High-Level Language Can Be Used To Retrieve Information From Databases Top 3 Differences Between Audit Command Language and SQL for Data Analytics

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Top 3 Differences Between Audit Command Language and SQL for Data Analytics

Data analysis as a professional skill has come into high demand in the last 8-9 years, as a result of the ability of companies worldwide to be able to capture customer data regarding how to buy or how to manage the company. their own finances. Evolution in software development has enabled this capability. However, there is this constant debate about whether or not the same software tools used to create data capture capabilities can be used for data analysis or we need more dedicated software tools to achieve the same .

One such tool is SQL-based database software, which essentially forms the backend for every operation. It is used to make queries to get information from data sources. Audit Command Language is another tool, which is dedicated only for data analysis projects. Let’s see the main differences between these tools, to determine which approach is better.

1. Easier interface – The first advantage of ACL over SQL-based tools is the user interface. For any end user trying to work a little on the analytical project, they can very well complete the basic routine functions to reach some very insightful reports just by using the GUI. Please see the ACL GUI demo below:

2. Work spaces – A defining feature of the ACL tool is the “workspaces”. Workspaces allow the end user to write simple lines of code for data manipulation and test the results without having to actually run scripts. Workspaces allow flexibility and another layer to the ACL project design process to perform the desired tasks.

3. Scripture – Scripting in ACL Audit Command Language is a combination of scripts and workspaces. Most of the data manipulation tasks such as the creation of new fields formed from the raw data are mainly carried out in the workspaces, where the syntax for scripting is quite simple. Other than workspaces, most tasks (such as summarizing, filtering, sorting, etc.) data can be performed simply by using the GUI provided by the tool. If any user is inclined to learn to write (with respect to analytical tasks such as summarizing, sorting, appending, joins, etc.), the logs give the scripts related to all the tasks performed with the GUI.

ACL Audit Command Language can be considered an entry-level skill that can be used for almost any type of analytical project, especially in the areas of audit/risk analysis. It acts as a refined layer of software on top of the data captured in ERP systems. It is easier to catch for professionals who do not have a technical background and almost take as a day maybe, if you have a technical education. For these reasons, it is easier to train a workforce on this tool, due to the easy learning curve and the relatively affordable investment compared to SQL, SAS, HADOOP / HIVE infrastructure.

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