Mindful use of digital media means thinking about what we are doing, cultivating an ongoing inner inquiry into how we want to spend our time. Rheingold outlines five fundamental digital literacies, online skills that will help us do this: attention, participation, collaboration, critical consumption of information (or "crap detection"), and network smarts. He explains how attention works, and how we can use our attention to focus on the tiny relevant portion of the incoming tsunami of information. He describes the quality of participation that empowers the best of the bloggers, netizens, tweeters, and other online community participants; he examines how successful online collaborative enterprises contribute new knowledge to the world in new ways; and he teaches us a lesson on networks and network building. Rheingold points out that there is a bigger social issue at work in digital literacy, one that goes beyond personal empowerment. If we combine our individual efforts wisely, it could produce a more thoughtful society: countless small acts like publishing a Web page or sharing a link could add up to a public good that enriches everybody.
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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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