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DBT : Instant solution (ELT) - Big Data DE Scenario's
What do you like best about the product?
The ease with which I have done multiple POC and demonstrated to the customers having their products in various domains. I would say that setup and installation were pretty simple.
What do you dislike about the product?
I don't see any as of now. Will surely share once I have any.
What problems is the product solving and how is that benefiting you?
One of the Data Engineering scenarios required an ELT operation, and I found DBT was the best fit for it. The best part is that the computation runs on the core engines.
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dbt is a one-stop destination for warehouse-native modelling and transformation
What do you like best about the product?
1. Analytics as code
2. Documentation-first experience
3. New capabilities and roadmap look promising (eg. Semantic Layer)
4. dbt Community and conferences are helpful for team to grow
2. Documentation-first experience
3. New capabilities and roadmap look promising (eg. Semantic Layer)
4. dbt Community and conferences are helpful for team to grow
What do you dislike about the product?
1. Not much honestly! :) - all of the below is good to have
2. dbt Docs is slow when there are a ton of models
3. Enterprise edition pricing is unclear/not public
2. dbt Docs is slow when there are a ton of models
3. Enterprise edition pricing is unclear/not public
What problems is the product solving and how is that benefiting you?
dbt Labs is helping us model the raw data on our Snowflake instance as code. It helps us keep our team lean and make data available as models/metrics - reusable assets for our data team's consumers.
Where has dbt been for the last 10 years?
What do you like best about the product?
I've been an analytics professional working in databases for the last 10 years. dbt solves a large number of the problems I've encountered deploying code (be it often repeated analyses, reporting, or clinical rules) in a repeatable scalable way. dbt handles the repeatable processing and provides easy-to-consume documentation to share with others, so that I don't have to replicate the logic in separate documentation artifacts.
What do you dislike about the product?
Because of its youth, many highly-valuable features are distributed as add-on packages. It requires a significant commitment to understand the landscape of commonly used add-ons that are pervasive throughout the community. Looking forward to more highly-valuable functionality being built into the core software!
What problems is the product solving and how is that benefiting you?
dbt allows my organization to upskill our analytics professionals. The teams that own and use the key business logic can directly deploy updates and additions into our common warehouse environment and begin to use and share it quickly.
DBT enabled us to focus on added value of data
What do you like best about the product?
- Easy to use UI
- Lineage
- Enforced methodology that is scalable
- Data quality tests
- Scheduling & automations
- AAA documentation
- community support
- Lineage
- Enforced methodology that is scalable
- Data quality tests
- Scheduling & automations
- AAA documentation
- community support
What do you dislike about the product?
- Settings are not always super clear
- Convenient features of Dataform that are missing: run assertions (tests) within the model
- no recommendations for CLI commands
- Convenient features of Dataform that are missing: run assertions (tests) within the model
- no recommendations for CLI commands
What problems is the product solving and how is that benefiting you?
- Orchestrating & scheduling transformations (gain of time and reliability)
- Data quality tests (gain in reliability)
- Re-use of models (gain in time and consistency)
- Data quality tests (gain in reliability)
- Re-use of models (gain in time and consistency)
Great transformation tool!!!
What do you like best about the product?
I like a lot the fact that is so easy the initial setup and the fact that a lot of the features are available on the free pricing options. The documentation available about dbt is great also.
What do you dislike about the product?
Not all databases can be set up on the browser-based IDE, and you need to set it up locally.
What problems is the product solving and how is that benefiting you?
You can reuse many code when you refactor a model using dbt. The documentation is another excellent feature that helps a lot to understand the layers of the models and the different fields.
Excellent product
What do you like best about the product?
Documentation, testing. Combination of sql and yaml.
What do you dislike about the product?
Nothing found yet. If pushed I'd say that there's been one occasion where dbt downtime meant I couldn't work when I had time set aside
What problems is the product solving and how is that benefiting you?
Keeping the db simple and documented for other users
Amazing User Experience
What do you like best about the product?
Some of the best things about DBT include its ability to automate and streamline many typical data analysis tasks, its support for a wide range of data sources and destinations, and its intuitive, easy-to-use command line interface.
What do you dislike about the product?
One thing that was initially hard about DBT is that it can be hard to set up and configure, especially for users like myself who are new to data analytics and using command line tools
What problems is the product solving and how is that benefiting you?
DBT has benefitted me by allowing me to develop and manage my own data analysis pipelines more efficiently and effectively. By automating many typical data analysis tasks and providing a simple, intuitive interface for working with data, DBT can help me save time and effort when working with large or complex datasets.
dbt has allowed our small team to deliver outsized value
What do you like best about the product?
dbt has provided a framework for implementing a data pipeline that would have required 3x the resources previously. The integrations with Fivetran and Hightouch give us control and insight over the breadth of our data lifecycle that wasn't previously possible. Additionally, the integration with GitHub and built-in testing has allowed us a level of rigor that has dramatically increased the business' confidence in our data output.
What do you dislike about the product?
We primarily use dbt cloud, and the interface has sometimes been slow and a bit 'clunky' - although the latest release shows promise in resolving some of those concerns! Additionally, it would be great in the future for some tools that help migrate existing SQL native pipelines into dbt.
What problems is the product solving and how is that benefiting you?
Before implementing dbt, we had transformation/logic living all across the organization (some in native source data systems, some in the Data Warehouse, in our reporting layers, etc.), with little to no oversight. dbt has allowed us to centralize and monitor all of that logic in one tool and provide validation via testing and code review via GitHub. The integrations between other tools in our stack (Fivetrand and Hightouch specifically) have saved us countless hours on modeling and development we would have had to do ourselves and allows us to focus on the 'last mile' and delivering value to stakeholders.
dbt for me has revolutionized the workflow around transforming data used for analytics
What do you like best about the product?
Dbt creates an entire streamlined workflow around transforming data from a source in a way that is best used for analytics
What do you dislike about the product?
Even though there is a lot of emphasis put on dbt cloud, the open source core version is still widely used.
What problems is the product solving and how is that benefiting you?
It is solving the problem of having an established workflow around transforming data for the purpose of analytics
Newbie to dbt
What do you like best about the product?
Easy to set up
SQL based
UI is intuitive
SQL based
UI is intuitive
What do you dislike about the product?
Lack of logs/metadata on job runs, the area around that isn't strong
What problems is the product solving and how is that benefiting you?
We are able to model our data for Looker outside of looker, so no need for PDTs etc
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