Azure Spark Databricks Essential Training
With Lynn Langit
Liked by 1,810 users
Duration: 2h 57m
Skill level: Intermediate
Released: 1/31/2019
Course details
Apache Spark and Microsoft Azure are two of the most in-demand platforms and technology sets in use by today's data science teams. These two platforms join forces in Azure Databricks‚ an Apache Spark-based analytics platform designed to make the work of data analytics easier and more collaborative. In this course, Lynn Langit digs into patterns, tools, and best practices that can help developers and DevOps specialists use Azure Databricks to efficiently build big data solutions on Apache Spark. Lynn covers how to set up clusters and use Azure Databricks notebooks, jobs, and services to implement big data workloads. She also explores data pipelines with Azure Databricks—including how to use ML Pipelines—as well as architectural patterns for machine learning.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Balogog Georges
Balogog Georges
AIML & Optimization Engineer | Supply Chain Analytics | MILP/OR-Tools | Forecasting | FastAPI/Docker/Kubernetes
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Shiva Kumar Dontula
Shiva Kumar Dontula
AWS|GCP|AZURE| Hybrid Data/Solution/Technical Arch | End-End Modeler(DB data & APP data) L/C enhancements | Independent Contributor|10X Value-Giver &…
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Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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