phData

OCTOBER 16, 2023

Throughout our work, phData has boasted a 98 percent average renewal rate for phData Elastic Operations, DataOps, and MLOps. dbt has modularity and SQL-focused transformation that makes the logic easy to translate, the tests ensure the data is accurate, and documentation and modularity smooth the maintenance.

DataOps 52

DataOps Data Modeling Data Models SQL 52

ODSC - Open Data Science

JULY 20, 2023

Learn how to eliminate data downtime and ensure data trust at scale with end-to-end data observability, a critical component of the modern DataOps workflow. And not just that, you’ll find out how blazing fast it is to connect Apache Spark, Databricks, and TimeXtender.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Alation

OCTOBER 12, 2021

DataOps. … There was a lack of documentation and a very heavy reliance on IT and business SMEs. Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Business strategy. Data engineering. Analytics forecasting. Linear programming. The field has modernized rapidly in recent years.

Analytics 52

Analytics Analytics Data Governance DataOps 52

Alation

DECEMBER 22, 2022

The elf stewards, already immersed in the catalog, were now supercharging their work to document, tag, and curate the flood of new data products. Next year, he’s looking to harness the power of DataOps and build even more customized solutions atop the data catalog. But as we all know, Santa doesn’t sleep on innovation.

DataOps 52

DataOps Tableau Data Governance Big Data 52

Alation

APRIL 18, 2023

Data profiling helps organizations holistically comprehend their data landscapes, as it documents data assets and dependencies, including data lineage , metadata, and data relationships. Data profiling helps organizations understand the data they possess with an eye to its quality level, which is vital for effective data governance.

Data Profiling 52

Data Profiling Data Quality Data Governance Data Pipeline 52

DataRobot Blog

JUNE 27, 2022

As stated in SR 11-7: Ongoing monitoring should include the analysis of overrides with appropriate documentation. Driving Innovation with AI: Getting Ahead with DataOps and MLOps. In the use of virtually any model, there will be cases where model output is ignored, altered, or reversed based on the expert judgment from model users.

ML 59

ML ML Machine Learning Machine Learning 59

Precisely

DECEMBER 12, 2023

Data observability is a foundational element of data operations (DataOps). Many customers have a data catalog solution today that documents the schema, and this should be leveraged as part of a data observability solution. In either case, the change can affect analytics.

Data Observability 52

Data Observability Data Quality Data Pipeline Machine Learning 52

phData

MAY 11, 2023

With the “Data Productivity Cloud” launch, Matillion has achieved a balance of simplifying source control, collaboration, and dataops by elevating Git integration to a “first-class citizen” within the framework. In Matillion ETL, the Git integration enables an organization to connect to any Git offering (e.g.,

ETL 52

ETL Analytics Analytics Data Modeling 52

Snorkel AI

OCTOBER 31, 2023

Labeling documents one-by-one could take a prohibitive amount of time. In the time they would spend labeling a single record, experts can apply their knowledge and understanding to dozens, hundreds, or even thousands of documents. Experts will have to apply their knowledge to classify materials as potentially dangerous or not.

AI 111

AI AI DataOps Data Governance 111

Snorkel AI

OCTOBER 31, 2023

Labeling documents one-by-one could take a prohibitive amount of time. In the time they would spend labeling a single record, experts can apply their knowledge and understanding to dozens, hundreds, or even thousands of documents. Experts will have to apply their knowledge to classify materials as potentially dangerous or not.

AI 103

AI AI DataOps Data Governance 103

phData

MAY 7, 2025

Post-incident analysis revealed an untracked schema change one that wasnt documented and went unnoticed until it disrupted a critical workflow. The post How Querying Apache Iceberg Metadata Can Elevate Your DataOps Strategy appeared first on phData. Whats worse? This wasnt the first time. Contact phData Today!

DataOps 52

DataOps AWS SQL Data Engineering 52

Snorkel AI

OCTOBER 31, 2023

Labeling documents one-by-one could take a prohibitive amount of time. In the time they would spend labeling a single record, experts can apply their knowledge and understanding to dozens, hundreds, or even thousands of documents. Experts will have to apply their knowledge to classify materials as potentially dangerous or not.

AI 52

AI AI DataOps Data Governance 52