Data Engineering on Google Cloud Platform (DEGCP)
- Tijdsduur
Data Engineering on Google Cloud Platform (DEGCP)
Opleiderscore:
Startdata en plaatsen
Fast Lane biedt haar producten standaard aan in de volgende regio's: Utrecht
Beschrijving
Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show you how to design data processing systems, b...
Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data.
- Design and build data processing systems on Google Cloud.
- Process batch and streaming data by implementing autoscaling data pipelines on Dataflow.
- Derive…
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Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show you how to design data processing systems, b...
Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data.
- Design and build data processing systems on Google Cloud.
- Process batch and streaming data by implementing autoscaling data
pipelines on Dataflow.
- Derive business insights from extremely large datasets using
BigQuery.
- Leverage unstructured data using Spark and ML APIs on
Dataproc.
- Enable instant insights from streaming data.
- Understand ML APIs and BigQuery ML, and learn to use AutoML to
create powerful models without coding.
This class is intended for developers who are responsible
for:
- Extracting, loading, transforming, cleaning, and validating
data.
- Designing pipelines and architectures for data processing.
- Integrating analytics and machine learning capabilities into data
pipelines.
- Querying datasets, visualizing query results, and creating
reports.
Module 01 - Introduction to Data Engineering
Topics:
Explore the role of a data engineer.
- Analyze 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
- Build production-ready pipelines
- Review Google Cloud customer case study
Objectives:
- Understand the role of a data engineer
- Discuss benefits of doing data engineeri...
Fast Lane werkt met Nederlandse trainers die didactische vaardigheden combineren met veel practische ervaring.
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Deel je ervaring
Heb je ervaring met deze cursus? Deel je ervaring en help anderen kiezen. Als dank voor de moeite doneert Springest € 1,- aan Stichting Edukans.Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.