Raafat Zarka

From mastering SQL to learning how to defend your data-backed findings, Damien Azzopardi shares five key takeaways for data scientists who are just entering the profession.

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Matillion Democratizes GenAI with No-Code Cortex Components on Snowflake AI Data Cloud https://lnkd.in/dvJ6mq5d #DataCloud #GenerativeAI #Matillion #NoCodeCortex #Snowflake

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📊 Hear from one of our Open-Source Engineers on unlocking valuable insights and cheap metrics from datasets! 📊 Dive into the world of data efficiency with our latest article on observing Spark aggregates. Discover powerful techniques to optimise your data processes and drive smarter decision-making. https://lnkd.in/eJKbdgnS #OpenSource #DataScience #Spark #Analytics

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Are you a data engineer wanting to better understand the capabilities of the Data Lakehouse with Databricks? Our one-day course is for you! Held in our office at London, we'll get you hand-on with Databricks and cover all the main aspects you need to know to get started, including: 🤔 Why the Lakehouse? 📑 Basic Reading, Transforming and Writing 🤝 Governing with Unity Catalog + Feature Overview Spaces are limited so we're using a waitlist system. Register here: https://hubs.la/Q02PFnXC0 #Databricks #DataLakehouse #DataEngineering #SQL #UnityCatalog

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In part 2 of our Snowflake Cortex series, Christopher Marland, a recognized Snowflake Data Superhero, delivers a tutorial on the COMPLETE function in Snowflake Cortex AI. This function allows you to integrate LLMs into your SQL queries, offering a new level of AI-driven data interaction within Snowflake. Whether you’re looking to enhance your AI models or explore new ways to leverage Snowflake’s capabilities, this video is a must-watch for any data professional aiming to optimize their data strategies with Snowflake Cortex AI. 👉 Watch the video today: https://lnkd.in/ecPjf8f3

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KL Databricks How to Series: Create and Configure Databricks Clusters    In this quick demo, we guide you through the essential steps to set up and configure Databricks clusters. From workspace access to optimizing runtime performance and selecting the right node types, this tutorial simplifies the process. Whether you're new to Databricks or refining your existing setup, this video will enhance your workflow and improve performance. Watch now and streamline your data processing with Databricks! For any inquiries, contact us at [email protected]    Recommended: How to set up and optimize Databricks workspace: https://lnkd.in/e6FkSZtC   #CloudComputing #Databricks #DataAnalytics #TechInnovation #DigitalTransformation #BigData #AI #CloudSolutions #DataEngineering #BusinessTransformation #FutureOfWork #TechTips #DataProcessing   Kadel Labs

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Kumo helps data scientists build highly accurate predictive AI models that predict user and customer behavior by combining graph learning over enterprise data and generative AI models trained on public data—all entirely within Snowflake. If you want to create better machine learning models faster with Kumo, try our Snowflake Native App now. 🔗 You can request a free trial at the following link: https://hubs.ly/Q02HgQ1P0. If you need additional support and more details, contact us. We'd love to get in touch with you and help you query the future: https://hubs.ly/Q02HgGvG0. #AI #MachineLearning #PredictiveModels #DataScience #GraphLearning #GenerativeAI #Snowflake #TechInnovation #KumoAI #FutureOfData

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Billigence’s expertise, combined with Tableau’s world-class visualisation tools, helps businesses turn raw data into meaningful insights. Whether you’re building dashboards or driving data-backed decisions, we’re here to ensure your data strategy delivers results. Let Billigence and Tableau be your partners in data transformation. Learn more here: https://lnkd.in/gH25FWit

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Gartner predicts that by 2026, 50% of enterprises will have adopted data observability tools.  Don’t wait until it’s too late - start optimising your data architecture now and unlock the power of near real-time monitoring, faster issue resolution, and better data quality. Let’s discuss how observability can transform your data strategy → [email protected] & [email protected]  #DRInsight #cybersecurity #data #analytics

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Discover the power of metadata management in Databricks with Apache Hive Metastore (HMS). In his latest blog, "Hive Metastore (HMS) and hive_metastore in Databricks", Gentrit Mehmeti explores how Hive Metastore supports large-scale data organization and enhances compatibility with Apache Spark. Gentrit also highlights the evolution of data governance with Unity Catalog, which offers advanced features like auditing and improved access control, shaping the future of data management. Learn how mastering metadata is key to handling today’s data complexity. 🖇 https://lnkd.in/dZrvDnnc #DataManagement #Databricks #ApacheHive #Metadata #UnityCatalog #CloudComputing #ApacheSpark

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Excited to share that I have successfully passed the new Databricks Generative AI Engineer Associate certification! 🎉 Excellent training course and certification covering core concepts to design, implement and evaluate LLM-enabled solutions using Databricks. Check-out the self-paced training (available in Databricks Academy): Generative AI Engineering With Databricks #genAI #Databricks

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Now on Databricks Runtime 14.3: the State Reader API, a new capability that allows users to access and analyze Structured Streaming's internal state data. Discover how this new capability is providing much-needed transparency, accessibility, and ease of use: https://dbricks.co/3UeoF6l

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Unlock the full potential of computer vision with LandingLens in Snowflake. From data governance and privacy to streamlining vision tasks and scaling solutions—LandingLens provides an end-to-end platform that meets your needs across all industries. Keep your data in Snowflake and scale effortlessly within your organization. Learn more and get started today! https://lnkd.in/gf8JKvKn #ComputerVision #AI #DataGovernance #Snowflake

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In case you missed it 👀 Our very own Principal Data Engineer and Databricks Solution Architect Champion Dylan Ford created a guide into the world of DataOps, from foundational concepts to implementing best practices. In it, he shows you how to: ✅ Optimize data workflows ✅ Enhance cross-team collaboration ✅ Ensure the quality of your data assets 👉 Dive into Dylan's expert insights and embark on your DataOps journey in his blog post: https://lnkd.in/gGbHTFX6

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Unlock the power of centralized data to gain deeper insights into your customers—their buying behavior, preferences, and needs. Learn how Snowflake's fully managed, easy-to-use platform, helps lower operating expenses while accessing scalable computing and storage solutions that grow with your business. Empower your team with the tools to drive smarter decisions and elevate your customer experience. As a Premier Service Partner of Snowflake, we transform raw data into actionable insights that drive growth. Our data and AI expertise combined with Snowflake’s power deliver scalable and efficient solutions: https://lnkd.in/dzHUWZGJ Commonwealth Bank #DataAnalytics #AI #BusinessGrowth #Hoonartek #SnowflakePartner #Snowflake #Data #AI #DatatoAI #BigData #CloudComputing #DataSolutions #DataDriven #CommBank

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Built on top of the Snowflake AI Data Cloud, iceberg tables are helping enterprises handle large-scale data workloads efficiently. In this lab you will learn hands-on how to use Large language models on an open lakehouse architecture with Snowflake Cortex and Apache Iceberg tables and how to: Create a Snowflake-managed Iceberg table that stores product reviews dataset Run Snowflake Cortex AI LLM function to predict sentiment Improve query performance, resource allocation, and overall efficiency when working with large datasets.

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