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5 Reasons Why Your Business Requires Database

5 reasons why every business requires a good database. A good database helps the business to organize or gather all essential information from the clients or customers.




5 Reasons Why Your Business Requires Database

Well, you are going to establish a new business, and then it is an easy and complicated task too to make a deal with. It means that if you or a person can say entrepreneurs make a proper deal with concept y considering all things, then making starting of new business is an easier process for them. On the other side, if they take the same process lightly, then it becomes totally difficult for them to handle the same process. Also, another thing that you require after handling the business is the database.

Not only the database, one should make use of a good database to make their business effective and successful. Therefore, in the same post, you are going to meet with the steps which help you in the process of starting a business and also the major reasons why every business requires a good database to get positive results. So, before going to start with anything, one should learn the entire concept that is mentioned above.

Business Requires Database

A perfect and step by step guide for starting a new business

So you are surely going to establish a business. Well, it sounds good, but the main thing is that did you plan everything or outline everything that what things, plans, ideas, and strategies you require in the same concept. To make an appropriate deal with the same concept, one should require some basic ideas, plans, and strategies to establish their business properly. So, mentioned below are some steps which you need to follow for establishing a good business:

Improve your idea

It means that when you are thinking about starting a business, then you easily and properly know that what things you are going to sell or in which market you are going to take entry. So, you have to make little research on the companies or businesses which are present in the market to the business you also do. It is because by the same method you easily know what requirements you have to fulfill which other businesses don’t complete.

Outline a business plan

Once you know to get everything about your business, then you must write a perfect business plan accordingly. In the same plan, you have to ask some questions from yourself that what are the goals of your business, to whom do you sell, what’s the real purpose of your business and many more things also. In your business plan, all the entire things have to come to state your business objective.

Get all your finances

The next is to gather all the finances which you have, or you can say which the business establishing process requires. You need to make a proper estimate of the amount that is required in the same process and then cover everything easily.

Buy an insurance policy

Well, it is the main thing which people need to know properly. When they establish their business properly, after then, they have to buy an insurance policy for their business to protect it from any harm and uncertainties.

Not only are these, but there are also some other steps available which people need to consider when going to start up a business. Some other essential steps are like they have to register with government and IRS, study their business structure legally, create your team, select vendors, make yourself a brand and then advertise and at lastly grow up your business. All these steps help you in starting up the business process perfectly. With, you can get the best database for your business.

database for business

5 reasons why every business requires a good database?

Here are the main 5 reasons mentioned below, which prove why every single business needs a good database. So, you need to know all the reasons properly and then implement a good database in your business to make it more effective than before. Before going to meet with the reasons one should know that the database is perfect or you can say organized storage of all information of the business.

Businesses that are small making use of the database in various ways. A good database helps the business to organize or gather all essential information from the clients or customers. Also, the database keeps a record of all your business expenses, financial information and also the track sales, etc.

Centralized systems

One major reason is that when you make use of the good database, then your business becomes able to make good and proper records of all your business information, track sales and also the information of inventory, etc. It provides you proper safety in a secure and centralized manner.

Appropriate management for HR (Human Resource)

It is another good reason behind the same concept. When you make a good and HR database in your business, then it helps you a lot by saving a good amount of money as well as time also. It is because the same type of database performs everything quickly and also effectively to make your business good.

Handle customer data and relationships

The third reason is that a good database in your business helps you in making strong relationships with the customers. Also, it helps you by recording all the essential data of the customers.

Track inventory efficiently

When you make use of the database in business, then it helps you to maintain good records of your entire track inventory and also effectively or efficiently.

Make a plan for business expansion

The last major reason why all business requires a good database is that it helps the business in getting growth easily. It provides all information about the future needs of customers and tracks everything perfectly as the same things help in the growth of the business.

So, these are the major 5 reasons which prove that all business requires a good database. It is the only best and simple option to make your business effective and run it decently. The more you make use of the database in business, the easier you get positive results. Refer to for help.

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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




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: –


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: –

CONCAT(‘A’, ” “, “B”)


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: –

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


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”.


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


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

Syntax: –



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

Syntax: –


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])


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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