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

  • Learn via: Classroom
  • Duration: 1 Day
  • Level: Intermediate
  • Price: From €1,365+VAT
We can host this training at your preferred location. Contact us!

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


Contact us for more detail about our trainings and for all other enquiries!

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.

Classroom / Virtual Classroom
09 juli 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
16 juli 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
19 juli 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
24 juli 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
09 august 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
14 august 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
11 september 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
17 september 2024
Oslo, Bergen, Trondheim
1 Day
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.
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