Contact Us info@learnquest.com
??WelcomeName??

BROWSE CATALOG

??WelcomeName??
    Training
|
    Solutions
|
    Company
|
    Offers
| |
Contact Us 877-206-0106 |
LearnQuest is the top Global Training Provider for some of the world's biggest brands.

Login

Please enter your Username and Password

New User? Register Here >

Request Information

Please Complete this form and Click Submit

By submitting this form, I agree to LearnQuest's Terms and Conditions

photo

Thank you for your interest in LearnQuest.

Your request is being processed and LearnQuest or a LearnQuest-Authorized Training Provider will be in touch with you shortly.

photo

Thank you for your interest in Private Training.

We look forward to helping you develop the perfect training solution to help you meet your company's goals.

For immediate assistance, speak with one of our representatives using the chat module below. Otherwise, LearnQuest or a LearnQuest-Authorized Training Provider will be in touch with you shortly.

photo

Thank you for your interest in LearnQuest!

Now, you will be able to stay up-to-date on our latest course offerings, promotions, and training discounts. Watch your inbox for upcoming special offers.

Categories Data and Machine Learning Data Engineering

Data Engineering on Google Cloud Platform

Google Training

Course #: GCP-250
Duration: 4 Days
Price: 2,660.00 USD
Prices reflect a 20% discount for IBM employees
 Prices shown are the special AWS Partner Price
 Prices reflect the Capgemini employee discount
 Prices reflect the UPS employee discount
 GSA Public Price: ??gsa-public-price??
GSA Private/Onsite Price: ??gsa-private-price??
For GSA pricing, go to GSA Advantage! Delivery Formats
Material: LearnGreen (pdf)

IT Management, Business

Delivery Formats

This course is eligible for the IBM Full Access Training Pass. Get your subscription for a full year.

 

Classroom Schedule

Virtual Schedule Virtual Training Facts

Close

Guaranteed To Run
Location Distance
Delivered By
Language
Date
Price
Unfilter
Date
Price
Loc

Language
GTR
Virtual
LearnQuest
English
25-Jan to 28-Jan
9AM - 5PM
US Eastern
2,660.00 USD
Quote
ENROLL
25-Jan to 28-Jan
2,660.00 USD
Virtual
LearnQuest
Enroll
9AM
US Eastern
English

Quote
Virtual
LearnQuest
English
22-Feb to 25-Feb
9AM - 5PM
US Eastern
2,660.00 USD
Quote
ENROLL
22-Feb to 25-Feb
2,660.00 USD
Virtual
LearnQuest
Enroll
9AM
US Eastern
English

Quote

Not seeing what you want? Contact us

View our Global Training Schedule

Not seeing what you want? Contact us

View our Global Training Schedule

Classroom Schedule

Virtual Schedule

Close

 

There are no virtual classes on the schedule in your country. There are no public classes currently scheduled in your country.
View our global class schedule
This course is available in private, mentoring or e-learning options.

Complete this form, and a Training Advisor will be in touch with you shortly to address your training needs.

 

By submitting this form, I agree to LearnQuest's Terms and Conditions

View our Global Training Schedule

??elearning-section??

Request Private Training

Delivery Formats

Close

Tell us a little about yourself:

By submitting this form, I agree to LearnQuest's Terms and Conditions

All Courses Backed by the LearnQuest 100% Satisfaction Guarantee

Course Description

This Data Engineering on Google Cloud Platform course is designed to provide participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data.

 


Objectives

The Data Engineering on Google Cloud Platform course teaches participants the following skills:
  • Design and build data processing systems on Google Cloud Platform
  • 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
  • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
  • Enable instant insights from streaming data

Audience

The Data Engineering on Google Cloud Platform course 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

Prerequisites

  • Completed Google Cloud Fundamentals: Big Data & Machine Learning 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 Python
  • Familiarity with Machine Learning and/or statistics

Topics

Introduction to Data Engineering
  • Explore the role of a data engineer.
  • Analyze data engineering challenges.
  • Intro to BigQuery.
  • Data Lakes and Data Warehouses.
  • Demo: Federated Queries with BigQuery.
  • Transactional Databases vs Data Warehouses.
  • Website Demo: Finding PII in your dataset with DLP API.
  • Partner effectively with other data teams.
  • Manage data access and governance.
  • Build production-ready pipelines.
  • Review GCP customer case study.
  • Lab: Analyzing Data with BigQuery.
Building a Data Lake
  • Introduction to Data Lakes.
  • Data Storage and ETL options on GCP.
  • Building a Data Lake using Cloud Storage.
  • Optional Demo: Optimizing cost with Google Cloud Storage • classes and Cloud Functions.
  • Securing Cloud Storage.
  • Storing All Sorts of Data Types.
  • Video Demo: Running federated queries on Parquet and ORC files in BigQuery.
  • Cloud SQL as a relational Data Lake.
  • Lab: Loading Taxi Data into Cloud SQL.
Building a Data Warehouse
  • The modern data warehouse.
  • Intro to BigQuery.
  • Demo: Query TB+ of data in seconds.
  • Getting Started.
  • Loading Data.
  • Video Demo: Querying Cloud SQL from BigQuery.
  • Lab: Loading Data into BigQuery.
  • Exploring Schemas.
  • Demo: Exploring BigQuery Public Datasets with SQL using • INFORMATION_SCHEMA.
  • Schema Design.
  • Nested and Repeated Fields.
  • Demo: Nested and repeated fields in BigQuery.
  • Lab: Working with JSON and Array data in BigQuery.
  • Optimizing with Partitioning and Clustering.
  • Demo: Partitioned and Clustered Tables in BigQuery.
  • Preview: Transforming Batch and Streaming Data.
Introduction to Building Batch Data Pipelines,
  • EL, ELT, ETL.
  • Quality considerations.
  • How to carry out operations in BigQuery.
  • Demo: ELT to improve data quality in BigQuery.
  • Shortcomings.
  • ETL to solve data quality issues.
Executing Spark on Cloud Dataproc
  • The Hadoop ecosystem.
  • Running Hadoop on Cloud Dataproc.
  • GCS instead of HDFS.
  • Optimizing Dataproc.
  • Lab: Running Apache Spark jobs on Cloud Dataproc.
Serverless Data Processing with Cloud Dataflow
  • Cloud Dataflow.
  • Why customers value Dataflow.
  • Dataflow Pipelines.
  • Lab: A Simple Dataflow Pipeline (Python/Java).
  • Lab: MapReduce in Dataflow (Python/Java).
  • Lab: Side Inputs (Python/Java).
  • Dataflow Templates.
  • Dataflow SQL.
Manage Data Pipelines with Cloud Data Fusion and Cloud Composer
  • Building Batch Data Pipelines visually with Cloud Data Fusion.
  • Components.
  • UI Overview.
  • Building a Pipeline.
  • Exploring Data using Wrangler.
  • Lab: Building and executing a pipeline graph in Cloud Data Fusion.
  • Orchestrating work between GCP services with Cloud Composer.
  • Apache Airflow Environment.
  • DAGs and Operators.
  • Workflow Scheduling.
  • Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery.
  • Monitoring and Logging.
  • Lab: An Introduction to Cloud Composer.
Introduction to Processing Streaming Data
  • Processing Streaming Data.
Serverless Messaging with Cloud Pub/Sub
  • Cloud Pub/Sub.
  • Lab: Publish Streaming Data into Pub/Sub.
Cloud Dataflow Streaming Features
  • Cloud Dataflow Streaming Features.
  • Lab: Streaming Data Pipelines.
High-Throughput BigQuery and Bigtable Streaming Features
  • BigQuery Streaming Features.
  • Lab: Streaming Analytics and Dashboards.
  • Cloud Bigtable.
  • Lab: Streaming Data Pipelines into Bigtable.
Advanced BigQuery Functionality and Performance
  • Analytic Window Functions.
  • Using With Clauses.
  • GIS Functions.
  • Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz.
  • Performance Considerations.
  • Lab: Optimizing your BigQuery Queries for Performance.
  • Optional Lab: Creating Date-Partitioned Tables in BigQuery.
Introduction to Analytics and AI
  • What is AI?.
  • From Ad-hoc Data Analysis to Data Driven Decisions.
  • Options for ML models on GCP.
Prebuilt ML model APIs for Unstructured Data
  • Unstructured Data is Hard.
  • ML APIs for Enriching Data.
  • Lab: Using the Natural Language API to Classify Unstructured Text.
Big Data Analytics with Cloud AI Platform Notebooks
  • Whats a Notebook.
  • BigQuery Magic and Ties to Pandas.
  • Lab: BigQuery in Jupyter Labs on AI Platform.
Production ML Pipelines with Kubeflow
  • Ways to do ML on GCP.
  • Kubeflow.
  • AI Hub.
  • Lab: Running AI models on Kubeflow.
Custom Model building with SQL in BigQuery ML
  • BigQuery ML for Quick Model Building.
  • Demo: Train a model with BigQuery ML to predict NYC taxi fares.
  • Supported Models.
  • Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML.
  • Lab Option 2: Movie Recommendations in BigQuery ML.
Custom Model building with Cloud AutoML
  • Why Auto ML?
  • Auto ML Vision.
  • Auto ML NLP.
  • Auto ML Tables.
 

Reviews

We Guarantee You'll be Satisfied

At LearnQuest, our goal is always the same: to provide the highest quality training and service to each and every customer.

If you’re not satisfied for any reason, simply contact one of our Training Advisors for assistance with your concerns.

Enrollment Options

Select the Training Provider you would like to use

Already have an account?

Enroll with LearnQuest >

Enroll with Our Partner >

You will be leaving the LearnQuest Website

*If using Apple Training Credits or LearnPass, you must enroll with LearnQuest

Stay up-to-date with LearnQuest training opportunities and events

Contact Us

Toll Free 877-206-0106
 Telephone 610-206-0101
 Email info@learnquest.com

Follow Us

Training

Solutions

Company

©LearnQuest, Inc. | Terms of Service | Knowledge Base | Country: United States
heres the new schedule
This website uses third-party profiling cookies to provide services in line with the preferences you reveal while browsing the Website. By continuing to browse this Website, you consent to the use of these cookies. If you wish to object such processing, please read the instructions described in our Privacy Policy.