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Overview

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.
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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.

Who Should Attend

Data analysts, data scientists, data engineers, and developers who perform work on a scale that requires advanced BigQuery internals knowledge to optimize performance.
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Prerequisites

Introduction to Data Engineering

Learning Journey

Coming Soon...

Module 01: BigQuery Architecture Fundamentals

  • Introduction
  • BigQuery Core Infrastructure
  • BigQuery Storage
  • BigQuery Query Processing
  • BigQuery Data Shuffling

Module 02: Storage and Schema Optimizations

  • BigQuery Storage
  • Partitioning and Clustering
  • Nested and Repeated Fields
  • ARRAY and STRUCT syntax
  • Best Practices

Module 03: Ingesting Data

  • Data Ingestion Options
  • Batch Ingestion
  • Streaming Ingestion
  • Legacy Streaming API
  • BigQuery Storage Write API
  • Query Materialization
  • Query External Data Sources
  • Data Transfer Service

Module 04: Changing Data

  • Managing Change in Data Warehouses
  • Handling Slowly Changing Dimensions (SCD)
  • DML statements
  • DML Best Practices and Common Issues

Module 05: Improving Read Performance

  • BigQuery’s Cache
  • Materialized Views
  • BI Engine
  • High Throughput Reads
  • BigQuery Storage Read API

Module 06: Optimizing and Troubleshooting Queries

  • Simple Query Execution
  • SELECTs and Aggregation
  • JOINs and Skewed JOINs
  • Filtering and Ordering
  • Best Practices for Functions

Module 07: Workload Management and Pricing

  • BigQuery Slots
  • Pricing Models and Estimates
  • Slot Reservations
  • Controlling Costs

Module 08: Logging and Monitoring

  • Cloud Monitoring
  • BigQuery Admin Panel
  • Cloud Audit Logs
  • INFORMATION_SCHEMA
  • Query Path and Common Errors

Module 09: Security in BigQuery

  • Secure Resources with IAM
  • Authorized Views
  • Secure Data with Classification
  • Encryption
  • Data Discovery and Governance

Module 10: Automating Workloads

  • Scheduling Queries
  • Scripting
  • Stored Procedures
  • Integration with Big Data Products

Module 11: Machine Learning in BigQuery

  • 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

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Frequently Asked Questions (FAQs)

  • Why get Google Cloud Platform (GCP) certified?

    Google Cloud certifications validate your expertise in cloud technologies and your proficiency in using Google Cloud Platform's vast array of services.

    These certifications are recognized globally and highly sought after by employers, as they demonstrate your ability to design, develop, and manage scalable and secure cloud solutions on GCP.

    Google Cloud-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    Google Cloud offers a variety of certification exams across different levels (Foundational, Associate, and Professional) covering various job roles and specializations.

    The exams typically consist of multiple-choice and multiple-select questions, as well as scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Google Cloud Platform (GCP) certification valid for?

    Most Google Cloud certifications, including Professional-level certifications, are valid for two years from the date of passing the exam.

    The Cloud Digital Leader and Associate Cloud Engineer certifications are valid for three years from the date of passing the exam.

    To maintain your certification, you will need to recertify by passing the latest version of the same exam or an equivalent higher-level certification exam before your current certification expires.

    You will receive a notification from Google Cloud prior to your certification's expiration date.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 24 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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