|Product Name||Corporate Sustainability: Integrating Performance And Reporting|
|Category||Book / Magazine / Publication|
|Short Description||Height:9.25 inches / Length:6.22 inches / Weight:1.16 pounds / Width:1.06 inches|
|Amazon.com||Buy on Amazon ~ 1118122364|
|Price New||44.20 US Dollars (curriencies)|
|Price Used||39.97 US Dollars (curriencies)|
|Width||1.1 inches (convert)|
|Height||8.9 inches (convert)|
|Length||6.2 inches (convert)|
|Weight||18.88 ounces (convert)|
|Author||Ann Brockett, Zabihollah Rezaee|
|Long Description||Invaluable guidance for complete integration of sustainability into reporting and performance management systems Global businesses are under close scrutiny from lawmakers, regulators, and their diverse stakeholders to focus on sustainability and accept responsibility for their multiple bottom line performance. Business Sustainability and Accountability examines business sustainability and accountability reporting and their integration into strategy, governance, risk assessment, performance management and the reporting process. This book also highlights how people, business and resources collaborate in a business sustainability and accountability model. Looks at business sustainability and accountability reporting and assurance and their incorporation into the reporting process Focuses on how the business sustainability and accountability model are impacted by the collaboration of people, business, and resources Presents laws, rules, regulations, standards and best practices relevant to business sustainability performance, reporting and assurance Organizations worldwide recognize the importance of all five EGSEE dimensions of sustainability performance and accountability reporting. However, how to actually assess sustainability risk, implement sustainability reporting, and obtain sustainability assurance remain a major challenge and best practices are evolving. Straightforward and comprehensive Business Sustainability and Accountability hits on all of the hottest topics around sustainability including multiple bottom line (EGSEE) performance and reporting, related financial and non-financial key performance indicators (KPIs), business social responsibility and environmental reporting.|
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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
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
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.