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JSON Handling and Type Management with Large Datasets in Go -- Ep. 4 is out now! In this episode, Miki Tebeka tackles the complexities of working with JSON data, especially when dealing with extensive datasets and optimizing type management. Here, Miki introduces key strategies for managing large JSON documents, avoiding unnecessary type definitions, and using Go’s encoding/json package to handle custom serialization needs effectively. Things you will learn in this video: ✅ Streamlining JSON Handling: How to avoid excessive type declarations by using anonymous structures and selective decoding for large JSON datasets. ✅Implementing Custom Serialization: Techniques for defining custom JSON serialization in Go with the Marshaler and Unmarshaler interfaces. ✅Managing Mixed-Type Arrays: Strategies to work effectively with JSON arrays containing various data types, ensuring smooth integration with Go’s type system. 📰Watch Now: https://lnkd.in/ghjz58pC Stay tuned for more episodes from Miki Tebeka in this mini series, highlighting Intro to #JSON for Engineers & Managers.🤓 #golang

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The Nearest Neighbor Regressor is powerful, but scaling it efficiently is a challenge. Discover how KD Trees and Ball Trees enhance performance in high-dimensional spaces, making regression predictions smoother. Samy Baladram dives in! #MachineLearning #Regression

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❓ Frequently Asked Questions - OQLIS. The Data Insights People with Robert Kendall & Malandri Jacobs: Q: Can OQLIS share dashboards and embed these dashboards in various applications? A: Yes, each dashboard can be shared and embedded into a public-facing website or application. This is done using an embedded iframe or an API connection string. WATCH 🎞 : https://lnkd.in/ghAKkSnb #FAQ #FrequentlyAskedQuestions #embeddeddashboard

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Discover the power of data versioning in data science. Learn how practice enhances reproducibility, collaboration and data integrity in your projects in this week’s blog: https://buff.ly/45urKTE #DataVersioning #VersionControl #IoA #Blog

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🚀 Enhance Your Data Visualization Skills with Conditional Formatting 📊 Are you looking to make your data presentations more impactful and insightful? Conditional formatting might just be the tool you need! 💡 https://lnkd.in/dae9kx44 🎨 What is Conditional Formatting? Conditional formatting is a feature in spreadsheet applications like Excel and Google Sheets that allows you to format cells based on certain criteria. It enables you to visually highlight important trends, outliers, or patterns in your data effortlessly. 👉 Ready to Learn More? Share your favorite tips or examples of how you've used conditional formatting in the comments below! Let's inspire each other to make our data presentations shine! 💬✨ #DataVisualization #ExcelTips #GoogleSheets #ConditionalFormatting #DataAnalysis #LinkedInLearning #ProfessionalDevelopment

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DataKitchen DataOps Data Quality TestGen: Elevate Your Data Quality Leadership Now Data Quality Leaders are often caught in a struggle—overlooked, underappreciated, and battling to make lasting change. But what if there was a way to shift this narrative? What if you could stop being seen as the ‘data nag’ and instead become a value-driving force in your organization? DataKitchen’s Open Source DataOps Data Quality TestGen: your new superpower to effect change at scale. Agile, DataOps-Powered Process: Enhance your data quality efforts with a flexible, fast, and scalable DataOps approach. Build automated testing and continuous monitoring that fits seamlessly into your workflow. AI-Generated Data Quality Testing: Automatically generate and deploy high-quality tests, scoring your data quality to pinpoint issues before they snowball. Measurable, Real, Tangible Impact: It’s not just about spotting data quality problems—TestGen helps you actively drive improvements aligned with your organization’s objectives, proving your value with measurable results. Simple, Easy Installation: No hassle. Whether on your laptop or server, TestGen features an intuitive UI designed to make installation and operation smooth and quick. Why Wait? Start Now Our full-featured, open-source software is available for you to install today. If you’re ready to transform how your organization views data quality—if you’re ready to elevate your impact—DataKitchen DataOps Data Quality TestGen is the tool for you. Download now and start leading the charge to better data, better decisions, and better business outcomes! https://hubs.ly/Q02QvlxZ0

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💡 With solid data validation processes, you can fuel innovation and build resilience in the face of constantly evolving challenges. But what is data validation? And how does it work? Learn everything you need to know about data validation here: https://buff.ly/4aP6qcA #datavalidation #dataonboarding #datamanagement #data

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With self-serve analytics, you can empower everyone in your company to go from data to decisions. Our VP of Analytics Adam Kinney explains how we do it at Mixpanel 👇 https://lnkd.in/dUeb4mDe

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Heads up, Tableau community! BabelViz is launching on Product Hunt next week. Need to translate Tableau dashboards automatically? You may find BabelViz useful. Translating-into-over-150-languages-automatically type of useful 😀 Link in comment for PH's coming soon page.

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New Post: Subquery vs. Correlated Subquery: What’s the Difference?

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This week in our blog, we continue our series on Machine Learning Operations (MLOps) with a very interesting blog post about building an end-to-end MLOps pipeline with Databricks and GitHub Actions. Read it now! https://hubs.la/Q02zCl2J0 #data #analytics #machinelearning #mlops #databricks #github

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dbt + Databricks: SQL based ELT Using SQL for data transformation is a powerful way to empower an analytics team to create their own optimized data model. However, applying best practices like version control and data tests is often skipped. dbt is an open source tool to apply engineering best practices to SQL based data transformations, giving you more confidence in your ELT pipeline. This talk provides an introduction to how dbt helps with SQL based ETL and guidance on using dbt with Databricks SQL Warehouse. We will cover patterns using dbt Cloud with Databricks as the processing engine.

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📊 Level up your data game! Discover the top 10 chart types for effective data visualization and learn how to make your financial data speak volumes 📈💡 https://buff.ly/4f3dftZ

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