Build Data Lakes and Data Warehouses on Google Cloud

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Course Overview

While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.

Who Should Attend

Data Engineers, Data Analysts, and Data Architects

Course Objectives

    • Differentiate between a data lake, data warehouse, data lakehouse
    • Explain the data lakehouse concept and how it addresses the limitations of traditional data lakes and data warehouses
    • Identifying various data sources that BigQuery can query
    • Recognize the capabilities of using BigQuery to create and access AI models

Course Outline

  • Course Introduction
  • Introduction to Modern Data
  • Engineering on Google Cloud
  • Building a Data Lake with Google Cloud Storage
  • Modernizing Data Warehouses with BigQuery
  • Advanced Data Lake Patterns
  • Labs and Best Practices
  • Course Summary

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Class Dates & Times

Class times are listed Eastern time

This is a 1-day class

Price : $900.00

NERCOMP Price : $855.00

Class dates not listed.
Please contact us for available dates and times.