SQL 101: A Foundation for Success

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In business today there is more data that has to be reviewed and analyzed then ever before.  Each individual piece of data is meaningful unto itself, but the collection of data can show trends or reveal metrics that may change the way your business operates.  The problem is that the end-user is often responsible to manager their own data as IT teams aren't equipped to handle every data request that comes in.  SQL, or structured query language, has become an essential tool for the end-user in order to be able to summarize and analyze data.  SQL is used in many applications including Access, SQL Server, Oracle, SAP, SAAS and many others.  SQL has become a critical skill for many in order to empower them to run their own queries and extract information from raw data.  

Your Benefits of Attending:

  • Learn how to give output fields a different name.
  • Gain insight into Select statements.
  • Learn about Where statements to extract the exact records you are looking for.
  • Understand how to use Order By statements to sort the data.
  • Learn how to create subtotals with Group By statement.
  • Understand how to join tables together and why you would do that.

Join Tom Fragale as he provides you with the SQL foundation that will allow you to be successful using SQL statements.

  • Tom Fragale

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Frequently Asked Questions

SQL, or Structured Query Language, is the standard language used to query, retrieve, and analyze data stored in relational databases. As organizations generate more data than ever before, business professionals are increasingly expected to access and analyze that data independently without relying on overloaded IT teams. SQL empowers end-users to run their own queries against databases powering applications like Microsoft Access, SQL Server, Oracle, SAP, and countless SaaS platforms. With foundational SQL skills, you can extract precisely the records you need, sort and group data for meaningful analysis, and join multiple tables to uncover relationships across datasets. Even a basic understanding of SQL transforms a professional from a passive data consumer into an active analyst — a capability that adds immediate value in virtually every business role that works with data.
For business professionals new to SQL, mastering a small set of core statements delivers immediate practical value. The SELECT statement is the foundation — it specifies which fields you want to retrieve from a database. The WHERE clause filters records to return only those matching specific criteria, allowing you to isolate exactly the data you need. ORDER BY sorts results by one or more fields, making data easier to read and compare. GROUP BY, combined with aggregate functions like SUM, COUNT, and AVG, creates subtotals and summary statistics for grouped data categories. Finally, JOIN statements combine data from two or more related tables — essential for analyzing relationships across datasets. Together these five elements form the SQL foundation that enables end-users to independently answer most business data questions without IT support.
One of SQL's most significant benefits for business users is the ability to self-serve data requests that would otherwise require waiting for IT resources. In organizations where data volumes continue to grow, IT teams cannot realistically fulfill every individual data request in a timely manner. SQL empowers end-users to directly query databases, extract the specific records they need, and perform their own analysis on the output. With a solid understanding of SELECT, WHERE, GROUP BY, and JOIN statements, a business analyst can independently answer questions like show me all sales over a threshold in a given period by region — without submitting a help desk ticket. This self-sufficiency accelerates decision-making, reduces bottlenecks, and allows IT resources to focus on higher-level infrastructure and development work across the organization.
A SQL JOIN combines records from two or more database tables based on a related field they share — typically an ID or key column. Business users need JOINs when the information they want to analyze lives in separate tables within the same database. For example, a customer table might contain contact details while a separate orders table contains transaction records. A JOIN links these tables on the customer ID field, enabling a single query that returns customer names alongside their full order history. Understanding how to write JOIN statements is one of the most powerful skills in SQL, enabling users to create comprehensive views of data that span multiple sources. Aurora Training Advantage's SQL 101 webinar walks business professionals through the logic and syntax of joins in practical, accessible terms for non-technical learners.
SQL is not confined to a single platform — it is the underlying query language for a vast ecosystem of business applications and database systems. Microsoft Access uses a SQL-based query engine accessible through its built-in query designer. Enterprise-grade databases like Microsoft SQL Server, Oracle, and SAP rely on SQL for data retrieval and reporting. Many modern SaaS platforms expose SQL interfaces for custom reporting, and cloud data warehouses like Snowflake, BigQuery, and Redshift are entirely SQL-driven. Even platforms not traditionally associated with SQL often use it behind the scenes for data extraction. For business professionals, learning SQL fundamentals provides transferable skills across tools and industries — making it one of the highest-return technical investments available to non-IT staff seeking to strengthen their data literacy and analytical capabilities.