Cloud - Big Data Trunk

https://project.bigdatatrunk.com Quality Corporate and Classroom Training in Bay Area CA Tue, 28 Oct 2025 12:27:21 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 Data Engineering and Analytics on Microsoft Cloud – Azure https://project.bigdatatrunk.com/courses/data-engineering-and-analytics-on-microsoft-cloud-azure/ https://project.bigdatatrunk.com/courses/data-engineering-and-analytics-on-microsoft-cloud-azure/#respond Tue, 26 Nov 2024 13:13:59 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=54788 This training focuses on the powerful data engineering and analytics capabilities provided by Microsoft Azure. Participants will learn how to build robust data pipelines, process large datasets, and perform analytics using Azure services.

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Overview
Prerequisites
Audience
Curriculum

Description:

This training focuses on the powerful data engineering and analytics capabilities provided by Microsoft Azure. Participants will learn how to build robust data pipelines, process large datasets, and perform analytics using Azure services. The training includes an introduction to key Azure tools like Data Factory, Synapse Analytics, and Databricks, complemented by hands-on exercises to apply concepts in real-world scenarios. By the end of the day, participants will have the confidence to implement scalable data engineering and analytics workflows on Azure.

Duration: 1 Day

Course Code: BDT32

Learning Objectives:

By the end of this training, participants will be able to:

Describe the data engineering and analytics services available on Azure.
Build data pipelines using Azure Data Factory.
Process and analyze data with Azure Synapse Analytics and Azure Databricks.
Design scalable workflows for ETL and data integration.
Evaluate use cases for applying Azure solutions in analytics.

Basic understanding of data concepts, including ETL and analytics, is recommended. Familiarity with cloud platforms is helpful but not required.

Data engineers and analysts exploring Azure solutions.
IT professionals seeking to integrate data workflows on Azure.
Business professionals interested in leveraging data analytics on the cloud.

Course Outline:

Module 1: Introduction to Data Engineering and Analytics on Azure

Overview of Data Engineering and Analytics Concepts
Introduction to Azure’s Data Ecosystem
Key Services: Azure Data Factory, Synapse Analytics, Databricks

Module 2: Building Data Pipelines with Azure Data Factory

Introduction to Azure Data Factory (ADF)
Data Integration and ETL Workflow Design
Hands-On: Creating and Managing Pipelines

Module 3: Processing and Analyzing Data with Azure Synapse Analytics

Overview of Azure Synapse: Features and Architecture
Performing Analytics with SQL and Serverless Pools
Hands-On: Analyzing Data in Synapse

Module 4: Advanced Data Processing with Azure Databricks

Introduction to Azure Databricks and Apache Spark Integration
Processing Large Datasets in Real-Time
Hands-On: Implementing Analytics with Databricks

Module 5: Real-World Use Cases and Wrap-Up

Real-World Applications of Data Engineering on Azure
Best Practices for Performance and Cost Optimization
Q&A and Additional Resources

Training material provided: Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/data-engineering-and-analytics-on-microsoft-cloud-azure/feed/ 0 Big Data on Amazon Web Services https://project.bigdatatrunk.com/courses/big-data-on-amazon-web-services/ https://project.bigdatatrunk.com/courses/big-data-on-amazon-web-services/#respond Tue, 26 Nov 2024 12:59:41 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=54783 This training is designed to provide a comprehensive understanding of Big Data solutions on Amazon Web Services (AWS). Over three days, participants will explore how AWS enables scalable and secure data processing, storage, and analytics. The training covers essential services such as Amazon S3, EMR, Redshift, and Kinesis, while emphasizing best practices in managing large datasets.

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Overview
Prerequisites
Audience
Curriculum

Description:

This training is designed to provide a comprehensive understanding of Big Data solutions on Amazon Web Services (AWS). Over three days, participants will explore how AWS enables scalable and secure data processing, storage, and analytics. The training covers essential services such as Amazon S3, EMR, Redshift, and Kinesis, while emphasizing best practices in managing large datasets. Attendees will gain hands-on experience with designing and implementing Big Data workflows and learn how to harness AWS tools to drive insights and business value from data.

Duration: 3 Days

Course Code: BDT28

Learning Objectives:

By the end of this training, participants will be able to:

Describe the key components of Big Data solutions on AWS.
Implement scalable storage and processing of large datasets using AWS services.
Analyze data using AWS analytics tools such as Redshift and QuickSight.
Design Big Data workflows to handle real-world business challenges.
Optimize performance and cost for Big Data workloads on AWS.

Participants should have basic knowledge of cloud computing and familiarity with fundamental data concepts such as storage, databases, and analytics.

Data professionals looking to leverage AWS for Big Data solutions.
Cloud architects and engineers exploring AWS Big Data services.
Developers and analysts seeking to build scalable analytics pipelines.

Course Outline:

Day 1: Foundations of Big Data and AWS Services

Module 1: Introduction to Big Data

What is Big Data? Characteristics and Challenges
The Role of Cloud in Big Data

Module 2: AWS Big Data Ecosystem

Overview of Key Services: S3, EMR, Redshift, Kinesis, and Athena

Big Data Architecture on AWS

Module 3: Storage and Data Ingestion

Data Storage: Deep Dive into Amazon S3
Ingestion Services: AWS Glue, Kinesis, and Data Pipelines
Hands-On: Setting Up Data Ingestion

Day 2: Data Processing and Analysis

Module 4: Processing Big Data on AWS

Amazon EMR for Data Processing
Introduction to Apache Spark and Hadoop on AWS
Hands-On: Running a Data Processing Job on EMR

Module 5: Data Warehousing with Redshift

Setting Up and Managing Redshift Clusters

Optimizing Redshift for Query Performance
Hands-On: Querying Data with Redshift

Module 6: Data Visualization and Analysis

Using Amazon QuickSight for Business Intelligence
Hands-On: Creating Dashboards

Day 3: Advanced Topics and Best Practices

Module 7: Streaming Data Processing

Real-Time Analytics with Amazon Kinesis
Hands-On: Building a Real-Time Data Pipeline

Module 8: Security and Governance

Best Practices for Data Security on AWS
Compliance and Data Governance

Module 9: Cost Management and Optimization

Cost-Effective Strategies for Big Data Workloads
Using AWS Cost Management Tools

Module 10: Capstone Project

End-to-End Workflow: Ingest, Process, Store, and Analyze Data

Presenting Findings and Solutions

Module 11: Review and Wrap-Up

Key Takeaways and Resources for Further Learning
Q&A Session

Training material provided: Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/big-data-on-amazon-web-services/feed/ 0 Non-Techie Starter Series: Cloud https://project.bigdatatrunk.com/courses/non-techie-starter-series-cloud/ https://project.bigdatatrunk.com/courses/non-techie-starter-series-cloud/#respond Thu, 26 Oct 2023 06:21:26 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=45251 This course is designed for non-technical professionals who want to gain a foundational understanding of Cloud Computing.

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Overview
Prerequisites
Audience
Curriculum

Description:

This course is designed for non-technical professionals who want to gain a foundational understanding of Cloud Computing. The course will cover key concepts and terminologies within the cloud computing domain in a way that is easy to understand, without requiring any programming or technical expertise.

The course will begin with an introduction to the concept of Cloud Computing. Various types of Clouds as well as the underlying hardware and software environment and the basics of cloud architecture will be discussed in brief.

Various Cloud Computing services like SaaS, PaaS and IaaS will be discussed in detail along with real world examples and their applications in various fields.

The Course will cover the advantages of adopting a cloud-based model along with use cases of cloud services being utilized by organizations and enterprises.

Learning Outcomes:

By the end of this course, participants will have gained a foundational understanding of Cloud Computing and be able to identify cloud services and utilize this knowledge as part of their daily work.

Duration: Half Day

Course Code: BDT318

Understanding of how computers work

This course is designed for professionals in HR, finance, marketing, operations, or any other non-technical field who want to gain a thorough understanding of how Clouds operate and how they are being utilized by organizations and individuals to improve their efficiencies.

Course Outline:

Introduction to Cloud

Cloud Computing and Its Origin.
Types of Clouds (Public, Private and Hybrid Models)
Common terminologies - Hardware and Software Components involved
Basic Cloud architecture

Cloud Computing Terminology

Types of Cloud computing services
SaaS – Software as a Service
PaaS – Platform as a Service
IaaS – Infrastructure as a Service

Applications & Trends

Advantages of Cloud Computing
Applications of Cloud Computing
Real-life examples / Use Cases
Popular Cloud Service providers
Trends in Cloud Computing

Training Material Provided: Yes (Digital Format)

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]]> https://project.bigdatatrunk.com/courses/non-techie-starter-series-cloud/feed/ 0 Cloud for Non-Programmers https://project.bigdatatrunk.com/courses/cloud-for-non-programmers/ https://project.bigdatatrunk.com/courses/cloud-for-non-programmers/#respond Mon, 01 May 2023 00:24:35 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=26814 This course will guide you about cloud computing technology and describe its impact on IT scenario. In this course, you’ll learn about core Cloud business drivers,

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Overview
Prerequisites
Audience
Curriculum

Description:

This course will guide you about cloud computing technology and describe its impact on IT scenario. In this course, you’ll learn about core Cloud business drivers, how to determine whether business transformation is right for your team, and how to build short- and long-term projects with the power of the cloud. You would be exposed to several cloud services and how to compare them for use cases.

Duration: Half Day

Course Code: BDT272

Learning Objectives:

After this course, you will be able to:

Understand the benefits of Cloud Computing
Compare Cloud Providers
Exposure to the various services offered by Cloud Providers

To ensure success in this course, basic knowledge of working with computers and familiarization with the core functioning of an organization is highly recommended.

This course is designed for:

Those with little to no experience with Cloud
Business user and others interested in Cloud

Course Outline:

Module 1: Understanding the value of Cloud

The economy of cloud computing/terminology
Pros and Cons of moving to the Cloud

Module 2: Introduction to Cloud Computing

Cloud Computing—An Overview
Cloud Components
Comparison of Cloud platforms
Is it possible to have hybrid environment vs. all in the cloud?
Walkthrough: Success stories

Module 3: Differentiating Cloud Services

Infrastructure as a Service (IaaS) – An Overview
Platform as a Service (PaaS) – An Overview
Software as a Service (SaaS) – An Overview
Walkthrough: Cloud Computing use case

Module 4: Cloud Pillars

Scale – Agility and Speed
Capability – Range of services
Operational excellence – High availability
Security – privacy, availability, security, and compliance.
Cost optimization
Quizzes

Module 5: Cloud Offerings

Understand various Cloud Services
Explain the key characteristics of Cloud like On-demand service, horizontal scalability, pay as you go etc.
Understand pricing models on cloud

Module 6: Cloud Services

Cloud service overview
Core Cloud Services
Pricing
How to decide on which computer option is right for you?

Module 7: Reference Material and next steps

Reference Material and next steps

Training material provided: Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/cloud-for-non-programmers/feed/ 0 Business Transformation with Cloud Computing https://project.bigdatatrunk.com/courses/business-transformation-with-cloud-computing/ https://project.bigdatatrunk.com/courses/business-transformation-with-cloud-computing/#respond Wed, 01 Dec 2021 21:22:14 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=23125 What are cloud technology and data science, and what can they do for you and your business?

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Overview
Prerequisites
Audience
Curriculum

Description:

Empower your business through our 'Business Transformation with Cloud Computing' training course. Explore the profound impact of cloud technology and data science on modern business landscapes. Discover core cloud business drivers, evaluate the feasibility of business transformation for your team, and develop the skills to execute short- and long-term projects utilizing the cloud's capabilities. Enhance your understanding and vocabulary in the realms of cloud technology. Additionally, receive a valuable student workbook equipped with templates, guides, and resource links to assist you in crafting a customized briefing document for sharing insights with leadership, technical teams, or partners. Embrace the transformative potential of cloud computing for your business

Course Code/Duration:

BDT174 / 1 Day

Learning Objectives:

After this course, you will be able to:

Explain what cloud technology is and the top reasons the cloud era is revolutionizing business.
Identify ways cloud technology can create more value in your day-to-day work and for your overall organization.
Explain how a combination of an innovation mindset and specific business principles and practices can help to organically promote an innovation culture.
Craft an ideal transformation challenge for your organization.
Recognize today’s top cybersecurity challenges and the importance of a shared responsibility plan for maintaining data security and privacy.
Identify components of a security program to build into your transformation journey.
Build a business case and summary page for your overall transformation project using the templates provided.

Savvy about your own business practices.
No prior technical knowledge.

Business decision-makers: directors (managers of managers), managers of individual contributors (ICs) or ICs working in non-IT functions/divisions (such as finance, marketing, sales, HR, product design) interested in understanding the applications of cloud technology for business improvement opportunities and transformational project(s).

Course Outline:

The course includes presentations, demonstrations, and hands-on labs.

Module 1: Why cloud technology is revolutionizing business

Innovations throughout history leading up to the cloud era.
What is cloud and why is it revolutionizing business?.
The danger of maintaining status quo.
The superpowers of cloud technology.
What does this mean for you?

Module 2: Fostering a culture of innovation

The “garage” or “innovation” mindset.
Business and culture challenges of the new cloud paradigm.
Principles and best practices to scale the innovation mindset.
Practicing an innovation mindset with an industry example.
What does this mean for you?

Module 3: Define the ideal business transformation challenge

Improvements versus transformations.
Writing the ideal transformation challenge with two key principles.
Data sets and mapping your organization’s data ecosystem.
Identifying most transformative challenge using a framework.
What does this mean for you?

Module 4: Build trust with availability, security, and compliance

Fundamental terms: privacy, availability, security, and compliance.
Today’s top cybersecurity challenges.
What is a “Shared Responsibility Model” and why is it important?
Discuss examples of international compliance standards for cloud and how Cloud can help meet them.
What does this mean for you?

Module 5: Build a business case for your transformation challenge

Identifying the best solution for a business challenge.
Creating a transformation roadmap.
Categorizing the required datasets to reach a solution.
Creating a business case for a transformation project.
What does this mean for you?

Training material provided:

Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/business-transformation-with-cloud-computing/feed/ 0 Cloud for Business Users https://project.bigdatatrunk.com/courses/cloud-for-business-users/ https://project.bigdatatrunk.com/courses/cloud-for-business-users/#respond Wed, 01 Dec 2021 21:02:13 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=23123 This course will guide you about cloud computing technology and describe its impact on IT scenario.

The post Cloud for Business Users first appeared on Big Data Trunk.

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Overview
Prerequisites
Audience
Curriculum

Description:

Elevate your business acumen with our 'Cloud for Business Users' training course. This program offers a comprehensive guide to cloud computing technology and its profound impact on the IT landscape. Dive into core cloud business drivers, gain insights into assessing the feasibility of business transformation for your team, and acquire the skills to execute short- and long-term projects using the cloud's transformative capabilities. Explore various cloud services and learn how to effectively compare them for different use cases. By course end, you'll possess a shared vocabulary and an appreciation for cloud computing features such as agility, scalability, and high availability. Empower yourself and your business with this essential training

Course Code/Duration:

BDT173 / 1 Day

Learning Objectives:

After this course, you will be able to:

Understand the benefits of Cloud Computing
Compare Cloud Providers
Identify ways cloud technology can create more value in your day-to-day work and for your overall organization.
Explain how a combination of an innovation mindset and specific business principles and practices can help to organically promote an innovation culture.
Exposure to the various services offered by Cloud Providers
Get reference materials and next steps on how to utilize cloud within your organization.

To ensure success in this course, basic knowledge of working with computers and familiarization with the core functioning of an organization is highly recommended.

Those with little to no experience with Cloud.
Business user and others interested in Cloud.

Course Outline:

The course includes presentations, demonstrations, and activities.

PART ONE

Module 1: Understanding the value of Cloud

The economy of cloud computing/terminology
Pros and Cons of moving to the Cloud

Module 2: Organizational Readiness

The “garage” or “innovation” mindset.
Business and culture challenges of the new cloud paradigm.
Príncipes and best practices to scale the innovation mindset.
Walkthrough: Do and don’t for Organization’s cloud readiness

Module 3: Introduction to Cloud Computing

Cloud Computing—An Overview
Cloud Components
Comparison of Cloud platforms
Is it possible to have hybrid environment vs. all in the cloud?
Will we always continue having some data on prem and some in the cloud – what does that mean for us?
Walkthrough: Success stories

Module 4: Differentiating Cloud Services

Infrastructure as a Service (IaaS) – An Overview
Platform as a Service (PaaS) – An Overview
Software as a Service (SaaS) – An Overview
Walkthrough: Cloud Computing use case

Module 5: Cloud Pillars

Scale – Agility and Speed
Capability – Range of services
Operational excellence – High availability
Security – privacy, availability, security, and compliance.
Cost optimization
Quizzes

PART TWO

Module 6: Cloud Offerings

Understand various Cloud Services
Explain the key characteristics of Cloud like On-demand service, horizontal scalability, pay as you go etc.
Understand pricing models on cloud

Module 7: Compute Service

Compute service overview
Cloud Compute options
Pricing
How to decide on which computer option is right for you?

Module 8: Storage Service

Storage Service overview
Cloud Storage options
How to decide on which Storage option is right for your use case?

Module 9: Cloud Security

How is security managed?
Understanding Cloud Security – privacy, availability, security, and compliance.

Module 10: AI and Machine Learning Service

AI and Machine Learning overview
AI Cloud options
AI use cases

Module 11: Reference Material and next steps

Reference Material and next steps

Training material provided:

Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/cloud-for-business-users/feed/ 0 Business Transformation with Google Cloud https://project.bigdatatrunk.com/courses/business-transformation-with-google-cloud/ https://project.bigdatatrunk.com/courses/business-transformation-with-google-cloud/#respond Sat, 17 Apr 2021 17:35:04 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22283 In this course, you'll learn about core Google Cloud business drivers, how to determine whether business transformation is right for your team, and how to build short- and long-term projects with the power of the cloud.

The post Business Transformation with Google Cloud first appeared on Big Data Trunk.

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Overview
Prerequisites
Audience
Curriculum

Description:

What are cloud technology and data science, and what can they do for you and your business? In this course, you’ll learn about core Google Cloud business drivers, how to determine whether business transformation is right for your team, and how to build short- and long-term projects with the power of the cloud. You’ll also receive a supplementary student workbook that contains templates, guides, and resource links to help you create a custom briefing document to share with your leadership, technical teams, or partners.

Course Code/Duration:

BDT119 / 1 Day

Learning Objectives:

Business Transformation Infrastructure Machine Learning Security

Explain what cloud technology is and the top reasons the cloud era is revolutionizing business.
Identify ways cloud technology can create more value in your day-to-day work and for your overall organization.
Explain how a combination of an innovation mindset and specific business principles and practices can help to organically promote an innovation culture.
Craft an ideal transformation challenge for your organization.
Recognize today’s top cyber-security challenges and the importance of a shared responsibility plan for maintaining data security and privacy.
Identify components of a security program to build into your transformation journey.
Build a business case and summary page for your overall transformation project using the templates provided.

Prerequisites:

Savvy about your own business practices.
No prior technical knowledge.

Audience:

Business decision-makers: directors (managers of managers), managers of individual contributors (ICs) or ICs working in non-IT functions/divisions (such as finance, marketing, sales, HR, product design) interested in understanding the applications of Google’s cloud technology for business improvement opportunities and transformational project(s).

Topic Outline:

The course includes presentations, demonstrations, and hands-on labs.

Module 1: Why cloud technology is revolutionizing business

Innovations throughout history leading up to the cloud era.
What is cloud and why is it revolutionizing business?.
The danger of maintaining status quo.
The superpowers of cloud technology.
What does this mean for you?

Module 2: Fostering a culture of innovation

The “garage” or “innovation” mindset.
Business and culture challenges of the new cloud paradigm.
Principles and best practices to scale the innovation mindset.
Practicing an innovation mindset with an industry example.
What does this mean for you?

Module 3: Define the ideal business transformation challenge

Improvements versus transformations.
Writing the ideal transformation challenge with two key principles.
Data sets and mapping your organization’s data ecosystem.
Identifying most transformative challenge using a framework.
What does this mean for you?

Module 4: Build trust with availability, security, and compliance

Fundamental terms: privacy, availability, security, and compliance.
Today’s top cybersecurity challenges.
What is a “Shared Responsibility Model” and why is it important?
Discuss examples of international compliance standards for cloud and how Google Cloud can help meet them.
What does this mean for you?

Module 5: Build a business case for your transformation challenge

Identifying the best solution for a business challenge.
Creating a transformation roadmap.
Categorizing the required datasets to reach a solution.
Creating a business case for a transformation project.
What does this mean for you?

Training material provided:

Yes (Digital format)

The post Business Transformation with Google Cloud first appeared on Big Data Trunk.

]]> https://project.bigdatatrunk.com/courses/business-transformation-with-google-cloud/feed/ 0 Getting Started with Google Kubernetes Engine https://project.bigdatatrunk.com/courses/getting-started-with-google-kubernetes-engine/ https://project.bigdatatrunk.com/courses/getting-started-with-google-kubernetes-engine/#respond Sat, 16 Jan 2021 09:30:04 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22011 Learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.

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Overview
Prerequisites
Audience
Curriculum

Description:

Master the art of containerizing workloads using Docker containers, deploying them on Google Kubernetes Engine clusters, and efficiently scaling them to accommodate growing traffic demands. This course also equips you with the skills to implement continuous deployment for seamless application updates within a Kubernetes cluster.

Course Code/Duration:

BDT102 / 1 Day

Learning Objectives:

At the end of the course, you will be able to:

Understand container basics.
Containerize an existing application.
Understand Kubernetes concepts and principles.
Deploy applications to Kubernetes using the CLI.
Create continuous delivery pipelines using Spinnaker and/or Jenkins.

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

Basic proficiency with command-line tools and Linux operating system environments, as well as Webserver
Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment.

This class is intended for the following participants:

Application developers, Cloud Solutions Architects, DevOps Engineers, IT managers.
Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud.

Course Outline:

Module 1: Introduction to Containers and Docker

Create a container.
Package a container using Docker.
Store a container image in Google Container Registry.
Launch a Docker container.

Module 2: Kubernetes Basics

Provision a complete Kubernetes cluster using Kubernetes Engine.
Deploy and manage Docker containers using kubectl.
Break an application into microservices using Kubernetes’ Deployments and Services.

Module 3: Deploying to Kubernetes

Create a Kubernetes deployment.
Trigger, pause, resume, and rollback updates.
Understand and build canary deployments.

Module 4: Creating a Continuous Delivery Pipeline

Provision Spinnaker or Jenkins in your Kubernetes cluster.
Manage application code in a source repository that can trigger code changes to a continuous delivery pipeline.
Create a continuous delivery pipeline and start it manually or automatically with a code change.
Implement a canary deployment that hosts two versions of your application in production for release testing.

Training material provided:

Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/getting-started-with-google-kubernetes-engine/feed/ 0 Google Cloud Big Data and Machine Learning Fundamentals https://project.bigdatatrunk.com/courses/google-cloud-big-data-and-machine-learning-fundamentals/ https://project.bigdatatrunk.com/courses/google-cloud-big-data-and-machine-learning-fundamentals/#respond Sat, 16 Jan 2021 09:22:19 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22008 This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud.

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Overview
Prerequisites
Audience
Curriculum

Description:

Explore Google Cloud's big data capabilities in a single-day, instructor-led course. Discover the world of big data through engaging presentations, live demonstrations, and hands-on labs. Gain a comprehensive understanding of Google Cloud's data processing and machine learning capabilities. Experience the remarkable ease, flexibility, and robustness of big data solutions on Google Cloud in this immersive session.

Course Code/Duration:

BDT101 / 1 Day

Learning Objectives:

This course teaches participants the following skills:

Identify the purpose and value of the key Big Data and Machine Learning products on Google Cloud.
Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
Employ BigQuery and Cloud Datalab to carry out interactive data analysis.
Train and use a neural network using TensorFlow.
Employ ML APIs.
Choose between different data processing products on Google Cloud.

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

Basic proficiency with common query language such as SQL.
Experience with data modelling, extract, transform, load activities.
Developing applications using a common programming language such as Python.
Familiarity with machine learning and/or statistics.

This class is intended for the following:

Data analysts, Data scientists, Business analysts getting started with Google Cloud.
Individuals are responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports.
Executives and IT decision-makers evaluating Google Cloud for use by data scientists.

Course Outline:

Module 1: Introducing Google Cloud Platform

Google Platform Fundamentals Overview.
Google Cloud Platform Big Data Products.

Module 2: Compute and Storage Fundamentals

CPUs on demand (Compute Engine).
Global filesystem (Cloud Storage).
CloudShell.
Lab: Set up an Ingest-Transform-Publish data processing pipeline.

Module 3: Data Analytics on the Cloud

Stepping-stones to the cloud.
Cloud SQL: your SQL database on the cloud.
Lab: Importing data into CloudSQL and running queries.
Spark on Dataproc.
Lab: Machine Learning Recommendations with Spark on Dataproc.

Module 4: Scaling Data Analysis

Fast random access.
Datalab.
BigQuery.
Lab: Build a machine learning dataset.

Module 5: Machine Learning

Machine Learning with TensorFlow.
Lab: Carry out ML with TensorFlow
Pre-built models for common needs.
Lab: Employ ML APIs.

Module 6: Data Processing Architectures

Message-oriented architectures with Pub/Sub.
Creating pipelines with Dataflow.
Reference architecture for real-time and batch data processing.

Module 7: Summary

Why GCP?
Where to go from here
Additional Resources

Training material provided:

Yes (Digital format)

The post Google Cloud Big Data and Machine Learning Fundamentals first appeared on Big Data Trunk.

]]> https://project.bigdatatrunk.com/courses/google-cloud-big-data-and-machine-learning-fundamentals/feed/ 0 Google Cloud Fundamentals for AWS Professionals https://project.bigdatatrunk.com/courses/google-cloud-fundamentals-for-aws-professionals/ https://project.bigdatatrunk.com/courses/google-cloud-fundamentals-for-aws-professionals/#respond Sat, 16 Jan 2021 09:14:36 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22005 This course teaches AWS professionals about the core capabilities of Google Cloud in the four technology pillars

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Overview
Prerequisites
Audience
Curriculum

Description:

Elevate your Azure expertise with our course on Google Cloud's core capabilities in networking, compute, storage, and database. Tailored for Azure professionals, including system administrators, solutions architects, and SysOps administrators, this program offers immediate hands-on experience in configuring Google Cloud products. With a mix of lectures, demos, and practical labs, you'll uncover the parallels and distinctions between the two platforms while mastering essential tasks in Google Cloud.

Course Code/Duration:

BDT100 / 1 Day

Learning Objectives:

This course teaches participants the following skills:

Identify Google Cloud counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM
Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
Manage and monitor applications
Explain feature and pricing model differences

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

Have basic proficiency with networking technologies like subnets and routing
Have basic proficiency with command-line tools
Students are expected to have experience with Amazon VPC, Amazon EC2 instances, and disks. Familiarity with Amazon S3 and AWS database technologies is recommended

This course is intended for the following participants:

Individuals planning to deploy applications and create application environments on Google Cloud
Developers, systems operations professionals, and solution architects getting started with Google Cloud.
Executives and business decision makers evaluating the potential of Google Cloud to address their business needs.

Course Outline:

Module 1: Introducing Google Cloud

What is cloud computing?
Google Cloud Computing architectures
The Google network
Google Cloud Regions and Zones
Google Cloud versus Azure regions and zones
Open API’s
Multi-layered security approach
Budgets and Billing

Module 2: Getting Started with Google Cloud

Google Cloud resource hierarchy
Comparison to Azure resource hierarchy
Identity and Access Management (IAM)
IAM Roles
Comparison to Azure AD
Interacting with Google Cloud
Cloud Marketplace

Module 3: Virtual Machines in the Cloud

Virtual Private Cloud (VPC) Network
How AWS VPC differs from Google VPC
Compute Engine
Comparing Amazon EC2 and Google Compute Engine
Important VPC Capabilities
How typical approaches to load-balancing in Google Cloud differ from those in AWS

Module 4: Storage in the Cloud

Cloud Storage
Cloud Storage Interactions
Comparing Azure Blob Storage with Google Cloud Storage
Cloud Bigtable
Cloud SQL and Cloud Spanner
Cloud Datastore
Comparing Azure SQL with Google Cloud’s managed database services
Comparing Storage Options

Module 5: Containers in the Cloud

Containers in the Cloud
Kubernetes and Kubernetes Engine
Hybrid and Multi-Cloud
How Azure Kubernetes Service differ from GKE

Module 6: Applications in the Cloud

App Engine Standard Environment
App Engine Flexible Environment
Comparison to Azure App Service
Cloud Endpoints and Apigee Edge

Module 7: Developing, Deploying and Monitoring in the Cloud

Development in the cloud
Deployment: Infrastructure as code
How Cloud Deployment Manager differs from AWS CloudFormation
Monitoring: Proactive instrumentation
How Cloud Operations differs from Amazon CloudWatch and AWS CloudTrail

Module 8: Big Data and Machine Learning in the Cloud

Google Cloud Big Data Platform
Dataflow
BigQuery
How BigQuery differs from Amazon Redshift
Pub/sub and Datalab
How Cloud Pub/Sub differs from Amazon SQS
Google Cloud Machine Learning Platform
ML APIs
How GCP’s machine-learning APIs differ from AWS’s

Module 9: Summary and Review

Course Review
The Process of migrating from AWS to Google Cloud
Next Steps

Training material provided:

Yes (Digital format)

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