A "Data" Look Ahead for 2020 Jan. 3, 2020

from The Cloudcast·

SHOW: 431 DESCRIPTION: Greg Knieriemen (@knieriemen, Director of Technology Evangelism at @NetApp) talks about the growing importance of data to reshape business, emerging data trends and standards, working around 5G networks and more. SHOW SPONSOR LINKS: * UpCloud - World’s fastest cloud servers * UpCloud (promo) - Sign up for free, receive a $50 credit and try us out! * MongoDB Homepage - The most popular database for modern applications * MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP * Datadog Homepage - Modern Monitoring and Analytics * Try Datadog yourself by starting a free, 14-day trial today. …



SHOW: 431

DESCRIPTION: Greg Knieriemen (@knieriemen, Director of Technology Evangelism at @NetApp) talks about the growing importance of data to reshape business, emerging data trends and standards, working around 5G networks and more.

SHOW SPONSOR LINKS:

  • UpCloud - World’s fastest cloud servers
  • UpCloud (promo) - Sign up for free, receive a $50 credit and try us out!
  • MongoDB Homepage - The most popular database for modern applications
  • MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP
  • Datadog Homepage - Modern Monitoring and Analytics
  • Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt
  • [DONUT RUN DONATIONS] * *

    SHOW NOTES:

  • Go Your Way (podcast)

  • Enterprise Te.ch (Greg’s newsletter)
  • California’s new Data Privacy Law - California Consumer Privacy Act (CCPA)

    Topic 1 - Welcome back to the show. For anyone that doesn’t know you, tell us a little bit about your background, and some of the areas you focus on now.

    Topic 2 - Let’s start by having an executive-level discussion about “data”. Everyone loves talking about developers and applications, but how do you explain to an executive about the value of managing data as a core business asset? What makes data so valuable in 2020?

    Topic 3 - The world used to be “big servers” + “big relational database”

    • “storage array”. Now that model is blow up into 100s of distributed elements, lots of technology choices, lots of locations. Is there a way to think about data in these distributed models?

    Topic 4 - What are some of the emerging data standards that people should be aware of, or learning more about? [[alternatives to 5G](https://www.bloomberg.com/news/articles/2019-12-20/apple-has-top-secret- team-working-on-internet-satellites)]

    Topic 5 - Data moved from a cost “liability” a while ago, to an “asset” as we started talking about Data Lakes and AI/ML models. Have you found any metrics or conversations that people understand (in the “analytics context”) about how we justify keeping data - or trying to acquire more data.

    Topic 6 - We’ve got cheaper ways to store data, faster networks coming (e.g. 5G, alternative options) and cheaper/faster CPUs (e.g. ARM). When these dynamics change, new things emerge that we’ve never thought of before. Are you starting to hear people discuss interesting new business ideas yet?

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