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Modernizing Data Lakes and Data Warehouses with Google Cloud...

  • CMDBID 1087
  • Course Code GCPMDLDW
  • Duration 1 Days
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Google Cloud Course

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Overview

Modernizing Data Lakes and Data Warehouses with Google Cloudis a practical training course for teams that need structured, instructor-led skills in Modernizing Data Lakes, Data Warehouses, Google Cloud Introduction. CourseMonster has rewritten this summary to make the page clearer for learners, managers and search engines while preserving the key learning outcomes.

The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
. Explore more Cloud traininghere

Useful links: Google Cloud training | Cloud Computing training at CourseMonster | CourseMonster course page

CourseMonster SEO course note: Modernizing Data Lakes and Data Warehouses with Google Cloud Training Course | CourseMonster has been positioned as a practical Google Cloud learning pathway for teams that need searchable, role-based training outcomes rather than a generic course description. The page now highlights Modernizing, Data, Lakes, Warehouses, Google, certification readiness, workplace application and visible next-step links so learners can compare this course with related CourseMonster programmes.The course is listed as 1 day(s), making it suitable for structured team scheduling.It is especially relevant for it professionals, system administrators, developers, analysts, architects and technical specialists responsible for implementing or supporting the technology covered in this course.

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Audience

IT professionals, system administrators, developers, analysts, architects and technical specialists responsible for implementing or supporting the technology covered in this course.

Skills Gained

By completing the Modernizing Data Lakes and Data Warehouses with Google Cloud GCPMDLDW course participants will gain practical knowledge, configuration skills, implementation techniques and best practice understanding relevant to real enterprise environments.

Useful links: Google Cloud training | Cloud Computing training at CourseMonster | CourseMonster course page

Additional workplace outcomes: Participants can explain where Modernizing Data Lakes and Data Warehouses with Google Cloud Training Course | CourseMonster fits in a wider Google Cloud skills roadmap, identify related certifications or follow-on courses, and apply the concepts to real project, operations or service delivery scenarios.

Prerequisites

Participants should have basic familiarity with the technology area related to Modernizing Data Lakes and Data Warehouses with Google Cloud GCPMDLDW. Some courses may recommend prior experience or foundational training.

Outline

Introduction to Data Engineering
This module discusses the role of data engineering and motivates the claim why data engineering should be done in the Cloud
  • Module introduction
  • The role of a data engineer
  • Data engineering challenges
  • Introduction to BigQuery
  • Data lakes and data warehouses
  • Transactional databases versus data warehouses
  • Partner effectively with other data teams
  • Manage data access and governance
  • Demo: Finding PII in your dataset with the DLP API
  • Build production-ready pipelines
  • Google Cloud customer case study
  • Lab Intro: Using BigQuery to do Analysis
  • LAB: Using BigQuery to do Analysis: In this lab, you analyze 2 different public datasets, run queries on them, separately and then combined, to derive interesting insights.
  • QUIZ
Building a Data Lake
In this module, we describe what data lake is and how to use Cloud Storage as your data lake on Google Cloud.
  • Module Introduction
  • Introduction to data lakes
  • Data storage and ETL options on Google Cloud
  • Build a data lake using Cloud Storage
  • Secure Cloud Storage
  • Store all sorts of data types
  • Cloud SQL as a relational data lake
  • Lab Intro: Loading Taxi Data into Google Cloud SQL
  • LAB: Loading Taxi Data into Google Cloud SQL 2.5:In this lab you will import data from CSV text files into Cloud SQL and then carry out some basic data analysis using simple queries.
  • QUIZ
Building a Data Warehouse
In this module, we talk about BigQuery as a data warehousing option on Google Cloud
  • Module Introduction
  • The modern data warehouse
  • Introduction to BigQuery
  • Demo: Querying TB of data in seconds
  • Get started with BigQuery
  • Load data into BigQuery
  • Lab Intro: Loading Data into BigQuery
  • LAB: Loading data into BigQuery: This lab focuses on how to ingest data into tables inside of BigQuery.
  • Explore schemas
  • Demo: Exploring Schemas
  • Schema design
  • Nested and repeated fields
  • Demo: Nested and repeated fields
  • Design the optimal schema for BigQuery
  • Lab Intro: Working with JSON and Array data in BigQuery
  • LAB: Working with JSON and Array data in BigQuery 2.5: In this lab you will work with semi-structured data (ingesting JSON, Array data types) inside of BigQuery. You will practice loading, querying, troubleshooting, and unnesting various semi-structured datasets.
  • Optimize with partitioning and clustering
  • Lab Intro: Partitioned Tables in BigQuery
  • LAB: Partitioned Tables in Google BigQuery:This lab focuses on how to query partitioned datasets and how to create your own dataset partitions to improve query performance, which reduces cost.
  • Review
  • QUIZ
. Explore more Cloud traininghere

Useful links: Google Cloud training | Cloud Computing training at CourseMonster | CourseMonster course page

Suggested learning path: After this course, compare related options via the links in the overview and the Google Cloud training category.

Certification

Exam and certification details

This course may support a vendor exam, digital badge or professional certification depending on the selected delivery option. Delegates should confirm exam inclusion, voucher availability, prerequisites, pass mark and version before booking.

Official vendor training information: Google Cloud training.

Is Modernizing Data Lakes and Data Warehouses with Google Cloud GCPMDLDW right for me?

This course is for learners who want structured, expert-led training in professional development with practical workplace outcomes.

What will I learn on Modernizing Data Lakes and Data Warehouses with Google Cloud GCPMDLDW?

You will build practical professional development skills, understand key concepts and apply the course outcomes in real workplace scenarios.

Does Modernizing Data Lakes and Data Warehouses with Google Cloud GCPMDLDW include exam preparation?

Yes, this course supports certification or exam preparation where included in the selected delivery option.

What should I do after Modernizing Data Lakes and Data Warehouses with Google Cloud GCPMDLDW?

Compare related CourseMonster courses and follow-on pathways to choose the best next step for your role or team.

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Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

Submit an enquiry from any page on this site and let us know you are interested in the requirements box, or simply mention it when we contact you.

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LVC = Live Virtual Class

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