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GPUs are blazingly fast, but many teams struggle to keep them running at peak performance. A recent poll on AI infrastructure shows that maximizing GPU
- Tal Sofer
The General Data Protection Regulation (GDPR) imposes strict requirements on how organizations collect, store, and manage personal data. Businesses must ensure data security, auditability, and
- Iddo Avneri
As a user of lakeFS, you probably started by using its web interface. But as an object store, lakeFS is also a server that uses
- Ariel Shaqed (Scolnicov)
The growing volume and complexity of organizational data and its critical role in decision-making inspire organizations to invest in people, processes, and technology to unlock
- Idan Novogroder
If you put garbage in, you’re likely to get garbage out. This phrase rings particularly true in the era of Generative AI, where models keep
- Idan Novogroder
Data lineage tools make it easier for teams to track the transfer of data across several systems, databases, and applications. Ultimately, this translates into better
- Iddo Avneri
AI projects require not only advanced algorithms but also robust infrastructure to manage datasets, ensure reproducibility, and streamline deployments. By combining lakeFS, the Git-like version
- Iddo Avneri
Key Takeaways DataOps is an approach that aims to enhance collaboration among teams involved in data operations, including data engineers, data scientists, and stakeholders. The
- Idan Novogroder
What kind of tooling can you use to make data mesh work? Should you go after open-source or commercial solutions? There’s no single answer to
- Idan Novogroder
Source code versioning has been a standard practice in software engineering for a long time. Data engineers can also benefit from this approach. But versioning
- Tal Sofer
Data engineers are easily the unsung heroes of modern business operations. Just think of all the people who create and maintain the data pipelines and
- Idan Novogroder
