Introduction to Data Analytics on Google Cloud

Understand the Data Analytics Lifecycle on Google Cloud

• Data analytics workflow
• Data sources
• Storage methods
• Google Cloud data analytics products
• Data types
• Detail and describe the data analytics workflow on Google Cloud.
• Compare and contrast data sources and storage methods available in Google Cloud.
• Compare how different data types can be used for data analytics.

Explore Data and Extract Insights by Using BigQuery

• BigQuery services, capabilities, and organization
• Data storage
• Basic SQL
• Answering data-driven questions
• Describe BigQuery and the BigQuery solution architecture.
• Derive insights from data by using BigQuery.
• Use the BigQuery user interface to run basic queries.
  
  • Lab 1: BigQuery Qwik Start: Console
  • Lab 2: Introduction to SQL for BigQuery and Cloud SQL
  • Lab 3: BigLake: Qwik Start
  • Lab 4: Analyze data with Gemini Assistance

Make Data-Driven Decisions by Using Looker

• Looker data exploration terms and concepts
• Looks and dashboards
• Visualizations
• Report sharing
• Looker Studio
• Manipulate a Looker Explore to answer data-driven questions.
• Create a situation-appropriate visualization to highlight the answer for a datadriven question.
• Choose between Looker and Looker Studio for data visualization and sharing.
• Share visualizations with others.
  
  • Lab 1: Looker Data Explorer—Qwik Start
  • Lab 2: Looker Data Studio—Qwik Star