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How to Build a Cloud Data Platform Part 1- Architecture

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For more info including classes resources and the coupon code for additional complementary training please click here: databricks.com...
In part 1 of this 4 part series, you'll learn how to combine the best of data warehouses and data lakes into a simple and unified approach with Delta Lake, for improved data reliability, performance, and operations. The How to Build a Cloud Data Platform technical training series explores how to use Apache SparkTM, Delta Lake, MLflow, and other open source technologies to construct your Cloud Data Platform with Databricks. These virtual sessions will include concepts, architectures, and demos.
At the end of each session, you will be given redemption codes for additional free Databricks self-paced training and/or demo notebooks for hands-on practice.
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Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering, and business.
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Опубликовано:

17 авг 2024

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Комментарии : 28

@vikasmca05 3 года назад

One of the best presentation on the data architecture available in RU-vid.

@akashalilili Год назад

Very well explained the concept of datawarehouse, datalake and how delta lake can help in realtime processing & availability of data.

@NicolasPappasA 3 года назад

This was an amazing breakdown of the architect, technology and approach! Thank you Doug and Databricks!

@ajajaj2 4 года назад

Thanks. Awesome as always. This has become my fav place to learn spark ♥️

@ThesamBETH 4 года назад

This is very informative. I would definitely love to try out Delta Lake

@iChrisBirch 8 месяцев назад

Great presentation

@virendradeshmukh9357 4 года назад

Its too much informative ..thanks so much DataBricks

@lambuth 2 года назад

This was an incredible summary!

@bharanidharanm2653 Год назад

Now I understand the literal lambda 😊

@viswanatheranki3448 3 года назад

Great presentation. Thank you Doug

@NeerajGarg 3 года назад

Thanks for making such a series public.. This would help a lot of professionals like me. Have following queries How to handle indexes? Is it possible to create/apply indexes on the data being stored. As per my understanding of spark so far is that, it would have to be handled during querying ( either using SQL or any programming interface like Python or Scala or R). Is my understanding correct? How to handle sorting? Again, my understanding is similar to above mentioned point by me? Please see if you can confirm. Thanks

@rushikeshbulbule8120 4 года назад

Thanks Databricks for awesome uploads.... .

@waqarahmad5939 10 месяцев назад

Great session. Is it a good idea to migrate an on-prem datawarehouse to a cloud data lake? Or it should be migrated as is to a cloud DWH?

@ruslandr 3 года назад

Great overview. Thanks!

@samanm5750 4 года назад

Can I have link to notebook?

@tadastadux 3 года назад

Is there a presentation available?

@kalpanavenkateswaran3421 4 года назад

Thank u Databricks.

@SuperLano98 4 года назад

Where I can subscribe in this video series ? I google it but don't find. Thanks

@SofianMesbahi 4 года назад

databricks.com/p/webinar/free-training-how-to-build-a-cloud-data-platform

@krish_telugu 3 года назад

I have a question, so the delta Architecture which is the 3 layers(bronze,silver & gold) is it visible externally or is it all under the hood?

@DuckStorms Год назад

You get to decide which tables you which to make accessible to which audiences. In fact, since this publication of this video series, Databricks released "Databricks SQL" and "Unity Catalog" which make it very easy to provide access these tables in a secure and governed way.