Data Analysis using Big Query
Unleash the power of serverless Data Warehouse i.e. Big Query for analyzing your data in an optimized way!!
Duration
2 Days
Level
Intermediate Level
Design and Tailor this course
As per your team needs
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The program initially provides a high level overview of BigQuery, after that, it delves down deeper into it and provides exposure around loading data, exporting data and exploring data using BigQuery.
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Data Engineers
Data Analyst
Data Scientists
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- What is BigQuery?
- Background
- BigQuery vs Hive
- Use cases for Google BigQuery
- Google BigQuery Fundamentals
- Hands-on: Experience BigQuery
- Schema Design
- Creating datasets and tables
- How to define ACLs for datasets?
- Data Preparation and Transformation Aspect
- Dealing with streaming data and bulk loading
- Hands-on: Loading Data Into BigQuery
- Control requirements for exporting data
- Quota policies
- Access control requirements for exporting data
- Access quotas
- Compression and DataFormats
- Exporting data to Google Cloud Storage
- Hands-on: Exporting Data from BigQuery related exercises
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Participants should preferably have knowledge of SQL query language.