📖 New ebook from #HolisticonConnect We’re sharing our latest ebook Data Engineering Essentials: Building Scalable Cloud Data Platforms for Biotech. As biotechnology companies generate increasing volumes of data from research, clinical trials, and genomic studies, managing this complexity has become more critical than ever. Transitioning to cloud-based data platforms is no longer just a trend - it’s a competitive advantage. With the right tools, architectures, and processing strategies, organisations can build scalable, secure, and efficient platforms that accelerate scientific discovery while maintaining regulatory compliance and cost efficiency. ➡️ Download the ebook here: https://lnkd.in/dARD7trS 🔍 Get practical insights into: ☑️ Building scalable, secure and compliant data platforms tailored to biotech needs ☑️Choosing the right tools, strategies, and architectural framework for advanced analytics ☑️Leveraging Power BI to transform biotech data into actionable insights. ☑️ Key components of a solid data architectural foundation: explore key frameworks like Databricks, Data Vault, and Kimball’s modelling ☑️ Data processing fundamentals: core components, processing patterns, optimisation strategies, and solutions to common data challenges in biotech. #DataEngineering #CloudDataPlatforms #CloudComputing #HolisticonConnect
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Explore these insights to strengthen your approach to data engineering. Our newest ebook: Data Engineering Essentials: Building Scalable Cloud Data Platforms for Biotech is here! #data #powerbi #databricks #cloud #biotech
📖 New ebook from #HolisticonConnect We’re sharing our latest ebook Data Engineering Essentials: Building Scalable Cloud Data Platforms for Biotech. As biotechnology companies generate increasing volumes of data from research, clinical trials, and genomic studies, managing this complexity has become more critical than ever. Transitioning to cloud-based data platforms is no longer just a trend - it’s a competitive advantage. With the right tools, architectures, and processing strategies, organisations can build scalable, secure, and efficient platforms that accelerate scientific discovery while maintaining regulatory compliance and cost efficiency. ➡️ Download the ebook here: https://lnkd.in/dARD7trS 🔍 Get practical insights into: ☑️ Building scalable, secure and compliant data platforms tailored to biotech needs ☑️Choosing the right tools, strategies, and architectural framework for advanced analytics ☑️Leveraging Power BI to transform biotech data into actionable insights. ☑️ Key components of a solid data architectural foundation: explore key frameworks like Databricks, Data Vault, and Kimball’s modelling ☑️ Data processing fundamentals: core components, processing patterns, optimisation strategies, and solutions to common data challenges in biotech. #DataEngineering #CloudDataPlatforms #CloudComputing #HolisticonConnect
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I'm thrilled to share our latest ebook, "Data Engineering Essentials: Building Scalable Cloud Data Platforms for Biotech." As biotechnology companies generate increasing volumes of data from research, clinical trials, and genomic studies, managing this complexity has become more critical than ever. Transitioning to cloud-based data platforms is no longer just a trend - it’s a competitive advantage. With the right tools, architectures, and processing strategies, organizations can build scalable, secure, and efficient platforms that accelerate scientific discovery while maintaining regulatory compliance and cost efficiency. ➡️ Download the ebook here: https://lnkd.in/gGy7T-pg 🔍 Get practical insights into: 🔍 Get practical insights into: ☑️ Building scalable, secure and compliant data platforms tailored to biotech needs ☑️Choosing the right tools, strategies, and architectural framework for advanced analytics ☑️Leveraging Power BI to transform biotech data into actionable insights. ☑️ Key components of a solid data architectural foundation: explore key frameworks like Databricks, Data Vault, and Kimball’s modelling ☑️ Data processing fundamentals: core components, processing patterns, optimisation strategies, and solutions to common data challenges in biotech. Don't miss out on this valuable resource! 🚀
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Tired of managing data sprawl and fighting data staleness? 🤝 We've got the solution. In our new eBook, "How Sigma Democratizes Data and AI Without the Sprawl," we break down the strategies data engineers, analysts, and BI teams need to: ✔️ Eliminate data silos for faster access to insights ✔️ Empower non-technical users to explore data confidently ✔️ Keep data fresh without constant maintenance headaches If you're looking for a better way to unlock the full potential of your data—without adding complexity—this eBook is your guide. Download it now and start driving value for every team member, no matter their technical skill. #DataDemocratization #Sigma #Databricks #ModernDataStack
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Unlock the Power of Data Science for Your SME with TechEnable As a small or medium-sized enterprise (SME), you have a wealth of data at your fingertips. But are you harnessing its full potential to drive growth and innovation? At TechEnable, we believe data science is no longer just for big enterprises. We're on a mission to democratize data science and make it accessible to SMEs like yours. #How We Empower SMEs with Data Science #Tailored Solutions: Our data science experts work closely with you to understand your unique business challenges and develop customized solutions. #Actionable Insights: We help you extract meaningful insights from your data to make informed decisions and gain a competitive edge. #Scalable Platforms: We leverage cutting-edge technologies like machine learning and artificial intelligence to build scalable data science platforms that grow with your business. #Capacity Building: We provide hands-on training and support to help your team develop data science skills and become self-sufficient. Don't let your data go to waste. Unlock its full potential with TechEnable's data science services. Contact us today to learn more about how we can help you harness the power of data science for your SME. #DataScience #SMEs #BusinessIntelligence #MachineLearning #ArtificialIntelligence #TechEnable
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🚀 Well, this is exciting! @ Unison we’ve just launched the latest version of our middleware data federation and harmonisation platform, and it’s set to transform how organisations tackle fragmented and siloed data—internally and externally. 🔍 The Problem: Traditionally, the approach has been to transform data into a common model to make it interoperable for analysis or machine learning training. This process is complex, time-consuming, and can limit flexibility. ❌ These days are over! With Unison, you can now: 1️⃣ Install our lightweight open-source runner where your data sits. 2️⃣ Map your datasets to one of our pre-defined data models (OMOP etc.) or create your own - we call these virtual models "Rosetta Stones". 3️⃣ Seamlessly interact with diverse multimodal datasets—internally or externally—as if they were a single unified dataset! 🔗 No heavy lifting. No complex transformations. Just fast, flexible, and privacy-preserving data federation and harmonisation. 🎯 We’re looking to collaborate with ETL & data engineers, bioinformaticians, and computational biologists to join our growing group of expert testers. 📩 If you’re interested in helping us shape the future of multimodal data harmonisation, please DM me! #DataFederation #Bioinformatics #DataHarmonisation #TechInnovation #MachineLearning Shwen Gwee Suman Lal Alex Zhavoronkov Saurabh Awasthi Abhi Yadav Crystal Ruff - PhD, MBA
🚀 Unison: Revolutionising Data Federation & Harmonisation Exciting news! The latest version of Unison is live, and it's a game-changer for data harmonisation! 🔥 💡 What Unison Can Do for You: - Accelerate Data Harmonisation: Achieve interoperability without the headache of local data transformations. - Universal Mapping: Map any data to any model—virtually—using off-the-shelf models such as OMOP, Sentinel, and CDISC, or create your own bespoke schema, such as for single cell, mRNA or imaging data. - Data Agility: Treat diverse datasets as a single sample, irrespective of structure or ontology, while ensuring data security, privacy, and sovereignty. Sounds magical? It’s not—it’s Unison! 🎩✨ 🚀 The Impact: - 70% Faster Integration: Save time on data harmonisation and preparation for analysis, bioinformatics, and ML development. - Faster Research Cycles: Enable more hypotheses testing and drive innovation. - Enhanced Collaboration: Facilitate seamless data-sharing and mapping collaboration within and across organisations, securely and compliantly. 🔍 We Need YOU: We're seeking ETL and data engineers, bioinformaticians, and computational biologists to help refine our platform. 🕐 What’s Involved?: Just 90 minutes of your time to: - Complete a guided testing program. - Brief follow-up call with our Head of Product. 💼 What’s In It for You?: - 💳 $50 Amazon voucher. - 🛠️ Collaborate to shape the future of data federation and harmonisation. - 🚀 Be part of a tech revolution! Intrigued? DM us for more info! Let’s harmonise the future of data, together. 🎵🔬💻 #DataFederation #Bioinformatics #DataHarmonisation #DataIntegration #FederatedLearning Rory Popert Daniel Sozonov Ivan Stepanov
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🚀 𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐌𝐋𝐎𝐩𝐬: 𝐓𝐡𝐞 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 📊💻 In the realm of Machine Learning Operations (MLOps), success hinges on a seamless journey from data ingestion to model deployment. Let's break down the end-to-end process: 1. 𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐬: Lay the foundation with robust data structures. Organize and prepare your data for analysis, ensuring accuracy and efficiency from the get-go. 2. 𝐁𝐚𝐭𝐜𝐡 𝐈𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧: Harness the power of batch ingestion techniques to collect and ingest data at scale. Streamline the process of gathering diverse datasets from various sources. 3. 𝐃𝐚𝐭𝐚 𝐋𝐚𝐤𝐞: Dive into the depths of the data lake! Centralize your data repository to facilitate easy access, storage, and management of vast datasets. 4. 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞: Construct a robust data pipeline to streamline data processing and transformation. Ensure smooth data flow from ingestion to analysis, optimizing efficiency at every stage. 5. 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Transform raw data into actionable insights through feature engineering. Extract meaningful features and variables to enhance the predictive power of your models. 6. 𝐌𝐨𝐝𝐞𝐥 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Enter the realm of model development! Leverage cutting-edge algorithms and techniques to build, train, and fine-tune machine learning models tailored to your specific objectives. 7. 𝐒𝐞𝐫𝐯𝐞𝐫: Deploy your models with confidence! Set up scalable and reliable server environments to host and serve your machine learning models to end-users. 8. 𝐂𝐨𝐧𝐬𝐮𝐦𝐞𝐫: Empower end-users with actionable insights! Deliver valuable predictions and recommendations to consumers, enabling data-driven decision-making across the organization. 🌟 Embark on your MLOps journey with a clear roadmap from data ingestion to model deployment. Master each stage of the process to unlock the full potential of your machine learning initiatives! 💡🔍 -- ➡ Stay tuned and make sure to follow me at Araib Farooq for more FREE useful & interesting insights! -- #MLOps #MachineLearning #DataScience #DataEngineering #ModelDeployment #DataPipeline 🚀💻
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🚀 Unison: Revolutionising Data Federation & Harmonisation Exciting news! The latest version of Unison is live, and it's a game-changer for data harmonisation! 🔥 💡 What Unison Can Do for You: - Accelerate Data Harmonisation: Achieve interoperability without the headache of local data transformations. - Universal Mapping: Map any data to any model—virtually—using off-the-shelf models such as OMOP, Sentinel, and CDISC, or create your own bespoke schema, such as for single cell, mRNA or imaging data. - Data Agility: Treat diverse datasets as a single sample, irrespective of structure or ontology, while ensuring data security, privacy, and sovereignty. Sounds magical? It’s not—it’s Unison! 🎩✨ 🚀 The Impact: - 70% Faster Integration: Save time on data harmonisation and preparation for analysis, bioinformatics, and ML development. - Faster Research Cycles: Enable more hypotheses testing and drive innovation. - Enhanced Collaboration: Facilitate seamless data-sharing and mapping collaboration within and across organisations, securely and compliantly. 🔍 We Need YOU: We're seeking ETL and data engineers, bioinformaticians, and computational biologists to help refine our platform. 🕐 What’s Involved?: Just 90 minutes of your time to: - Complete a guided testing program. - Brief follow-up call with our Head of Product. 💼 What’s In It for You?: - 💳 $50 Amazon voucher. - 🛠️ Collaborate to shape the future of data federation and harmonisation. - 🚀 Be part of a tech revolution! Intrigued? DM us for more info! Let’s harmonise the future of data, together. 🎵🔬💻 #DataFederation #Bioinformatics #DataHarmonisation #DataIntegration #FederatedLearning Rory Popert Daniel Sozonov Ivan Stepanov
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**New Research** We partnered with the fantastic team at Qlik on a recent report in which we surveyed 200 of our 8,700+ technology decision makers on unstructured data, and their priorities or concerns around using #GenAI to analyze it. Here are a few insights that we found: 💡 About two-thirds foresee that extracting insights from unstructured data will help them enhance operational efficiency and automation 💡 59% of respondents are very concerned about data privacy and another 47% are concerned about regulatory compliance 💡 When evaluating vendors, system integration (55%), cost (50%), and governance features (49%) are top priorities 💡 Among those interested in using GenAI for unstructured data, two out of three respondents plan to invest in an GenAI tool for unstructured data. If you are interested in learning more about GenAI and its impact on Unstructured Data - click on the eBook below. Enjoy! ETR (Enterprise Technology Research)
Untapped Insights: Unstructured Data & GenAI | Qlik eBook
qlik.com
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𝗜𝘀 𝗬𝗼𝘂𝗿 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗥𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗚𝗲𝗻𝗔𝗜 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻? Mark your calendars — Our exclusive roundtable with Celebal Technologies and Databricks is happening today at 6:30 PM at The Capital Grille in Seattle. Don’t miss out on this transformative opportunity to discover the game-changing influence of GenAI on enterprise reinvention through our proven capabilities. Our exclusive discussion can help you gain insights from industry leaders on 𝗚𝗲𝗻𝗔𝗜, 𝗦𝗺𝗮𝗿𝘁 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗘𝗥𝗣 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻, featuring Databricks as your comprehensive solution for #BigData, #AI, and #MachineLearning. 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝗳𝗿𝗼𝗺 𝗼𝘂𝗿 𝗿𝗼𝘂𝗻𝗱𝘁𝗮𝗯𝗹𝗲 𝘁𝗵𝗮𝘁 𝘆𝗼𝘂 𝘄𝗼𝗻'𝘁 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗺𝗶𝘀𝘀: 𝗔𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀: Build a deeper data understanding with advanced algorithms such as LLMs and RAG. 𝗣𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗺𝗮𝗿𝗸𝗲𝘁 𝗮𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁: Streamline your workflows through modernized ERP with cloud-native architectures & AI accelerators. 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Reduce uncertainty in decision-making with our GenAI-powered information models and real-time analytics. Join our limited-seat roundtable for a valuable opportunity to explore GenAI-driven workflows for end-to-end enterprise technology transformation! Make sure you’re a part of this—register now: https://lnkd.in/gDBEtviZ Anupam Gupta | Anirudh Kala | Pratap Gulabrao | Suchit Sharma | Brian Evans | Vinod Chakravarthy #Databricks #CelebalTech #GenAI #ERPModernization #EnterpriseReinvention #RAG #LLMs #SmartIndustry #DigitalTransformation #DataInsights #DataAnalytics
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Exploring the world of data science just got easier with Datalore! What is Datalore? Datalore is a cutting-edge cloud-based platform designed for data scientists and analysts to streamline their workflow, collaborate effectively, and unleash the power of data-driven insights. Whether you're a seasoned data professional or just starting your journey in data science, Datalore offers intuitive tools and features to help you excel in your projects. Key Features: Interactive Notebooks: Create and run Jupyter notebooks seamlessly in the cloud, enabling you to write, execute, and visualize code effortlessly. Collaboration: Collaborate with team members in real-time, share insights, and work together on projects regardless of your location. Data Visualization: Utilize advanced visualization libraries to transform complex datasets into insightful visuals, making it easier to communicate findings and drive decision-making. Machine Learning Capabilities: Access pre-built machine learning models and frameworks to accelerate model development and deployment. Scalability and Performance: Harness the power of cloud computing to handle large datasets and complex computations efficiently, ensuring optimal performance at all times. Why Datalore? Ease of Use: Datalore's user-friendly interface and intuitive tools make it accessible to users of all skill levels, eliminating the learning curve associated with traditional data science platforms. Flexibility: With Datalore's cloud-based approach, you can access your projects from any device with an internet connection, providing unparalleled flexibility and convenience. Cost-Effective: Say goodbye to upfront hardware costs and maintenance expenses. Datalore's pay-as-you-go model allows you to scale resources based on your needs, optimizing costs without compromising on performance. Join the Data Revolution! Whether you're a data enthusiast, a seasoned professional, or an aspiring data scientist, Datalore empowers you to turn raw data into actionable insights, driving innovation and success in your projects. Embrace the future of data science with Datalore and unlock the full potential of your data journey! #DataScience #Datalore #DataAnalytics #MachineLearning #CloudComputing #DataVisualization #Collaboration #innovation
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