Insights, tutorials, and news from the BluePi team.
Most modern data stacks are expensive, cloud-hosted legacy systems. BluePi sees Airflow DAGs become spaghetti, BigQuery treated as infinite, and teams drowning in YAML instead of delivering insights.
Pronam Chatterjee
Discover how BluePi is using GPU support for Cloud Run, to build faster, cheaper, and more flexible LLMOps and generative-AI solutions.
Pronam Chatterjee
This is the Data Infrastructure Paradox. As practitioners in the trenches, we feel the growing complexity, the rising costs, and the persistent gap between the data we have and the value we need
Gaurav Batra
"Migration Tax" goes beyond the initial estimate, appearing as cost overruns from tedious manual work, cascading errors, system downtime, and the high price of developer burnout.
Gaurav Batra
A Recommender system can be distinguished from an information retrieval system by the semantics of its user interaction.
Pronam Chatterjee
Effective data quality management is crucial for organizations to reduce the costs associated with identifying and fixing bad data.
Pronam Chatterjee
Master data management (MDM) is a process that enables organizations to define and manage the common data entities used across the enterprise.
Pronam Chatterjee
Data privacy means safeguarding personal information from misuse. It’s essential to prevent identity theft and build trust online.
Pronam Chatterjee
A data governance framework is a system to manage data quality, security, and compliance. This guide delves into its importance, key components, and how to implement it.
Pronam Chatterjee
Data engineering involves designing systems to collect, store, and analyze data efficiently.
Pronam Chatterjee