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Analytics in Microsoft Intelligent Data Platform (MIDP) Lab

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04 Labs

This track consists of 4 labs, each provided as a separate lab instance, and each must be completed in one uninterrupted session. Your session time starts as soon as you launch a lab. The track and all labs stay available for 30 days after you redeem your voucher code. You’ll get two attempts per lab during this period. After 30 days, all labs and related data will be automatically deleted from the CloudLabs Sandbox portal.

About Course

In the lab, you’ll use Azure Databricks and Delta Live Tables to create a Lakehouse by consolidating diverse data sources, such as customer and sales information, for analysis. You’ll integrate real-time IoT data using Azure Data Explorer, learn to ingest and merge data into the Lakehouse, and construct pipelines. The goal is to derive insights to improve customer satisfaction and drive business growth. Machine learning will be employed to predict customer churn. The lab also covers the use of Microsoft Purview for data governance across various cloud environments, facilitating better collaboration and informed decisions.

Hands-on Labs Covered

  • Data ingestion from a spectrum of analytical and operational data sources into the Lakehouse
  • Explore offline data and analytics pipeline using open Delta format and Azure Databricks Delta Live Tables. Stitch streaming and non-streaming data (landed earlier) to create a combined data product to build a simple Lakehouse
  • Explore Machine Learning and Business Intelligence scenarios on the Lakehouse
  • Glimpse of Purview to govern the overall data and analytics estate

Audience

  • Data Architects
  • Business Analysts
  • IT managers
  • Decision-makers in companies

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