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 New York 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 New York 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 New York 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 New York 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 New York, 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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New York City is the biggest city in the United States. It is the most populous urban agglomerations in the world. New York is often described as the cultural and financial capital of the world. Education in the USA is provided by both public and private schools, and is mandatory until the age of 16.  Pupils conducting their schooling within the USA start off at preschool, followed by elementary school, then middle school, before finishing at high school.  At age 18, US citizens are able to engage in higher education.  Higher education in the USA normally comes in the form of a college, undergraduate school, or a community college – that latter of which doesn’t normally cost anything to attend.  Candidates participating in a course at a college will gain credits towards a bachelor’s degree, whilst candidates participating a course at a community college will be earning credits in order to achieve an associate’s degree. The public school system is run by the New York City Public School board. It is the biggest school system in the United States. They serve approximately 1.1 million pupils in 1,700 schools. There are nine special schools for those who are academically or artistically gifted. There are approximately 900 additional privately-run secular and religious schools in the city. There are roughly 600,000 students in New York that are enrolled in one of the 120 higher education institutions. There are a number of notable universities in the City of New York. These include: Columbia University, New York University and the New York Institute of Technology. Columbia is the highest ranked New York University in the world rankings, coming in at number 22. It is a private Ivy League research university that has twenty school including Columbia College, the School of Engineering and Applied Science, and the School of General Studies. New York is also home to a number of specialist art schools such as the world renowned Juilliard School that specialises in the performing arts. At The Knowledge Academy we offer over 50,000 classroom based training courses in the United States, including popular locations such as New York.

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Address

NYC Seminar and Conference Center
71 West 23rd Street
Suite 515
New York
NY 10010

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 New York. 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 New York, 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 New York 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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