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

  • 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 Germany facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
09 Juli 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
16 Juli 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
19 Juli 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
24 Juli 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
09 August 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
14 August 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
11 September 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
17 September 2024
Berlin, Hamburg, Münih
1 Day
Modernizing Data Lakes and Data Warehouses with Google Cloud Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.


Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.