Midwest Big Data Hub Student Webinar

Midwest Big Data Hub

Midwest Big Data Hub Student Webinar series. A webinar series for student-led data science organizations to share and discuss their experience, structure and goals, ultimately helping to develop a Midwestern data science student groups community. Contact the Hub if you're a student group leader or faculty advisor and would like to participate: info@midwestbigdatahub.org.
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Spotlight

Cloud and Hybrid Modernization Are Key Are you incorporating data mesh and data fabric into your IT strategy and enterprise architecture? If not, you’re already behind two popular data engineering trends. Stay more than one step ahead of your competitors with our top list of data engineering trends. Data engineering is always ev

OTHER ON-DEMAND WEBINARS

How to Use Data Prep to Accelerate Cloud Data Lake Adoption

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What began as a trickle is now the mainstream: Organizations are moving to the cloud for data management. No longer is the cloud just a cheaper place to park data; it is key to supporting business-critical innovation in advanced analytics, data science, and AI as well as for end-user business intelligence, data exploration, and data visualization. Data lakes and data warehouses running on market-leading platforms such as AWS are growing fast, just as they are on the platforms of competing providers. However, as cloud-based workloads grow in number and size, organizations are facing difficult data preparation challenges. The flow of data raw, diverse, and frequently unstructured can quickly turn cloud data lakes into impenetrable swamps. Without good data preparation technologies and practices, users of all types are frustrated; their productivity and satisfaction suffer because it’s too hard to get accurate data that’s appropriately transformed and structured for their purposes.
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Data Analytics and AI Fraud, Waste, & Abuse

Join Google Cloud, SpringML, and Carahsoft for a webinar as we explore a framework for combating fraud, waste, and abuse. It’s not enough to chase down fraud after it happens — our solution helps you proactively identify fraud, waste, and abuse before it infiltrates your system and doesn’t penalize legitimate claims.
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Build Or Buy? Observability Data Pipelines 101

Getting insights from observability data such as logs and metrics is essential for managing cloud services reliably. However, managing massive observability data volumes can be expensive and complex. Luckily observability data pipelines can help IT handle large data volumes and reduce costs by processing, routing, and filtering data across teams, tools, and storage options. Should you build your own or buy?
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Webinar Recording: RDCA-DAP Collaboration with Clinerion for Real World Data Solutions

The Rare Disease Cures Accelerator–Data and Analytics Platform (RDCA-DAP®) is launching a new webinar series with the goal of sharing with the community examples of the use of rare disease person-level data in drug development and regulatory decision making. The series will feature 1-hour webinars highlighting analyses that have been done in individual disease areas, how they informed drug development, and how similar approaches could be applied to common drug development issues encountered in rare diseases. After each presentation time will be allowed for discussion with a panel of Quantitative and Regulatory experts around why the solutions presented were informative, lessons learned and how similar approaches could be applied to related problems.
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Spotlight

Cloud and Hybrid Modernization Are Key Are you incorporating data mesh and data fabric into your IT strategy and enterprise architecture? If not, you’re already behind two popular data engineering trends. Stay more than one step ahead of your competitors with our top list of data engineering trends. Data engineering is always ev

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