Project Description

GOOGLE CLOUD BIGQUERY DATA ANALYSTS TRAINING

About Google Cloud

Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning

GCP is a public cloud service provided by Google. It has virtual machine, storage, network, container, backup, database, machine learning and so on. You can use these services through internet, install your application and build your own system. Its competitors are AWS and Microsoft Azure

Google Cloud Platform (GCP) is set of products and services as follows

  • Google App Engine
  • Google Compute Engine
  • Google Cloud Storage
  • BigQuery – provides possibility of quick analysis of very high volume of data
  • Google Cloud SQL – MySQL database
  • Google Container Engine
  • Dataflow
  • Cloud Endpoints
  • Prediction API…etc.

Google is continually developing and improving products on GCP so now, it is great time to develop applications there. Advantage is that they are building products to scale and that behind them is a team of people who takes care that Google’s products run smoothly

Google Cloud Data Flow using its services

Why Google Cloud Platform?

GCP frees you from the overhead of managing infrastructure, provisioning servers and configuring networks. To let innovators innovate and let coders, well, just code.

Future-Proof Infrastructure

Secure, high-performance, global, cost-effective and constantly improving. We’ve built our cloud for the long haul.

Powerful Data & Analytics

Tap into big data and machine learning to find answers faster, and build better products and fuel amazing applications.

Serverless, Fully Managed Computing

Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance.

Customer-Friendly Pricing

Our pricing innovations like per-minute billing and sustained use discounts save you money. As we improve the efficiency of our infrastructure, we pass cost savings to you.

Data Center Innovation

Google’s backbone network has thousands of miles of fiber optic cable, uses advanced software-defined networking and has edge caching services to deliver fast, consistent and scalable performance.

Security at Scale

Deploy on an infrastructure protected by more than 700 top experts in information, application, and network security.

For those with familiarity with other notable cloud service providers, a comparison of similar services may be helpful in understanding Google Cloud Platform’s offerings.

Numaware Trainings provide completely practical and real time Google Cloud Platform Training starts from basics to advanced modules. Get an introduction to the fundamentals of Google cloud Platform computing and gain proficiency in identifying terminologies and concepts in the Google Cloud platform

 Give Miss Call to +91-9916-566-300 for further more details on Google Cloud Training

Detailed Course Content

Course Description

Class introduces participants to the implementation of application environments and public cloud infrastructure using Google Cloud Platform. Through a combination of instructor-led presentations and hands-on labs, students learn how to deploy cloud infrastructure components such as networks, systems, and applications. This class is intended for Systems Operations professionals and Systems Administrators; Cloud Architects and DevOps personnel should enroll instead in the Architecting with Google Cloud Platform course sequence.

Objectives

  • Understand the core tenets to be considered when designing & deploying to a cloud
  • Use the Google Developers Console to create and manage multiple projects
  • Use service accounts and permissions to share view-level access between projects
  • Create Google Compute Engine instances
  • Create a non-default network and review your network configuration
  • Compare default and non-default networks
  • Create firewall-rules with and without tags
  • Create and use a customized Compute Engine image
  • Set authorization scopes for a Compute Engine instance
  • Reserve an external IP address for an instance
  • Snapshot a Compute Engine instance
  • Snapshot a data disk
  • Create an image using a boot persistent disk
  • Upload an image to Google Container Registry
  • Create a Compute Engine instance group with instances
  • Create a Cloud SQL instance using the Cloud SDK
  • Deploy and test a web application
  • Add instance and project metadata
  • Query instance and project metadata using the Cloud SDK
  • Create an instance using a startup script in metadata and Google Cloud Storage
  • Create an instance with a shutdown script and install the Cloud Logging agent
  • Use the API Explorer to query an API request
  • Run sample code that uses the Google API Client Library
  • Test and build a container that uses the Cloud SQL APIs
  • Create an instance template and managed instance group
  • Configure a managed instance group for autoscaling
  • Create multiple autoscaled managed instance groups
  • Configure fault-tolerant HTTP load balancing
  • Test health checks for use with HTTP load balancing
  • Manage application deployment using Jinja and Python templates with Google Cloud Deployment Manager
  • Delete Google Cloud Platform projects and resources

Module 1: Google Cloud Platform Projects

Learning Objectives

  • Identify project resources and quotas
  • Explain the purpose of Google Cloud Resource Manager and Identity and Access Management
Lab: Google Cloud Platform Projects
  • Use the Google Developers Console to create and manage multiple projects
  • Use service accounts and permissions to share view-level access between projects

Module 2: Instances

Learning Objectives

  • Explain how to create and move instances
  • Identify how to connect to and manage instances
Lab: Google Compute Engine Instances and Machine Types

Learning Objectives

  • Create an instance using the Google Developers Console
  • Configure the Cloud SDK on the Compute Engine instance
  • Initialize Cloud Source Repositories using Git

Module 3: Networks

Learning Objectives

  • Explain how to create and manage networks in projects
  • Identify how to create and manage firewall rules, routes, and IP addresses
Lab: Google Compute Engine Networks

Learning Objectives

  • Create a non-default network
  • Compare default and non-default networks
  • Create firewall-rules with and without tags
  • Review network configuration in Google Cloud Monitoring

Module 4: Disks and Images

Learning Objectives

  • Explain how to create and manage persistent disks
  • Identify how to create and manage disk images
Lab: Google Compute Engine Disks and Images

Learning Objectives

  • Create an instance and install the Java 7 JRE from OpenJDK
  • Create a customized Compute Engine image
  • Launch and test a Compute Engine instance based on your image

Module 5: Authorization

Learning Objectives

  • Explain the purposes of and use cases for Google Compute Engine service accounts
  • Identify the types of service account scopes
Lab: Google Compute Engine Authorization

Learning Objectives

  • Set authorization scopes for a Compute Engine instance
  • Reserve the external IP address for the new instance
  • Install and configure Jenkins on a Compute Engine instance

Module 6: Snapshots

Learning Objectives

  • Identify the purpose of and use cases for disk snapshots
  • Explain the process of creating a snapshot
Lab: Google Compute Engine Snapshots

Learning Objectives

  • Prepare and snapshot a Compute Engine instance
  • Restore and test the snapshot to a different zone
  • Snapshot a data disk without shutting down an instance

Module 7: Google Cloud Storage

Learning Objectives

  • Explain the purpose of and use cases for Google Cloud Storage
  • Identify methods for accessing Google Cloud Storage buckets and objects
  • Explain the security options available for Google Cloud Storage buckets and objects
Lab: Google Cloud Storage for Backups

Learning Objectives

  • Create and configure Nearline and DRA buckets
  • Modify the lifecycle management policy for a bucket
  • Copy data to a bucket using the Cloud SDK
  • Review, modify, and test bucket ACLs
  • Configure Jenkins to perform a backup to Cloud Storage
  • Test and verify that the backups are working
Lab: Google Container Registry

Learning Objectives

  • Create a customized Jenkins build node instance
  • Create an image using the instance’s boot persistent disk
  • Create a test build node instance based on the new image
  • Test uploading images to Google Container Registry

Module 8: Instance Groups

Learning Objectives

  • Identify the purpose of and use cases for instance groups
  • Explain the process of creating and using instance groups
Lab: Google Compute Engine Instance Groups

Learning Objectives

  • Create a Compute Engine instance group with instances
  • Define Jenkins build tasks and run them
  • Run the build tasks to create a guestbook image

Module 9: Google Cloud SQL

Learning Objectives

  • Understand how to create and administer Cloud SQL instances
  • Explain how to access Cloud SQL instances from Compute Engine instances
Lab: Google Cloud SQL

Learning Objectives

  • Create a Cloud SQL instance using the Cloud SDK
  • Create a Compute Engine instance from a custom image
  • Deploy and test the Guestbook web application

Module 10: Metadata

Learning Objectives

  • Explain the purpose of metadata and identify the use cases for project and instance metadata
  • Identify how to set and query metadata
  • Lab: Google Compute Engine Metadata

Learning Objectives

  • Add instance and project metadata
  • Query instance and project metadata using the Cloud SDK
  • Query metadata from inside a Compute Engine instance

Module 11: Startup and Shutdown Scripts

Learning Objectives

  • Identify the purpose of and use cases for startup and shutdown scripts
Lab: Google Compute Engine Startup Scripts

Learning Objectives

  • Create an instance with a startup script in metadata
  • Create an instance with a startup script from Cloud Storage
  • Create an instance with a shutdown script and install the Cloud Logging agent
Lab: Google API Client Library

Learning Objectives

  • Use the API Explorer to query an API request
  • Run sample code that uses the Google API Client Library
  • Test and build a container that uses the Cloud SQL APIs
  • Create a new Compute Engine image

Module 12: Autoscaling

Learning Objectives

  • Explain the use cases for autoscaling and how autoscaling functions
  • Identify the purpose of autoscaling policies
Lab: Google Compute Engine Autoscaler

Learning Objectives

  • Create an instance template and managed instance group
  • Configure the managed instance group for autoscaling
  • Generate an artificial load to trigger scaling of your cluster

Module 13: Load Balancing

Learning Objectives

  • Explain the differences between network load balancing and HTTP load balancing
  • Identify the purpose of and use cases for cross-region and content-based load balancing
Lab: HTTP/HTTPS Load Balancing

Learning Objectives

  • Create multiple autoscaled managed instance groups
  • Configure fault-tolerant HTTP load balancing
  • Test health checks for use with HTTP load balancing
Lab: Google Cloud Deployment Manager

Learning Objectives

  • Create a Guestbook deployment using a plain YAML format
  • Manage a Guestbook deployment using a Jinja template
  • Create a Guestbook deployment using Python templates
Lab: Deleting Cloud Platform Projects and Resources

Learning Objectives

  • Delete Google Cloud Platform resources
  • Test dependencies between resources
  • Delete Google Cloud Platform projects

GOOGLE CLOUD TRAINERS DETAILS

Role : Cloud Architect
Experience : 20+ Yrs of IT Experience
Technologies   : IT Infrastructure, Data Centre transformation, Active Directory, Networking, Security,Disaster Recovery, Automation
About Trainer :

Certified Corporate Trainer, Professional Developer and Cloud Architect with DevOps mind set and follows Agile methodology. One of the Top rated Professional corporate trainer and having experience for deploying, supporting and managing client infrastructures on both Azure and AWS. Currently working on enterprise architecture, design and implementation of cloud deployments and migration based on various service models. He is passionate to provide training for individuals who are keen to learn Azure and AWS

Certifications : Google Certified Professional – Cloud Architect
MCSE: Cloud Platform and Infrastructure Solutions Expert,
AWS SysOps Administrator (Associate), AWS Solutions Architect (Associate & Professional)
                        

Role : Senior Cloud Solutions Architect
Experience : 10+ Yrs of IT Experience across MNC Companies
Technologies   : AWS, MS Azure, Google Cloud Platform, VM-Ware, IBM Soft layer, Cisco UCS..etc.
About Trainer :

AWS, Azure and GCP Certified Trainer with 10+ of rich IT Experience in developing and  architecting IT applications, currently working  in cloud computing domain from last 4.5 years as Cloud Architect. He holds expertise in various cloud platforms including AWS, MS Azure, Google Cloud Platform and VM-Ware. Trainer is very passionate about training and keeps himself to upgrade on latest technologies. He has designed very large and complex application in cloud with Multi International Corporate companies

Certifications : AWS Certified Solutions Architect, Microsoft Certified Professional – Cloud Platform
VMware Certified Associate – Cloud, VMware vSphere Certified Professional- Cloud
                                         

GOOGLE CLOUD CERTIFICATIONS

We support! You Certify

Numaware Technologies provides certification trainings and also support you with getting certified in desired skill sets.

Google Certified Professional

Cloud Architect

A Google Certified Professional – Cloud Architect enables organizations to leverage Google Cloud technologies. Through an understanding of cloud architecture and Google technology, this individual can design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

A Google Certified Professional – Cloud Architect has demonstrated in our assessment their ability to:

  • Design and plan a cloud solution architecture
  • Manage and provision the cloud solution infrastructure
  • Design for security and compliance
  • Analyze and optimize technical and business processes
  • Manage implementations of cloud architecture
  • Ensure solution and operations reliability

Earn your certification. Boost your career.

Trainings and Batches

Mode of Training

Numaware provides the following list of trainings according to Trainee or Colleges or Organization preference

  • Classroom Training
  • Online Training
  • Corporate Training
  • Campus Training
  • University Training
  • Virtual Instructor-Led Training
  • Instructor-led Live Classroom Training

Batches Available

We are Flexible with following list of batches as per the student requirements and availability.

  • Regular Batch
  • Weekend Batch
  • Weekday Batch
  • Fast-Track Batch
  • One to One Batch
  • Customized Batch

Flexible Timings

Numaware providing Flexible timings to schedule the Batches according to student-preferred timings at either Morning or Evening

  • Morning : 6.00 AM to 12.00PM
  • Evening : 3.00 PM to 10.00PM

Affordable Fees

We Charge very nominal, least and best price for all trainings when compared to Market or any other institutes with good quality standards and no compromise on commitment of providing Quality of Training.

Digital and Flexible Payment Options are available with Numaware Technologies Pvt. Ltd

  • Cash with Invoice
  • Credit-Card Pay
  • Debit-Card Pay
  • Any Digital-Pay
  • Account Transfer
  • Pay-Tm Transfer

Note: Fee will be finalized after demo session as per the Trainer suggestions and Student requirement.

Numaware Benefits

Numaware Technologies Pvt. Ltd is one of the best training institutes in Bangalore, offering Job demanding IT courses, Niche skills for working professionals, fresher’s, and students to ensure a successful future. We offer 100% placement support, cost-effective courses, real-time project experience, resume support, interview support and more. Our courses will equip you to get jobs in top MNCs and launch a successful career.

TRAINING BENEFITS in Numaware Technologies :

  • Training with IT Industry experts and Certified professional s working in MNC Companies.
  • Importance given to both theory and practice
  • Hands-on experience in real-time projects
  • Assistance in all stages of getting a job
  • Proven track record
  • Limited students in a batch
  • Flexible timings
  • Certification support

STUDENT BENEFITS in Numaware Technologies:

  • Post-training and on-job support
  • Backup classes for missed sessions
  • Remote lab facility, Wi-Fi access and LED TV projection
  • Mock exams and interviews for real-life simulation experience
  • Affordable fees with 2 easy installments

PLACEMENT BENEFITS in Numaware Technologies:

  • Our recruitment team will send you for interviews till you get placed
  • Frequently asked interview Q & A will be shared
  • Resume build support from industry professionals
  • We train you with real cases studies for interviews
  • Emphasis on practical knowledge in everything

Job Demanding Courses

Numaware Trainings is a Platform for Learning Technologies

Learn what really matters

Just work hard and focus on your job… because luck truly favors the prepared!!
All the best for your career

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