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- Level: Intermediate
- Duration: 03h 34m 44s
- Release date: 2021-01-26
- Author: Google Cloud
- Provider: Pluralsight
Modernizing Data Lakes and Data Warehouses with GCP
Description
Content
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail.
- Introduction02m
- Course Introduction02m
- Introduction to Data Engineering58m
- Explore the role of a data engineer07m
- Analyze data engineering challenges09m
- Intro to BigQuery03m
- Data Lakes and Data Warehouses06m
- Demo:Federated Queries with BigQuery07m
- Transactional Databases vs Data Warehouses05m
- Partner effectively with other data teams06m
- Manage data access and governance02m
- Demo:Finding PII in your dataset with DLP API02m
- Build production-ready pipelines02m
- Review GCP customer case study04m
- Recap01m
- Getting Started With GCP And Qwiklabs04m
- Lab Intro:Using BigQuery to do Analysis00m
- Lab: Using BigQuery to do Analysis00m
- Building a Data Lake58m
- Introduction to Data Lakes11m
- Data Storage and ETL options on GCP05m
- Building a Data Lake using Cloud Storage11m
- Demo:Optimizing cost with Google Cloud Storage classes and Cloud Functions07m
- Securing Cloud Storage06m
- Storing All Sorts of Data Types05m
- Demo:Running federated queries on Parquet and ORC files in BigQuery04m
- Storing Relational Data in the Cloud01m
- Cloud SQL as a relational Data Lake08m
- Lab:Loading Taxi Data into Cloud SQL00m
- Lab: Loading Taxi Data into Google Cloud SQL00m
- Building a data warehouse01h 32m
- The Modern Data Warehouse04m
- Intro to BigQuery01m
- Demo:Querying TB of Data in seconds07m
- Getting Started09m
- Loading Data11m
- Lab Intro:Loading Data into BigQuery00m
- Lab: Loading data into BigQuery00m
- Exploring Schemas00m
- Demo:Exploring Schemas10m
- Schema Design03m
- Nested and Repeated Fields08m
- Demo:Nested and Repeated Fields16m
- Lab Intro:Working with JSON and Array Data in BigQuery00m
- Lab: Working with JSON and Array data in BigQuery00m
- Optimizing with Partitioning and Clustering05m
- Demo:Creating Partitioned Tables07m
- Demo:Partitioning and Clustering06m
- Preview:Transforming Batch and Streaming Data03m
- Recap02m
- Summary02m
- Course Summary02m
- Modernizing Data Lakes and Data Warehouses with Google Cloud Slides00m
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