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Cloud Analytics with Google Cloud Platform
Cloud Analytics with Google Cloud Platform

Cloud Analytics with Google Cloud Platform: An end-to-end guide to processing and analyzing big data using Google Cloud Platform

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Cloud Analytics with Google Cloud Platform

Design and Business Considerations

In this chapter, we will be learning about how cloud-based solutions are designed and architected. What should be our approach before the solution is moved to the cloud? We will also learn about whether we should consider on-premises hardware or directly move the solution to cloud. In short, we will be learning about the migration and related processes along with the prerequisite preparation required.

This chapter is going to discuss cloud computing in more depth too. Some concepts from previous chapters will be helpful to us as well.

We will cover the following topics in this chapter:

  • Cloud computing and migration
  • Parameters before adopting cloud strategy
  • Prerequisites for an application to be moved to cloud
  • Simplifying cloud migration with virtualization
  • Infrastructure contemplation for cloud
  • Available deployment models while moving to cloud...

A bit more about cloud computing and migration

What began as cloud storage soon extended to incorporate services, for example, Software as a Service (SaaS), which have developed into a stack of business-profitable aaS models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Database as a Service (DBaaS), Data as a Service (DaaS), Backup as a Service (BaaS), and Disaster Recovery as a Service (DRaaS).

Close to the previous decade and a half, cloud services have quickly turned out to be a standout among the most noteworthy advancements in IT. The publicity encompassing cloud services made look as though all of an organization's IT assets ought to be immediately moved to the cloud. There is no disproving that, in specific cases, cloud services can be extremely advantageous. Be that as it may, cloud relocation...

Parameters before adopting cloud strategy

Organizations need to guarantee ideal quantifiable profit, the most elevated amount of security, and an incredible end user experience and the greater part of this must be really accomplished if time is invested first in a cloud computing plan. The following sections highlight some key contemplations that each organization should have in its plan.

Developing and changing business needs

Investments in on-premise, high specification technologies with noteworthy and profoundly scalable storage capacity and security abilities can be greatly unsafe nowadays as the vast majority of organizations are rapidly changing and developing the ways they provide their services. The plan and architecture...

Prerequisites for an application to be moved to the cloud

In case of application servers, you ought to consider whether the application can work in the cloud with no glitches. Additionally, the application's execution must be thought about similarly.

Regularly, the compatibility is never a major issue for fresh applications that run on cutting-edge systems. Likewise, the execution shouldn't be an issue for such applications as the vast majority of cloud providers enable the hardware equipment assets to be assigned to hosted servers on an as-required mode. All things considered, there are two noteworthy contemplations that must be considered for such applications.

Performance

Despite the fact that you can arrange...

Infrastructure contemplation for cloud

Another contemplation is the on-premises network. On the off chance that an organization intends to keep assets on-premises (even briefly), the cloud network must function as an expansion of the on-premises Active Directory forests. This implies that the organization will ordinarily need to deploy cloud-based domain controllers, DNS servers, and perhaps DHCP servers. All the more imperatively, the organization ought to make sense of how to build up a safe data interchanges way between the cloud-based virtual network and the on-premises physical network.

This necessity, more often than not, is not a major issue for organizations with a current on-premises network; however, it implies that a lot of planning and preparation might be required before starting the movement procedure.

As an organization ponders the dangers and advantages of cloud...

Available deployment models while moving to cloud

We have three available deployment models while deploying to the cloud:

  • The Infrastructure as a Service or the IaaS model
  • The Platform as a Service or the PaaS model
  • The Software as a Service or the SaaS model

We will be discussing the advantages and disadvantages of these deployment models in detail, in the following sections.

IaaS

IaaS enables the cloud provider to openly find an IT infrastructure over the web in a financially savvy way. Following image will help you to understand IaaS Architecture.

Advantages of IaaS

...

Cloud migration checklist

You have to make sure that the following aspects are in place while going ahead with cloud migration:

  • Influence on business: You shouldn't begin the migration procedure with mission critical applications for the business. In the event that the business is a retail business, you shouldn't move internet business straight away. Or maybe, you should gain more understanding of cloud by first moving less critical supporting applications (for example, departmental applications, email servers, intranets, and so forth) to cloud.
  • Deployment environments: Clearly you will initially think about your less critical environments (for example, development environments and test environments), yet ensure you think about the production environment when you configure your test environment particularly. We prescribe you to utilize the very same configuration...

Architecture of a cloud computing ecosystem

In a cloud computing ecosystem, there are a number of computers, servers, and data storage equipment that together make the cloud of computing services. Cloud computing could incorporate any program (from data handling applications, to enterprise scale applications, to computer games). For the most part, every application has its own committed server paying little mind to the cloud provider you utilize.

To guarantee that everything works smoothly and proficiently, the cloud ecosystem utilizes a focal server (otherwise known as control server) to administer and monitor traffic and customer requests, which eventually includes the utilization of protocols (set of rules) and middleware (special software). The reason why middleware is utilized here is to permit different networked computers in the ecosystem to exchange information with each...

A bit more about cloud computing and migration


What began as cloud storage soon extended to incorporate services, for example, Software as a Service (SaaS), which have developed into a stack of business-profitable aaS models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Database as a Service (DBaaS), Data as a Service (DaaS), Backup as a Service (BaaS), and Disaster Recovery as a Service (DRaaS).

Close to the previous decade and a half, cloud services have quickly turned out to be a standout among the most noteworthy advancements in IT. The publicity encompassing cloud services made look as though all of an organization's IT assets ought to be immediately moved to the cloud. There is no disproving that, in specific cases, cloud services can be extremely advantageous. Be that as it may, cloud relocation maybe doesn't suit some cases.

Cloud may not be ideal for everything, but without a doubt it is important for everybody from numerous points of view. I foresee...

Parameters before adopting cloud strategy


Organizations need to guarantee ideal quantifiable profit, the most elevated amount of security, and an incredible end user experience and the greater part of this must be really accomplished if time is invested first in a cloud computing plan. The following sections highlight some key contemplations that each organization should have in its plan.

Developing and changing business needs

Investments in on-premise, high specification technologies with noteworthy and profoundly scalable storage capacity and security abilities can be greatly unsafe nowadays as the vast majority of organizations are rapidly changing and developing the ways they provide their services. The plan and architecture that serves the present business necessities may achieve the edge capacity limit considerably faster than anticipated, or may not meet new business requirements approaching in a year or somewhere in vicinity, regardless of how much planning and anticipation has been...

Prerequisites for an application to be moved to the cloud


In case of application servers, you ought to consider whether the application can work in the cloud with no glitches. Additionally, the application's execution must be thought about similarly.

Regularly, the compatibility is never a major issue for fresh applications that run on cutting-edge systems. Likewise, the execution shouldn't be an issue for such applications as the vast majority of cloud providers enable the hardware equipment assets to be assigned to hosted servers on an as-required mode. All things considered, there are two noteworthy contemplations that must be considered for such applications.

Performance

Despite the fact that you can arrange the hosted application server with hypothetically boundless compute and memory assets, the data transfer capacity of the web can at present hinder the application's general performance. It adds minimal value to have an elite hosted application server if web data transmission limitations...

Infrastructure contemplation for cloud


Another contemplation is the on-premises network. On the off chance that an organization intends to keep assets on-premises (even briefly), the cloud network must function as an expansion of the on-premises Active Directory forests. This implies that the organization will ordinarily need to deploy cloud-based domain controllers, DNS servers, and perhaps DHCP servers. All the more imperatively, the organization ought to make sense of how to build up a safe data interchanges way between the cloud-based virtual network and the on-premises physical network.

This necessity, more often than not, is not a major issue for organizations with a current on-premises network; however, it implies that a lot of planning and preparation might be required before starting the movement procedure.

As an organization ponders the dangers and advantages of cloud relocation, it is essential to remember that cloud migrations are not a win bust recommendation. Organizations do...

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Key benefits

  • Master the concept of analytics on the cloud: and how organizations are using it
  • Learn the design considerations and while applying a cloud analytics solution
  • Design an end-to-end analytics pipeline on the cloud

Description

With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data. This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning. By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementation

Who is this book for?

This book is targeted at CIOs, CTOs, and even analytics professionals looking for various alternatives to implement their analytics pipeline on the cloud. Data professionals looking to get started with cloud-based analytics will also find this book useful. Some basic exposure to cloud platforms such as GCP will be helpful, but not mandatory.

What you will learn

  • Explore the basics of cloud analytics and the major cloud solutions
  • Learn how organizations are using cloud analytics to improve the ROI
  • Explore the design considerations while adopting cloud services
  • Work with the ingestion and storage tools of GCP such as Cloud Pub/Sub
  • Process your data with tools such as Cloud Dataproc, BigQuery, etc
  • Over 70 GCP tools to build an analytics engine for cloud analytics
  • Implement machine learning and other AI techniques on GCP
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Publication date : Apr 10, 2018
Length: 282 pages
Edition : 1st
Language : English
ISBN-13 : 9781788839686
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ISBN-13 : 9781788839686
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Table of Contents

10 Chapters
Introducing Cloud Analytics Chevron down icon Chevron up icon
Design and Business Considerations Chevron down icon Chevron up icon
GCP 10,000 Feet Above – A High-Level Understanding of GCP Chevron down icon Chevron up icon
Ingestion and Storing – Bring the Data and Capture It Chevron down icon Chevron up icon
Processing and Visualizing – Close Encounter Chevron down icon Chevron up icon
Machine Learning, Deep Learning, and AI on GCP Chevron down icon Chevron up icon
Guidance on Google Cloud Platform Certification Chevron down icon Chevron up icon
Business Use Cases Chevron down icon Chevron up icon
Introduction to AWS and Azure Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
(6 Ratings)
5 star 33.3%
4 star 16.7%
3 star 0%
2 star 16.7%
1 star 33.3%
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Top Reviews

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Ojas May 23, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is bible for GCP. Contains detailed walk-throughs of how to get started with GCP. There is a video guide on YouTube by the same author which can be a great companion for with this book.Containts in the book are crisp, clear and to the point. Chapters are very well organized as well. I highly recommend having this book in your shelf if you are using/learning GCP.
Amazon Verified review Amazon
Santhosh Nov 08, 2019
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good book
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James White Feb 19, 2019
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
If you want to understand and get up to speed on GCP's data capabilities, then this book will help you understand them. If you are studying for the GCP Data Engineer exam, then this book will help you understand the use cases and high-level architecture of each of GCP's data apps. Combine this book with the Cloud Architecture book to fully understand how to use tools such as GCP's virtual private network, Stackdriver suite, Serverless Architecture, etc. This book tends to gloss over those topics compared to coverage of the data tools. There are some typos and you could probably find a lot of this info on the web, but if you want to save yourself some time initially, this book is a good place to start.
Amazon Verified review Amazon
Geo Bel Aug 20, 2018
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Good introduction to gcp despite the fact most of the information are available directly from Google website - at least a good summary and introduction
Amazon Verified review Amazon
Jim Jul 11, 2018
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Lot of typos make it hard to continue reading.
Amazon Verified review Amazon
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