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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.

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

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Upcoming Trainings

Join our public courses in our Norway facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

10 januar 2025 (1 Day)
Oslo, Bergen, Trondheim
Classroom / Virtual Classroom

24 januar 2025 (1 Day)
Oslo, Bergen, Trondheim
Classroom / Virtual Classroom

28 januar 2025 (1 Day)
Oslo, Bergen, Trondheim
Classroom / Virtual Classroom

€1,365 +VAT
Book Now

10 januar 2025 (1 Day)
Oslo, Bergen, Trondheim
Classroom / Virtual Classroom

10 februar 2025 (1 Day)
Oslo, Bergen, Trondheim
Classroom / Virtual Classroom

24 januar 2025 (1 Day)
Oslo, Bergen, Trondheim
Classroom / Virtual Classroom

28 januar 2025 (1 Day)
Oslo, Bergen, Trondheim
Classroom / Virtual Classroom

€1,365 +VAT
Book Now

10 februar 2025 (1 Day)
Oslo, Bergen, Trondheim
Classroom / Virtual Classroom

Modernizing Data Lakes and Data Warehouses with Google Cloud Training Course in Norway

The Nordic country Norway, is in Northern Europe. Known for its stunning natural beauty, including fjords, mountains, and forests, Norway is also famous for its high standard of living and strong social welfare system. Norway's capital and largest city is Oslo. Tromsø, Bergen, Trondheim and Stavanger are the other tourist attracting cities of Norway.

Norway is a constitutional monarchy with King Harald V as the head of state. The country has a population of 5,425,270 as of January 2022. Norway is a relatively small country and has a relatively low population density, with much of its land area covered by forests, mountains, and fjords. Despite its small size, Norway is known for its rich cultural heritage, strong economy, and stunning natural beauty, which attracts millions of visitors every year. This Nordic country is also known for its winter sports, such as skiing and snowboarding, and is a popular destination for outdoor enthusiasts.

Norway has a long history of invention and is home to numerous more top-tier tech firms and research facilities, such as; Kongsberg Gruppen, Telenor, Atea, Evry and Gjensidige Forsikring.

Due to the country's high latitude, there are large seasonal variations in daylight. From late May to late July, the sun never completely descends beneath the horizon. Which attracts many tourists around the world to see the "Land of the Midnight Sun". Tourists mainly visit Sognefjord, Norway's Largest Fjord, Pulpit Rock, one of the most photographed sites in Norway and of course the capital; Oslo.

Oslo is considered the business center of Norway. It is the country's largest city and the capital of Norway. The city is home to many of Norway's largest and most important companies, as well as several international organizations and research institutions. Additionally, the city is a popular tourist destination, known for its scenic location on the Oslo Fjord, its many museums and cultural attractions, and its vibrant nightlife and dining scene. Some of the most popular museums in Oslo are The Norwegian Museum of Cultural History, The Nobel Peace Center, The National Museum of Art, Architecture, and Design, The Munch Museum and The Vigeland Museum.

Modernizing Data Lakes and Data Warehouses with Google Cloud Training in Norway

Outline

Upcoming Trainings