Leonardo Santos-Macias. Ph.D, M.Sc

Are you struggling with managing issues in your semantic models/datasets? The recording from the May Calgary Fabric User Group is here! Join John Kerski as he demonstrates a DAX Query View Testing Pattern. This pattern combines the new DAX Query View feature in Power BI Desktop, Azure DevOps, and DataOps principles to help you improve project delivery and reduce errors. https://ow.ly/RbsR50S7Ncs #dax #powerbi #powerbidesktop #devops #dataops #azuredevops

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Explore how NAIT (Northern Alberta Institute of Technology) transformed its data management with Semarchy Master Data Management. The Institute went from tackling fragmented and inconsistent data to achieving faster integrations, improved data quality, and enhanced user experiences. Learn how it accomplished this and more with the help of IMT Corporation: https://hubs.ly/Q02GdPBX0 #datamanagement #dataplatform #masterdatamanagement #dataquality #dataintegration

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Explore how NAIT (Northern Alberta Institute of Technology) transformed its data management with Semarchy Master Data Management. The Institute went from tackling fragmented and inconsistent data to achieving faster integrations, improved data quality, and enhanced user experiences. Learn how it accomplished this and more with the help of IMT Corporation: https://hubs.ly/Q02-KPl_0 #datamanagement #dataplatform #masterdatamanagement #dataquality #dataintegration

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Download the “Graph database buyer’s guide” to learn the key criteria to consider for graph-centric deployments, such as the key differences between analytical (OLTP) vs. transactional (OLAP) use cases, and the top vendors in the #graph #database space. #Aerospike https://lnkd.in/g6annBJb

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Introduction to ETL Pipelines for Data Scientists via #TowardsAI → https://bit.ly/3Swxs2o

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EK's new blog by Heather Hedden discusses the important role that taxonomy and information architecture play in building a semantic layer that is intuitive and comprehensive. #taxonomy #semanticlayer https://lnkd.in/ebtbB3xV

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Do you know how to ensure #data_integrity in your #database? Join us on July 10 to explore integrity features of relational databases with Federico Razzoli (Founder, Vettabase Ltd) and Tianzhou Chen (CEO, Bytebase) on a #webinar: https://lnkd.in/eWrCgnF6 #rdbms #dbms #data

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How does data modeling establish a foundation for robust data architectures that enable scalability, performance, and usability? Data modeling is the practice of designing abstract representations of data structures and their relationships within an organization. A foundational aspect of data architecture, data modeling is essential for understanding the underlying data of an organization, its relationships, and the potential for data to support business processes and strategy. By visualizing data structures as physical, logical, or conceptual models, data modeling establishes a foundation for robust data architectures that organize and manage data in ways that directly enable scalability, performance, and usability. Learn more about Data Modeling and Data Architecture: https://lnkd.in/ghMfTsks

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Download the “Graph database buyer’s guide” to learn the key criteria to consider for graph-centric deployments, such as the key differences between analytical (OLTP) vs. transactional (OLAP) use cases, and the top vendors in the #graph #database space. #Aerospike https://lnkd.in/g6annBJb

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Two video tutorials explore two #GraphDB features that allow the users to treat a relational database like #RDF & an RDF repository like #relationaldata. https://hubs.la/Q02yBGcJ0 #dataintegration

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If you are working in the field of #Data, and want to learn about combining #AI with #BusinessIntelligence, this is a great webinar to learn what Databricks has to offer!

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🚀 Calling all data enthusiasts: check out this intro guide to Databricks compute. 💡Whether you're a seasoned data engineer or just getting into the world of data infrastructure, this post can help you understand and optimize your cluster configurations for efficiency and costs. Read all about it 👇 https://hubs.ly/Q02GYJYr0

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