Azure Databricks - Build data engineering and AI/ML pipeline
https://DevCourseWeb.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 45 lectures (3h 25m) | Size: 1.29 GB
Learn anomaly detection, Data Factory, Azure functions, Spark, Delta lake, Kafka, Event Hub, CI/CD using azure devops
What you'll learn
What is Anomaly detection?
How to apply unsupervised learning algorithms Isolation Forest, KNN and Clustering based Approach to detect anomalies?
Step by Step guide to perform ETL operations using Azure Databricks
Understand DataLakeHouse Architecture
Build Data Pipeline using Azure Tech stack
machine learning model interpretable shapley values
Spark structured streaming with Kafka
Spark Structured streaming with Azure Event Hub
Use MLFlow for managing the end-to-end machine learning lifecycle
Anomaly detection on Time series data
Building CI/CD Pipeline using Azure Devops
Building Data Pipeline using Azure Data Factory
Productionizing model using Azure Function and Docker
Requirements
Basic knowledge on python programming language
Basic understanding of Bigdata Ecosystems
Basic understanding of Pyspark
