3 days EN / DE Max 16

Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration

In this course, you learn about the internals of BigQuery and best practices for designing, optimizing, and administering your data warehouse. Through a combination of lectures, demos, and labs, you learn about BigQuery architecture and how to design optimal storage and schemas for data ingestion and changes.Next, you learn techniques to improve read performance, optimize queries, manage workloads, and use logging and monitoring tools. You also learn about the different pricing models. Finally, you learn various methods to secure data, automate workloads, and build machine learning models with BigQuery ML.

€1.900,00 excl. VAT

Individual scheduling

The courses are held as dedicated group sessions. Once you've booked, we'll coordinate a date that works for your team and send invitations to all participants.

Prerequisites

  • Completion of the "Introduction to Data Engineering" course.
  • Prior knowledge of the following is assumed: Introduction to BigQuery, basic data warehousing concepts, distributed data processing concepts, and SQL.

What you'll learn

  • Describe BigQuery architecture fundamentals.
  • Implement storage and schema design patterns to improve performance.
  • Use DML and schedule data transfers to ingest data.
  • Apply best practices to improve read efficiency and optimize query performance.
  • Manage capacity and automate workloads.
  • Understand patterns versus anti-patterns to optimize queries and improve read performance.
  • Use logging and monitoring tools to understand and optimize usage patterns.
  • Apply security best practices to govern data and resources.
  • Build and deploy several categories of machine learning models with BigQuery ML.

Course modules
Introduction BigQuery Core Infrastructure BigQuery Storage BigQuery Query Processing BigQuery Data Shuffling
BigQuery Storage Partitioning and Clustering Nested and Repeated Fields ARRAY and STRUCT syntax Best Practices
Data Ingestion Options Batch Ingestion Ingestion Streaming Legacy Streaming API BigQuery Storage Write API Query Materialization Query External Data Sources Data Transfer Service
Managing Change in Data Warehouses Handling Slowly Changing Dimensions (SCD) DML statements DML Best Practices and Common Issues
BigQuery's Cache Materialized Views BI Engine High Throughput Reads BigQuery Storage Read API
Simple Query Execution SELECTs and Aggregation JOINs and Skewed JOINS Filtering and Ordering Best Practices for Functions
BigQuery Slots Pricing Models and Estimates Slot Reservations Controlling Costs
Cloud Monitoring BigQuery Admin Panel Cloud Audit Logs INFORMATION SCHEMA Query Path and Common Errors
Secure Resources with IAM Authorized Views Secure Data with Classification Encryption Data Discovery and Governance
Scheduling Queries Scripting Stored Procedures Integration with Big Data Products
Introduction to BigQuery ML How to Make Predictions with BigQuery ML How to Build and Deploy a Recommendation System with BigQuery ML How to Build and Deploy a Demand Forecasting Solution with BigQuery ML Time-Series Models with BigQuery ML BigQuery ML Explainability
Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration