Udemy – GCP – Google Cloud Data Professional Engineer Certification 2021-9 – Download

Descriptions

GCP – Google Cloud Data Engineer Professional Certification, Google Cloud Platform. GCP is the fastest growing public cloud. The PDE (Professional Cloud Data Engineer) certification helps you deploy a data pipeline inside the GCP cloud. This course includes over 16 hours of insanely great video content and over 80 hands-on activities (the most hands-on course yet). Google Cloud: The Cloud Data Engineer Professional Certification is the best way to invest your time and energy in scaling your data storage and processing needs. I’m excited to help you on your path to Google Cloud Professional Cloud Data Engineer Certification. So, I’ve created the most practical, comprehensive course that will prepare you for the Professional Cloud Data Engineer certification, with over 16 hours of HD video content. Different types of data: Structured data, semi-structured data, unstructured data, some concepts related to batch processing and streaming data. GCP related concepts such as GCP region and zones, how to create a GCP account and various GCP services offered based on data. ,Engineering Perspective. We’ll then look at core GCP infrastructure services such as IAM, VM, Kubernetes provisioning, application engine, cloud running, and cloud function deployment.

What will you learn

Get to know the basic concept of data processing and database
Providing basic GCP infrastructure services – virtual machine, container, GKE, GAE, Cloud Run.
Explore various storage products like cloud storage, disk, file storage for unstructured data.
Data structuring solution – SQL, Spanner, BigQuery
Store massive semi-structure data in BigTable,Datastore.
Deployment of a data pipeline in various data processing products – DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Composer (Airflow).
Clean, process and prepare your data with DataPrep
Machine Learning Fundamentals and GCP Solution Product
Finding Data in the Data Catalog
Visualize your data by creating reports and dashboards using Google Data Studio.
Use ready-made ML (vision, language, speech) API in your application.
Apply Auto ML to your own data to build a model.

Who is this course for?

Cloud engineer seeking Google Cloud Data Engineer certification.
Anyone who wants to use Google Cloud for their organization’s data pipeline.
A data engineer who wants to learn various GCP data engineering products.
Anyone who wants to learn about various storage products and databases for storing data.
Anyone who wants to deploy an ML model/data pipeline on Google Cloud.