Earlier, I hosted a TSQL2sDay on Has AI Helped You with Your SQL Server Job?. I had lots of fun reading various contributions to this topic by industry leaders of SQL Server. Here is the roundup of all the contributions. Using ChatGPT for T-SQL Code Reviews: Brent Ozar explores the use of ChatGPT for T-SQL code reviews, highlighting its efficiency in identifying security and performance risks, like SQL injection and the misuse of LIKE for string searches. Despite its rapid and helpful insights, Ozar notes ChatGPT’s limitations with more complex code, where advice can become vague and less usef ..read more

As a SQL Server professional, I’m always on the lookout for ways to improve my efficiency and effectiveness in my daily tasks. Recently, I’ve been exploring how artificial intelligence (AI) can assist me in optimizing my SQL queries. I wanted to share my experience and insights as part of this month’s T-SQL Tuesday episode – Has AI Helped You with Your SQL Server Job? The Query Optimization Journey I had written a query to find products that hadn’t been sold: SELECT p.ProductID, p.Name FROM Production.Product AS p LEFT JOIN Sales.SalesOrderDetail AS s ON p.ProductID = s.ProductID WHERE s.Prod ..read more

Hello, SQL Server enthusiasts! It’s time for another exciting edition of T-SQL Tuesday, and I’m thrilled to be your host for this month’s episode – Has AI Helped You with Your SQL Server Job? As database professionals, we’re always looking for ways to improve our efficiency and effectiveness in our daily tasks. With the rapid advancements in artificial intelligence (AI) and machine learning (ML), many of us have started exploring how these technologies can assist us in our SQL Server jobs. Your task for this month: write a blog post about how AI has helped you in your role as a SQL Server prof ..read more

Facing the challenge of optimizing complex SQL Server databases for enhanced performance and scalability, my new 61st course, “Advanced Query Optimization Techniques in SQL Server,” is here to transform your approach to database management. This course will teach you how to effectively analyze, troubleshoot, and enhance SQL Server databases to address critical performance and scalability issues. Course Overview In this course, you’ll be able to expertly refine and elevate your SQL Server’s performance. You’ll explore the intricate process of refactoring complex queries for greater efficiency ..read more

As sequential and time-series data proliferate across industries, mastering deep learning techniques tailored for these data types is essential for machine learning practitioners and data scientists. This course, “Recurrent Neural Networks (RNNs): Deep Learning for Sequences and Time Series” provides a comprehensive introduction to building and applying RNN models for analyzing sequential data. My 59th course with Pluralsight, is designed to provide you with practical skills for leveraging RNN architectures to unlock insights from time-dependent information. Course Overview This section outlin ..read more

As the intersection of blockchain and AI transforms data landscapes, mastering the integration of these technologies is crucial for data professionals. The “Introduction to LangChain for Data Professionals” course, offered by Pluralsight, is a meticulously crafted educational experience aimed at equipping you with the expertise to leverage LangChain technology for robust data analysis and innovative solutions. This course, my 58th collaboration with Pluralsight, is tailored to demystify the complex synergy between distributed ledgers and AI, ensuring you’re adept at harnessing the full potenti ..read more

I recently needed to urgently send someone an important document, but I only had a printed copy. Manually retyping the whole thing seemed inefficient. Instead, I took a clear photo and used OpenCV and Tesseract OCR to extract the text automatically. With just a few lines of code, I could transform the printed document into digital text, saving time and effort. Streamlined OCR with OpenCV and Tesseract The key to this simplified OCR approach lies in leveraging OpenCV for image processing and Tesseract for text recognition. Here’s a glance at the Python code: import cv2 import pytesseract # Co ..read more

As sequential and time-series data proliferate across industries, mastering deep learning techniques tailored for these data types is essential for machine learning practitioners and data scientists. This course, “Recurrent Neural Networks (RNNs): Deep Learning for Sequences and Time Series” provides a comprehensive introduction to building and applying RNN models for analyzing sequential data. My 59th course with Pluralsight, is designed to provide you with practical skills for leveraging RNN architectures to unlock insights from time-dependent information. Course Overview This section outlin ..read more

As the intersection of blockchain and AI transforms data landscapes, mastering the integration of these technologies is crucial for data professionals. The “Introduction to LangChain for Data Professionals” course, offered by Pluralsight, is a meticulously crafted educational experience aimed at equipping you with the expertise to leverage LangChain technology for robust data analysis and innovative solutions. This course, my 57th collaboration with Pluralsight, is tailored to demystify the complex synergy between distributed ledgers and AI, ensuring you’re adept at harnessing the full potenti ..read more

I recently needed to urgently send someone an important document, but I only had a printed copy. Manually retyping the whole thing seemed inefficient. Instead, I took a clear photo and used OpenCV and Tesseract OCR to extract the text automatically. With just a few lines of code, I could transform the printed document into digital text, saving time and effort. Streamlined OCR with OpenCV and Tesseract The key to this simplified OCR approach lies in leveraging OpenCV for image processing and Tesseract for text recognition. Here’s a glance at the Python code: import cv2 import pytesseract # Co ..read more