dbt vs. HPE Private Cloud

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.

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In our organization, we are using HPE Cloud Volumes for backups storage. HPE Cloud Volumes has given the flexibility of maximum availability and scalability. Now adding space is not a cumbersome process and it can be easily managed by HPE Cloud Volumes as per our need. In another scenario, we have used HPE Cloud Volumes for temporary storing the data for Datacenter move activity. On the downside, I think HPE Cloud Volumes solution is not suitable for temporary need as its more of a long term solution.

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• 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.

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• It Really simplifying our day to day operations for engineers to maintain the backup needs, aligning our infra to actual use
• You can leverage efficient,and, we have kind of mixed needs for cloud and on-premises storage, It does exceptionally well
• It really provides a Ransomware Protection and long-term retention.
• It delivers simple diaster recovery and also its statisfy our backup needs from the edge to cloud for our genesys applications.

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• 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)

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• Not suitable for small scale enterprises
• Initial setup is bit difficult
• Pricing can be more flexible which can suits different customer of different needs.

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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.

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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.

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HPE Cloud Volumes Backup unlocks agility and powers innovation. It really eliminate the complexity of day-to-day hassles. For our On-premises and Muticloud backup needs Based on our evaluavtion , we had to come to this decision to go for HPE

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

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• Backups on HPE Cloud Volumes has significantly reduced the cost of on premise handling of backups
• It provided storage for datacenter move which reduced the migration time
• Hosting smaller application in HPE Cloud Volumes has helped in saving operating cost.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info