Associate Data Practitioner

Unlock the power of your data in the cloud! Get hands-on with Google Cloud's core data services like BigQuery and Looker to validate your practical skills in data ingestion, analysis, and management, and earn your Associate Data Practitioner certification!

Fundamental

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1.2 Extract and load data into appropriate Google Cloud storage systems

Section 1: Data Preparation and Ingestion
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Select the appropriate storage solution (e.g., Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner)

When you pick a storage location type, you decide where your data lives in Google Cloud. Making the right choice ensures optimal performance and meets important compli...

Distinguish the format of the data (e.g., CSV, JSON, Apache Parquet, Apache Avro, structured database tables)

Choosing the right data format is essential when you extract and load data into Google Cloud storage systems. Different formats handle structure, schema, and compression i...

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Choose the appropriate extraction tool (e.g., Dataflow, BigQuery Data Transfer Service, Database Migration Service, Cloud Data Fusion)

When working with data on Google Cloud, you need to choose the right extraction service for your needs. This section covers four main tools: Dataflow, BigQuery Data Tr...

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Load data into Google Cloud storage systems using the appropriate tool (e.g., gcloud and BQ CLI, Storage Transfer Service, BigQuery Data Transfer Service, client libraries)

Google’s gcloud CLI is a command-line tool that lets you manage data in Google Cloud Storage without leaving your terminal. After installing and initializing with gc...

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