Welcome to our Advanced Learning category, where we dive deep into expert-level insights and advanced techniques in data and AI. Whether you’re refining your skills in Power BI, exploring AI-powered solutions, or navigating complex cloud architectures, our in-depth articles are designed to help you stay ahead of the curve. Perfect for professionals looking to take their expertise to the next level, our content provides actionable strategies and cutting-edge knowledge to drive innovation and growth. Explore the latest advancements and elevate your learning today!
Enterprise Governance on Data Lake with Unity Catalog & Databricks Implementation with R Jobs Migration Use Case A big thank you to Vinny Vijeyakumaar from
Are you still sharing files with your peers on teams and maintaining them in your local system? If yes, then perhaps you could use SharePoint
Azure Cognitive Search supports fuzzy search, a type of query that compensates for typos and misspelled terms in the input string. It does this by scanning for terms having a similar composition. Expanding search to cover near-matches has the effect of auto-correcting a typo when the discrepancy is just a few misplaced characters.
Deep dive into building a Data Lakehouse with Delta Lake and Spark Watch the recorded webinar that deep dives into building a data lakehouse with
Artificial Intelligence is rapidly becoming a mainstream technology. Read this developer’s eBook for an introduction to the tools, infrastructure and services in the Microsoft AI platform that allow you to create intelligent applications.
Topics covered:
• How the intersection of cloud, data and AI enables organizations to build intelligent systems
• The tools, infrastructure, and services available as part of the Microsoft AI platform
• How to teach your bot/application new AI skills
• How ONNX may be relevant to your AI work
#datadriven #AI #MicrosoftAI #Azure
A big thank you to Jixin Jia (Gin), Databricks Solution Architect for a brilliant presentation, one that I personally found very interesting and learn a
A common Databricks performance problem we see in enterprise data lakes are that of the “Small Files” issue. One of our customers is a great
