Course: Google Professional Data Engineer (Exam PDE)
duration: 24 hours |
Language: English (US) |
access duration: 90 days |
Details
In this online Google Data Engineer training we will handle all facets of the certificate: Professional Data Engineer. A professional data engineer enables data-driven decision making by collecting, transforming and visualizing data.
The Data Engineer analyzes data to understand business results, builds statistical models to support decision making and creates machine learning models for automating and simplifying important business processes.
The training demonstrates the following:
- Build and maintain data structures and databases;
- Design of data processing systems;
- Analyze data and make machine learning possible;
- Modeling business processes for analysis and optimization;
- Designing in the field of reliability;
- Visualize data / data to underpin policy;
- Design for security and compliance.
Result
You are familiar with the role of Data Engineer on the Google Cloud Platform. You are also prepared for the official Google exam: Professional Data Engineer.
Prerequisites
No specific prior knowledge required.
Target audience
Data analist
Content
Google Professional Data Engineer (Exam PDE)
Google Cloud Platform Fundamentals
Google Cloud Platform Storage and Analytics
Google Cloud Platform (GCP) offers several
Deeper through GCP Analytics and Scaling
Deeper through GCP Analytics and Scaling
GCP Network Data Processing Models
You can create and manage an assortment of data processes and
network models using GCP. This course will go through the various
types, including using a GPU and TensorFlow to create and manage
GPU and instances.
Google Cloud Dataproc
GCP provides fully managed cloud services for running Apache
Spark and Hadoop. This course will introduce you to the concepts of
cluster management with Dataproc, including machine types and
workers.
Dataproc Architecture
Dataproc can be used to perform several operations when
integrating platforms, including Pig and Hive. This course will dig
further into Dataproc architecture while introducing the use of Pig
and Hive.
Continued Dataproc Operations
Executing Dataproc implementations with big data can provide a
variety of methods. This course will continue the study of Dataproc
implementations with Spark and Hadoop using the cloud shell and
introduce BigQuery PySpark REPL package.
Implementations with BigQuery for Big Data
Implementations with BigQuery for Big Data
Fundamentals of Big Query
BigQuery is an essential tool for any data
APIs and Machine Learning
APIs and Machine Learning
Dataflow Autoscaling Pipelines
Apache Beam, Cloud Dataflow, and Cloud Dataprep can be used to
create data pipelines. In this course, you will learn how areas of
Beam, Apache Beam SDK, Cloud Dataflow, and Cloud Dataprep assist in
pipeline management.
Machine Learning with TensorFlow and Cloud ML
Machine Learning with TensorFlow and Cloud ML
GCP Engineering and Streaming Architecture
Feature engineering can be an essential tool in applied machine
learning when enhancing a dataset. In this course, you will learn
about concepts of feature engineering, including areas of streaming
architecture and implementations.
Streaming Pipelines and Analytics
Streaming data pipelines require operations that are very
different from batch operations. This course introduces data stream
operations, analytics, and the Google Data Studio visualization
tool.
GCP Big Data and Security
Complex operations require more managed and secure systems. This
course will explore the use of Cloud Spanner and Bigtable to create
more complex data service configurations and managing secure data
infrastructure.
Course options
We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.
Optional practice exam (trial exam)
To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam.
Optional practice lab
To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediately. The lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience.
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What is included?
Certificate of participation | Yes |
Monitor Progress | Yes |
Award Winning E-learning | Yes |
Mobile ready | Yes |
Sharing knowledge | Unlimited access to our IT professionals community |
Study advice | Our consultants are here for you to advice about your study career and options |
Study materials | Certified teachers with in depth knowledge about the subject. |
Service | World's best service |
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