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In this episode, Wayne Eckerson, President of Eckerson Group and a veteran data strategy consultant with over 30 years of experience, and host Kent Graziano discuss the evolution of data operations since the Seven Pillars of True DataOps were established four years ago. They explore how the rise of AI and distributed data architectures has impacted data management while emphasizing that the core principles remain relevant. The conversation covers data marketplaces, governance, and the balance between centralized platforms and decentralized development in modern data architectures.
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Kevin Bair, VP of Data Cloud Architecture at Snowflake, discusses his 35-year career journey from federal systems to IBM and then Snowflake, where he's spent the last decade. He and Kent explore how data architecture and operations have evolved with cloud computing and AI, emphasizing the continued relevance of the Seven Pillars of True DataOps (www.truedataops.org/7-pillars).
Kevin highlights the growing importance of metadata, data quality, and governed democratization in the age of AI, while stressing that proper data management fundamentals are more crucial than ever.
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Frank Bell, a Snowflake Data Superhero and Evangelist, talks about his journey from the Air Force to becoming a top Snowflake partner, sharing lessons from his extensive experience in data operations and his take on Snowflakeâs transformative impact on the industry.
Frank and host Kent Graziano discuss:
The critical role of DataOps in managing the rapid pace of innovation, especially with the rise of AI and machine learning.The concept of data products and DataOps impact on delivering reliable, scalable solutionsThe need for automated monitoring and testing to maintain data qualityAnd more!
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In this episode of the #TrueDataOps Podcast, host Kent Graziano, the Data Warrior, interviews Armon Petrossian and Satish Jayanthi, co-founders of Coalesce.io. They discuss their backgrounds in data management and the creation of Coalesce.io, a platform focused on resolving issues in the data transformation layer with metadata-driven automation.
Armon and Satish emphasize the importance of dataops, describing it as a set of best practices from development to deployment, with a strong focus on automation to reduce errors and improve data quality. They discuss their partnership with dataops.Live and how both organizations aim to promote dataops best practices within the Snowflake ecosystem.
The conversation also covers the concept of data products, advocating for high-quality, self-service data outputs that are well-documented and reliable. They highlight the need for a unified vision and cultural alignment within organizations to implement dataops and build effective data products successfully.
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In this episode of the TrueData Ops podcast, host Kent Graziano speaks with Carsten Bange, founder and CEO of BARC (Business Application Research Center), who shares insights into BARC's role in technology selection and data strategy, emphasizing its specialization in data and analytics. Carsten discusses the evolution and importance of data products, boosted by the data mesh concept, highlighting the necessity of continuous processes over traditional project-oriented approaches in data operations.
The episode also explores DataOps, focusing on the challenges of operationalizing data projects and the crucial role of automation in managing data complexities and ensuring quality. Carsten also touches on the growing importance of ethical considerations in data management and the need for a robust data culture to support effective and responsible data usage. The episode ends with a look forward to the impacts of generative AI on the industry and the ongoing need for innovation in data practices.
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In this episode of the #TrueDataOps podcast, host Kent Graziano talks with Santona Tuli, a physicist turned data scientist. Santona discusses her transition from analyzing nuclear collisions at CERN to her role in the tech industry, emphasizing the challenges and innovations in managing large-scale data. She explores the concept of data products and the importance of a product mindset in data operations, stressing the need to understand user needs and maintain service level agreements. The episode also covers the role of AI in automating data processes and the necessity of continuous monitoring and testing to ensure operational efficiency and reliability.
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In this episode of the #TrueDataOps Podcast, host Kent Graziano, also known as The Data Warrior, is joined by Dr. Jennifer Daniell Belissent, the principal data strategist at Snowflake. This episode takes us through Jennifer's intriguing journey from econometrics to her significant role in shaping data strategy at Snowflake. Also, delves into the critical importance of a solid data foundation for successful AI initiatives, highlighting the motto "no AI strategy without a data strategy." Explore the concept of data products, their significance, and the shift in mindset required for organizations to create and utilize these assets effectively. The discussion also touches upon the crucial role of governance in fostering collaboration and innovation in the data space, enabling organizations to unlock the true value of their data securely. Furthermore, insights into the rapid evolution of AI, the democratization of AI technologies, and the importance of data diversity and responsible AI practices are shared, providing a comprehensive overview of the current state and future of data and AI.
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In this episode of the #TrueDataOps Podcast, host Kent Graziano and guest Raphael Rager delve into the intricacies of Agile methodologies in business intelligence (BI) and data management. Raphael, an author, and Agile BI coach shares his journey and insights on the challenges of formulating clear BI requirements and the necessity of adapting Agile practices specifically for BI projects. They discuss the importance of automation, the concept of data products, and the analogy of a data production line to streamline processes.
The conversation highlights the critical role of trust in data quality, advocating for automated data testing and monitoring as essential for maintaining user trust in data products. Raphael's experiences underline the continuous learning and adaptation needed in Agile BI to meet changing requirements and ensure the delivery of high-quality data solutions.
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In this episode of the #TrueDataOps Podcast, host Kent Graziano, and guests Senior Manager, frostbyte Industry Solutions, and Robert Guglietti, Solution Development Manager, Industry & Technical Innovation at Snowflake explore Snowflake's evolution in data management for global sales demos.
They delve into the groundbreaking work of the frostbyte team and their partnership with DataOps.live. The conversation highlights the obstacles faced in scaling complex data solutions for an expanding base of sales engineers and client accounts. It further details how the Snowflake Solution Center, built using DataOps.live technology, effectively meets these challenges.
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In this episode of the True DataOps podcast, host Kent Graziano sits down with DataOps expert Ronny Steelman to explore his data management journey and expertise in DataOps. Ronny shares insights from his experience, particularly with implementing the DataOps Live platform for Snowflake. Throughout the conversation, they delve into the advantages DataOps offers clients and development teams. Distinguish DataOps from DevOps. They also cover the impact of artificial intelligence and machine learning and the rise of data products.
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âIf youâre going to do this at scale, you really do need an automated process. There are too many steps, too much complexity, too much data⊠to do this in a timely way, you need automation and repeatability.â
The latest episode of the #TrueDataOps podcast, live on LinkedIn then available on demand, saw Snowflake Data Superhero and ThoughtSpot senior analytics evangelist Sonny Rivera join host Kent âThe Data Warriorâ Graziano. âDataOps is applying software development principles to the entire lifecycle of data. And that lifecycle has grown over the years.â Before, Sonny says, you had to build solutions yourself: âDataOps is about operationalising and automating that, from ingestion all the way through to consuming analytics through self-service and other collaborative tools.â Watch this episode
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âA DataOps program means you can have trust in your teams, and are free to explore ideas. And thatâs the beauty of analytics, you can come up with ideas and have those so-called âconversationsâ with your dataâŠâ
Streaming live on LinkedIn then on demand, the #TrueDataOps podcast episode 25 saw DataOps.live Santa Claus Kent Graziano welcome AI analyst and syndicated radio host Eric Kavanagh, CEO of The Bloor Group. âData products are very important: the term represents an inflection point in our industry. At the end of the day, the business doesnât care about dynamic data pipelines, ETL versus ELT, they donât necessarily care which algorithm is running in the background to surface some business value. What they care about is: business value.â
Watch this episode Episodes normally stream on Wednesdays at 8 AM PST, 4 PM GMT. Subscribe here and never miss an episode.
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âBy 2026, three-quarters of organizations will adopt data engineering processes that span data integration, transformation, and preparation - producing repeatable data pipelines that create more agile information architectures.â
Streamed live and available on demand, #TrueDataOps podcast episode 25 saw Kent âThe Data Warriorâ Graziano welcome Matt Aslett, VP and Research Director at Ventana Research, which recently released its new DataOps Buyers Guide 2023. Matt was shortlisted for Shortlisted for IIAR> Analyst of the Year 2022. âWe see DataOps as a methodology for the delivery of agile BI, data science, and to some extent operational data, focused primarily through the automation and orchestration of data integration and data processing pipelines.â Watch this episode here
Episodes normally stream on Wednesdays at 8 AM PST, 4 PM GMT. Subscribe here and never miss an episode.
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âThe âAI futureâ is already here: if youâre not using generative AI, then youâre missing opportunities to be massively more productive.â
Streamed live on LinkedIn and available on demand, episode 24 of the #TrueDataOps podcast features Juan Sequeda, Principal Scientist and Head of AI Lab at data.world, in conversation with Kent âThe Data Warriorâ Graziano. âThree main principles have stood the test of time since the beginning of data management: you move data; you store and compute data; and you use data. For me, DataOps is the flow across those three pillars, the lifeblood of your data. And in the last five years, metadata - the layer on top, that traverses all those pillars - has become a first-class citizenâŠâ Watch this episode
Episodes normally stream on Wednesdays at 8 AM PST, 4 PM GMT. Subscribe here and never miss an episode.
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âMy North Star is still âhow do we get value out of all these data investments?â
Streamed live on LinkedIn and then available on demand, the latest episode of the #TrueDataOps podcast saw Kent âThe Data Warriorâ Graziano welcome award-winning podcaster, author and analyst Cindi Howson, Chief Data Strategy Officer at ThoughtSpot and former VP Data and Analytics at Gartner. âData products are more than a buzzword - itâs a new mindset, and a way of working. itâs about viewing the [data] workflow end-to-end. Itâs a better way of workingâ â otherwise, she says, you risk creating âa data wasteland: youâve incurred costs but not yet delivered valueâ. Cindi was Women in Data's Data Leader of the Year 2021.
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Join our next epiode with the a founder member of the Data Product Leadership Committee, Karen says, âImagine me as your go-to data therapist, dedicated to addressing the data issues holding your business back.â She focuses on helping organizations to create in-demand data products that support their operating model, finding innovative ways to meet unique needs.
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âDataOps is the method for you to deliver business value â and business value is evidence of a positive impact on your companyâs performanceâ
Streamed live and then available on demand, the latest episode of the #TrueDataOps podcast on LinkedIn welcomed self-described âhardcore data nerd from the mean data streetsâ Chris Tabb in conversation with Kent âThe Data Warriorâ Graziano. âIf we start thinking of DataOps as the ability to deploy new features, manage those features, that all gradually complete that data productâ â then itâs all about what you can actually get out of that product. Chris is a podcaster, speaker, expert consultant, and co-founder and CCO of Leit Data. Watch the podcast here
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âKeeping up with the technology hasnât been this hard since Big Data and Hadoop premiered on the scene â and itâs now five times harder, and fasterâ
Live on LinkedIn and then streamed on demand, episode 20 of the #TrueDataOps podcast saw host Kent Graziano chatting with his long-time colleague and friend Shawn Rogers, internationally recognized analyst, strategist, thought leader, speaker, and author. So whatâs hot? âGenerative AI,â says Shawn - âyou canât have a conversation in this space without that term coming up. But AI in general is impacting the data world in interesting ways, automating the work that companies are doing, and helping things move fasterâŠâ
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