Seven Ways to Change Data Culture

whitePaper | February 8, 2023

For centuries, patients have sought medical help for their ailments. Just as in the past, however, there are still many illnesses – both wellknown, widespread diseases and rare conditions – that initially cause few or inconclusive symptoms, and many patients leave the doctor’s office with an incorrect diagnosis. In addition, diseases may progress slowly or quickly depending on the individual.

whitePaper | June 27, 2023

Data mesh is an innovative approach to data management that offers a solution to the most common challenges organizations face when dealing with large-scale data management. Data mesh concept consists of four key principles for large-scale data management in a multi-tiered, multi-domain organizational structure: domainoriented ownership, data as product, federated computational governance and a self-service data platform. These all promote a more agile, efficient and scalable data architecture. However, one of the central challenges to implementing data mesh is designing decentralized governance mechanisms that align with its core principles.

whitePaper | November 15, 2019

Fault-tolerance is the ability for a system to remain in operation even if some of the components used to build the system fail. Even with very conservative assumptions, a busy e-commerce site may lose thousands of dollars for every minute it is unavailable. This is just one reason why businesses and organizations strive to develop software systems that can survive faults. Amazon Web Services (AWS) provides a platform that is ideally suited for building fault-tolerant software systems. The AWS platform enables you to build fault-tolerant systems that operate with a minimal amount of human interaction and up-front financial investment.

whitePaper | December 22, 2022

The key objective of setting up data mesh or data fabric architecture is to enable the availability of quality data in a timely fashion to the right people in the right format. A data fabric is an architecture framework and a set of data services that provide frictionless data capabilities across a choice of endpoint applications or services spanning hybrid or multi-cloud and on-premises, by using rich metadata foundation and artificial intelligence/machine learning (AI/ML) automation.

whitePaper | October 10, 2022

Companies undergoing digital transformation must make data available to all stakeholders. However, outdated security and governance tools can prevent companies from freeing their data without opening themselves up to new risks.

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.