Modern datalakes provide a central hub for all your data needs. However, building and managing an effective data lake can be complex.

Discover why data lakes are superior to traditional data warehouses for embedded analytics in SaaS applications.

Researchers introduce Deep Lake, an open-source lakehouse for deep learning, optimizing complex data storage and streaming for deep learning frameworks.

Researchers introduce Deep Lake, an open-source lakehouse for deep learning, optimizing complex data storage and streaming for deep learning frameworks.

Researchers introduce Deep Lake, an open-source lakehouse for deep learning, optimizing complex data storage and streaming for deep learning frameworks.

Researchers introduce Deep Lake, an open-source lakehouse for deep learning, optimizing complex data storage and streaming for deep learning frameworks.

Researchers introduce Deep Lake, an open-source lakehouse for deep learning, optimizing complex data storage and streaming for deep learning frameworks.

Researchers introduce Deep Lake, an open-source lakehouse for deep learning, optimizing complex data storage and streaming for deep learning frameworks.

Researchers introduce Deep Lake, an open-source lakehouse for deep learning, optimizing complex data storage and streaming for deep learning frameworks.

Researchers introduce Deep Lake, an open-source lakehouse for deep learning, optimizing complex data storage and streaming for deep learning frameworks.

Researchers introduce Deep Lake, an open-source lakehouse for deep learning, optimizing complex data storage and streaming for deep learning frameworks.

In mid-2024, creating an AI demo that impresses and excites can be easy. Getting to production, though, is another matter.

In this article, we will share the practice of integrating DolphinScheduler with AWS’s EMR and Redshift.

Want to build an enterprise data warehouse but don’t know where to start? Check my 5-step checklist to guide you through the process.

MLOps is a set of practices and tools aimed at addressing the specific needs of engineers building models and moving them into production.

This paper talks to the rise and fall of Hadoop HDFS and why high-performance object storage is a natural successor in the big data world.

Integrating Apache Superset with Presto provides a powerful and flexible platform for data exploration and visualization

Pattern matching allows for more intuitive and readable conditional logic by enabling the matching of complex data structures with minimal code.

While data tools today are more powerful than ever, most organizations still find data platforms complex and costly to maintain.

Dremio Auto-Ingest is a game-changing feature that simplifies the process of loading data into Apache Iceberg tables.