dbt vs. NetApp BlueXP

The prerequisite is that you have a supported database/data warehouse and have already found a way to ingest your raw data. Then dbt is very well suited to manage your transformation logic if the people using it are familiar with SQL. If you want to benefit from bringing engineering practices to data, dbt is a great fit. It can bring CI/CD practices, version control, automated testing, documentation generation, etc. It is not so well suited if the people managing the transformation logic do not like to code (in SQL) but prefer graphical user interfaces.

Incentivized

NetApp Cloud Data Sense (Cloud Compliance) is an AI algorithm that improves the way you interact with your data. We have used Cloud Compliance and it is effective and suited in Automatic discovery, mapping, and classification of all data. It simplifies discovery, classification, and labeling with powerful automation. It gives an accurate list of data sources, has a great analysis feature. We also used it to handle data in discernment. Cloud Compliance is appropriate and effective in all professional tech settings, from SBO to high industrial performance.

Incentivized

• dbt supports version control through GIT, this allows teams to collaborate and track the data transformation logic.
• dbt allows us to build data models which helps to break complex transformation logic into simple and smaller logic.
• dbt is completely based on SQL which allows data analyst and data engineers to build the transformation logic.
• dbt can be easily integrated with snowflake.

Incentivized

• Automate discoveries and data
• Proper and suitable Classification
• Secure labeling
• automate data deleting process

Incentivized

• Field-level lineage (currently at table level)
• Documentation inheritance - if a field is documented the downstream field of the same name could inherit the doc info
• Adding python model support (in beta now)

Incentivized

• Increased storage
• Data efficiency
• improved privacy regulations

Incentivized

dbt is very easy to use. Basically if you can write SQL, you will be able to use dbt to get what you need done. Of course more advanced users with more technical skills can do more things.

Incentivized

I actually don't know what the alternative to dbt is. I'm sure one must exist other than more 'roll your own' options like Apache Airflow, say, bu tin terms of super easy managed/cloud data transforms, dbt really does seem to be THE tool to use. It's $50/month per dev, BUT there's a FREE version for 1 dev seat with no read-only access for anyone else, so you can always start with that and then buy yourself a seat later.

Incentivized

In contrast to others, NetApp Cloud Data Sense is driven by more powerful AI algorithms that have given space for efficient automated controls and reporting that enables users full privilege over their data. The automatic discovery is trusted, with maps and data classification. Then others analyze well, structured and unstructured data in the cloud, also visualize data better.

Incentivized

• Simplified our BI layer for faster load times
• Increased the quality of data reaching our end users
• Makes complex transformations manageable

Incentivized

• Does background check well
• Scan résumés
• Handles employee review process
• Flag suspicious results in data

Incentivized