Shahabudeen J Shah PMP MBA MS

As a proactive SQL Server DBA, Dynamic Management Views (DMVs) are essential for: ✅ Monitoring performance in real time ✅ Troubleshooting live issues quickly ✅ Optimizing query & server efficiency DMVs you’ll likely rely on day-to-day: ⚙️ 1️⃣ Performance Monitoring & Troubleshooting 🔹 sys.dm_exec_requests – Currently executing queries 🔹 sys.dm_exec_sessions – Session-level metrics 🔹 sys.dm_exec_connections – Active SQL connections 🔹 sys.dm_exec_query_stats – Query performance statistics 🔹 sys.dm_exec_procedure_stats – Stored procedure performance 🔹 sys.dm_exec_query_plan(plan_handle) – Retrieve execution plans 🔒 2️⃣ Blocking & Deadlock Analysis 🔹 sys.dm_tran_locks – All active locks 🔹 sys.dm_exec_requests (with blocking_session_id) – Blocked/blocking sessions 🔹 sys.dm_os_waiting_tasks – Lock-related waits 📊 3️⃣ Index & Fragmentation 🔹 sys.dm_db_index_usage_stats – Index usage details 🔹 sys.dm_db_index_physical_stats – Fragmentation analysis ⏱ 4️⃣ Wait Statistics Analysis 🔹 sys.dm_os_wait_stats – System-wide waits & duration 🔹 sys.dm_exec_requests – Wait type/time per request 🧠 5️⃣ Memory & Buffer Analysis 🔹 sys.dm_os_buffer_descriptors – What’s stored in the buffer pool 🔹 sys.dm_os_memory_clerks – Memory usage by internal components 🔹 sys.dm_os_process_memory – SQL Server memory consumption 💾 6️⃣ Disk I/O & File Health 🔹 sys.dm_io_virtual_file_stats – I/O metrics per database file 🔹 sys.dm_io_pending_io_requests – Pending I/O operations 🧩 7️⃣ SQL Agent Job Monitoring 🔹 msdb.dbo.sysjobhistory – Job history details 🔹 msdb.dbo.sysjobs – Job metadata & status 🌐 8️⃣ Always On Availability Groups (AGs) 🔹 sys.dm_hadr_availability_group_states – AG health 🔹 sys.dm_hadr_database_replica_states – Replica state details 💡 Mastering DMVs = mastering SQL Server performance 🔥 Which DMV do you use the most? Let me know in the comments! 👇

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Excited About the Following: 🌟 In the world of healthcare innovation, patient and customer engagement are crucial components that drive progress and transformation. 🔍 The continuous evolution of healthcare technology platforms has opened up new avenues for leveraging data science to enhance patient care and optimize healthcare delivery. 🚀 As a Principal Cloud Solution Architect specializing in healthcare informatics EHR reporting, I am passionate about harnessing the power of generative AI, data analytics, and complex advanced analytics to drive digital transformation in healthcare. 📊 Leveraging data and analytics in healthcare not only improves operational efficiency but also enables personalized patient care and fosters innovation in the healthcare industry. 🔬 It's remarkable to witness how data science is revolutionizing the healthcare landscape by providing insights that were previously unimaginable, propelling us towards a future where technology plays a central role in delivering quality care to patients. 🏥 Healthcare technology platforms serve as the foundation for building a data-driven healthcare ecosystem that prioritizes patient outcomes, streamlines workflows, and ensures the seamless integration of data across various healthcare systems. 🔑 As professionals in this space, it is our responsibility to stay at the forefront of healthcare technology trends and leverage our expertise to drive meaningful change in healthcare through the strategic application of data science principles. 💡 Have you considered the transformative impact that data science, patient and customer engagement, and healthcare technology platforms can have on healthcare innovation and the delivery of quality care to patients? 🤝 If you are looking to embark on a healthcare technology project that leverages data science, enhances patient engagement, or drives healthcare innovation, our team of experts is here to provide advisory services and support every step of the way. Let's collaborate to unlock the full potential of data science and technology in healthcare, shaping a future where cutting-edge advancements drive positive outcomes for both patients and providers. Together, we can pave the way for a healthier and more connected healthcare ecosystem. #DataScience #HealthcareInnovation #HealthTech #DigitalTransformation #Analytics #ArtificialIntelligence #EHRReporting #HealthcareInformatics

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ZULEKHA HOSPITAL just hit refresh on its entire digital backbone—partnering with 𝗢𝗿𝗮𝗰𝗹𝗲 to level up patient care, finance, supply chain & more. 🧠 What’s new: 🔹Oracle Health Foundation EHR = real-time, AI-powered patient data 🔹Oracle Fusion Cloud ERP = streamlined finance ops & decision-making 🔹One integrated system = fewer silos, better care, lower costs 🔗 Read more: https://lnkd.in/d3zphkYn 💬 "We’re committed to improving the patient journey with emerging tech." – Taher Shams, MD, Zulekha This is how healthcare reinvents itself. #DigitalHealth #Oracle #HealthTech #AIinHealthcare #ERP

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We used Azure analytics and custom PowerApps to unify clinical datasets and shorten reporting cycles. By applying industry-specific data models and integrating with hospital systems, we reduced reporting time and sped decision-making through clear, governed datasets. Step 1: map source systems and data standards. Step 2: implement normalized clinical data models. Step 3: deploy Azure pipelines and Power Apps for role-based access and real-time dashboards. The #result: measurable efficiency gains that support faster trials and better operational control. Learn how this approach can work for your organization: https://www.rayminds.com/ #HealthcareIT #Azure #Analytics #ClinicalData #PowerApps

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🌐 Integrating Data Across Clouds – AWS, Azure & Snowflake 🚀 In my projects at CVS Health and American Express, I designed hybrid data architectures to seamlessly integrate multi-cloud data sources — enabling unified analytics across platforms. Here’s how I did it: 🔹 Ingested data from Azure Data Lake, Blob Storage, and SQL DBs 🔹 Processed and transformed data using AWS Glue, EMR, and Lambda 🔹 Loaded curated data into Snowflake via Snowpipe, Streams, and Tasks 🔹 Enabled cross-cloud storage integration with S3 + Azure Blob + Snowflake External Tables 🔹 Managed orchestration with Airflow and automated monitoring with CloudWatch + Azure Monitor 🔹 Secured sensitive data using IAM, RBAC, column masking, and row-level security ✅ This cross-cloud architecture allowed us to unify disparate datasets, cut reporting latency, and ensure HIPAA/GDPR compliance — all while optimizing for cost and scalability. Are you solving challenges across cloud platforms? Let’s share notes! #CloudIntegration #Snowflake #AWS #Azure #DataEngineering #HybridCloud #CrossCloud #DataPipelines #CVSHealth #AmericanExpress #DataSecurity #Compliance

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🔄 SQL Pivot Function in SQL Server: Transform Rows Into Columns Drowning in row-based data? Discover how to find clarity through pivoting. This guide explores the SQL PIVOT function in SQL Server, a powerful tool to reshape your data for better reporting and analysis. You’ll learn how to:  🟣 Turn rows into columns with the native SQL PIVOT  🟣 Build clean, matrix-style reports  🟣 Use both static and dynamic pivoting  🟣 Optimize performance and handle NULLs  🟣 Compare PIVOT vs CASE aggregation Backed by real-world queries using the dbForge Studio for SQL Server, this tutorial is a must-read for SQL pros. 🔗 Read in full: https://lnkd.in/eX8E-PvT  ✅ Download a 30-day free trial of dbForge Studio for SQL Server and start pivoting smarter: https://lnkd.in/ga7QZSgm #Devart #dbForge #dbForgeStudio #SQLServer #MSSQL #SQLGUI #SQLIDE #SQLServerIDE #SQLServerGUI #SQLTools #SQLTutorial #SQLServerTuturial #SQLGuide #SQLServerGuide #SQLServerPivot #SQLPIVOT  

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🧠Healthcare analytics shouldn’t require a data science degree. - Nexus explains data with AI, so teams get answers, not noise - Interfaces stay clean and powerful, no matter who’s using them - Siloed architecture ensures HIPAA compliance at every level 📽️ See why non-technical teams love Nexus #NexusAnalytics #AIHealthcare #HIPAACompliant #DigitalHealth #HealthcareData

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