logo
episode-header-image
Nov 2022
59m 25s

Analyze Massive Data At Interactive Spee...

Tobias Macey
About this episode
tail spinning
Up next
Yesterday
From Models to Momentum: Uniting Architects and Engineers with ER/Studio
Summary In this episode of the Data Engineering Podcast, Jamie Knowles (Product Director) and Ryan Hirsch (Product Marketing Manager) discuss the importance of enterprise data modeling with ER/Studio. They highlight how clear, shared semantic models are a foundational discipline ... Show More
45m 2s
Feb 22
From Data Models to Mind Models: Designing AI Memory at Scale
Summary In this episode of the Data Engineering Podcast, Vasilije "Vas" Markovich, founder of Cognee, discusses building agentic memory, a crucial aspect of artificial intelligence that enables systems to learn, adapt, and retain knowledge over time. He explains the concept of ag ... Show More
57m 47s
Feb 15
Prompt Management, Tracing, and Evals: The New Table Stakes for GenAI Ops
Summary In this episode of the Data Engineering Podcast, Aman Agarwal, creator of OpenLit, discusses the operational groundwork required to run LLM-powered applications reliably and cost-effectively. He highlights common blind spots that teams face, including opaque model behavio ... Show More
50m 43s
Recommended Episodes
Feb 2023
Shorten the distance between production data and insight
<p>Modern networked applications generate a lot of data, and every business wants to make the most of that data. Most of the time, that means moving production data through some transformation process to get it ready for the analytics process. But what if you could have in-app an ... Show More
20m 27s
Nov 2021
Time Plus Data Equals Efficiency with Paul Dix, the Founder and CTO of InfluxData and the Creator of InfluxDB
<p>If the topic of databases is brought up to certain people, their eyes may gloss over. But if that happened, that would be because they just don’t know the awesome power of databases. Data can be valuable but only if it is contextualized, and time is an extremely relevant aspec ... Show More
36m 4s
Jul 2020
What data transformation library should I use? Pandas vs Dask vs Ray vs Modin vs Rapids (Ep. 112)
<p>In this episode I speak about data transformation frameworks available for the data scientist who writes Python code. The usual suspect is clearly Pandas, as the most widely used library and de-facto standard. However when data volumes increase and distributed algorithms are ... Show More
21m 10s
May 2020
How Important are algorithm and data structures in backend engineering?
<p>Algorithms &amp; Data Structures are critical to Backend Engineering however it really depends on what kind of application and infrastructure you are building. In this video I want to go through the following &nbsp;&nbsp;1 Backend Engineers are two types - Integrating Existing ... Show More
13m 29s
Oct 2021
On Graph Databases | The Backend Engineering Show
<p>I get a lot of emails asking me to talk about graph databases, so I want to start researching them, but I wanted to give you guys the framework of how I think about any databases to defuse any “magic” that might be there.</p> <p>In this video, I discuss what constrains a datab ... Show More
22m 27s
Oct 2023
#628: Data on EKS
Organizations use their data to make better decisions and build innovative experiences for their customers. With the exponential growth in data, and the rapid pace of innovation in machine learning (ML), there is a growing need to build modern data applications that are agile and ... Show More
20m 56s
Jun 2022
Using AI to Supercharge Data-Driven Applications with Zilliz
Theo is in the interviewer’s chair for this episode as Frank Liu from Zilliz joins the show to talk about how AI and machine learning are making it possible for developers to understand and extract more value from unstructured data such as text, audio, images, video, and more. Tr ... Show More
20 m
Feb 2023
Better Science Volume 2: Maps, Metadata, and the Pyramid
Jump in on a second episode of the Better Science series with guest host and Technical Evangelist Justin Emerson interviewing FlashArray engineer Feng Wang about how Pure maps data at scale with a single, scalable data structure. Managing storage in modern times requires a strate ... Show More
46m 3s
Aug 2023
2476: ThoughtSpot - How AI Analytics is Redefining Business Intelligence
<p>In the rapidly evolving world of data analytics, staying ahead of the curve is essential. Today on Tech Talks Daily, I'm thrilled to have Sumeet Arora from ThoughtSpot to walk us through their game-changing announcements. ThoughtSpot is already renowned for its advanced analyt ... Show More
33m 55s