Data Build Tool (DBT), An Emerging Data Transformation Tool

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Author: Gulraiz Hayat,

DBT or Data build tool is a cloud based open-source tool that is slowly taking over the data world. It helps data analysts and engineers transform and manage data in their data warehouses. It is often used in conjunction with data modeling and business intelligence tools like Looker, Tableau, and Power BI.
The main purpose of dbt is to build and manage data pipelines by transforming raw data into analytics-ready data in a data warehouse. dbt does this by allowing users to define their data models in SQL and then automatically transforming raw data into these models. DBT can also automatically generate documentation for these models, making it easier for users to understand the relationships between different datasets and the transformations that were performed on the data.
DBT is designed to work with a wide range of data warehouses including Snowflake, BigQuery, Redshift, and Postgres, and is highly extensible, with a large and growing community of developers contributing to its development.

Languages used in DBT:

DBT supports the use of languages mentioned below:

1. SQL
2. Jinja
3. Python

DBT (Data Build Tool) primarily uses SQL for defining and building data models, transformations, and other data artifacts. It also supports Jinja, a templating language that allows for more dynamic and flexible SQL queries.

In addition to SQL and Jinja, DBT also supports Python for more advanced use cases, such as custom macros, tests, and models. Python can be used to extend DBT’s functionality and integrate with other tools or systems.

Finally, DBT also supports YAML, a markup language used for configuration files, such as defining data source connections and other project settings. YAML is used to configure and customize DBT projects, allowing users to define their data pipeline and transformations in a structured and repeatable way.

Distinguishing features of DBT:

There are numerous applications for DBT. The following are some typical use cases:


You can create models in DBT without the hassle of first creating a table then inserting values into it. You just write the ‘select’ statement and DBT does the rest. This quick process of creating tables is the modularity of DBT.

Creating and Managing Data Pipelines

DBT can be used to create optimized SQL code that can be executed against a data warehouse or other data storage system after data models are defined using SQL. Users may create and maintain a scalable data architecture thanks to this.

Data quality and Integrity Assurance

DBT offers a variety of capabilities that make it simpler to guarantee data quality and integrity. This contains the capacity to carry out tests for data validation and trace the history of data to comprehend how it has changed through time.

Standardization of Data Transformation Processes

DBT offers a uniform and standardized approach to data transformation and analysis, making it easier for data analysts and engineers to deal with data. This can facilitate the extraction of insights and the use of data to inform business choices, helping firms to improve the quality and dependability of their data.

Collaboration Made Easy:

The creation of a collaborative environment for data teams is made possible by dbt, which enables data analysts and engineers to collaborate on the same data models and transformations. This can facilitate better communication and cooperation across data teams and facilitate completion of challenging data projects

Use Cases:

DBT is a versatile tool that can be used in a variety of use cases, including:

Data Warehousing: DBT enables you to build, manage, and maintain data pipelines that transform data in a cloud data warehouse. With dbt, you can extract data from multiple sources, transform it, and load it into your data warehouse.

Analytics: DBT enables you to build analytics-ready data pipelines that can be used to build dashboards, reports, and visualizations. With dbt, you can transform data in a way that makes it easy to analyze and visualize.

Machine Learning: DBT can be used to prepare and transform data for machine learning models. With dbt, you can join, filter, and transform data in a way that makes it suitable for machine learning.

DBT On Premises and DBT Cloud:

DBT can be used on cloud using the IDE integrated on their website. You can use this link: https://cloud.getdbt.com/
You need to sign up and then you can start using it. You have to tell it the target and source database. dbt makes all the basic files needed for the starting the project. You can click on the develop tab and see the IDE as shown below:

The other way to use dbt is on premises. You can make a clone of the GitHub repository containing all dbt files in your local machine. Then you can run it on any of your favorite IDE, after integrating it with DBT. DBT on premises is much faster in running the query but it does not have the feature of previewing the model as dbt cloud does. Another distinguishing feature of dbt cloud is that it creates lineage of all the sources being used in creation of a table.

How to Use DBT:

Inside the files that DBT creates automatically, you can find the models folder. Inside this folder you can create your SQL scripts. You can set the name of the file exactly as the table that needs to be created in your target database. You have to write the ‘select’ query in this file and save it. dbt will automatically create the table in target database after you run that model using ‘dbt run’ command.

Pros and Cons of DBT:


Ease of Use: DBT is easy to learn and use, especially if you are already familiar with SQL. It simplifies the development of data pipelines by enabling data teams to write modular, scalable, and well-documented SQL code.

Modular Design: DBT’s modular design makes it easy to build and maintain pipelines over time. You can break down complex pipelines into smaller, reusable components, which makes it easier to manage and maintain the codebase.

Version Control: DBT’s integration with Git enables teams to collaborate effectively and maintain high-quality code over time. With Git, you can track changes, review code, and roll back changes if necessary.

Flexibility: DBT is a versatile tool that can be used in a variety of use cases, including data warehousing, analytics, and machine learning. It allows you to transform data in a way that makes it easy to analyze and visualize.

Open-Source: DBT is an open-source tool that is free to use and can be customized to fit specific use cases. The community around dbt is active and provides support, making it easy to get help when you need it.


SQL-Based: DBT’s SQL-based approach may not be suitable for users who prefer to use other programming languages. While dbt supports Python, users who prefer to use other languages may find dbt less appealing.

Limited Functionality: DBT’s primary focus is on data transformation, which means that it may not be suitable for users who require more advanced ETL functionality. Users who require more advanced functionality may need to use additional tools in conjunction with dbt.

Learning Curve: While DBT is relatively easy to use, there is still a learning curve involved. Users who are new to SQL or data pipelines may need some time to get up to speed with dbt.

Cloud Dependency: While DBT can be used locally, it is designed to work in the cloud. This means that users who prefer to work locally may find dbt less appealing.

Lack of Native Visualization: DBT does not provide native visualization capabilities, which means that users need to use additional tools to create dashboards and visualizations based on their data.


DBT is a powerful and versatile tool that simplifies and automates the development of data pipelines in a cloud data warehouse. It enables data teams to build modular, scalable, and well-documented pipelines that transform data into analytics-ready outputs. DBT’s ease of use, modular design, version control, flexibility, and open-source nature make it an attractive option for data teams looking to streamline their data pipelines. While dbt may not be suitable for all use cases, it is a tool that is worth considering for any organization looking to improve their data pipeline development process.

In short, DBT is super easy to use and makes the T part in ETL as quick as possible.

GITEX Global 2022 and DevGate

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Author: Amna Qasim,


GITEX GLOBAL (Gulf Information Technology Exhibition) is the world’s largest tech show, organised by, and taking place at, the Dubai World Trade Centre in the United Arab Emirates.

Over the years, GITEX GLOBAL has enhanced its international influence, expanding its footprint beyond the Middle East and reaching a far wider audience from Africa, Asia, Europe, North America, and Latin America. The event has also become an annual agenda for biggest names in the global tech world, including Microsoft, Huawei, IBM, Dell Technologies, Ericsson, Avaya, Honeywell, Hewlett Packard Enterprise, e&, Lenovo and Cisco.

With the participation of more than 250 government entities leading strategic digital projects and public-private partnerships and over 1,000 speakers across 14 dedicated conference tracks delivering 500-plus hours of engaging content, GITEX GLOBAL unites the world’s most influential ecosystems advancing business, economy, society and culture

A Few Glimpses of GITEX Global 2022

Being a preferred hub for high-tech companies, Dubai has now set its sights firmly on becoming a global hub for the metaverse community. It is no wonder that Dubai ranks number one globally for foreign direct investment (FDI) and technology transfer in the AI and robotics sectors. It is noteworthy that the Dubai Metaverse Strategy aims to turn the emirate into one of the world’s top 10 metaverse economies.

Interestingly, the year 2022 is being referred to as the year of the ‘Rise of the Metaverse’ and rightly so. It also marks the start of the Web 3.0 Revolution. What we are witnessing currently is next level technology disruption that is opening the doors to the next Digital Universe, and this was the very crux of this year’s iconic technology event, GITEX Global. Held at the Dubai World Trade Centre from October 10-14th, the largest edition till date, the event saw the coming together of the world’s technology community on a single platform.

Gitex Global, the UAE’s annual tech event, began on October 10 and ended on October 14

It was an extraordinary five days with revolutionary developments, innovative technologies, futuristic solutions, driverless cars, AI-driven products and incredible robots. The 42nd installation of GITEX Global, the UAE’s annual tech event, began on October 10 and ended on October 14.

Some of the key highlights of the 42nd edition of GITEX included the flying car, driverless taxi, holographic human, robots, and the new generation of virtual reality headsets, Hololens 2 by Microsoft, among others. However, what completely stole the show was the X-VERSE. Inspired by the Dubai Government’s vision and roadmap to become one of the top 10 cities globally in the Meta-verse economy, X-VERSE united the world’s most advanced tech ecosystems to empower diverse industries within the meta-verse.

The event featured a global lineup of companies and startups, showcasing innovative solutions across the meta-verse, artificial intelligence (AI), Web3, block-chain, 6G, cloud computing, fin-tech and big data. Here are some key highlights from Gitex Global.
RTA Dubai signed five MOUs with regional and international technology companies. It forged partnerships with the private sector and harnessing advanced technology solutions in running operations. The MOUs have been signed with Amazon Web Services (AWS), Microsoft, Moro Hub (Data Hub Integrated Solutions), Trapeze Middle East Telecommunication Equipment Trading and SAS.

The Federal Authority for Identity, Citizenship, Customs and Port Security (ICP) recently announced the launch of the third generation of UAE passport. At their #gitexglobal2022 stand UAE nationals can apply for new and renewed passports.
Residents who wish to apply for a new Emirates ID or want to renew their cards will soon be able to do so without having to leave their homes. At the ongoing Gitex Global in Dubai, the Federal Authority for Identity, Citizenship, Customs, and Port Security (ICP) on Thursday announced the launch of a new smart service that will make Emirates ID applications hassle-free.

Team DevGate Participation

Since DevGate aims to be a world-class supplier of IT services, solutions and strategies, globally, our team did participate in the exhibition.

It was an honor for DevGate to participate in this undisputed technology event, where global industry leaders, start-ups, and game changers came together to present their technologically advanced solutions, and discuss, debate, and challenge new ideologies, as well as highlight new products and discover future opportunities.

Nearly 4000 technology companies from around the world came together to network and explore opportunities every year on this incredible and vast platform, which hosts more
than 800 start-ups, over 1000 speakers, and more than 170 exhibitors.


With some really interesting interactions and after getting to know some amazing people and innovative startups it’s safe to conclude that the DevGate team had 4 really exciting days at Gitex. We cannot wait to be back next year and seeing you guys at Gitex 2023. Until next time!

Exploration of DevGate’s Business Solutions

DevGate is a global leader in Custom/Enterprise software solutions, CRM Consultation /Implementation, Power Apps, Mobile App Development, Software Solutions, Web Development solutions, and other Emerging Technology solutions for Digital Transformation.
At this major GITEX event, DevGate showcased the continued progress it has made toward digital transformation and previewed its comprehensive operational framework, which will significantly improve the quality and value of the digital services it offers.   We have a dedicated team of experts that guides, implements, and develops the best solution for our clients. It is our top priority to listen to our client’s requirements.


GITEX is a great event to witness if you are nearby or if you are working in the technology domain. This event provides incredible networking opportunities, global exposure, more sales, and investments. However, it is not a fancy technology show where robots perform and drones fly around – it’s not an event for leisure or entertainment. Unless you are passionate about technology, in which case GITEX would be a treat for you.

Small-Business Financing: Compare the Best Options of 2022

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Payroll loans for small businesses: 6 options (plus helpful tips)

Sometimes as a small business owner, payday approaches and you realize you are short on the cash you need to pay your employees. This doesn’t automatically mean your business is struggling – it happens in periods of high growth as well. However, it’s a problem that payroll loans for a small business can solve. Read on to learn more about these loans and find some tips for making payroll.

What is a payroll loan?

A payroll loan is an umbrella term that includes the many types of small business loans, including private short-term loans and government-backed long-term loans that can be used to cover payroll..

How do payroll loans work?

The way payroll loans work varies by loan type. For example, if you’re using a merchant cash advance to cover your payroll expenses, you might repay your loan in daily increments. That’s a very different model than if you were to use SBA 7(a) loans for payroll financing where you’ll repay your loan in predictable monthly installments over a longer period of time.

Another thing to consider: With payroll loans, you might need funding sooner than later to pay your team. If that’s the case, your options might be limited to loans that offer rapid funding – and these loans often have terms that are unfavorable. You might get saddled with high interest rates and short repayment periods, resulting in higher monthly payments compounded by those high interest rates. If possible, it’s generally best to get a borrower-favorable loan, even if you have to wait longer for your funding.

6 payroll loan options for your small business

Whether you need to pay your employees tomorrow or you’re putting a fallback plan in place for future potential cash flow issues, you may have options. The below financing options may work wonders as payroll loans for your small business.

1. SBA 7(a) loans

SBA 7(a) loans are often considered the gold standard by small business funding experts. These government-backed loans come with long repayment periods, low interest rates, and high potential loan amounts. With SBA 7(a) working capital loans, you can cover payroll without generating a mountain of extra debt that needs to be repaid quickly.

Speaking of quick, SBA 7(a) loans have one considerable drawback when it comes to payroll loans. Namely, if you desperately need to pay your employees now, you can’t quite do that with SBA 7(a) loans. Completing, filing, and hearing back on your loan application can take a month – sometimes more. That said, if you qualify for SBA 7(a) loans, they’re a fit in every other way. And if you can wait to cover your expenses, you’ll be grateful you didn’t incur short repayment terms and high interest rates.

Below are some quick facts about SBA 7(a) loans.

Loan amount: $30,000 to $350,000
Repayment period: 10 years
Repayment schedule: Monthly
How long you’ll wait for funding: Typically at least 1 month