Databricks Certified Data Engineer Associate Cert Prep: 1 Databricks Lakehouse Platform

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Noah Gift

23:21

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01 - Introduction

01 - Course overview.mp4

03:04

02 - 1. Databricks Lakehouse Platform

01 - Introduction to the Databricks Lakehouse platform.mp4

02:43

02 - Overview of the Databricks architecture.mp4

02:21

03 - Creating and managing clusters.mp4

06:01

04 - Configuring cluster runtimes.mp4

02:33

05 - Terminating clusters.mp4

01:55

06 - Restarting clusters.mp4

01:19

07 - Filtering the clusters list.mp4

01:25

08 - All-purpose vs. job clusters.mp4

02:00

Description

Data professionals from all walks of life can benefit from this comprehensive introduction to the components of the Databricks Lakehouse platform that directly support putting ETL pipelines into production. In this first course in a six-course series, Instructor Noah Gift covers the basics of how to use the Databricks Lakehouse platform. He details the architecture and shows you how to create and manage clusters, configure cluster runtimes, terminate clusters, restart clusters, and filter the cluster list. Plus, learn about the differences between all-purpose clusters and job clusters.

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Data Science

Cloud Computing

Noah Gift

Instructor's Courses

Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability

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