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강의 계획 - 이 강좌에서 배울 내용

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1

1

완료하는 데 7분 필요

Introduction

완료하는 데 7분 필요
2개 동영상 (총 7분)
2개의 동영상
Getting Started with Google Cloud and Qwiklabs4m
완료하는 데 2시간 필요

Introduction to Data Engineering

완료하는 데 2시간 필요
13개 동영상 (총 55분)
13개의 동영상
Analyze data engineering challenges8m
Intro to BigQuery3m
Data Lakes and Data Warehouses5m
Demo: Federated Queries with BigQuery6m
Transactional Databases vs Data Warehouses4m
Partner effectively with other data teams6m
Manage data access and governance2m
Demo: Finding PII in your dataset with DLP API1m
Build production-ready pipelines2m
Review GCP customer case study3m
Recap1m
Lab Intro: Using BigQuery to do Analysis17
1개 연습문제
Introduction to Data Engineering30m
완료하는 데 2시간 필요

Building a Data Lake

완료하는 데 2시간 필요
10개 동영상 (총 58분)
10개의 동영상
Data Storage and ETL options on GCP4m
Building a Data Lake using Cloud Storage10m
Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions7m
Securing Cloud Storage5m
Storing All Sorts of Data Types5m
Demo: Running federated queries on Parquet and ORC files in BigQuery4m
Storing Relational Data in the Cloud1m
Cloud SQL as a relational Data Lake7m
Lab: Loading Taxi Data into Cloud SQL27
1개 연습문제
Building a Data Lake4m
2

2

완료하는 데 4시간 필요

Building a data warehouse

완료하는 데 4시간 필요
17개 동영상 (총 93분)
17개의 동영상
Intro to BigQuery1m
Demo: Querying TB of Data in seconds7m
Getting Started9m
Loading Data11m
Lab Intro: Loading Data into BigQuery21
Exploring Schemas24
Demo: Exploring Schemas10m
Schema Design3m
Nested and Repeated Fields8m
Demo: Nested and Repeated Fields15m
Lab Intro: Working with JSON and Array Data in BigQuery13
Optimizing with Partitioning and Clustering5m
Demo: Creating Partitioned Tables7m
Demo: Partitioning and Clustering6m
Preview: Transforming Batch and Streaming Data2m
Recap1m
1개 연습문제
Building a Data Warehouse4m
완료하는 데 2분 필요

Summary

완료하는 데 2분 필요
1개 동영상 (총 2분)
1개의 동영상

검토

MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GCP의 최상위 리뷰

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