Dmitriy Ushakov

Being a data engineer is both an art and a science—a blend of creativity, problem-solving, and technical wizardry. Having spent many years in the field, Andrey Torchilo knows firsthand what a typical day in the life of a data engineer looks like, and he shares his experience in his latest article. Read it here: https://hubs.ly/Q02Qn-n70

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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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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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Can You Trust Those Charts? Răzvan Ipate, our data analyst, not only unveils lies behind the reports but also spots them and even prevents them as data experts. Learn how to be a more critical viewer of data visualizations in this new episode of DevCast. 👇👇👇 Watch the full episode https://lnkd.in/d_nnuUqG #leadingintech #datavisualization #levininers #dataanalytics

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The efficiency and flexibility of ETL processes can make or break your #analytics strategy. Learn how to create customized, high-performing #data pipelines and real-time data processing using #Snowflake features 👇 Read the complete guide in the #Atlantbh blog by Nedim Badzak 🔗 https://lnkd.in/eW3Wh26N

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WorFBench: A Benchmark for Evaluating Complex Workflow Generation in Large Language Model Agents Large Language Models (LLMs) have shown remarkable potential in solving complex real-world problems, from function calls to embodied planning and code generation. A critical capability for LLM agents is decomposing complex problems into executable subtasks through workflows, which serve as intermediate states to improve debugging and interpretability. While workflows provide prior knowledge to prevent hallucinations, current evaluation benchmarks for workflow generation face significant challenges. Read the full article: https://lnkd.in/eqv7pQCt Paper: https://lnkd.in/eWDxh6Vz

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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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🚀 Transform Your ML Workflows with MLOps! Our Data Science Leader, Jakub Dubowik, and Senior Data Science Engineer, Radek Suwała, are ready to share their expertise in leveraging MLOps to solve real-world business challenges. 📈 Join our free webinar on December 11 to learn how to streamline your machine learning workflows and implement cloud-agnostic solutions across #GCP, #Azure, and #AWS. We’ll showcase practical strategies, best practices, and real-world case studies to help you overcome ML deployment challenges. 📅 Don’t miss out! Register here and take your ML workflows to the next level! 👉 https://buff.ly/3Zl4fK7 #Webinar #MLOps #MachineLearning #AI #Workflow

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🚨 New blog post alert: https://lnkd.in/g9h8Sdy8 Achieve superior data observability with DQLabs: semantic layer integration for precise anomaly detection, detailed data tracking, and improved metadata management. #DQLabs #moderndataquality #dataquality #dataobservability #datagovernance #Semantics #GenAI

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Discover how AI is transforming the reporting landscape and enhancing decision-making processes. 🔗 Read the full blog here: https://lnkd.in/dx-EnzWP #AI #AiExtensive #Reporting #DataDriven #BusinessIntelligence #Innovation #DecisionMaking #RMPS #RMPSCo

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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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🚀 Gone are the days of manually checking potential dataset errors for your NLP projects! 🕵️‍♂️ Datasaur's latest release, Label Error Detection, evolves data labeling by automating error identification and providing better alternatives. 🛠️ You're just a few clicks away from high-quality datasets because, with us, it's always that easy! 💪 #MachineLearning #DataLabeling #NLP #Datasaur

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Why is DataWalk perfect for managing large graphs that don't fit into RAM and for workflows requiring incremental data loading? Check out the benchmark study by our colleague Łukasz Łaszczuk https://lnkd.in/dCnuhqMF #knowledgegraph #benchmark

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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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In the domain of machine learning, ‘clf’ stands for classifier. Read more 👉 https://lttr.ai/ASUf7 #MachineLearningRepresents #IntegratingComputationalIntelligence #RealWorldApplications #TransformativeJourney🚀 #GoldenKey🗝️ #ProjectsDiveDeep #Champion🏆— #SupportVectorMachines #DeriveMeaningfulClassifications #DistinctClassesBased

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𝐎𝐧 𝐎𝐜𝐭𝐨𝐛𝐞𝐫 𝟏𝟕𝐭𝐡, btProvider, and Tableau hosted a dynamic event in Bucharest, showcasing how AI-powered analytics can drive growth and innovation. From an energizing breakfast to deep dives into AI innovations, attendees experienced firsthand how 𝐓𝐚𝐛𝐥𝐞𝐚𝐮’𝐬 𝐀𝐈 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬, 𝐥𝐢𝐤𝐞 𝐓𝐚𝐛𝐥𝐞𝐚𝐮 𝐏𝐮𝐥𝐬𝐞 𝐚𝐧𝐝 𝐓𝐚𝐛𝐥𝐞𝐚𝐮 𝐀𝐠𝐞𝐧𝐭, transform how companies visualize, analyze, and predict data trends. 📊 This hands-on event highlighted the importance of fostering a strong data culture, empowering businesses to stay ahead even in challenging times. 📈 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐛𝐞𝐥𝐨𝐰 𝐭𝐨 𝐬𝐭𝐚𝐲 𝐮𝐩𝐝𝐚𝐭𝐞𝐝 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬! 🔍📖 https://lnkd.in/dNuUScfH

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Smarten Augmented Analytics with NLP Search Capability Including Rank and Polarity Analytics https://bit.ly/3BGn2FM #Smarten #NLP #RankandPolarityAnalytics #Analytics #AugmentedAnalytics #NaturalLanguageProcessing

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Smarten Augmented Analytics with NLP Search Capability Including Rank and Polarity Analytics https://bit.ly/3BGn2FM #Smarten #NLP #RankandPolarityAnalytics #Analytics #AugmentedAnalytics #NaturalLanguageProcessing

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