Dmitriy Ushakov

Looking to set up a production-ready pipeline from scratch using #Kafka and #Snowflake, the essentials of modern #data pipelines? Read about our best practices in the #Atlantbh blog by Darko Kojović 🔗 https://lnkd.in/dH6MVY-u

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#Kafka and #Snowflake are almost essential to every modern #data pipeline. What should you use for streaming large amounts of data and what is the best choice for processing? Darko Kojović shares experience with Kafka Connect in a new #Atlantbh blog 👉 https://lnkd.in/dexDXJTC

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How to build a Data Lake? I had a fantastic conversation with Olegs Kosels, Enterprise Data Architect at Jamf, on The Ravit Show. We discussed some key topics around Enterprise Data and AI, focusing on the practical challenges and opportunities. Olegs shared insights on how he built a Data Lake and how Jamf is using Dremio to streamline their data processes. We also discussed the overall data journey at Jamf and Olegs’ thoughts on the future of Data and AI. Link to the complete interview in the comments 👇 #data #ai #bigdatalondon2024 #theravitshow

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What is the AI Lead Refinement Agent, and how does it work? This #AIAgent processes and enriches lead data by creating detailed profiles that are segmented based on specific needs, improving the precision of targeted outreach. Learn more about the AI Lead Refinement Agents in our latest blogpost. Find the link in the comments. #dealcodeAI #AIinSales #AIAgent #LeadRefinement

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🔍 Discover the Power of Explainable AI with Time Series Data!   Join us for this engaging online session with Jan Šturm from the Jozef Stefan Institute to uncover the tools and techniques that bring time series data to life. Perfect for anyone in #DataScience, #AI, or anyone interested in visualizing complex data for better insights! 🗓️ Monday, November 11 ⏰ 10:00 - 11:00 CET 🎟️ Free Registration here! 🔗 https://bit.ly/4hB2u3L   #FAME #WebinarSeries #ExplainableAI

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Timescale Brings PostgreSQL into the GenAI Era with pgai Vectorizer https://lnkd.in/d6ztruWW #BigData #GenAI #pgaiVectorizer #PostgreSQL #Timescale

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🚀 Excited to share how Large Language Models (LLMs) are revolutionizing data integration! Discover how they map tabular data to ontologies, making data management smarter & more efficient🔥💡 Read our new blog post: https://shorturl.at/BwkN2 #AI #LLMs #DataScience #Ontologies

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How can targeted training advance your machine learning expertise? Meet Alexander Kazakov, an OCR developer at Megaputer Intelligence, who joined Nebius Academy to explore new trends and techniques. What stood out to him? ✔️ A fresh, clear perspective on complex topics ✔️ Access to experts who provide quick and detailed support ✔️ Practical assignments to immediately apply new skills Discover more in the slides! 👉 Our new Practical Generative AI cohort starts in just a few days. Explore the program: https://lnkd.in/ePtTgxnw

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Building a strong data engineering team is the foundation of a successful SaaS application. Read Andrey Torchilo's latest article and learn how to assemble a team of skilled professionals, from data engineers to machine learning experts. https://hubs.ly/Q02XGKJK0 #dataengineering #datascience #saas #bigdata #dataanalytics #tech #softwareengineering #cloudcomputing #machinelearning

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“Solving Data Management Challenges in Third-Party Logistics (3PL) Spaces – with Vladimir Gofaizen of Wineshipping” https://lnkd.in/d5ejWjM8 In a wide-ranging interview with Emerj Artificial Intelligence Research, Vladimir Gofaizen, Director of IT Engineering at Wineshipping, shares his experience with the growing pains of scaling modern data platforms like Databricks or Snowflake. He explains how his team navigated performance, disaster recovery, and best practices challenges while managing 15 terabytes of data across systems that required near-live access. With expert support, Vladimir’s team overcame these hurdles, achieving efficient and reliable data integration. #AI #DataArchitecture #Logistics #SupplyChain #DataStrategy #DigitalTransformation #DataManagement #CloudPlatforms #DataEngineering #PerformanceOptimization #DisasterRecovery #OperationalEfficiency #Wineshipping #NLPLogix #Innovation

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🤔 Wondering how top companies master MLOps? 👉 Get the answers from Max Ushchenko and other top experts at the AI & Big Data Expo World Series panel discussion! On October 2, NIX’s Head of Data Practice will dive into "MLOps Excellence: Best Practices for Managing Data, Models, and Integrations." This is your chance to gain insights into the strategies driving the most successful AI initiatives 😃 ⏰ Time of the discussion: 12:10-12:50 PM 😉 Be there for actionable takeaways on optimizing MLOps in your organization. Don't miss out! See you at the panel discussion! #BigDataExpo #TechEx #AIExpo #MLOps

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Manual data entry is costly, requires effort, and still needs complex quality control processes set in place. It is no wonder then that AI-powered data extraction tools have revolutionized the landscape. Tech Journalist Casimir Rajnerowicz has done a deep dive into the most popular data extraction tools of 2024. Link in comments. ⬇️ #DataExtractionTools #Software #DataExtraction

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🚚 If you missed our live session on "Democratizing AI and Big Data Analytics for Trucking Operations," don’t worry! We’ve got you covered with the full recording. Join Peter Stoyanov and Dimitar Pavlov as they dive into how AI and Big Data are revolutionizing the trucking industry. They shared invaluable insights on implementing these technologies to boost efficiency and overcome industry challenges. 💡Whether you’re aiming to enhance your fleet operations or just beginning to explore what AI and Big Data can do for your business, this webinar is packed with valuable information. #Trucking #Logistics #AI #BigData #Transmetrics #Webinar #SupplyChainManagement

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Whether you need basic pattern matching or complex data encoding and decoding, binary matching in #ElixirLang can make your data processing more efficient: 📝 https://loom.ly/aQ5oNXE #MyElixirStatus

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Benchmark Battle: ArangoDB vs. Neo4j 💡 Discover how ArangoDB's Graph Analytics Engine (GAE) delivers up to 8x faster performance on graph computation tasks compared to Neo4j! 🔍 Read the full benchmark breakdown in our blog - https://okt.to/3pWlwI #GraphDatabases #ArangoDB #Neo4j #DataScience #GraphAnalytics #BenchmarkResults #TechInsights

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“Solving Data Management Challenges in Third-Party Logistics (3PL) Spaces – with Vladimir Gofaizen of Wineshipping” https://lnkd.in/d5ejWjM8 In a recent interview for Emerj Artificial Intelligence Research, Vladimir Gofaizen, Director of IT Engineering at Wineshipping, emphasizes the importance of a unified data platform as more than a tool for consolidating sources. Instead, it serves as the foundation for scalable collaboration and faster integration of data across systems. Moving beyond legacy systems, Vladimir highlights the need to democratize data access and involve stakeholders earlier in the process, ensuring long-term sustainability and operational efficiency: #AI #DataPlatform #Logistics #BigData #DataManagement #Innovation #DigitalTransformation #LegacySystems #Collaboration #OperationalEfficiency #CustomerExperience #DataEngineering #DataStrategy #Wineshipping #NLPLogix

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