Insights, tutorials, and news from the BluePi team.
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
Cloud scalability, enables businesses to meet expected demand of business services without the need for large, up-front investments in infrastructure.
Pronam Chatterjee
Demand forecasting helps the business estimate the total sales and revenue for a future period of time.
Pronam Chatterjee