Course information

Data Engineering with Google Cloud Platform Training Course Outline

Module 1: Google Cloud Dataproc Overview

  • Dataproc Overview
  • Creating and Managing Clusters
  • Custom Machine Types and Preemptible Worker Nodes
  • Scaling and Deleting Clusters
  • Creating Hadoop Clusters with Google Cloud Dataproc

 

Module 2: Running Dataproc Jobs

  • Running Pig and Hive Jobs
  • Separation of Storage and Compute
  • Running Hadoop and Spark Jobs with Dataproc
  • Submit and Monitor Jobs

 

Module 3: Integrating Dataproc with Google Cloud Platform

  • Customize Cluster with Initialization Activities
  • BigQuery Support
  • GCP Services

 

Module 4: Unstructured Data with Google’s Machine Learning APIs

  • Machine Learning APIs
  • Use Cases of ML
  • Adding Machine Learning Capabilities to Big Data

 

Module 5: Serverless Data Analysis with BigQuery

  • BigQuery Overview
  • Functions and Queries
  • Writing Queries in BigQuery

 

Module 6: Serverless, Autoscaling Data Pipelines with Dataflow

  • Beam Programming Model Overview
  • Data Pipelines
  • Writing a Dataflow Pipeline
  • Scalable Big Data Processing Using Beam
  • MapReduce in Dataflow
  • Phases in MapReduce in Dataflow
  • Steps of Dataflow
  • Incorporating Additional Data
  • Side Inputs in Apache Beam
  • Querying Multiple Tables

 

Module 7: Getting Started with Machine Learning

  • What is Machine Learning (ML)?
  • Types of Machine Learning
  • Explore and Create ML Datasets

 

Module 8: Building ML Models with TensorFlow

  • Understand TensorFlow
  • TensorFlow Graphs and Loops
  • Use Low-Level TensorFlow
  • Monitoring ML Training
  • Charts and Graphs of TensorFlow

 

Module 9: Scaling ML Models with CloudML

  • Cloud ML Overview
  • TensorFlow Model
  • Running of ML Model

 

Module 10: Architecture of Streaming Analytics Pipelines

  • Understand Stream Data Processing
  • Handling Variable Data Volumes
  • Designing a Streaming Pipeline

 

Module 11: Ingesting Variable Volumes

  • Cloud Pub/Sub Overview
  • Working of Cloud Pub/Sub

 

Module 12: Implementing Streaming Pipelines

  • Stream Processing Overview
  • Watermark
  • Triggers

 

Module 13: Streaming Analytics and Dashboards

  • Streaming Analytics Overview
  • Querying Streaming Data with BigQuery
  • Google Data Studio Overview

 

Module 14: High Throughput and Low-Latency with Bigtable

  • Cloud Spanner Overview
  • Designing Bigtable Schema
  • Ingesting into Bigtable
  • Streaming into Bigtable

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Who should attend this Data Engineering with Google Cloud Platform Course?

The Data Engineering with Google Cloud Platform Course in in Pittsburgh is valuable training for those who want to get better at data management and processing while using Google Cloud Platform Services (GCP). The Data Engineering with Google Cloud Platform Course can benefit professionals such as:

  • Cloud Engineers
  • Data Engineers
  • BI Developers
  • ETL Developers
  • Data Managers
  • Data Architects
  • Big Data Engineers

Prerequisites of the Data Engineering with Google Cloud Platform Course

There are no formal prerequisites for this Data Engineering with Google Cloud Platform Course.

Data Engineering with Google Cloud Platform Course Overview

Data Engineering with Google Cloud Platform in in Pittsburgh is pivotal in today's tech landscape. As organizations increasingly rely on data-driven insights, mastering this subject becomes crucial. This course delves into leveraging Google Cloud's robust infrastructure for managing, processing, and optimizing data, making it a cornerstone in cloud-based data engineering solutions.

Google Cloud's data engineering proficiency in in Pittsburgh is pivotal for data architects, engineers, and analysts. With data becoming the lifeblood of decision-making, mastering this subject empowers professionals to architect scalable, efficient, and secure data pipelines crucial for any data-centric enterprise.

This intensive 3-day training in in Pittsburgh is designed to equip delegates with practical skills in deploying Google Cloud's suite for data engineering. Delegates will learn to leverage tools like BigQuery, Dataflow, and Dataprep to architect and manage data pipelines efficiently, enabling them to tackle real-world data challenges confidently.

Course Objectives:

  • To comprehend the fundamentals of data engineering in the Google Cloud environment
  • To proficiently employ Google Cloud services for data storage, processing, and analysis
  • To design and implement robust data pipelines using Google Cloud tools
  • To optimize data engineering workflows for enhanced efficiency and scalability
  • To gain expertise in managing and transforming large datasets on the Google Cloud Platform
  • To understand best practices for data security and compliance on Google Cloud
  • To develop skills in troubleshooting and optimizing data solutions within Google Cloud
  • To apply learned concepts to real-world scenarios, fostering practical proficiency in data engineering with Google Cloud

After completing this course in in Pittsburgh, delegates will receive a certification, validating their expertise in data engineering on the Google Cloud Platform. Mastering Google Cloud Courses like this one solidifies one's foundation in data engineering, making them an asset in today's data-driven world.

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What’s included in this Data Engineering with Google Cloud Platform Course?

  • World-Class Training Sessions from Experienced Instructors
  • Data Engineering with Google Cloud Platform Certificate
  • Digital Delegate Pack

Why choose us

Our Pittsburgh venue

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Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Pittsburgh has around a population of 305,000 inhabitants living within the commonwealth’s second largest city. The city is located southeast of the Ohio River in the north east of the United States of America. Pittsburgh is characterized by the Appalachia border. The city is renowned for its number of bridges (446) and its steel-related businesses spanning over 300 of them. Pittsburgh has four main areas (North side, south side, east end and west end) surrounding the Golden triangle (downtown area) containing 90 neighbourhoods. The downtown area is the cultural district with art venues and theatres, sports and literature.Pittsburgh has several public schools including charter and magnet schools, City Charter High School, Pittsburgh Montessori School, Pittsburgh Gifted Center and Barack Obama Academy of International. The city also has many private schools including North Catholic High School, Bishop Canevin High School, Seton-La Salle Catholic High School and Central Catholic High School.Carnegie Mellon University is Pittsburgh main university with around, 15,000 students. It’s a private institution with 7 colleges and schools including, the College of Engineering, College of Fine Arts, Dietrich College of Humanities and Social Sciences. Carnegie was rated 24th university in the world and the best technology school in the United States.The University of Pittsburgh has 17 schools and colleges with around 28,000 enrolled students. Pittsburgh University is located within the Oakland neighbourhood working as a commonwealth system of higher education. The university has 17 undergraduate and graduate schools. There are four undergraduate schools including the western Pennsylvania: Bradford, Greensburg, Johnstown and Titusville. The university has a developed Greek system of 39 fraternities and sororities including Delta Phi, Pi Kappa Pi, Delta Zeta and Kappa Delta. The university has several sports teams including the Pittsburgh panthers (Athletics team), Football team and Pittsburgh panther’s men’s basketball team. 

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Address

Penn Center East Monroeville
201 Penn Center Boulevard
Suite 400
Pittsburgh
Pennsylvania
15235

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Data Engineering On Google Cloud Platform in Pittsburgh. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Data Engineering On Google Cloud Platform in Pittsburgh, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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The training fees for certification in Pittsburgh starts from $3795
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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