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!

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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 configuring storage in Google Cloud, you must decide where your data physically resides. This decision is critical because it impacts availability, latency, a...

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

CSV (Comma-Separated Values) and JSON (JavaScript Object Notation) are two of the most common data formats used for storing and exchanging information. Each format...

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

Dataflow is a powerful service designed for unified stream and batch processing. It allows users to build scalable data pipelines using code written in Java or Py...

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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)

The gcloud CLI is a command-line tool used to load and manage data within Google Cloud Storage. You begin by installing the tool and running gcloud init

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