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Databricks is the perfect tools for data engineer
What do you like best about the product?
I like the simplicity of the tools and the user friendly UI. The think I like the most is the "Databricks Assistant" which really save me hours of coding, debugging and commenting my codes. Databricks is also use by a user community that continues to grow.
What do you dislike about the product?
The dashboards could be more accurate and have more features, although work is still in progress.
What problems is the product solving and how is that benefiting you?
We can use multiple languages (SQL & Python in our case) to resolve some problem like Golden record etc.
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My databricks experience in my work
What do you like best about the product?
Databricks is useful for his scabilty, control large volumetry of data and also small volume.
What do you dislike about the product?
Maybe the point of attention is to improve the dashboard part.
What problems is the product solving and how is that benefiting you?
Transfer large volume of data quickly.
The ETL, Governance,Monitoring is class apart as per the tools available across the Big Data Space
What do you like best about the product?
The Unity Ctaalog, Lakehouse Monitoring and the Data Lineage and Fix on the anamolyin Data linegae are the wow featires
What do you dislike about the product?
Nothing as of now, We are good to go with this.
What problems is the product solving and how is that benefiting you?
NOthing We have found, our POC is working well and the actual implementation is superb.
Databricks & UC
What do you like best about the product?
The seamless integration and easy use of catalog and lakehouse federation and the easy implementation of pipelines using DLT without configuration overhead. Foregin catalog implementation ,which makes data available for frequent use and the best in class customer support helps whenever I am stuck.
What do you dislike about the product?
Initially for a company which just starting and for a single user , costing can be a issue.
What problems is the product solving and how is that benefiting you?
Problem of having n number of security models is easily handles by Unity Catalog,
Having one platform where I can govern and keep an eye on all my data and keep check on users , is a real blessing.
Having one platform where I can govern and keep an eye on all my data and keep check on users , is a real blessing.
Data Engineering with Databricks
What do you like best about the product?
I like Databricks because it provides all the elements necessary for mass data processing, the different components (notebook, cluster, jobs) are very well integrated and quite easy to use. A lot of training is offered to understand in depth the possibilities offered in Databricks, which makes it much easier to use.
What do you dislike about the product?
The Dashboard part integrated into Databricks is quite limited and does not allow the creation of complex and relevant dashboards
What problems is the product solving and how is that benefiting you?
Databricks solves the problem of scalability, it's easy to manage a large amount of data as a smaller one.
Databricks for data world
What do you like best about the product?
It provides some key features like workspace, notebook, Apache spark, Delta Lake, and Scalability. It provides a centralized environment where teams can collaborate. We can work on Jupyter Notebook with Apache Spark which provides the engine that powers all processing of dataset. It provides Cross-team collaboration so engineers, analysts, scientists, and ML engineers can work seamlessly on the same platform. It also provides consistency with notebooks, users can transition between tasks and programming languages without the need for context-switching.
What do you dislike about the product?
In this Databricks platform, we can't migrate a library from the dev workspace to the prod workspace.
What problems is the product solving and how is that benefiting you?
It provide some key features like workspace, notebook, Apache spark, Delta Lake and Scalability.
It provide centralized evn where team can collaborate.
We can work on jupyter notebook with Apache spark which provide engine that power all processing of dataset.
It provide Cross-team collaboration so enengineers, analysts, scientists and ML engineers can work seamlessly in the same platform.
Consistency: with notebooks, users can transition between tasks and programming languages without the need for context-switching.
It provide centralized evn where team can collaborate.
We can work on jupyter notebook with Apache spark which provide engine that power all processing of dataset.
It provide Cross-team collaboration so enengineers, analysts, scientists and ML engineers can work seamlessly in the same platform.
Consistency: with notebooks, users can transition between tasks and programming languages without the need for context-switching.
One stop solution for all Data need
What do you like best about the product?
Databricks provides multiple language support as well as a well guided UI for all the processing needs. Moreover it has in-built diagnose of error which helps debugging and save time. It has also a well guided Documentation available.
We can implement data engineering work loads as well as data science workloads so it can help one organisation frequently changing domains. It also has wide integration with all cloud providers and legacy systems. Having any explicit issues can be resolved with Customer support available readily.
We can implement data engineering work loads as well as data science workloads so it can help one organisation frequently changing domains. It also has wide integration with all cloud providers and legacy systems. Having any explicit issues can be resolved with Customer support available readily.
What do you dislike about the product?
Having prior cloud account can be an issue sometimes. Understanding its workflow can sometimes be a challenge to users.
What problems is the product solving and how is that benefiting you?
Having all integrations at one place helps saving time, resources and cost. Providing scalability to all resources helps saving efforts.
Databricks Review
What do you like best about the product?
I like to use it for creating my ETL Pipelines. Its features helps us to make the data transformation so easy.
What do you dislike about the product?
There is nothing to dislike as of now. It is best as it is.
What problems is the product solving and how is that benefiting you?
It helps us in creating and maintaining the ETL Pipelines. The data transformation features are very useful to have in the pipelines. Its data security and integrity is very useful for maintaing a healthy pipeline.
Decent platform
What do you like best about the product?
I like that a lot of components are built so you just need to use or manage it
What do you dislike about the product?
I dont like that i cant install driver and items on clusters to be used by multiple users
I also dont like that a lot of the GEN AI items (transformers, hosting own models, fine-tuning) doesnt work with the given examples from databricks
- makes something simple take weeks to develop
I also dont like that a lot of the GEN AI items (transformers, hosting own models, fine-tuning) doesnt work with the given examples from databricks
- makes something simple take weeks to develop
What problems is the product solving and how is that benefiting you?
LLM, Model development
Helps to use it. But doesnt really add the performance capacity when the DS arent using spark apis
Helps to use it. But doesnt really add the performance capacity when the DS arent using spark apis
ETL developpement on the Databricks Data Intelligence Platform
What do you like best about the product?
Simple of use. One unique point of truth and of work. Very easy governance and very convenient and secure way of sharing the data, which is one of the biggest issue in the industry
What do you dislike about the product?
Not especially easy to handle at first, at least for the data engineering, real time streaming part.
What problems is the product solving and how is that benefiting you?
Real time streaming processing of the data, and secure data sharing
These have been complicated to set up with other technologies, and is greatly simplified with Databricks.
Moreover the automated governance that is provided is greatly beneficial.
These have been complicated to set up with other technologies, and is greatly simplified with Databricks.
Moreover the automated governance that is provided is greatly beneficial.
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