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Big Data

Things to Keep in Mind When Choosing a Cloud Services Solution

Picking the right cloud services solution is critical to ensuring long-term success. Click to know about how you can choose the right one for your business.

Published

3 years ago

October 3, 2019

Suhana Williams

Which Cloud Services Solution Is Best for You

The market for cloud services solutions is ever-expanding. With more and more businesses switching to cloud hosting and sharing platforms, now is the time to make the switch from the analog to digital way of trade. The Australian Bureau of Statistics reports that 42% of businesses in the country used some form of cloud computing facilities in 2017-’18, suggesting a sharp increase from 31% in 2015-’16.

Cisco studies predict that 94% of the workload will be taken care of by cloud computing systems, come 2021. With so many opportunities and services, the cloud solutions market is expected to reach $623.3 billion worldwide by 2023, as per Report Linker statistics.

Market giants like Google, Amazon, and Microsoft rule the roost when it comes to cloud computing. But there is more to it than just buying one that’s most popular. Sometimes, smaller cloud computing systems can offer customized services that strike a chord with your trade. But if you stick to the widely-known ones, you may end up losing the opportunity of streamlining your business even further.

This post aims to help you see two of the most crucial factors when it comes to cloud computing: knowing when to pick and knowing what to pick. Read on to gain a better understanding of which cloud services solution is most suited to your specific business needs.

Table of Contents

Pick the right time to choose a cloud services solution

Remember, you must not jump the cloud service bandwagon simply because everyone else is doing so. Instead of going with the flow, it is best to assess your business needs at first. You should do this BEFORE you set out to pick a cloud computing service for your business.

Here are a few things you must consider when assessing your business requirements with regard to the kind of cloud computing services you need.

Create a checklist of all the indispensable cloud requirements of your business.
Learn more about the technical, data governance, security, and service management needs for your business.
You should also consider things like chunking up workloads and migrating existing workloads into the new cloud computing framework.

Begin looking for a suitable cloud services solution only after you have a clear idea about all the business needs. Go through the rest of this post to determine the kind of cloud computing solutions that correspond with the business needs you list out at this stage.

Some business use normal cloud based virtual PCs and some of them use a advanced citrix virtual desktop for their IT infrastructure depending upon their needs.

Questions you should ask when picking a cloud services solution

Aligning business objectives

Simply stating your business objectives is not enough. How important are the outcomes that affect the success of your business?
Sarah Redland, an assignment help expert, remarks, “What are the resources that you are willing to allocate to achieve your business objectives when it comes to cloud computing services?”
Can you rank the business objectives according to priorities? Can you align the cloud service providers with the rankings?

Knowing service level agreements (SLAs)

SLAs are of various kinds – simple, broad, and complex. Go through each shortlisted cloud service provider to check what is included in the SLAs. Which one meets your business needs the best?

Are all the components of an SLA defined clearly? Do the definitions leave loopholes that could possibly harm your business in the future?

What happens when there is infraction within an SLA? What are the measures you can take? And what are the ramifications it will have for your business?

Figuring in security issues

Are the components in the cloud infrastructure single-tenant or multi-tenant in nature?
What type of network segmentation will you get with your cloud service solutions? And which are the ones you really need?
What happens to data security in-flight and at rest? It is the backbone of your business, after all. So, make sure you test the waters before taking a plunge.

Looking for cloud automation factors

Automation has a role in almost every business operation nowadays. But which are the areas that you would like to automate the most?
What happens to exposed application programming interfaces (API) during the move to automation? Do you have in-house minds to handle this, or do you need to hire outside help for the same?
Make sure you have a list of all apps that you need to make the move. Choose the right orchestration platforms for the apps. Will you need to rewrite some of applications to make them automation-ready?

Factoring in business continuity

Since cloud service providers are not always on the same page when it comes to business continuity, you must figure in your stance. What stance will the cloud solution provider offer?
Disaster recovery comes hand in hand with business continuity. What kinds of DRs does the cloud solution provider offer?
What are the recovery point objectives when it comes to continuity and disasters?

Identifying risk management and compliance

What kind of governance stance fits your bill the most within a cloud service solution?
How would you assess the risk management factors within the new framework?
What are the requirements for compliance from the business point of view, as well as the client’s perspective?
How is ownership defined in the cloud computing services? Who is the technical and legal owner of the infrastructure?
Are there controls in place within the framework that lets you maintain compliance?

Keeping your business migration-ready

Assess how ready your business currently is for the migration stage. Have you performed a cloud-readiness survey?
What are the interdependent factors within your business that you need to identify for the migration? Have you chalked out the day-to-day operations through cloud computing with your IT team?
Now comes the time to know more about the migration itself. Migration is one of the complex task which is needed to be performed with care whether it is an data migration or an Office 365 migration. Do you have to do it by yourself, or will the solution provider share the task with you?

Keeping leeway for service termination

Keep in mind that you will not be sticking to the same cloud computing software forever. Do you understand the service termination conditions?
What works best for your business when terminating the service – an email, a call or a written notice? Look for the fine print too.
When will the billing cease after you have terminated the services? Make sure you understand the billing cycle.
Coming to data security now. What happens to your data after the termination? Does it just go away, or does the company have the right to use it as it pleases?

Pricing matters and why they matter

Finally comes the matter of prices. See if you need to pay any upfront capital expenditures. Does the bill go under operational expenses?
Get a better understanding of the billing model. How is it calculated, and what are the increments?
Calculate your costs carefully. What is the bottom line for migration, utilization and preparation?

Parting words

Each business has a unique set of requirements and evaluation tactics when it comes to picking a cloud service provider. If you ask yourself the questions discussed in this post for each section of the selection process, the answers are sure to point you in the right direction. From certifications to contracts, make sure you have considered each factor carefully before zeroing in on cloud services solutions for your business. Make an informed decision. Godspeed!

Helpful Resources:

1. Impact of Artificial Intelligence (AI) on Software Development Industry in [2019]

2. Do Human Translators Have a Reason to Be Afraid of Advancing Technologies

3. Artificial Intelligence And Its Demands To The Programmers

4. Artificial intelligence (AI): Friend or Foe to Future Designers?

5. Top 20 Working 13377x Proxy List in [2019]

6. Top 10 Artificial Intelligence (AI) App Development Trends in [2019]

Big Data

How to Work with Strings in Google BigQuery?

How to Work with Strings in Google BigQuery? Key Features of Google BigQuery, BigQuery String Functions, BigQuery Substring Function

Published

9 months ago

June 20, 2022

TwinzTech

How to Work with Strings in Google BigQuery

Organizations nowadays produce a massive amount of data, simply storing and organizing, which is not enough and serves no purpose. It, therefore, becomes essential for businesses not just to collect and store the data but also to analyze it to derive valuable business insights.

Still, there comes a challenge of managing, maintaining, and analyzing these exponentially growing data using the outdated data warehouse technologies and here comes the role of Google BigQuery, one of the well-known and widely accepted Cloud-based Data Warehouse Applications, which allows you to trawl through vast amounts of data and find the correct data for analysis.

It offers various functions such as BigQuery Create Table, which helps store the records, BigQuery Substring, which eases down the complex calculations, and many others.

In this article, we will introduce you to Google BigQuery and its key features? We will also have an overview of the different BigQuery String Functions and BigQuery Substrings and how to work with them.

Table of Contents

1. What is Google BigQuery?

Google BigQuery is a cost-effective enterprise data warehouse solution and part of Google Cloud’s comprehensive data analytics platform for business agility.

It helps businesses manage and analyze the data with the help of inbuilt features like Machine Learning, Business Intelligence, and Geospatial Analysis.

Google BigQuery’s serverless architecture allows high-scale operations and execution of SQL queries over large datasets.

It is an enterprise-ready cloud-native data warehouse that covers the whole analytics ecosystem, including ingestion, processing, and storage of data, followed by advanced analytics and collaboration, enabling scalable analysis of the stored data.

2. Key Features of Google BigQuery

Key Features of Google BigQuery

Given below are some of the key features of Google BigQuery: –

Scalability – Google BigQuery is quite elastic in that it manages a vast amount of data and allows upscale or downscale per demand.
Automated Data Transfer – Google BigQuery supports automated data transfer through the BigQuery Data Transfer Service, which automates data movement into BigQuery regularly.
Real-Time Analytics – Google BigQuery facilitates the analysis of high-volume data in real-time.
User-Friendly Interface – BigQuery is a highly user-friendly platform and requires just a basic understanding of SQL commands, ETL tools, etc.
Multicloud Functionality – Multicloud Functionality is another feature of Google BigQuery which allows data analysis across multiple cloud platforms. BigQuery can compute the data at its original location without moving it to different processing zones.

3. BigQuery String Functions

Strings are a crucial part of the dataset whose manipulation and transformation significantly impact your analysis. There are various functions to modify and transform the Strings in Google BigQuery. Let us have a look at some of the essential BigQuery String Functions: –

a) CONCAT –

The CONCAT function helps to combine two or more strings to provide a single result. Here all the values must be Bytes or Data Types; if any of the input arguments is null, then the function will return the null value.

Syntax: –

SELECT
CONCAT(‘A’, ” “, “B”)

b) TRIMMING –

The TRIMMING function removes any particular character from the String. Trimming operations are of three types: –

c) TRIM (value1[, value2]):

TRIM removes all the leading and trailing characters that match value2. In case no character is specified, whitespaces will be removed by default.

d) LTRIM (value1[, value2]):

LTRIM Function removes the character specified from the left, and similar to the TRIM Function, if a character is not defined, it will remove the whitespaces by default.

e) RTRIM (value1[, value2]):

RTRIM Function removes the character specified from the right side, and again if no character is defined, then whitespaces will be removed by default.

Example: –

SELECT
‘Original String_’,
TRIM(‘ Original String_’) AS trimmed,
LTRIM(‘ Original String_’) AS left_trim,
RTRIM(‘ Original String_’, “_”) AS right_trim

f) REPLACE –

The REPLACE function can replace all the substrings within a string with new substrings.

Example: –

SELECT complaint_description,REPLACE (complaint_description,’Coyote’,’doggy’)as replaced_value FROM `bigquery-public-data.austin_311.311_service_requests` LIMIT 5
Here “Coyote” will be replaced with “doggy”.

g) CASE FUNCTIONS –

CASE functions are used to change the case of a particular string, and they are of two types LOWERCASE and UPPERCASE.

h) LOWERCASE –

LOWERCASE can be used to return the original String with all the alphabetic characters in the lower case for string arguments.

Syntax: –

LOWER(value)

I) UPPERCASE –

UPPERCASE can be used to return the original String with all the alphabetic characters in the upper case for string arguments.

Syntax: –

UPPER(value)

4. BigQuery Substring Function

BigQuery Substring Function helps to extract a section of the String in BigQuery. It helps make calculations and visualizations easier for the users and can be used in conjunction with other BigQuery parameters, which can help enhance the performance.

Syntax: –

SUBSTR (value, position[, length])

Conclusion

In this article, we discussed Google BigQuery and the key features that make it useful for businesses. We also discussed different BigQuery String Functions, which can be used to transform and manipulate strings in BigQuery, such as CONCAT, TRIMMING, etc., along with their syntax.

In the end, we will also discuss the BigQuery Substring function, which helps extract a section of the String in BigQuery and thus helps enhance the performance.