Data Engineering on Google Cloud Platform (DEGCP)

 

Course Overview

Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-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.

Who should attend

This class is intended for experienced developers who are responsible for managing big data transformations including:

  • Extracting, loading, transforming, cleaning, and validating data.
  • Designing pipelines and architectures for data processing.
  • Creating and maintaining machine learning and statistical models.
  • Querying datasets, visualizing query results and creating reports

Certifications

This course is part of the following Certifications:

Prerequisites

To get the most of out of this course, participants should have:

  • Completed Google Cloud Fundamentals: Big Data and Machine Learning (GCF-BDM) course OR have equivalent experience
  • Basic proficiency with common query language such as SQL Experience with data modeling, extract, transform, load activities.
  • Developing applications using a common programming language such as Python Familiarity with basic statistics

Course Objectives

  • Design and build data processing systems on Google Cloud Platform.
  • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc.
  • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow.
  • Derive business insights from extremely large datasets using Google BigQuery.
  • Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML.
  • Enable instant insights from streaming data

Course Content

  • Module 1: Introduction to Data Engineering
  • Module 2: Building a Data Lake
  • Module 3: Building a Data Warehouse
  • Module 4: Introduction to Building Batch Data Pipelines,
  • Module 5: Executing Spark on Cloud Dataproc
  • Module 6: Serverless Data Processing with Cloud Dataflow
  • Module 7: Manage Data Pipelines with Cloud Data Fusion and Cloud Composer
  • Module 8: Introduction to Processing Streaming Data
  • Module 9: Serverless Messaging with Cloud Pub/Sub
  • Module 10: Cloud Dataflow Streaming Features
  • Module 11: High-Throughput BigQuery and Bigtable Streaming Features
  • Module 12: Advanced BigQuery Functionality and Performance
  • Module 13: Introduction to Analytics and AI
  • Module 14: Prebuilt ML model APIs for Unstructured Data
  • Module 15: Big Data Analytics with Cloud AI Platform Notebooks
  • Module 16: Production ML Pipelines with Kubeflow
  • Module 17: Custom Model building with SQL in BigQuery ML
  • Module 18: Custom Model building with Cloud AutoML
Online Training

Duration 4 days

Classroom Training

Duration 4 days

Schedule

English
5 hours difference
Online Training This is a FLEX course.
Time zone: IST
6 hours difference
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
7 hours difference
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
9 hours difference
Online Training This is a FLEX course.
Time zone: British Summer Time (BST)
10 hours difference
Online Training This is a FLEX course.
Time zone: Central European Time (CET)
Online Training This is a FLEX course.
Time zone: British Summer Time (BST)
11 hours difference
Online Training Time zone: Greenwich Mean Time (GMT)
Online Training This is a FLEX course.
Time zone: Greenwich Mean Time (GMT)
14 hours difference
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
15 hours difference
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
16 hours difference
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)
17 hours difference
Online Training Time zone: Central Standard Time (CST)
Online Training Time zone: Central Standard Time (CST)
Guaranteed date:   iTLS will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.
Asia Pacific
India
Bangalore This is a FLEX course in English language.   Time zone: Asia/Calcutta US$ 1,295.— Enroll
Guaranteed date:   iTLS will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
This is a FLEX course, which is delivered both virtually and in the classroom.