Những podcast Databricks hay nhất (2024)

1
The AI Bubble or Boom Dilemma! 1:12:09

5d ago1:12:09

1:12:09

Artificial Intelligence or AI has reached dizzying heights recently. The rise of the General Pre-trained Transformer, or GPT, has taken the world by storm. In this episode of the Databricks Diaries, we’re joined by Strategic Data and AI Advisor at Databricks, Franco Patano, for an eye-opening conversation on the latest in AI. Tune in to discover hi…

1
Mixed Attention & LLM Context | Data Brew | Episode 35 39:11

12d ago39:11

39:11

In this episode, Shashank Rajput, Research Scientist at Mosaic and Databricks, explores innovative approaches in large language models (LLMs), with a focus on Retrieval Augmented Generation (RAG) and its impact on improving efficiency and reducing operational costs. Highlights include: - How RAG enhances LLM accuracy by incorporating relevant exter…

1
Why I Bet My Career on Databricks! 46:51

20d ago46:51

46:51

Whether you're an entry-level data engineer, analyst, or BI developer, mastering Databricks could significantly boost your career. Tune in to the second episode of the Databricks diaries, with special guest, Holly Smith - Staff Developer Advocate at Databricks! Learn why she bet her career on Databricks and how you can get started.…

1
Databricks vs Microsoft Fabric! 1:06:09

1M ago1:06:09

1:06:09

Hosted by Daniel Thornton, this episode features industry professionals Michael Amadi and Giles Middleton as they delve into the world of data platforms. Join us as we compare Databricks and Microsoft Fabric, sharing their insights and preferences. Discover which platform is the best fit for different data needs and learn about the key factors to c…

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Kumo AI & Relational Deep Learning | Data Brew | Episode 34 43:27

2M ago43:27

43:27

In this episode, Jure Leskovec, Co-founder of Kumo AI and Professor of Computer Science at Stanford University, discusses Relational Deep Learning (RDL) and its role in automating feature engineering. Highlights include: - How RDL enhances predictive modeling. - Applications in fraud detection and recommendation systems. - The use of graph neural n…

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The Databricks Diaries: Trailer 0:51

4M ago0:51

0:51

Welcome to The Databricks Diaries. Have you ever wondered how top companies are harnessing the power of data to drive innovation and stay ahead of the competition? In this podcast, we’ll be speaking to some of the best industry minds and unlocking the secrets to leveraging data like never before. In each episode of the Databricks diaries, we’re ope…

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LLMs: Internals, Hallucinations, and Applications | Data Brew | Episode 33 38:50

1+ y ago38:50

38:50

Our fifth season dives into large language models (LLMs), from understanding the internals to the risks of using them and everything in between. While we're at it, we'll be enjoying our morning brew. In this session, we interviewed Chengyin Eng (Senior Data Scientist, Databricks), Sam Raymond (Senior Data Scientist, Databricks), and Joseph Bradley …

1
Demonstrate–Search–Predict Framework | Data Brew | Episode 32 33:14

1+ y ago33:14

33:14

We will dive into LLMs for our fifth season, from understanding the internals to the risks of using them and everything in between. While we’re at it, we’ll be enjoying our morning brew. In this session, we interviewed Omar Khattab - Computer Science Ph.D. Student at Stanford, creator of DSP (Demonstrate–Search–Predict Framework), to discuss DSP, c…

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Generative AI Risks | Data Brew | Episode 31 34:38

1+ y ago34:38

34:38

We will dive into LLMs for our fifth season, from understanding the internals to the risks of using them and everything in between. While we’re at it, we’ll be enjoying our morning brew. In this session, we interviewed Yaron Singer, CEO of Robust Intelligence, Professor of Computer Science at Harvard University, and guest of Data Brew Season 3 (our…

1
John Snow Labs & SparkNLP | Data Brew | Episode 30 43:17

1+ y ago43:17

43:17

We are back and we will dive into LLMs from understanding the internals to the risks of using them and everything in between. While we’re at it, we’ll be enjoying our morning brew. In this session, we interviewed David Talby who is the CTO at John Snow Labs; they help healthcare & life science companies put AI to good use. David's interests include…

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Data Brew Season 4 Episode 6: Professional Athletes 35:49

2+ y ago35:49

35:49

For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew. Shayna Powless and Eli Ankou, professional cyclist for L39ion of Los Angeles and defensive tackle for the Buffalo Bills, respectively, provide valuable insight on how professional athlete…

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Data Brew Season 4 Episode 5: Public Health: Education, Access, and Policy 34:39

2+ y ago34:39

34:39

For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew. Matt Willis, Marin County Public Health Officer, shares the three pillars of public health: education, access, and policy, and the critical role data plays in addressing the COVID-19 pand…

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Data Brew Season 4 Episode 4: 1283 Days of Running (and Counting) 35:54

2+ y ago35:54

35:54

For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew. Running the length of the US every year, Alexandra Matthiesen shares her motivational secrets for running 1,283 consecutive days (and counting!) and redefining physical and mental limits.…

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Data Brew Season 4 Episode 3: Last Man Standing 41:20

2+ y ago41:20

41:20

For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew. Winner of the infamous Last Man Standing race (running 246 miles in 59 hours), Guillaume merges the world of competitive long-distance running with data science to push the boundaries of …

1
Data Brew Season 4 Episode 2: NBA Analytics 30:16

2+ y ago30:16

30:16

For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew. Alexander Powell chronicles the evolution of sports analytics and how professional sports teams use data as a competitive advantage. See more at databricks.com/data-brew…

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Data Brew Season 4 Episode 1: Reducing Injury & Increasing Retention of Industrial Athletes 33:58

3y ago33:58

33:58

For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew. Globally, 38,000 people get hurt on the job every hour. In the United States alone, over $250 billion dollars is spent on workplace injury annually. Sean Petterson, founder and CEO of Str…

1
Data Brew Season 3 Episode 6: Open Source 33:49

3y ago33:49

33:49

For our third season, we focus on how leaders use data for change. Whether it’s building data teams or using data as a constructive catalyst, we interview subject matter experts from industry to dive deeper into these topics. For our season 3 finale, Nithya Ruff discusses the open-source ecosystem, ways to contribute to open-source projects (hint: …

1
Data Brew Season 3 Episode 5: Sustainability & Sake 32:26

3y ago32:26

32:26

For our third season, we focus on how leaders use data for change. Whether it’s building data teams or using data as a constructive catalyst, we interview subject matter experts from industry to dive deeper into these topics. We interview Junta Nakai in our most unique location yet - Brooklyn Kura - the first non-Japanese sake distillery in New Yor…

1
Data Brew Season 3 Episode 4: Executive Education 38:46

3y ago38:46

38:46

For our third season, we focus on how leaders use data for change. Whether it’s building data teams or using data as a constructive catalyst, we interview subject matter experts from industry to dive deeper into these topics. Did you know that the average tenure of a board member is longer than the average tenure of a marriage in the United States?…

1
Data Brew Season 3 Episode 3: 3 T’s to Securing AI Systems: Tests, tests, and more tests 35:01

3y ago35:01

35:01

For our third season, we focus on how leaders use data for change. Whether it’s building data teams or using data as a constructive catalyst, we interview subject matter experts from industry to dive deeper into these topics. What does it mean to make your machine learning system “production-ready”? Yaron Singer walks us through the infrastructure,…

1
Data Brew Season 3 Episode 2: Data Culture Outside ‘The Valley’ 35:39

3y ago35:39

35:39

For our third season, we focus on how leaders use data for change. Whether it’s building data teams or using data as a constructive catalyst, we interview subject matter experts from industry to dive deeper into these topics. Have you ever had a spam call automatically blocked for you? You can thank First Orion for that - in one day they blocked or…

1
Data Brew Season 3 Episode 1: Disrupt: Challenge your Business Assumptions 29:45

3y ago29:45

29:45

For our third season, we focus on how leaders use data for change. Whether it’s building data teams or using data as a constructive catalyst, we interview subject matter experts from industry to dive deeper into these topics. In this season opener, Elena Donio shares her experience using data and domain knowledge to disrupt the traditional service …

1
Data Brew Season 2 Episode 9: Data Driven Software 31:12

3+ y ago31:12

31:12

For our second season of Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more. We branch, version, and test our code, but what if we treated data lik…

1
Data Brew Season 2 Episode 8: Feature Engineering 31:17

3+ y ago31:17

31:17

For our second season of Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more. Is there ever a “one-size fits all” approach for feature engineering? …

1
Data Brew Season 2 Episode 7: Interpretable Machine Learning 37:07

3+ y ago37:07

37:07

For our second season of Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more. What does it mean for a model to be “interpretable”? Ameet Talwalkar s…

1
Data Brew Season 2 Episode 6: AutoML 35:55

3+ y ago35:55

35:55

For our second season of Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more. Erin LeDell shares valuable insight on AutoML, what problems are best …

1
Data Brew Season 2 Episode 5: ML Applications 32:40

3+ y ago32:40

32:40

For our second season of Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more. Good machine learning starts with high quality data. Irina Malkova sha…

1
Data Brew Season 2 Episode 4: Hyperparameter and Neural Architecture Search 33:25

3+ y ago33:25

33:25

For our second season of Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more. Liam Li is a leading researcher in the fields of hyperparameter optimi…

1
Data Brew Season 2 Episode 3: Infrastructure for ML 30:34

3+ y ago30:34

30:34

For our second season of Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more. Adam Oliner discusses how to design your infrastructure to support ML,…

1
Data Brew Season 2 Episode 2: Data Ethics 25:47

3+ y ago25:47

25:47

For our second season of Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more. Have you ever wondered how your purchasing behavior may reveal protect…

1
Data Brew Season 2 Episode 1: ML in Production 30:49

3+ y ago30:49

30:49

For our second season, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more. In the season opener, Matei Zaharia discusses how he entered the field of ML, best …

1
Data Brew Season 1 Episode 6: Journey of Big Data 40:16

4y ago40:16

40:16

Jules Damji and Tathagata Das guide us through their journey in big data and the evolution of data architecture in the past 30 years. They discuss some of the biggest changes in industry they’ve seen, as well as trends to look forward to in the coming years. This is a fun episode connecting all four authors of the Learning Spark, 2nd Edition book. …

1
Data Brew Season 1 Episode 5: Combining Machine Learning and MLflow with your Lakehouse 36:00

4y ago36:00

36:00

Ellissa Verseput, ML Engineer at Quby, joins Denny and Brooke to discuss how Quby leverages ML to extract additional value from their data lake and how they manage this process. See more at databricks.com/data-brewBởi Databricks

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Data Brew Season 1 Episode 4: BI on Data Lakes - Making it Real for Retail 29:05

4y ago29:05

29:05

In this session, we discuss the lessons learned with Lara Minor, Senior Enterprise Data Manager at Columbia Sportswear, on how her team achieved a 70% reduction in pipeline creation time. This had reduced ETL workload times from four hours with previous data warehouses to minutes enabling near real-time analytics. Her team migrated from multiple le…

1
Data Brew Season 1 Episode 3: Demystifying Delta Lake 25:51

4y ago25:51

25:51

Delta Lake is an open source storage layer that brings reliability to data lakes. Delta Lake offers ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. It runs on top of your existing data lake and is fully compatible with Apache Spark APIs. For our “Demystifying Delta Lake” session, we will interview Mic…

1
Data Brew Season 1 Episode 2: Welcome to Lakehouse 26:10

4y ago26:10

26:10

Legacy approaches have failed to deliver on the promise of a single data architecture that can support every downstream use case from BI to AI. Lakehouse aspires to address this by combining the best of data warehouses and data lakes. Ali Ghodsi, Co-Founder and CEO of Databricks, and David Meyer, SVP of Product at Databricks, explain how. See more …

1
Data Brew Season 1 Episode 1: From data warehousing to data lakes in 40 minutes 44:48

4y ago44:48

44:48

In our inaugural episode, we’d like to welcome data warehouse luminaries Barry Devlin, Susan O’Connell, and Donald Farmer to discuss the evolution of data warehouses, data lakes, and lakehouses. See more at databricks.com/data-brewBởi Databricks

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