SQL Subqueries

Writing subqueries is an important skill to develop if you want to work effectively with your database resources.

EXAMPLES

One of the first subqueries you will probably write will be within the where statement to limit results.

If you need to display the value used to filter you can use a subquery within your select statement. Here we calculate the field ‘avgamt’ using a scalar subquery, i.e. it will return the same value on every line.

A correlated subquery is one of your more complex query structures. Here we have a subquery within our select statement that uses a value returned by the main query to the customer master table to count the number of invoices. The field ‘total_trx’

Understanding how to write effective subqueries is the first step in automating custom processes in your database. Managing transaction lists in your system, automated archiving and monthly sales reporting become much easier when writing subqueries in SQL become second nature.

If you’re interested in learning more about scalar subqueries, multiple row subqueries, and correlated subqueries check out this page.

To speak to an expert about your reporting headaches email [email protected].

Query Methods

Latest Posts

Manchester Integrated Solutions

FINANCIAL AUTOMATION

Increased Efficiency

Automating processes, such as data entry, and reporting, businesses can save time and reduce the need for manual intervention. This can lead to faster processing times, reduced errors, and improved accuracy, all of which can increase efficiency and productivity, leading to improved profits.

Better Decision-Making

With real-time access to financial data, businesses can make better-informed decisions. This can lead to improved profitability by ensuring that the business is allocating its resources effectively and making the best decisions based on up-to-date financial information.

Reduced Costs

Financial automation can also help businesses reduce costs by eliminating the need for manual labor, reducing errors, and improving accuracy. By streamlining financial processes, businesses can reduce the amount of time and resources required to complete financial tasks, resulting in cost savings over time.

Improved Cash Flow

By automating invoicing and payment processing, businesses can improve their cash flow by reducing the time it takes to receive payments and improving the accuracy of billing and payment information. This can help businesses improve their liquidity and make better financial decisions.

EMPLOYEE RETENTION

Reduced Workload

By automating data entry and reconciliation, employees can spend less time on tedious and repetitive tasks, and focus on higher-value activities that require their expertise. This can lead to a more fulfilling and engaging work experience, which can improve employee satisfaction and retention.

Improved Accuracy

Financial automation can help reduce errors and improve the accuracy of financial data. This can reduce the risk of financial errors, which can cause stress and frustration for employees. By improving accuracy, financial automation can increase the confidence that employees have in the data they are working with, which can help them make better decisions and improve overall quality.

Real-Time Visibility

Financial automation can provide real-time visibility into financial data and analytics. This can help employees make better decisions and take action quickly when needed. Employees can feel more empowered and better equipped to do their jobs, which can improve their job satisfaction and quality.

Improved Compliance

Financial automation can help ensure that your processes are in compliance with regulatory requirements and industry standards. This can reduce the risk of compliance issues and improve the quality of financial reporting. By providing a framework for compliance, financial automation can also reduce the burden on employees to stay up-to-date with changing regulations, which can improve job satisfaction and retention.

An investment in financial automation is profitable and leads to better employee engagement.

[email protected]

Manchester Integrated Solutions

ETLs & Reports with Synapse

Azure Synapse Analytics or Synapse is a cloud-based analytics service that combines big data and data warehouse technologies into a single unified service. It allows you to pull data from wide range of data sources, not just Microsoft stack, but Google Cloud too.

Synapse is designed to be flexible and scalable enough to handle data of any size and complexity. Its distributed databases, big data processing engines, and data workflows can handle complex data scenarios to derive insights quickly.

DATA MANAGEMENT

When you import and analyze data from external sources you can use Synapse as a source for your PowerBI reports. But if your reporting data is large or complex you might use a SQL managed instance database or a datalake to store the results of your import and analysis.

Synapse can be used with SQL Server or other data warehouse solutions to create an optimized hybrid approach.

SCHEDULED TRIGGERS

Many organizations prefer that users don’t touch and can’t modify data when moved from one system to another. To improve governance, security and reliability, a hands-off approach is often best.

Use pipeline triggers to schedule your imports in Synapse to extract, transform, and load your data, and give your team up-to-date business insights.

Follow this link to learn about triggers.

For help with your data questions email us today.

Manchester Integrated Solutions