Adrian Estala

A9) What percentage of our data is actually used to drive business decisions? If we could find a way to identify and focus our time on that small percentage, we could all get our weekends and holidays back. :) #eWEEKchat

A8) Focus on people. Create a culture that celebrates new ideas, data-driven decisions and embraces rapid iteration. #eWEEKchat

A7) continued...We need to make sure that we are building a sustainable abstraction layer that can enable flexibility and change on the back end, without disrupting the data science and business consumers on the front. #eWEEKchat

A7) There are even bigger shifts on the horizon for the back-end data architecture. On the front end, we are rapidly enabling users with more tools. These dependencies could cripple our ability to maintain growth and innovation. #eWEEKchat

A6) The engineer in me expects a complete transformation for how we think of and use data. But, as a grey haired IT veteran, I understand we have a tremendous amount of work to do in establishing reliable governance frameworks to make all of this 'hype' a reality. #eWEEKchat

A5) Self-service. As a CDO, one of my favorite moments was being a part of a business focused data citizen enablement program. I would replicate that everywhere. If you want the business to move fast, let them drive! #eWEEKchat

A4) continued... Prioritize the quality effort where it is valued, define the right access rules after you aggregate the data into a product. #eWEEKchat

A4) We need to rethink our approach. Instead of focusing effort on the infinite rows and columns on the furthest end of our architecture, we need to focus our efforts on the quality and access to data products that sit within arms reach of our consumers.  #eWEEKchat

Data quality. Data Access. It is frustrating because we have been struggling (not succeeding) with the same challenges for a long time, we need a new, modern approach.#eWEEKchat

A2) The obvious answer would be AI anything. I'm going to be more specific and highlight self-service enablement via data products. Enabling teams to drive and share their own insight with speed and confidence is as powerful a game changer as anything else. #eWEEKchat

Q1 .What an incredible time to be a data leader. Most don't have an effective strategy. We are still struggling to master the emerging AI capabilities (understand, prioritize, integrate, sustain) and we lack a focused line of sight for prioritizing business use cases. #eWEEKchat

We worked harder so you don't have to 🛠️ This week we released new features to power self-service analytics powered by #GenAI. Want to learn about these new updates? Check out this blog: okt.to/oJdsi7 #BigData #Analytics #AI #ArtificialIntellegence

Do you want a free ticket to one of the coolest data conferences next year? Come join us at our Happy Hour on Nov 27 at @AWSreInvent and enter into a raffle to win a ticket to Data Universe! There are only 10 tickets available! Register now: okt.to/6G53OU #AWSreInvent

Why is #datavirtualization useful? Download the early release chapter of our eBook, Data Virtualization in the Cloud Era. Learn about the technical underpinnings of data virtualization and how it fits into the modern #datamesh and #datafabric paradigms: okt.to/R7TIP1

📣 We are excited to announce new capabilities that support building interactive #dataapplications on the #datalake. These features help simplify development on a data lake by unifying #dataingestion, #datagovernance, and data sharing on a single platform. okt.to/FJuypT

Game theory in data analytics twitter.com/i/broadcasts/1…

Please check your kids' Halloween candy. One of our customers just found an unexpected Snowflake bill in their son's Snickers bar. #CDWcosts

"Generally, the cloud provides a stronger security posture for data assets; however, organizations need to ensure that they configure the controls correctly." @AdrianEstala_ - @starburstdata Article from @techopedia about 6 #cloudmigration practices: okt.to/Zrtfnc #CDO

Don't let your data costs snowball. Join us for this discussion with Tom Nats and Andrew Brust to gain insights into the latest @GigaOm report about the performance comparison between the #datalakehouse and the #DataWarehouse: okt.to/CLbh8v  #bigdata #datalake

How can you use #AI and #dataproducts together to improve the user experience? Check out this blog from @AdrianEstala_ about operationalizing data products with AI to accelerate the delivery of business solutions: okt.to/XzZH2W #datadomains #datamesh #datalake