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Learn how to manage large datasets and analyze real data using the standard data management language
Updated on Sep, 2026
Office Productivity, Oracle, PL/SQL
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In today's world, there's a ton of data that has to be reviewed and analyzed. Each individual transaction is meaningful unto itself, but the collection of data can show trends or matrices which may be very important to the decision-making process needed for a successful business. The problem is that the end-user is in many cases responsible for managing their own data because many IT depts don't have the manpower to do that task like they used. SQL, or structured query language has become an important tool in summarizing and analyzing data. The SQL language is used in many applications including Access, SQL Server, Oracle, SAP, SAAS, and many others. It really has become critical for many people to learn this skill, so people can run their own queries, and get the information they are looking for from the raw data.
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