dataops

In this episode of Humans of AI, host Sheikh Shuvo engages with Audrey Smith, the Chief Operating Officer of MLTwist. They delve into the fascinating world of automating data pipelines and the crucial role of DataOps in AI development.

Key highlights of this episode include:

• Audrey's Unique Perspective: Coming from a non-technical background, Audrey shares her unique viewpoint on machine learning and data operations, emphasizing the importance of diverse perspectives in tackling data bias.
• The Evolution of DataOps: Audrey discusses her journey from law to leading operations at ML Twist, shedding light on the growing complexity and significance of DataOps in the AI industry.
• Future Trends and Challenges: The conversation explores future trends in AI, such as the rise of synthetic data and the impact of regulatory frameworks like the EU AI Act on data management and ethical AI development.

Join us for an enlightening discussion that uncovers the layers of DataOps and its integral role in shaping the AI landscape.

This story was originally published on HackerNoon at: https://hackernoon.com/the-new-data-engineering-landscape-dataops-vectorops-and-langchain.
DataOps, VectorOps, and LangChain integration creates powerful applications that combine efficient data management, high-dimensional data processing.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data, #dataops, #devops, #vectorops, #vector-search, #langchain, #gpt, #bert, and more.

This story was written by: @epappas. Learn more about this writer by checking @epappas's about page, and for more stories, please visit hackernoon.com.

As large language models (LLMs) like GPT-4 emerge, managing high-dimensional data structures becomes increasingly important. LangChain, an LLM-powered application development framework, integrates with DataOps and VectorOps processes and utilizes vector databases to create data-aware, interactive applications.

COVID-19 catalyzed federal health IT to expand innovation around health equity, data management and improved customer experience. In 2022, federal health agencies focused on interoperability, cybersecurity, DataOps and more to ensure equitable, accessible and secure health services. Our researchers reflect on the top news and trends of 2022 including the PACT Act, electronic health records and data modernization, and how these efforts will drive momentum in 2023.

DataOps is having a moment. Where does it sit in the data lifecycle? And how is this emerging trend changing data management today? To find out, Satyen sits down with guest speaker Michele Goetz, author of The Forrester Wave: Enterprise Data Catalogs for DataOps.

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“DataOps is really the engineering and practices of designing and developing data capabilities, launching them out to production and ensuring that they're providing value and delivering on the outcomes that businesses expect in being able to use that data.” — Guest Speaker Michele Goetz

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Time Stamps

* (0:00) The birth of DataOps

* (2:43) What is DataOps?

* (11:18) DataOps and the Data Mesh

* (18:41) Diving into data prep

* (22:09) Tackling data governance for your data catalog

* (31:17) The future of the data cataloging landscape

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Sponsor

This podcast is presented by Alation.

Learn more:

* Data Radicals: https://www.alation.com/podcast/

* Alation’s LinkedIn Profile: https://www.linkedin.com/company/alation/

* Satyen’s LinkedIn Profile: https://www.linkedin.com/in/ssangani/

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Links

Connect with guest speaker Michele on LinkedIn

Check out Forrester

Noah Gift, author of "Practical MLOps", discusses MLOps, which are tools are techniques used to operationalize machine learning applications. Host Akshay Manchale spoke to Noah about the foundational aspects such as basic automation through DevOps, data...

We all know that data drives the information economy, but the efficiency of that engine makes all the difference. That is why DataOps came to be. Savvy practitioners realized that taking a quality manufacturing approach to data management could yield wonders for agility, awareness, and growth.

Find out more on this episode of #DMRadio as Eric Kavanagh interviews Yves Mulkers of 7wData and Christopher Bergh of DataKitchen, a pioneer of DataOps.

This episode features an interview with Prukalpa Sankar, Co-Founder of Atlan. Atlan is a venture-backed startup building a modern data workspace. Prukalpa also co-founded SocialCops, a data for good company behind landmark projects such as India’s National Data Platform. Prukalpa is a recognized industry leader, landing on the Forbes 30 Under 30 list and Fortune’s 40 Under 40.

In this episode, Prukalpa and Sam discuss how diversity is a data team’s biggest strength, why governance isn’t always a bad thing, and what they hope the modern data stack will look like in 5 years.

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“Diversity is our biggest strength but our biggest weakness, because it's really hard to make that team collaborate. Because most of the teams in the world are very uniform. So when every single person in the room is a subject matter expert on something, nobody else actually can have oversight on each other's work because they've never done it before. Then how do you create true trust? How do you create trust when things are breaking? If you're able to create a way for these diverse people to collaborate really effectively, to be a dream team, a dream data team where they trust each other and they can collaborate effectively, then magic can happen.” – Prukalpa Sankar

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Episode Timestamps:

[01:55]: What open source data means to Prukalpa

[05:38]: Prukalpa’s journey to data for good movement

[04:51]: How Prukalpa and her team provided gas to 80 million Indian women

[06:33]: How diversity can help a data team succeed

[15:10]: What gives Atlan its magic

[18:58]: How being open by default influenced Atlan’s architecture choices

[22:45]: The reality of the modern data stack in 5 years

[27:36]: Advice for people getting started with DataOps

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Links:

LinkedIn - Connect with Prukalpa

LinkedIn - Connect with Atlan

Twitter - Follow Prukalpa

Twitter - Follow Atlan

Visit Atlan

Follow Ryan here:  https://www.linkedin.com/in/ryan-w-gross/

Tools to explore: 

• Keboola: https://www.keboola.com/
• Thoughtspot: https://www.thoughtspot.com/
• Mozart Data: https://www.mozartdata.com/
• A good SQL course: https://www.udemy.com/course/the-complete-sql-bootcamp/

From the Publisher:

• Subscribe on Apple: https://podcasts.apple.com/us/podcast/data-in-construction/id1604092908
• Subscribe on Spotify: https://open.spotify.com/show/2AUUpaT0yYueyah826JOOQ?si=a34ca4e3acf24835
• Sign up for the Data in Construction Book: http://eepurl.com/hTtFPH
• Sign up for Data in Construction skills webinars
• Buy The Construction Technology Handbook here: https://www.amazon.com/gp/product/B08PNHBB1M/ref=dbs_a_def_rwt_bibl_vppi_i0

A good DBA is hard to find. This is because a good DBA wears many hats, often equating to 3 – 4 full time jobs. How can this be achieved or sustained? The secret is automation, and automation is also the reason the DBA is disappearing. In this final episode of our three-part series exploring the disappearing DBA, Head Geeks Thomas LaRock and Kevin Kline along with GitHub Star and Dual Microsoft MVP Chrissy LeMaire offer advice to data professionals looking to advance their careers by embracing automation. 

This podcast is provided for informational purposes only.
© 2021 SolarWinds Worldwide, LLC. All rights reserved.

Pour faire suite à l'entretien HPE avec Charles Henry, l'équipe USP voulait discuter quelques minutes des informations partagées et faire echo à la conférence HPE Discover qui se déroulera dans peu de temps !

(Episode enregistré à l'époque du Podcast Français du Stockage)

Follow us on Twitter @TerminusDB for news and updates. Full Webinar can be access on YouTube

Follow us on Twitter (@TerminusDB) for news and updates. Full Webinar can be access on YouTube.

In this episode I talk about why you should have all your data science projects in version control / source control. I discuss why it is important, how to get started, the gotchas and how to version control data science projects. 

In this episode, Jarah Euston discusses:

1. How is Data Operations being redefined – 2015 Vs 2017 & Beyond
2. Top challenges most data-driven executives face when it comes to gaining insights from their data.
3. An opportunity that most data-driven organization are unaware of – this is going to be blow up in next couple of years
4. Entrepreneur / Executive Special Edition:
   1. How to achieve unstoppable momentum for your startup (whether you work in a scrappy startup environment or a large org, this applies to you!)
   2. How to get better at making presentations
   3. Women Tech Entrepreneurship: Challenges and Path to Success
5. Top stories she uses when communicating with C-Suite about Data Science

About Jarah Euston:

Jarah Euston is a growth and analytics leader who has propelled several Silicon Valley Startups to the top.

Jarah is one of the Business Insider’s “28 Most Powerful Women in Mobile Advertising.”

Jarah served as growth and analytics leader at Flurry, Yahoo, and most recently Nexla, an early stage next gen data ops startup, winner of several startup awards, including Strata Hadoop and TechCrunch Disrupt.

Jarah has a background in Economics and an MBA from Wharton

To learn more about Jarah and Nexla, please visit nexla.com or reach out to Jarah “at” nexla.com

About Nexla:

Nexla automates DataOps so companies can quickly derive value from their data, with minimal engineering required.

Nexla’s secure platform runs in the cloud or on-premise. It allows business users to send, receive, transform, and monitor data in their preferred format via an easy to use web interface.