Все публикации

0:25:05

Your company's success isn't Measured in megabytes, it's measured in impact

0:18:29

Why failed MVPs are your second most important KPI

0:24:53

Cybersecurity data and ML engineering

0:26:03

Beyond the Basics The last 10 things data teams think about

0:30:36

Data engineering specializations panel

0:31:39

Use case prioritization for data leadership

0:33:00

Data generalists on small teams

0:32:21

Apache Superset for Data Engineers

0:38:31

Data-driven Culture

0:31:25

Optimizing Data Costs with Amazon EMR

0:32:32

DataOps - Building Checkpoints

0:29:41

Scaling and governing Robinhood's data lakehouse

0:30:29

ML Batch vs streaming vs real-time data processing

1:06:21

The growing role of open source technology in today's data architectures

0:21:58

Maximizing efficiency by templating Glue jobs and serverless architecture in Hudi data lakes

0:26:19

Panel: A discussion on batch, streaming, and real-time data processing for ML

0:27:17

Paradigm shift Why open source should now be the bedrock of every data strategy

0:29:42

Practicalities of deploying open source databases

0:25:24

Open data foundations with OneTable Hudi, Delta, and Iceberg interoperability

0:23:37

Overhauling data management at Apna

0:19:54

Options for real time data pipelines

0:29:53

Our emergency move from Postgres to OLAP

0:28:43

Modern strategies for data cost optimization

0:28:41

Building blocks of modern data architecture