Alim Mia

Learn how to use the grouping sets, cube, and rollup functionality in SQL by following along Tom Reid's beginner-friendly tutorial.

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Hyperscale elastic pools for Azure SQL Database helps to optimize price and performance by pooling resources like CPU, memory, and IO. They ensure strong security isolation between databases, offer superb reliability, great performance, and scalability, and provide excellent value for money.

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Discover the power of Databricks SQL and Dashboards with guidance from Andrew McQueen and Tyler Faulkner of Xorbix at our "Exploring Data Warehousing" session. 📅 Join the Wisconsin Databricks User Group on September 12, 2024, from 5:30 pm to 7:30 pm. Learn more and register: https://lnkd.in/dXrT3KmX Elevate your knowledge and network with fellow data professionals. #DataWarehousing #Databricks #AI #DataScience #Networking

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Discover the power of Databricks SQL and Dashboards with guidance from Andrew McQueen and Tyler Faulkner of Xorbix at our "Exploring Data Warehousing" session. 📅 Join the Wisconsin Databricks User Group on September 12, 2024, from 5:30 pm to 7:30 pm. Learn more and register: https://lnkd.in/dXrT3KmX Elevate your knowledge and network with fellow data professionals. #DataWarehousing #Databricks #AI #DataScience #Networking

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What does it actually look like in practice for data teams to *proactively* prevent data quality issues? A proactive data quality strategy is governed by 3 key principles: 1. Shifting data testing to the left: Test early and often during the development cycle. 2. An essential data checklist before shipping code and data changes: Are your data changes acceptable and expected? What’s the downstream impact of your code change? How will it affect your infrastructure? 3. Leveraging automation: Do away with manual QA tests by automating checks during your CI process. With testing workflows that make sense, checklists against errors, and an automated data quality system orchestrating everything, sit back and watch your developer velocity increase without sacrificing data quality. For more proactive data quality testing information, check out our new Data Quality Guide 👇 https://lnkd.in/gBEH-eAU

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One of Fortified Data's managed services clients, Alveo Health, was struggling with SQL Server query lag and overall degraded performance issues. Fortified Data not only solved the issue, but also provided key recommendations' to improve stability, scalability, and capabilities. We improved and stabilized their server environment, but also saved time for their team. This allowed Alveo Health more time to hone in on their core business problems. Read the full case study: https://bit.ly/3yICMbE #managedservices #databasemanagement #SQLServer #casestudy #data #datamanagement

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🚀 Exciting Announcement from Databricks! 🚀 General Availability of Lakehouse Federation - Discover, query, govern all your data - no matter where it lives. Lakehouse Federation addresses these critical pain points and makes it simple for organizations to expose, query, and govern siloed data systems as an extension of their lakehouse. With these new capabilities, you can: Build a unified view of your data estate: Automatically classify and discover all your data, structured and unstructured, in one place and enable everyone in your organization to securely access and explore all the data available at their fingertips - no matter where it lives. Query and combine all data efficiently with a single engine: Accelerate ad hoc analysis and prototyping across all your data, analytics and AI use cases on the most complete data - no ingestion required - with a single engine. Advanced query planning across sources and caching ensures optimal query performance even when accessing and combining data from multiple platforms with a single query. Safeguard data across data sources: Use one permission model to set and apply access rules and safeguard all your data across data sources. Apply rules like row and column level security, tag-based policies, centralized auditing consistently across platforms, track data usage, and meet compliance requirements with built-in data lineage and auditability. #Databricks #DataScience #BigData #Serverless #Innovation #DataEngineering #MachineLearning #DataAnalytics https://lnkd.in/gdiTbJMU

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If you are a SQL Server DBA considering a switch to PostgreSQL, this podcast is for you. We talk with Ryan Booz, PostgreSQL Advocate at Redgate, about his experience making this transition, the terminology, tools, and tricks, as well as the community, and key aspects to consider if you are going to take a dive into the world's most popular open source database.   Carlos L Chacon Kevin Feasel Eugene Meidinger

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Reduce your Report creation time with copilot for DAX management.

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