Google Data Engineer: Google Cloud Certified - Professional Data Engineer (2024 update)
Certification Exam:
- 15 Courses | 13h 54m 50s
- 2 Books | 17h 38m
- 5 Courses | 6h 1m 18s
Acquire knowledge of building and maintaining data processing systems, and data analysis as you prepare for the Data Engineer certification.
GETTING STARTED
GCP Data Engineer Pro: Becoming a Google Cloud Data Engineer
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1m 27s
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6m 22s
COURSES INCLUDED
Platform Fundamentals
Google Cloud Platform offers several solutions to streamline any enterprise while keeping costs low. Explore these benefits, including how to navigate GCP and choose between the various data processing products it provides.
9 videos |
43m
Assessment
Badge
Storage & Analytics
Google Cloud Platform (GCP) offers several services for analytics and storage. Explore the storage, compute, and analytics concepts and how they are tied together.
13 videos |
1h 7m
Assessment
Badge
Deeper through GCP Analytics & Scaling
The big data industry is getting bigger, and GCP has several management tools designed for common use cases. Explore common concepts and use cases, including analytics tools and operations.
10 videos |
38m
Assessment
Badge
GCP Network Data Processing Models
You can create and manage an assortment of data processes and network models using GCP. Explore the various types, including using a GPU and TensorFlow to create and manage GPU and instances.
10 videos |
35m
Assessment
Badge
Dataproc
GCP provides fully managed cloud services for running Apache Spark and Hadoop. Explore the concepts of cluster management with Dataproc, including machine types and workers.
10 videos |
35m
Assessment
Badge
Dataproc Architecture
Dataproc can be used to perform several operations when integrating platforms, including Pig and Hive. Explore Dataproc architecture while introducing the use of Pig and Hive.
10 videos |
40m
Assessment
Badge
Dataproc Operations
Executing Dataproc implementations with big data can provide a variety of methods. Examine Dataproc implementations with Spark and Hadoop using the cloud shell and introduce BigQuery PySpark REPL package.
10 videos |
52m
Assessment
Badge
Implementations with BigQuery for Big Data
You can query big data using the BigQuery tool in the Google Cloud Platform. Discover the concepts of using BigQuery, including querying data and using the Google API.
11 videos |
1h 11m
Assessment
Badge
Fundamentals of BigQuery
BigQuery is an essential tool for any data analyst using Google Cloud Platform. Explore BigQuery and examine several operations including multiple table queries, nested and repeated fields and building BigQueries.
10 videos |
1h 13m
Assessment
Badge
APIs & Machine Learning
Machine learning and ML APIs are part of the Cloud ML engine. Explore the various ML APIs and how to implement an app that uses the Vision API.
9 videos |
59m
Assessment
Badge
Dataflow Autoscaling Pipelines
Apache Beam, Cloud Dataflow, and Cloud Dataprep can be used to create data pipelines. Explore how areas of Beam, Apache Beam SDK, Cloud Dataflow, and Cloud Dataprep assist in pipeline management.
10 videos |
37m
Assessment
Badge
Machine Learning with TensorFlow & Cloud ML
Cloud ML combines the Google Cloud Platform with TensorFlow to create models at scale. Explore concepts behind TensorFlow and scaling, as well as training models locally and in the cloud.
14 videos |
1h 19m
Assessment
Badge
GCP Engineering & Streaming Architecture
Feature engineering can be an essential tool in applied machine learning when enhancing a dataset. Explore concepts of feature engineering, including areas of streaming architecture and implementations.
12 videos |
1h 9m
Assessment
Badge
Streaming Pipelines & Analytics
Streaming data pipelines require operations that are very different from batch operations. Explore data stream operations, analytics, and the Google Data Studio visualization tool.
12 videos |
1h 2m
Assessment
Badge
GCP Big Data & Security
Complex operations require more managed and secure systems. Explore the use of Cloud Spanner and Bigtable to create more complex data service configurations and managing secure data infrastructure.
11 videos |
1h 7m
Assessment
Badge
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COURSES INCLUDED
GCP Data Engineer Pro: Becoming a Google Cloud Data Engineer
Data engineers collect data points. Each of these points-representing sales, user interactions, website visits, and more-tells a story, waiting to be deciphered. In this course, you will explore the role of a cloud data engineer, including job responsibilities, main activities, and key skills. You will discover how the data engineer role differs from other cloud-focused roles, such as a cloud developer or DevOps engineer. Then, you will focus on the Google Professional Data Engineer exam, identifying exam preparation resources and investigating practice questions to see what the exam might be like. This course is one of a collection that prepares learners for the Google Professional Data Engineer exam.
10 videos |
39m
Assessment
Badge
GCP Data Engineer Pro: Navigating the Google Cloud Platform
In the ever-evolving field of data engineering, a solid understanding of the foundational elements of Google Cloud Platform (GCP) is essential. In this course, you will ensure that your foundational knowledge of how Google Cloud Platform operates is in place before moving to the more specific elements that are core to the role of the data engineer. You will review the basic GCP services and configurations, including using the Google Cloud Console and command line interface (CLI) to define security settings using identity and access management (IAM) and navigate a new project and virtual machine. This course is one of a collection that prepares learners for the Google Professional Data Engineer exam.
12 videos |
1h 5m
Badge
GCP Data Engineer Pro: Building Robust Data Structures
Just as architects draft blueprints to create resilient structures, you'll learn to design robust data storage solutions, ensuring your data's integrity and accessibility. This course lays the cornerstone for building a comprehensive understanding of Google Cloud Platform's (GCP) data services, equipping you with the skills to erect a formidable edifice of knowledge in the cloud computing landscape. In this course you will explore the world of GCP's data management, covering everything from storage architectures to data lake best practices. You'll learn to choose and manage storage services, design data models for warehouses, and normalize data. Next, you will discover how data access shapes warehouse architecture, explore GCP data lakes, and master cost control and access best practices. Finally, you will gain proficiency in data processing, monitoring on GCP, and constructing a data mesh with robust governance. This course is one of a collection that prepares learners for the Google Professional Data Engineer exam.
14 videos |
1h 23m
Assessment
Badge
GCP Data Engineer Pro: Creating a Pipeline of Services
Just as landmarks guide you on a journey, the services covered in this course will serve as pivotal markers, steering you through the construction and optimization of robust data pipelines in the expansive landscape of Google Cloud. In this course, you'll uncover the essentials of data pipelines for analysis, learn about Google Cloud's data storage services, and automate data ingestion with Cloud Datastream and Pub/Sub. You'll delve into Hadoop and Hadoop Distributed File System (HDFS), compare Apache Kafka with Google services, and explore use cases for Cloud Data Fusion, Dataproc, Dataflow, and Beam. You'll also analyze BigQuery's role in data analysis and contrast it with MapReduce and Apache Spark, culminating in integrating Google Vertex AI for enhanced data analytics. This course is one of a collection that prepares learners for the Google Professional Data Engineer exam.
13 videos |
1h 11m
Assessment
Badge
GCP Data Engineer Pro: Google Cloud Unstructured Data
In today's data-driven world, effective data management is crucial for businesses to thrive. In this course you will learn to select the correct storage class, ensuring efficiency and cost-effectiveness. Discover how to strategically choose bucket locations, optimizing for latency and compliance. Then you will encounter how to configure storage settings to manage object life cycles and secure objects with access control. Next you will explore Google Persistent Disk and Google Filestore. Finally, you will navigate through the pricing of Google Cloud Storage. This course is one of a collection that prepares learners for the Google Professional Data Engineer exam.
18 videos |
1h 40m
Badge
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EARN A DIGITAL BADGE WHEN YOU COMPLETE THESE COURSES
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.BOOKS INCLUDED
Book
Google Cloud Platform in ActionThis book teaches you to build and launch applications that scale, leveraging the many services on GCP to move faster than ever.
10h 19m
By JJ Geewax
Book
Official Google Cloud Certified Professional Data Engineer Study GuideYour ace in the hole for deploying and managing analytics and machine learning applications, this book provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Professional Data Engineer certification.
7h 19m
By Dan Sullivan
