Soheil Pourbafrani

𝐔𝐧𝐥𝐨𝐜𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐃𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞: 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐂𝐨𝐫𝐭𝐞𝐱 𝐢𝐧 𝐒𝐅𝐒'𝐬 𝐐𝐮𝐨𝐭𝐢𝐞𝐧𝐭™ Imagine querying your financial data using simple English. No complex SQL, no technical jargon – just asking questions naturally and getting instant insights. That's the power of Snowflake Cortex Copilot Analyst in SFS's Quotient™ platform. Key Takeaways: ✅ 𝐄𝐟𝐟𝐨𝐫𝐭𝐥𝐞𝐬𝐬 𝐃𝐚𝐭𝐚 𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Interact with your data like never before using natural language queries. ✅ 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: Automate complex tasks and gain valuable insights from user activity data. ✅ 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬: Identify usage patterns, benchmark performance, and optimize resources for better decision-making. Learn how SFS leverages Cortex Copilot Analyst to transform the way financial professionals interact with data. Read the full text written by Ilyas Mohammad 𝐌𝐚𝐬𝐞𝐞𝐝 from kipi.ai on our website by clicking the link: https://lnkd.in/gSay66Jm #Snowflake #DataCloud #AI #DataScience #FinancialModeling #Quotient #Kipi.ai #CortexCopilot

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"In this article, I will address the key challenges data engineers may encounter when designing streaming data pipelines. We’ll explore use case scenarios, provide Python code examples, discuss windowed calculations using streaming frameworks, and share best practices related to these topics." by Mike Shakhomirov MBA

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Jupyter Releaser is an automation tool developed by the #Jupyter team to streamline and standardize the release process across Jupyter projects. Check out this blog post to learn how to use it for your own projects! https://lnkd.in/g23kpBms

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Cube just got even more powerful! 🤯 Now you can use Python & Jinja for dynamic data models, enabling tenant-level customizations, environment separation, data validation, and even generating models from APIs! 🚀 Learn more about Cube's latest features from @RittmanAnalytics:#CubeBI #HeadlessBI #DataAnalytics #ModernDataStack https://hubs.la/Q02FKFzb0

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"RAG is the model that can be designed to generate and retrieve data efficiently, it uses both method generative and retrieval-based model. It can generate content in the way that can be it can combine the generative and retrieval both ways and pull information from a knowledge base or database in real-time." - Muhammad Mujtaba Raza read more about Muhammad's RAG journey in his article in #analystscorner https://lnkd.in/gz_Ed7mK

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𝐇𝐎𝐖 𝐃𝐎𝐄𝐒 𝐈𝐓 𝐖𝐎𝐑𝐊? 🧮 Microsoft Excel offers several lookup functions to search for specific values within a dataset. Some of the lookup functions available include LOOKUP, VLOOKUP, HLOOKUP, INDEX/MATCH, and XLOOKUP.  The LOOKUP function itself searches for a value in a vector or array and returns the value at the corresponding position in another vector or array. 📹Watch ClearPlanner Aron Gahagan walk-through the specifics of how XLOOKUP specifically works and see real examples of how it can be used within program planning and controls. Practical examples showcased include: 1.    Fiscal Period Lookup 2.    Earned Schedule 𝐕𝐈𝐃𝐄𝐎 𝐇𝐄𝐑𝐄: https://lnkd.in/e89d9xNy 🔹ClearPlan is committed to partnering with our clients each step of the way. Learn more about ClearPlan here: bit.ly/3mMu7Q0 #projectcontrols #earnedschedule #microsoftexcel #xlookup #howdoesitwork

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7 commentaires

AI-automated visit summaries are available in seconds with DAX Copilot. Learn more at https://lnkd.in/e86xfcb7

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PRINCIPAL COMPONENTS ANALYSIS (PCA) Curious about how to make sense of complex datasets? Principal Components Analysis (PCA) is your key to uncovering hidden patterns and reducing data complexity! 📊✨ Discover how PCA can enhance your data analysis and drive smarter decisions. 👉 CLICK LINK IN BIO to dive deeper into PCA and transform your data strategy! #DataScience #PCA #PrincipalComponentsAnalysis #DataReduction #MPRW #KEYS #DataVisualization #BigData #Analytics #DataAnalytics #DataDriven #TechInnovation #Efficiency #DecisionMaking #DataSimplification #DataManagement #DataInsights #MachineLearning #AI #TechSolutions #BusinessGrowth #DataStrategy #WRIRK #DataOptimization #DataPatterns #DataTech #InformedDecisions #RESEARCH

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Discover the best practices, techniques, & tools to fully understand your #data in this essential guide to #ExploratoryDataAnalysis for #DataScientists from Towards Data Science . https://hubs.ly/Q02z248D0 👨🏽‍🏫 #DataScience #EDA #MachineLearning

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😩 Is df.resample('M') giving you headaches? Learn why switching to 'MS' could solve your problems and make your code more intuitive. 🐼 Upgrade your pandas skills now:https://buff.ly/47cQC37 #DataAnalysis #pandas

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🚀 𝗟𝗶𝗺𝗶𝘁𝗲𝗱 𝗧𝗶𝗺𝗲 𝗢𝗳𝗳𝗲𝗿 𝗔𝗹𝗲𝗿𝘁❗ 🚀 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗔-𝗭: 𝗔𝗜, 𝗣𝘆𝘁𝗵𝗼𝗻 & 𝗥 + 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗣𝗿𝗶𝘇𝗲 [𝟮𝟬𝟮𝟰] 𝗼𝗻 𝗨𝗱𝗲𝗺𝘆 - 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗳𝗼𝗿 𝗷𝘂𝘀𝘁 𝗥𝘀 𝟯𝟵𝟵/-❗ Unlock the power of Machine Learning with this comprehensive course, designed to transform you into an expert in no time. 🔍 𝗖𝗼𝘂𝗿𝘀𝗲 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: - Master Machine Learning on Python & R - Develop intuition for various Machine Learning models - Make accurate predictions and powerful analyses - Build robust Machine Learning models - Create significant added value for your business - Utilize Machine Learning for personal projects - Explore advanced topics like Reinforcement Learning, NLP, and Deep Learning - Apply advanced techniques like Dimensionality Reduction - Select the right Machine Learning model for any problem - Combine multiple models to solve complex issues 📖 𝗖𝗼𝘂𝗿𝘀𝗲 𝗗𝗲𝘁𝗮𝗶𝗹𝘀: Duration: 44.5 hours (Lifetime Access)   Level: Beginner Certification: Yes 𝗗𝗼𝗻’𝘁 𝗺𝗶𝘀𝘀 𝗼𝘂𝘁 𝗼𝗻 𝘁𝗵𝗶𝘀 𝗲𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗼𝗳𝗳𝗲𝗿. 𝗘𝗻𝗿𝗼𝗹𝗹 𝗻𝗼𝘄 𝗮𝗻𝗱 𝗴𝗮𝗶𝗻 𝗹𝗶𝗳𝗲𝘁𝗶𝗺𝗲 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝗮𝗹𝗹 𝗰𝗼𝘂𝗿𝘀𝗲 𝘂𝗽𝗱𝗮𝘁𝗲𝘀❗ 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗛𝗲𝗿𝗲: https://lnkd.in/g2S-mZtH #MachineLearning #AI #Python #R #UdemyCourse #OnlineLearning #Upskill #Certification #DataScience #LimitedTimeOffer

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🤔 What key elements optimize data science infrastructure efficiency? Scalability enhances data processing in data science infrastructure. Automation streamlines tasks within data science infrastructure operations. 🌟 Ever wondered about data science infrastructure's role in innovation? 🌐 Join us for data science infrastructure optimization! 💡🏠 Show your support by liking, commenting, and sharing this exciting article. 🌟 For more information: https://lnkd.in/g_FwUMKW 🚀 Explore the potential of data science infrastructure. #india #artificialintelligence #innovation #management #technology #digitalmarketing #creativity #future #markets #startups #socialmedia #AI #DataScienceInfrastructure #DataOps #BigData #DataEngineering #AIInfrastructure #MachineLearning #CloudComputing #DataAnalytics #TechInfrastructure

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In our company, we've discovered that loading data into TM1 models using only TI processes and chores has its limitations, particularly due to the lack of communication between chores. For complex data loading workflows, a more sophisticated orchestration tool is essential. Our tool of choice is Apache Airflow. Apache Airflow is a free, open-source, Python-based ETL orchestrator. It's code-driven, user-friendly, and comes with an excellent web interface. Its asynchronous engine supports parallel execution, ensuring optimal performance. Learn more about our Python-based approach to data loading in TM1. Check it our slideshow or read it or blog post: Blog 👉 https://lnkd.in/dP8KDK-5 Slideshow 👉 https://lnkd.in/gyQakkEt #TM1 #ETL #AirFlow #Python #KnowledgeSeed

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Your contribution for the day ☀️: dbt-labs/dbt-core 👇 Co-founded by Tristan Handy and Drew Banin, dbt Labs aims to empower data practitioners to create and disseminate organisational knowledge. dbt is a data transformation framework for anyone who knows SQL and it helps you build faster and more reliable analytics workflows. Here’s why you should contribute to this repo: 1️⃣ Your contributions help shape the future of how data engineers and analysts transform data, making these processes more efficient and accessible! dbt is at the forefront of defining best practices for data transformation. Engaging with their codebase allows you to hone your skills in modern data engineering, SQL, and version control. This also means you further enhance highly sought-after skills. 2️⃣ dbt has a vibrant and supportive community. Their medium response rate hovers around 70%, and they typically reply to inquiries within 16 hours! This means your contributions are valued and given the time they deserve for review. 3️⃣ With a repo that is growing close to 10,000 stars, you have a wide variety of issues to choose from! If you are a Python developer and want to tackle a portion of their 450+ issues, you will find a well-organized labelling system, including but not limited to "enhancement," "bug," "tech_debt," "user docs," "community," "refinement," etc. If this repo has raised your interest, you can check more of their open-source stats on Quira (https://lnkd.in/e7CZDiD3) or access the GitHub page: https://lnkd.in/d9RDnC7j. 📖

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⏳ Great Tables webinar with Michael Chow from Posit starts in 1 hour! Learn how to create beautiful, interactive data tables directly in Python. Register now and come code along:🐍https://lnkd.in/dB9jsigP #OpenSource #DataScience

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