ODSC - Open Data Science

MAY 16, 2023

Data Mesh More data management systems in 2023 will also shift toward a data mesh architecture. This decentralized architecture breaks data lakes into smaller domains specific to a given team or department. Automation and artificial intelligence (AI) will see particular growth in the realm of observability.

Database 98

Database Data Science Data Lakes Data Observability 98

Precisely

JUNE 6, 2023

The group kicked off the session by exchanging ideas about what it means to have a modern data architecture. Atif Salam noted that as recently as a year ago, the primary focus in many organizations was on ingesting data and building data lakes.

Data Observability 52

Data Observability Data Lakes Data Quality ETL 52

ODSC - Open Data Science

JULY 20, 2023

Automating Remediation Processes for Data Security Posture Management Before we look into how we can automate it, it is important to understand how data security posture management helps you achieve your goals.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Precisely

SEPTEMBER 9, 2024

Key Takeaways: • Implement effective data quality management (DQM) to support the data accuracy, trustworthiness, and reliability you need for stronger analytics and decision-making. Embrace automation to streamline data quality processes like profiling and standardization. It reveals several critical insights: 1.

Data Quality 64

Data Quality Data Profiling Data Lakes Analytics 64

Precisely

JULY 18, 2024

While data fabric is not a standalone solution, critical capabilities that you can address today to prepare for a data fabric include automated data integration, metadata management, centralized data governance, and self-service access by consumers. Increase metadata maturity.

Data Lakes 52

Data Lakes Data Warehouse Data Governance Machine Learning 52

IBM Journey to AI blog

JULY 3, 2024

Creating a trusted data foundation is enabling high quality, reliable, secure and governed data and metadata management so that it can be delivered for analytics and AI applications while meeting data privacy and regulatory compliance needs. The following four components help build an open and trusted data foundation.

AI 45

AI AI Data Quality Database 45

IBM Journey to AI blog

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. She also wants to predict future sales of both shoes and jewelry.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52