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Cloud Computing: The Pros, Cons and the Unknowns

Cloud Computing: The Pros, Cons and the Unknowns, Small and large businesses all over the world are switching to Cloud-based solutions.

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Cloud Computing The Pros Cons

If there is any technology that has evolved tremendously over the last few years, then that has got to be Cloud Computing. Small and large businesses all over the world are switching to Cloud-based solutions, and it has been predicted that by 2020, enterprises will shift 83% of their workload to cloud-computing platforms. Amazon Web Services, Google Cloud Platform, Microsoft Azure and IBM Bluemix are a few of the front-runners of the cloud computing realm. Now before we move towards Cloud Computing’s pros and cons, let’s find out what this technology is.

1. What is Cloud computing?

Cloud computing delivers on-demand computing resources, such as data storage, over the internet. Cloud computing is ideal for businesses that have to carry out database management in remote locations. Cloud computing services are generally paid. Businesses that use cloud computing services save a substantial amount of money over their operational costs. Plus, with everything being readily available over the cloud, businesses can enhance their efficiency and increase their productivity, simultaneously.

2. The Pros

Cloud Computing The Pros Cons and the Unknowns

Cloud computing is one of the best ways through which businesses can switch from the conventional and traditional ways of running operations to incorporating cutting-edge solutions that ensure better efficiency. To help you understand the pros better, following are the ways through which you can reap the benefits of cloud computing:

Cloud computing requires no hefty machinery or equipment to run. That makes it the most cost-effective method to maintain and use. Cloud computing eliminates the cost of setting up data centers and looking after them. Plus, cloud computing platforms are much cheaper when it comes to keeping the company’s IT expenses in a moderating-flow.

Another great thing about using a cloud computing platform is the unlimited capacity of data storage. Even if your cloud storage platform prompts you there’s limited space available, then you can always upgrade it by paying a little extra fee, whenever the need arises.

Cloud computing is great when it comes to scalability. In case you’re wondering how: Cloud computing is super-flexible when it comes to delivering the right amount of IT operations. For instance, when there is a heavy data transfer about to take place from or to the cloud. The cloud would ultimately consume a great computing power, storage, and internet bandwidth consumption.

Cloud-computing is second to none in terms of recovering the data in an uncalled-for situation. Sometimes, data can be inevitably mishandled. So instead of panicking, you can recover it from the cloud, whenever the need arises.

3. The Cons

Just like everything has its cons, there are some associated with Cloud computing, that you might experience at some point. To help you get a clearer image of those cons, we’re jotting down a few that you must keep an eye out for:

The security of the data stored on the cloud is something that everybody is concerned about. It doesn’t matter what package you decide to go for while choosing the cloud computing platform, you can’t deviate from the reality, i.e. you will be placing your sensitive data and information in the hands of a third party service. Given how risky it is, you must always do your homework before picking the right cloud computing service. Therefore, always take your time and pick the one that is reliable and 100% secure.

One simply can’t ignore the vulnerabilities of trusting someone else with your company’s sensitive data and information. Storing data on the cloud is akin to exposing your company’s important data and information to the potential threats over the internet. Therefore, to keep such information from becoming a hacker’s playground, always remember to keep your passwords discreet. Plus, every once or twice a month, don’t forget to update your cloud’s password.

Another drawback that shakes cloud computing’s reputation is its likeliness to fall in the clenches of technical issues. Every time your cloud computing service provider experiences a technical glitch, you might find yourself locked out from accessing your own information. It sounds a bit stressful, doesn’t it? Therefore, no matter how greatly accessible your data becomes while using a cloud computing platform. You simply can’t ignore to prepare for situations like these.

4. All in All

In this era where everything is pacing rapidly towards digitization, cloud computing solutions have come forth as life saviors for businesses everywhere. To wrap it up, it would be apt to state that cloud computing has helped businesses save a substantial amount of money. Gone are the days when companies allocated a hefty budget on maintaining and installing their data centers. Now, they can store an endless amount of data, using a cloud computing software online. Thus, if you have been worrying about the decreasing productivity and efficiency of your employees, then consider shifting your business activities to the cloud.

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]

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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

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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.

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.

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