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Databricks Certified Data Engineer Associate - Exam Prep
Published 4/2023
Created by Nicola Filosi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 34 Lectures ( 4h 21m ) | Size: 2.22 GB
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Get ready to pass the Databricks Certified Data Engineer exam (versions 2 and 3) !
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What you'll learn
Become familiar with the Databricks Data Lakehouse architecture
Manipulate data objects and relational entities
Structure ETL/ELT with SparkSQL and PySpark
Define batch and real-time processing data pipelines
Design and implement multi-hop data pipelines architectures
Orchestrate data pipelines in production
Understand how does Data Governance work in Databricks
Requirements
Basic SQL
Basic Python
Basic understanding of Cloud Services
Description
Welcome! In this course I'll do my best to help you in becoming a Databricks Certified Data Engineer Associate. In particular, at the end fo this course you should be comfortable with:1. Understanding the Databricks Lakehouse Platform Data Lakehouse (definition, architecture, benefits) Data Science and Engineering workspace (clusters, notebooks, version control, data storage) Delta Lake (definition, relational entities, optimizations and advanced concepts)2. Building ETL/ELT pipelines with PySpark and SparkSQL Files (querying .csv, .parquet, and so on) Managed and unmanaged (external) data sources (storage locations, metadata) Relational entities (databases, tables, views, ctes) ETL/ELT (creating delta tables, cleaning data, writing data to delta tables) Advanced ETL/ELT (higher order functions, creating SQL UDFs)3. Processing data incrementally Structured Streaming (definition, triggers, output modes, checkpoints) Auto Loader & Copy Into (definition, differences, best practices) Multi-hop Architecture (also known as "medallion", with batch and real-time data processing)4. Orchestrating data pipelines in production What is orchestration (general concepts) Delta Live Tables (definition, features, benefits, UI) Change Data Capture (definition, features, benefits, UI) Jobs (execution, tasks, job clusters, UI)5. Understanding Data Governance Data Governance Model (privileges, data objects, identities) Unity Catalog (definition, features & identity federation, benefits) Databricks SQL (managing permissions with data explorer and sql editor, BI workloads)And as I often say.... Welcome, and I look forward to seeing you, in the next video!
Who this course is for
Beginners eager to pass the Databricks Certified Data Engineer Associate Certification exam
Beginners interested in getting familiar with the Databricks Lakehouse Platform
Data Engineers new to Databricks and interested in learning

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