Data normalization is supposed to be the way you optimize databases to ensure their integrity. But maybe with many databases, normalization becomes redundant.
In a monolithic application, where all components are interwoven into a single software unit, GraphQL offers a unique approach to manage and manipulate data.
Efficient data processing is paramount. In this guide, we'll explore how to leverage Apache Airflow and BigQuery to create robust and scalable data pipelines.
SOC 2 audits are critical for cloud data security, ensuring companies meet standards for managing customer data with a focus on security, availability, and privacy.
The article emphasizes the importance of building a comprehensive data ecosystem for enterprises, covering key principles, critical components, and value drivers for success.
With this article, I would like to help you broaden your understanding of NLP and show how spaCy can be your powerful ally in effective keyword extraction.
An insurance company uses Apache Doris in replacement of Spark+Impala+HBase+NebulaGraph, in their Customer Data Platform for 4 times faster customer grouping.
As a data architect or data engineer, you know how vital it is to fully understand the power of your data. This task holds even more gravity in the banking sector.
Data quality is key for fair AI. Biased or incomplete datasets lead to AI models that make unfair or inaccurate decisions, harming individuals and eroding trust.
Qumulo's CTO explains how the company's Scale Anywhere Data Platform unifies unstructured data across edge, core, and cloud for easy management and access.
Exploring cloud data management, and its layered structure from secure storage to processing and application, presentation, all underpinned by robust security measures.