Dataversity

AUGUST 15, 2022

So, what can you do to ensure your data is up to par and […]. The post Data Trustability: The Bridge Between Data Quality and Data Observability appeared first on DATAVERSITY. You might not even make it out of the starting gate.

Data Observability 52

Data Observability Data Quality Data Lakes Data Warehouse 52

ODSC - Open Data Science

FEBRUARY 14, 2023

It also addresses the strategies and best practices for implementing a data mesh. Applying Engineering Best Practices in Data Lakes Architectures Einat Orr | Ceo and Co-Founder | Treeverse This talk examines why agile methodology, continuous integration, and continuous deployment and production monitoring are essential for data lakes.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

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

JULY 18, 2024

Without access to all critical and relevant data, the data that emerges from a data fabric will have gaps that delay business insights required to innovate, mitigate risk, or improve operational efficiencies. You must be able to continuously catalog, profile, and identify the most frequently used data.

Data Lakes 52

Data Lakes Data Warehouse Data Governance Machine Learning 52

Precisely

SEPTEMBER 9, 2024

It’s important to note that end-to-end data observability of your complex data pipelines is a necessity if you’re planning to fully automate the monitoring, diagnosis, and remediation of data quality issues. Standardized processes for remediation of enterprise-wide data quality issues are beginning to gain traction.”

Data Quality 64

Data Quality Data Profiling Data Lakes Analytics 64