Could you please give me some examples about where are you building and deploying your data products? Background of the question is to understand if data products are deployed on top of existing D&A components (e.g. Azure Data Lake, Databricks, SAP Datasphere, etc.) OR is there any specific platform or tailor-made solution.

Data & Analytics Strategy & Architecture

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Director of Product Management3 months ago

We use AWS Redshift to publish data products for consumption, we ingest, process, DQ, transform and aggregate in s3 prior to publishing. In past, we have built and published data products in Databricks, Snowflake and AWS s3.

Global Vice President, Industry Solutions in Manufacturing3 months ago

We are 100% cloud native. For the large-scale data products, we use Fabric (for new dev), Synapse and Azure Databricks. 1st party Azure products are preferable to avoid the maintenance hassle. So, think Event hubs instead of Kafka. Also, these days there has been a heavy usage of Copilot.

Chief Data Analytics Officer & SVP Digital Technology in Consumer Goods3 months ago

We are deploying 'data products' or data assets from existing data platforms (predominantly Databricks and Datasphere in our case). We then have analytics products that are built on our visualization platforms (Power BI and SAC) along with a master semantic model. Outside of this we use have a custom built portal to bring together all of the analytics products into one user experience.

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Senior Data and Analytics Leader in Government3 months ago

Ideally you want the data products to be residing in your data marketplace that would help with seamless sharing of data assets with the necessary governance in place. Lot of the current vendors like Databricks, Snowflake, Informatica etc. do provide marketplace capability that can be integrated with your data infrastructure. These marketplaces not only enhance data accessibility but also ensure compliance with data governance policies, thereby maximizing the value and security of your data assets. By leveraging the marketplace solution, you can create a more efficient, secure, and user-friendly environment for data product management and distribution.

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Hello,
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I would like to see if there is some consistency across industries in terms of definitions for data asset, data domain, and data product?

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Director of Enterprise Data & Analytics in Retail13 days ago

I look at those terms as general terms that do not have unique definition across industries, rather different forms of those terms by industry.

Data assets and data products are closely related, data domains are a ...read more

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Has anyone created a side-by-side comparison of Snowflake/DataBricks/Microsoft Fabric/Synapse on Azure? Could you please suggest a resource or share your thoughts?

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Director of Data & Analytics6 months ago

Snowflake and Databricks are the industry leaders in the modern data landscape. However, Databricks as a platform it offers more features and functions for typical D&A and Advanced analytics. When it comes to snowflake, it ...read more

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