Alberto Artasanchez
Alberto Artasanchez is the author of Data Products and the Data Mesh
Introduction
In today’s digital age, where we are inundated with an overwhelming volume of information, it’s more important than ever to quickly find precise and contextually relevant content. …
Alberto Artasanchez is the author of Data Products and the Data Mesh
In today’s data-driven society, data is not only a source of power, but also a crucial asset that can drive business success, inform decision-making, and unlock new …
Alberto Artasanchez is the author of Data Products and the Data Mesh
Introduction
In today’s data-driven world, organizations face the pressing challenge of ensuring transparency and trust in their data products. As decision-makers rely increasingly on data-driven insights to guide …
In today’s data-driven world, organizations rely on efficient data pipelines to process, transform, and deliver data for various business needs. However, managing and orchestrating these pipelines can be a complex challenge, requiring robust governance, metadata management, and collaboration capabilities. …
As organizations increasingly leverage data to drive decision-making processes and operations, the need for a scalable and decentralized data management architecture becomes more evident. This blog post aims to shed light on two significant concepts in modern data management: Data …
As we navigate through the vast and complex landscape of data in the modern world, we often encounter a major challenge: different systems and datasets use different vocabularies to describe similar or identical concepts. This disparity can create significant obstacles …
Introduction
The popularity of modern data formats like JSON-LD, Turtle, N-Triples is on the rise due to the increasing need for effective data interoperability, integration, and the desire to derive meaningful insights from large and diverse data sets. Standard vocabularies, …
Introduction
In the era of interconnected systems and vast amounts of data, the ability to query, manipulate, and integrate information effectively is crucial. Three concepts that play a significant role in modern data-driven applications are federated queries, SPARQL endpoints, and …
Apache Spark is an open-source, distributed computing system designed for big data processing and analytics. It was developed in response to the limitations of the Hadoop MapReduce computing model, which can be slow and inefficient for some types of data …
Data privacy, also known as information privacy or data protection, refers to the practice of safeguarding sensitive information from unauthorized access, use, disclosure, alteration, or destruction. It involves the application of policies, procedures, and technologies to ensure that personal or …