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Rational Data Logistics
In order to gather or assemble data one needs a rational data logistics - logical steps to gather meaningful data to run a business, to manage a government or to research scientific facts or to explore space or to navigate the internet.
In this modern time there is no business and service which can run without assembling meaningful data from keeping the inventory, sales, registration, customer records, providing receipts, invoices and generating reports of the overall or specific business transactions. So much done with the data management and data processing from A to Z world wide. This is actually boosting the economy not only of developed countries but also countries underdeveloped. It is making globalization fast and rapid.
In the early days of digital data gatherings were done and still being done in a flat file storage system such as text file. Such digital filing system has very little rational data logistics in its design and development.
At this juncture the digital world have so many software developed with sophisticated programming designs to manage the data for the business, governments, industries, research, etc. Most of the sales and marketing business have their own custom build systems to run the business.
However the data gathering rational logistics at this point is called database system. It is based on the rational logistics of data relations in process of the gathering and it thus called the Relational Database system. It's fundamental language is called Structured Query Language which in short is SQL.
The most successful and actively data gathering RDBS or Relational Database System are developed by Oracle, Sybase and SQL Server. Most probably Oracle has big bulk of huge market sharing. Sybase has taken also a lot of market and now MS SQL Server is heading fast in the market from small business, e-commerce to bank and large corporations.
SQL Server has the most friendly administrative, design and development environment on the Windows family servers and desktops. I am a fan of SQL Server Relational Database System.
I am more of a data manager than a database administrator. I gather data from different sources and platforms to assemble a data warehouse for the purpose of data analysis and reporting.
This is what I do in Manhattan these days as an independent contractor and I wish to get more jobs in this field soon. The tools I use mostly SQL Server, Access and Excel for data analysis and reporting.
Transact-SQL is the language of SQL Server and with it one can do tremendous things with the data retrieving, manipulating, updating, migrating and storing - transaction reporting and warehousing!
, USA
here's my email address
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