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Transformation step of ETL/ELT pipelines made easy
What do you like best about the product?
Using DBT Cloud, the IDE is very intuitive, project lineage diagrams are very helpful.
The general use of Jinja referencing and CTE's within the models made the flows very easy to follow, even with very large complex datasets that require lots of transformation.
DBT integrates very easily with multiple ELT tools that we have used.
Have all transformations in SQL form just makes everything easier.
Being scheduled easily, we run multiple DBT pipelines daily.
The general use of Jinja referencing and CTE's within the models made the flows very easy to follow, even with very large complex datasets that require lots of transformation.
DBT integrates very easily with multiple ELT tools that we have used.
Have all transformations in SQL form just makes everything easier.
Being scheduled easily, we run multiple DBT pipelines daily.
What do you dislike about the product?
With DBT Cloud you can only have one project per user without paying for a payed tier of the product, which is fair but makes for harder collaboration at this level.
What problems is the product solving and how is that benefiting you?
Previous functions that were performed as adhoc scripts in python were made easy, running at a fraction of the time due to being rewritten in a significantly more efficient manner. Various functions across the business that require some sort of data transformation or manipulation, often previously manually were centralised all on one platform being DBT. Workflows and pipelines flowed more logically, and were scheduled and automated easily. Reports that are used daily by the business run quickly and very reliably. Tests and checks to validate data that was also previously done manually are all now integrated into the pipelines and automated, making multiple teams lives easier.
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Dbt is all you need for your ETL processes.
What do you like best about the product?
DBT is an all in one tool. You dont have to leave the plaform to get the things done in the right way. The readibility and code structure is very nice.
What do you dislike about the product?
The documentation is not very extensive.
What problems is the product solving and how is that benefiting you?
It helps me to do the following things-
1. Visualise the lineage
2. Continous integration
3. Run tests and view documentation
4. Run job schedules with ease
5. Help transform and move data between different sources
1. Visualise the lineage
2. Continous integration
3. Run tests and view documentation
4. Run job schedules with ease
5. Help transform and move data between different sources
Using dbt at work
What do you like best about the product?
The best thing about dbt is how easy is for you to load and transform the data using some built in features. They listen to the community's problems and always updating by adding packages and new features in order to make your life easier.
What do you dislike about the product?
If there was any downside, dbt had already solved it by introducing new features and adapting to the problems that community have faced.
What problems is the product solving and how is that benefiting you?
Introducing clarity to the business world by showing them (in business terms) all the inormation that they beed about data
Dbt Cloud is exactly what a lean and mean team needs!
What do you like best about the product?
Pipeline execution management is easy!
- Task dependancies are easy to manege
- Excution logs are deatiled
- Alerting is easy
- Initial setup is super easy
Convenient dev enviroment
- The git integration enables to easily spin up development environemnts, check out a development branch and run you code in a production like environemnt
- Task dependancies are easy to manege
- Excution logs are deatiled
- Alerting is easy
- Initial setup is super easy
Convenient dev enviroment
- The git integration enables to easily spin up development environemnts, check out a development branch and run you code in a production like environemnt
What do you dislike about the product?
Would be nice to be able to set up several Snowflake connections for the same project.
What problems is the product solving and how is that benefiting you?
It reduces the hassle and the overhead around data pipeline automations. Makes it easy to keep a lean and mean team, yet have everything you need for a production data pipeline
Ease of working in a team
What do you like best about the product?
Transparency for everyone, with dbt the task of working on data as a team is made easier. We can apply different processes in our analysis thanks to the ease that dbt provides, application of tests, governance and observability. Even though it is not a tool specifically for this, it helps to apply dataops
What do you dislike about the product?
Learning time, despite being quick to learn, requires time to better understand its features to speed up the development process
What problems is the product solving and how is that benefiting you?
transparency over data transformation, managing to bring business people closer to the data
This is a versatile product that figures data-centric tasks by virtue of its robust features.
What do you like best about the product?
Having worked closely with data teams using dbt for the last year, I understand its benefits of a lightweight and version-friendly SQL work. This makes PG ideal for teams with multiple users because it simplifies code execution across different environments. Running functions in parallel leads to increased productivity, which is one of the most significant advantages. This is a versatile product that figures data-centric tasks by virtue of its robust features. The interface and usability of Dbt is commendable, making it very easy execute a complex data operation flow without any friction.
What do you dislike about the product?
On the flip side its advanced functionality can sometimes be a case of good things never used. It is quite difficult to leverage the maximum capabilities of this language, especially when you have a very limited number of examples of syntax which kind of makes it feel like there is some creativity limit on it preventing one from properly dwelling deep into exploring what its core functions are.
What problems is the product solving and how is that benefiting you?
Dbt has been a game changer in terms of how we process data. The benefit is that it eliminates manual repetition of tasks and controls process consistency in different stages. This has proven to be much more time-efficient as well as the data is simply more accurate – which directly supports improved project management goals.
DBT is a great tool that has saved our data team a lot of time.
What do you like best about the product?
Model creation and CI/CD are top features.
Thanks to DBT we have reduced the inconsistency of our data models and we reduced the number of manual tasks performed by the team.
Thanks to DBT we have reduced the inconsistency of our data models and we reduced the number of manual tasks performed by the team.
What do you dislike about the product?
The documenting process could be improved.
Since we started using DBT, the load on our data warehouse has skyrocketed. Tools that optimize queries would be greatly appreciated.
Since we started using DBT, the load on our data warehouse has skyrocketed. Tools that optimize queries would be greatly appreciated.
What problems is the product solving and how is that benefiting you?
We use DBT for data consolidation and transformation. DBT is a key piece of our data infrastructure.
Every piece of information gathered from the different sources using fivetran is processed using DBT: from marketing events to information about our car's performance (we a car leasing company)
Every piece of information gathered from the different sources using fivetran is processed using DBT: from marketing events to information about our car's performance (we a car leasing company)
Tool which provides simplified coding experience
What do you like best about the product?
I have been using dbt over more than a year now and I am using it almost every day as a data engineer. Its very simple to use and it is advantageous in many ways. It is easy to implement the code pipelines using dbt. The user interface is pretty good. Modularity and reusability is most useful feature. Also it is very useful in debugging with its code lineage feature. It is easy to integrate it with cloud data platforms such as Snowflake or Redshift. Also I have interacted with the support team from dbt for some of my doubts. I would recommend it to data architects to consider dbt in the modern data stack projects.
What do you dislike about the product?
It would be better if we have column level lineage available in dbt.
What problems is the product solving and how is that benefiting you?
dbt is solving the code lineage problem which is very difficult when we have a lots of SQL scripts. Also custom as well as user defined tests helps me in maintaining the data quality. This helps me in saving our teams precious time compared to time spent in solving defect or bug is raised by our reporting team.
DBT
What do you like best about the product?
Cloud.dbt has proven to be an invaluable tool for our data modeling and analytics needs. Its seamless integration with cloud platforms, user-friendly interface, and robust features have significantly streamlined our workflow. The platform's automation capabilities have allowed our team to focus more on deriving insights from data rather than dealing with intricate modeling processes. The collaborative environment enhances team productivity, making it a standout solution for organizations aiming to elevate their data analytics game. I use it daily.
What do you dislike about the product?
Remember me during sign in doesn't work.
What problems is the product solving and how is that benefiting you?
Automation of jobs and syncing with database
Easy to use tool for building and managing data models!
What do you like best about the product?
Automatically created ERD diagrams and much more metadata about models built.
What do you dislike about the product?
Updating versions can be time consuming and cumbersome.
What problems is the product solving and how is that benefiting you?
It allows me to batch and process data querying elsewhere so users get to experience high performance datasets (queried on 100 million+ rows)
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