Cost Optimization and Data Tiering with BigLake and Cloud Storage

Cost Optimization and Data Tiering with BigLake and Cloud Storage

Cost Optimization and Data Tiering with BigLake and Cloud Storage Taught in English Instructor: Google Cloud Training Included with • Learn more Project Build in-demand job skills with step-by-step instructions Beginner level No prior experience required 90 minutes Learn at your own pace No downloads or installation required Only available on desktop Hands-on learning Learn

Description

As organizations continue to accumulate vast amounts of data, the effective management and storage of this data becomes increasingly important. Cost optimization and data tiering are two critical aspects of data management that can help organizations reduce their storage costs and improve overall efficiency. BigLake and cloud storage are two technologies that offer solutions for cost optimization and data tiering, enabling organizations to store and access their data in a more efficient and cost-effective manner.

BigLake is a data tiering solution that allows organizations to optimize their storage costs by automatically moving data between different storage tiers based on usage patterns. Data tiering involves categorizing data based on its value and access frequency, and then storing it on different types of storage media accordingly. By tiering data, organizations can reduce their storage costs by moving less

Cost Optimization and Data Tiering with BigLake and Cloud Storage

Taught in English

Google Cloud Training

Instructor: Google Cloud Training

Included with Coursera Plus

Project

Build in-demand job skills with step-by-step instructions

Beginner level
No prior experience required
90 minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you’ll learn

  • Export data from BigQuery into Cloud Storage

  • Create a BigLake table which reads from the data on Cloud Storage

  • Delete the original table on BigQuery

Skills you’ll practice

Details to know

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Recently updated!

December 2023

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