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Data Engineering Weekly

Ananth Packkildurai
Data Engineering
Lakehouse Architecture
Semantic Layer
Iceberg
Delta Lake
Apache Hudi
Fluss
Apache Iceberg
Bauplan
Artificial Intelligence
Agent AI
Future Workforce
Data Platforms
Machine Learning
Kafka
Apache Arrow
Data Lakehouse
Hadoop
Generative AI
Flink

The Weekly Data Engineering Newsletter www.dataengineeringweekly.com

PublishesMonthlyEpisodes21Founded4 years ago
Number of ListenersCategories
Tech NewsTechnologyNews

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Latest Episodes

Semantic layers have been with us for decades—sometimes buried inside BI tools, living in analysts’ heads. But as data complexity grows and AI pushes its way into the stack, the conversation is shifting. In a recent conversation with David Jayatillak... more

Data Engineering Weekly recently hosted Jacopo Tagliabue, CTO of Bauplan, for an insightful podcast exploring innovative solutions in data engineering. Jacopo shared valuable perspectives drawn from his entrepreneurial journey, his experience buildin... more

In our latest episode of Data Engineering Weekly, co-hosted by Aswin, we explored the practical realities of AI deployment and data readiness with our distinguished guest, Avinash Narasimha, AI Solutions Leader at Koch Industries. This discussion she... more

The modern data stack constantly evolves, with new technologies promising to solve age-old problems like scalability, cost, and data silos. Apache Iceberg, an open table format, has recently generated significant buzz. But is it truly revolutionary, ... more

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Recent Guests

Roy Hassan
Product leader at Qlik, previously held various roles in AWS focused on cloud data services and analytics.
Qlik
Episode: The State of Lakehouse Architecture: A Conversation with Roy Hassan on Maturity, Challenges, and Future Trends
Jark Wu
Leader of Fluss and Flink SQL team at Alibaba Cloud
Alibaba Cloud
Episode: Beyond Kafka: Conversation with Jark Wu on Fluss - Streaming Storage for Real-Time Analytics

Host

Anil
Host of Data Engineering Weekly, discussing trends and insights in data engineering.

Reviews

3.3 out of 5 stars from 4 ratings
  • Rough editing

    I found it really hard to listen to the way it was edited together. Sentences sounded really choppy.

    Apple Podcasts
    1
    gray42424
    United States6 months ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Some listeners have mentioned challenges with editing quality, indicating that the audio production might benefit from improvements.
Listeners appreciate the technical focus and insights from industry experts, viewing it as a valuable resource for professional development.

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#123
Ukraine/Technology
Apple Podcasts
#156
Ireland/Technology

Talking Points

Recent interactions between the hosts and their guests.

AI and Data in Production: Insights from Avinash Narasimha [AI Solutions Leader at Koch Industries]
Q: What advice are you giving to new engineers or companies looking to make AI data practices?
Focus on clearly defining the problems businesses care about and understanding the ROI of generative AI.
AI and Data in Production: Insights from Avinash Narasimha [AI Solutions Leader at Koch Industries]
Q: Is AI governance important in the lifecycle of unstructured data?
Yes, governance should not just be limited to AI but start with the origination of data, through to its consumption.
AI and Data in Production: Insights from Avinash Narasimha [AI Solutions Leader at Koch Industries]
Q: How do you see or what do you think that has happened different that a foundation model comes in that really help us to build this knowledge agent here?
Everything is getting cheaper, better, faster, and integration to all data sources is getting easier.
AI and Data in Production: Insights from Avinash Narasimha [AI Solutions Leader at Koch Industries]
Q: Is there any standard framework that you use to assess the use cases?
We follow a couple of concepts called spontaneous or anthropomorphic science, with a very open culture of our day-to-day work.
AI and Data in Production: Insights from Avinash Narasimha [AI Solutions Leader at Koch Industries]
Q: Are you starting to deploy your models, GenAI models or GenAI agents into production yet?
Yes, absolutely. We've got quite a few things in production already.

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Frequently Asked Questions About Data Engineering Weekly

What is Data Engineering Weekly about and what kind of topics does it cover?

This podcast focuses on the intricate and evolving field of data engineering, exploring various technologies, trends, and best practices related to data management and analytics. Episodes often feature industry experts discussing contemporary challenges and innovations in areas such as artificial intelligence, data governance, real-time analytics, and data lakehouse architectures. The conversations highlight not only technical insights but also practical applications and strategic approaches businesses can take to optimize their data workflows. A standout aspect of the podcast is its emphasis on emerging technologies like Apache Iceberg and Flink, positioning itself as a key resource for professionals seeking to enhance their understanding ... more

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Which podcasts are similar to Data Engineering Weekly?

These podcasts share a similar audience with Data Engineering Weekly:

1. Data Engineering Podcast
2. The Data Engineering Show
3. DataFramed
4. Super Data Science: ML & AI Podcast with Jon Krohn
5. Practical AI

How many episodes of Data Engineering Weekly are there?

Data Engineering Weekly launched 4 years ago and published 21 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Data Engineering Weekly?

Recent guests on Data Engineering Weekly include:

1. Roy Hassan
2. Jark Wu

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