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Overview
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Participants will learn to build advanced analytics pipelines using Azure Databricks, a collaborative Apache Spark-based platform optimized for Azure. The course covers technical overview of Spark, key collaboration features of Azure Databricks, cluster management, and data integration with Azure sources. Skills taught include building analytics pipelines, anomaly detection, integrating Azure services, and productionizing machine learning workloads. The teaching method involves a detailed walkthrough of building an advanced analytics pipeline using Spark and Azure Databricks. This course is intended for individuals interested in advanced analytics, data engineering, and machine learning on the Azure platform.
Syllabus
Intro
Apache Spark a unified computing engine
Apache Spark: APIS
Inside a Spark Application
Azure Databricks Managed Apache Spark platform optimized for Azure First party service
Hidden Technical Debt in ML Systems
Azure Integration
Databricks Core Concepts
Anomaly Detection - Network Intrusion KOD Cup 1999 Data
Demo Architecture
Estimators and Transformers
Custom Transformers and Estimators
Productionizing Machine Learning Workloads
Spark Structured Streaming
Databricks Developer Tooling
Try the demo!
Taught by
NDC Conferences