Data Engineering with Google Cloud Platform Overview

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 the United States 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 the United States 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 the United States 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 the United States 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 the United States, 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

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Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Data Engineering with Google Cloud Platform. 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 with Google Cloud Platform, 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.

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The training fees for certification in the United States 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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