D36 No. 22: After-Action Report: Data for Breakfast w\ Snowflake
Deck 36 Issue No. 22: After Action Report for Data For Breakfast Event Hosted by Snowflake.

D36 No. 22: After-Action Report: Data for Breakfast w\ Snowflake


A Summary & Trip Report for March 28, 2024 Snowflake Software Demonstration


Editor's Note: The last published issue of Deck 36 was Issue No. 19. Issues No. 20 and No. 21 are taking a little longer to write than I had originally planned, so we are skipping to Issue No. 22 for now. We shall return to the previous 2 issues when they are ready.

Thanks for reading everyone! We really appreciate it.


By: Jim O'Flanagan & Edi Oapsie



Event Details

This is a highlight video from my visit to the Embassy Suites near Cleveland, OH for Snowflake's "Data for Breakfast" demo event.

Music by: Dean Martin, "Let It Snow"


Location: Embassy Suite, Dockside Road

Date: March 28

Time: 8 AM to 12 PM


Why I Attended


The "Data for Breakfast" event, organized by Snowflake at the Embassy Suites in Independence, Ohio, represented an ideal platform to explore cutting-edge technologies in AI, ML, and Generative AI. With the tech landscape rapidly evolving, the quest for alternatives to OpenAI's tech stack has become more crucial. Snowflake's reputation for pioneering in cloud data solutions offered a promising glimpse into advanced analytics capabilities that could streamline data handling and insights extraction processes.


Event Summary


The event unfolded as a comprehensive showcase of Snowflake's prowess in data management and analytics, offering a rich agenda filled with expert presentations, interactive demonstrations, and valuable networking sessions. The highlight was the participation of Intricity , a specialist in simplifying complex data management challenges, and their impactful presentation that underscored the depth and flexibility of Snowflake's platform.


Intricity, known for bridging the gap between business and technology, spotlighted Snowflake's ability to process multimodal data inputs, presenting Snowpack as an innovative IDE for AI, and elucidating on Snowflake's multi-cloud and cross-cloud adaptability. The presentation delved into how Snowflake facilitates a seamless transition for businesses from dealing with mere data to harnessing actionable information.


The lecture by the gentlemen from Penske, a global player in truck fleet logistics, provided a concrete example of Snowflake's application in real-world scenarios. Penske's use of data science to optimize their logistics and improve fleet management highlighted the tangible benefits of integrating advanced data analytics into operational strategies.


Last observation: The food was excellent!


Sights & Sounds from Snowflake

No particular reason for this video. I've been jamming to Extreme a lot lately, so this song has been on repeat in my head for a little while.

Music by: Extreme, "Hole Hearted"


If you're keeping score, here is a list of the new/buzzy terms (to me!) I heard that day in Independence, Ohio.


  • Data Lake and Data Lake House: Discovery of new terminologies, underscoring the evolving landscape of data management.
  • Negative Engineering: Praised approach, indicative of Snowflake's user-centric design philosophy.
  • Data Integration in Snowflake: Simplifying the intricacies of data management through seamless integration.
  • Certified Datasets in Tableau by Penske: Demonstrating the importance of data validation and reliability.
  • Hydrating My Data Lake: The process of enriching data repositories for enhanced analytics.
  • Multimodal data input: Emphasis on the variety of data forms that Snowflake can process.
  • Snowpack: Introduced as an IDE specifically tailored for AI.
  • Multi-cloud and cross-cloud compatibility: Highlighting Snowflake's agility in a diversified cloud environment.
  • Data vs. Information: A critical examination of what businesses possess and what they actually need.
  • Legacy Data Upgrade: The necessity of updating outdated data systems.
  • Data Gravity and Its Challenges: Discussing the cost and complexity of moving data.
  • Bringing Compute to Data: A shift towards a more efficient data handling method.
  • Top-Down Design with Data: Focusing on solving problems first and gathering data later.
  • Negative Engineering: A unique approach to UX Design, as praised by the attendees.
  • Content Creation by Analysts: Insights from Penske on viewing analysts as content creators.
  • Certified Datasets in Tableau: Mention of Penske’s strategy for data validation.
  • Data Integration in Snowflake: How integration simplifies data management.
  • Data Lake and Data Lake House: Introduction to new terms and their significance in data management.


Next Steps


The insights gained from "Data for Breakfast" have solidified my intention to closely evaluate Snowflake for its potential to overhaul our current tech stack. The concept of a "Data Lake House" is particularly intriguing for engineering managers because it represents a hybrid model combining the best of data lakes and data warehouses. This model facilitates unstructured and structured data analysis in one place, dramatically enhancing data agility and insights generation.


The notion of "Negative Engineering" or user-centric design is another key takeaway, emphasizing the removal of unnecessary complexities to enhance user experience (UX). For engineering managers, understanding this approach is crucial, as it directly impacts the development of more intuitive and effective tools and platforms. Implementing such UX philosophies can lead to higher adoption rates and more efficient use of technological solutions within organizations.


Armed with the knowledge of Snowflake's advanced analytics, integration capabilities, and its unique approaches to data management and UX design, I'm poised to conduct a thorough evaluation. The aim is to leverage Snowflake's technology to not only replace our existing systems but to elevate our data analytics capabilities to new heights, ensuring we stay at the forefront of technological advancements.


Conclusion


The "Data for Breakfast" event by Snowflake was a revelation in the true potential of data management and analytics. With practical insights from industry leaders like Intricity and Penske Truck Leasing , the session was not only educational but also a testament to the transformative power of data when harnessed through innovative platforms like Snowflake.


#Snowflake

#DataforBreakfast

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__________________________________

??The Galaxy of Edi??

https://oapsie.com

https://eastrimtrail.com

https://stow.mortgage

https://www.galaxyofedi.com

https://www.youtube.com/@galaxyofedi1979


Ishu Bansal

Optimizing logistics and transportation with a passion for excellence | Building Ecosystem for Logistics Industry | Analytics-driven Logistics

10 个月

What were some of the most impressive technologies showcased at the Data for Breakfast event by Snowflake?

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