UNITY CATALOG - more than an Introduction #1

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Unity Catalog is a fine-grained governance solution for data on lake house.
It helps simplify security and governance of your data by providing a central place to administer and audit data access.
Unified catalog: A unified catalog stores all your data, ML models, and analytics artifacts, in addition to metadata for each data object. The unified catalog also blends in data from other catalogs such as an existing Hive metastore.
Unified data access controls: A single and unified permissions model across all data assets and all clouds. This includes attribute-based access control (ABAC) for personally identifiable information (PII).
Data isolation: Data isolation can be achieved at multiple levels-environment, storage location, data objects of increasing granularity-without losing the ability to manage access and auditing centrally.
Data auditing: Data access is centrally audited with alerts and monitoring capabilities to promote accountability.
Data quality management: Robust data quality management with built-in quality controls, testing, monitoring, and enforcement to ensure accurate and useful data is available for downstream BI, analytics, and machine learning workloads.
Data lineage: Data lineage to get end-to-end visibility into how data flows in lake house from source to consumption.
Data discovery: Easy data discovery to enable data scientists, data analysts, and data engineers to quickly discover and reference relevant data and accelerate time to value.
Data sharing: Data can be shared across clouds and platforms. Delta Sharing is an open protocol developed by Databricks for secure data sharing with other organizations, or with other teams within your organization, regardless of which computing platforms they use.
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[@muhammadshahid5370]

Excellent overview of UC. Looking forward to more in this series. Thank you !!

[@deepjyotimitra1340]

Such a detailed video. Your explanation is very nice.

[@amolharale4205]

Excellent explanation,,Thank you

[@sravankumar1767]

Nice concept very interesting 👍 👌

[@peterko8871]

"it's nothing but" a good summary :)

[@MichaelNielo]

Thanks nice one, very helpful

[@subhamdas5609]

Yesterday I attended one interview & this was asked on the same, your video helped a lot😊😊

[@thotavaniias6139]

Thank you bawana.i have learnt lot of things from your playlist.i request you to make videos on airflow and reporting tool.most of the organizations look into employees who have expertise on airflow.

[@hrushikeshlangute1282]

contents are very good but how can we get unavailable videos?

[@lalithanamadeya]

Actually at timestamp 5:03 , the representaion is bit wrong as unity catalog is under metastore.

[@lohit8819]

Hi, firstly great video. I have a suggestion actually. If you could hyperlink the specific topics required as a prerequisite which you have mentioned in the video it would be really helpful. Thanks

[@souradeepghosh1996]

Great work, can you do a video on how we can orchestre data pipelines using azure data factory that perform their transformation in databricks notebooks?

[@HimaniSharma-k7e]

is there any place where UC migration from hive metastore is shown ??

[@skasifali4457]

Please show a demo to read from external location as a file and table

[@EDWDB]

please make video on spark ui and troubleshooting

[@sandipkumar-ir8ww]

Its superb video . 3 video are unavailable for me in Unity catalog , kindly help me to get all three video also

[@cloudfitness]

They are already scheduled as upcoming videos that's why you can't see them as they haven't been released. Thankyou!!!

[@majetisaisowmya909]

Hi, Can U Please help me with this"Create Metastores,Catalog,Tables Automatically Via Python Or Powersheel" i request u to help me Please

[@sravankumar1767]

Can you please share this document

[@RohitSharma-ny1oq]

Hellow bhawna , u are in which company

[@piotrrybka318]

After first sentence saying that UC is a data governance solutions, you were only blurring it more and more to suggest that it is something like a high level container for databases. This made the whole topic extremely unclear. And to make things worse, right away you went into details. Sorry, but for me the video obscures the topic.