Take advantage of spring savings with up to 50% off ILT training.

MyGK
Support
Canada Canada - English
Checkout

Cart () Loading...

    • Quantity:
    • Delivery:
    • Dates:
    • Location:

    $

Subtotal

$

Checkout

or Continue Shopping

Contact Sales
Course  
Contact Sales
Support
Checkout

Cart () Loading...

    • Quantity:
    • Delivery:
    • Dates:
    • Location:

    $

Subtotal

$

Checkout

or Continue Shopping

Request Group Training

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

Learn about the internals of BigQuery and best practices for designing, optimizing, and administering your data warehouse.

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.

GK# 899012
Vendor Credits:
No matching courses available.
Start learning as soon as today! Click Add To Cart to continue shopping or Buy Now to check out immediately.
Access Period:
Scheduling a custom training event for your team is fast and easy! Click here to get started.
$
Your Selections:
Location:
Access Period:
No available dates
Add To Cart

BUY NOW

Request a quote

Is This The Right Course?

Big Data and Machine Learning Fundamentals

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

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.

Prerequisites

Big Data and Machine Learning Fundamentals