“Slim has always been a very competent engineer and an enjoyable person to work with. As a team member, he was an invaluable asset which allowed us to successfully reach our objectives. He's got very strong skills in both technical and functional fields which is quite rare to find in a company. I would recommend him to anyone looking for a brilliant person able to learn new technologies and methodologies rapidly, and being able to conduct a project on his own.”
About
Hands-on Data Engineering Leader with over 12 years of experience designing and…
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Oveet
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The Oveet project is a social network designed to bring together a community of people around an event and the same passion. For this we use a rich interface and innovative techniques such as geolocation to improve the user experience and its community aspect.
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Enqurious Academy
🔐 Understanding Encryption Key Hierarchy in Snowflake 🔑 Ever wondered how Key Hierarchy works to secure your data in Snowflake? 🌐 Snowflake uses a powerful multi-layer encryption architecture to ensure your data remains secure at every level. To learn how the Key Hierarchy operates and gain a clear understanding, check out this video 📽️: 👉 https://lnkd.in/gnsCM5Uc This video simplifies the concept and explains the hierarchy in detail. Don't miss it! 🚀 For more such content Follow Enqurious (formerly Mentorskool) Enqurious Academy Subscribe to https://lnkd.in/g9M_ZZDV #Snowflake #DataSecurity #Encryption #CloudData #KeyHierarchy
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5minsnowflake Newsletter
Exploring the fundamentals of dbt with Snowflake can open new doors for enhancing your data transformation processes. Did you know that incorporating dbt can streamline your workflows and improve your team's productivity? In this article, we cover key concepts and practical applications, equipping you with the knowledge to implement dbt efficiently. The integration of these technologies not only enhances your data management strategies but also fosters a collaborative environment within your team. What implications do you see for your own projects by leveraging dbt with Snowflake? We’d love to hear your thoughts and insights on the subject. #DataScience #MachineLearning #CloudTechnology #Snowflake #dbt #DataAnalytics https://lnkd.in/gb5RuN5y
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Dr. Balaji Muthusubramanian
It was an amazing experience to collaborate with Animesh Kumar to write up this article, from whom I have learnt a lot in the past 3 years! Please read it through and let us know what you think. Follow Modern Data 101 for more such articles. #datastrategy #dataproducts #dataplatform
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Cegeka
#DataEngineering 𝗣𝗿𝗼 𝗧𝗶𝗽𝘀 𝗳𝗿𝗼𝗺 𝗙𝗮𝗯𝗿𝗶𝗰𝗲 𝗗𝗲𝘀𝗲𝘆𝗻, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗖𝗵𝗮𝗺𝗽𝗶𝗼𝗻 Join our colleague, Fabrice Deseyn, for a deep dive into the world of Databricks. In a recent interview with Youssef Mrini on the #NextGenLakehouse YouTube channel, Fabrice shares his insights and journey of becoming a Databricks champion. Beyond his champion status, Fabrice provides expert guidance on navigating Unity Catalog migrations. Discover practical tips and strategies to streamline the process and ensure a successful transition. Watch the video now 👉 https://lnkd.in/e2zFw53p #Databricks
1 Comment -
Semarchy
With Semarchy Data Integration for Snowflake, data connections are simple to build, easy to implement, and scalable to any size. In this eBook, Semarchy data experts breakdown: ❄️ How to get started with Semarchy xDI and Snowflake 🏅 The various benefits of Semarchy xDI 🔍 How to identify your data needs and ways to accomplish them 🤝 Semarchy xDI use cases #mdm #data #datamanagement #dataintegration #snowflake https://hubs.ly/Q02BndRb0
1 Comment -
Semarchy
With Semarchy Data Integration for Snowflake, data connections are simple to build, easy to implement, and scalable to any size. In this eBook, Semarchy data experts breakdown: ❄️ How to get started with Semarchy xDI and Snowflake 🏅 The various benefits of Semarchy xDI 🔍 How to identify your data needs and ways to accomplish them 🤝 Semarchy xDI use cases #mdm #data #datamanagement #dataintegration #snowflake https://hubs.ly/Q02_rgbW0
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Unravel Data
Databricks Users: Start the new year with a bang—explore these free articles designed to help you supercharge your data operations: 🧱 "Databricks Cost Management": Learn strategies to control costs, maximize resource efficiency, and eliminate waste. 🧱 "Databricks Code Optimization": Discover methods to fine-tune code performance, enhance scalability, and reduce processing times. 🧱 "Configuration Management in Modern Data Platforms": Streamline settings, enhance reliability, and maintain consistency across your data ecosystem. Level up your skills and optimize your Databricks environment today! Find the links to these valuable resources in the comments below. #UnravelData #DataEfficiency #CloudOptimization #Databricks
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5minsnowflake Newsletter
Many data professionals encounter challenges when trying to upload CSV data into Snowflake. Fortunately, there’s a clear approach to streamline this process. This article outlines actionable steps to guide you in uploading CSV data to Snowflake using Python, making it accessible for both experienced developers and those newer to the field. The article covers everything from setting up your environment to writing the code that connects your CSV files to Snowflake seamlessly. By following these steps, you will not only enhance your data handling skills but also improve your efficiency when working with data in Snowflake. Learning this process opens doors for better data analytics and insightful decision-making capabilities within your projects. I encourage everyone to explore this guide and elevate your Snowflake expertise. I’d love to hear any tips or experiences you have in uploading data to Snowflake. #Snowflake #DataScience #Python #DataEngineering #CSVUpload https://lnkd.in/gYTMzWSG
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5minsnowflake Newsletter
Are you looking to make the most of static data in your data warehouse? Understanding how to leverage dbt seeds can be a crucial step for data teams aiming to enhance their analytics capabilities. This article provides a comprehensive guide on integrating static data effectively, ensuring your data models are robust and highly functional. To get started, consider the following actionable tips: 1. Assess your data requirements - Determine which static datasets are essential for your business processes. 2. Utilize dbt seeds - Import your static data into dbt, enabling seamless integration with your existing workflows. 3. Document your approach - Maintain clear documentation for your team to enhance collaboration and ensure everyone is aligned. By implementing these strategies, you'll experience improved data accessibility, leading to better decision-making and ultimately driving value for your organization. We’d love to hear your thoughts and experiences with dbt seeds. How have you integrated static data into your workflows? #DataScience #MachineLearning #CloudTechnology #DBT #DataWarehouse #DataStrategy https://lnkd.in/gu_4UZAJ
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PredictHQ
Ready to improve forecasting by 20%? Quickly connect Snowflake’s new #Cortex Forecasting to PredictHQ’s Beam API and Features API to reduce mean absolute percentage error (MAPE) by 20%. Plus, get ready for even deeper explainability with our Events API coming soon to Cortex. Watch the demo where PredictHQ Chief Data Officer Dr. Xuxu Wang shows you how it works 👇 https://lnkd.in/ekR_xWZq #demandforecasting #predictiveAI
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Midhun Mathew
Boosting Power BI Performance with Azure Databricks through Automatic Aggregations For data engineers tackling massive datasets, the integration of Azure Databricks with Power BI Automatic Aggregations redefines efficiency in large-scale analytics: - Databricks for Multi-Terabyte Processing: Handles raw data ingestion and transformations at scale, ensuring the data is ready for analysis. - AI-Driven Automatic Aggregations: Power BI leverages AI to detect query patterns, caching intelligently to accelerate DirectQuery models and minimize backend queries. This approach overcomes the limitations of Import and Direct Lake modes for large datasets. - Sub-Second Performance: Achieve near-instant query response times on Power BI without needing to query the entire dataset, making it possible to build real-time analytics solutions on multi-terabyte data. With this integration, data teams can maintain efficient, scalable BI performance while bypassing the usual complexities of tuning DirectQuery models. Explore the blog to dive deeper into this approach! https://lnkd.in/gqUgpNXN #AzureDatabricks #PowerBI #AutomaticAggregations #DirectQuery #DataEngineering #BigData #DataOptimization
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Sigma
Unlock Data Democratization with Sigma on Databricks! 🚀 Break free from data silos and outdated tools with our new eBook, "Data + AI Democratization Without Data Sprawl". Whether you’re a data engineer or a business user, discover how to make data accessible and actionable across your organization. 🔑 Inside: strategies to overcome data challenges, simplify architectures, and harness AI for a competitive edge. Transform your organization into a data-driven powerhouse. Download our free eBook and elevate your data journey! #DataDemocratization #Sigma #Databricks #ModernDataStack https://lnkd.in/gqJM8h6d
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Ed Pollack
#SqlSatBoston is in just 1 week! Join me and many other speakers, attendees, volunteers, and sponsors in Burlington, MA on October 5th! https://lnkd.in/eMDzgYGq I'll be speaking on Database Design and Retention: Timeless topics that continue to influence all of our good (and bad) decisions in data! See you there! #SqlFamily #Data #Sql #SqlServer #FreeTraining #Boston
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MotherDuck
🚨 Is your data engineering workflow holding you back? 🚨 MotherDuck and Dagster Labs are teaming up to discuss the secrets of modern data engineering. We'll cover: - Crafting an end-to-end data platform with Bluesky data, MotherDuck, and Dagster - Proactively solving problems with "shift-left" testing to catch issues early - Practical automation strategies to streamline your workflow and boost productivity 📅 January 14th ⏰ 9:00 AM PT ☑️ Registration link in the comments
1 Comment -
Qualdo™ - Monitor Data Reliability on Cloud
Is poor-quality data disrupting your data teams’ success? 🚧 Bad data affects business performance & productivity. So, what’s the impact? 🔸 BI/Analytical Errors: 5-10 errors/month, 40% productivity loss, $10K-$15K per team. 🔸 Data Pipeline Failures: 3-4 errors/day, 40% productivity loss, $10K-$15K per team. 🔸 Unknown Reliability Issues: 3-4 errors/quarter, average annual impact of $12.8M or 1% of revenue. How to Evaluate ROI: Compare manual monitoring costs with automated tools! 🔸 Manual Costs: High productivity losses and error impacts. 🔸 Automated Costs: $1K-$10K/month, providing 3-4 years of return on investment. Optimize your data reliability investment. Discover how Qualdo-DRX can enhance your data reliability and grow your ROI. 📈 Visit now: www.qualdo.ai/drx #DataReliability #RODRS #DataQuality #BusinessPerformance #CloudData #DataMonitoring #DataManagement #InvestInData
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Pynest
🚀 Unlock the Secrets of Efficient Data Management! 🚀 In today’s fast-paced data-driven world, choosing the right approach to structuring your data is critical. Whether you're working with disparate datasets or handling massive tables, understanding Snowflake and Star architectures can be the key to reducing complexity and improving performance. 💡 In our latest video, we break down: 🔹 How to organize your data using Snowflake schemas for resilience and versatility 🔹 The pros and cons of Star schemas and how they simplify analytics 🔹 Expert tips for navigating the challenges of both models 👉 Don't miss out! Watch the full video on our YouTube channel to master these essential data strategies: https://lnkd.in/dfP4etuP #DataManagement #SnowflakeSchema #StarSchema #DataArchitecture #TechTips #Pynest
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