Alation

JUNE 21, 2022

The audience grew to include data scientists (who were even more scarce and expensive) and their supporting resources (e.g., ML and DataOps teams). After that came data governance , privacy, and compliance staff. Power business users and other non-purely-analytic data citizens came after that.

DataOps 52

DataOps Data Scientist Data Quality Data Pipeline 52

Alation

DECEMBER 13, 2022

Today a modern catalog hosts a wide range of users (like business leaders, data scientists and engineers) and supports an even wider set of use cases (like data governance , self-service , and cloud migration ). So feckless buyers may resort to buying separate data catalogs for use cases like…. Data governance.

DataOps 52

DataOps Data Governance Data Silos Data Scientist 52

Alation

APRIL 18, 2023

In the past, experts would need to write dozens of queries to extract this information over hours or days. Today, data profiling tools have made this process instantaneous, accelerating peoples’ ability to deliver new data products and troubleshoot quality issues. It’s a huge time saver, and it gives you so much information.

Data Profiling 52

Data Profiling Data Quality Data Governance Data Pipeline 52

Alation

MAY 24, 2022

It empowers engineers to oversee data pipelines that deliver trusted data to the wider organization. Yet data quality information is often siloed from those who need it most. Business users must exit their workflows to verify data integrity – wasting time and resources and diminishing trust.

Data Quality 52

Data Quality Data Pipeline DataOps Analytics 52

Dataversity

JUNE 29, 2022

The quality of the data you use in daily operations plays a significant role in how well you will generate valuable insights for your enterprise. You want to rely on data integrity to ensure you avoid simple mistakes because of poor sourcing or data that may not be correctly organized and verified. That requires the […].

Data Observability 98

Data Observability DataOps Data Quality Data Governance 98

Pickl AI

DECEMBER 11, 2024

Understanding Lean Data Management Lean data management revolves around four core principles: accuracy , relevance , accessibility , and efficiency. Accurate data ensures decisions are grounded in reliable information. Relevance prioritises the most critical data for organisational goals, eliminating unnecessary noise.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52

Alation

AUGUST 11, 2022

DataOps sprung up to connect data sources to data consumers. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. managing supply chains, providing better customer service, enabling doctors to make data-informed bedside decisions].

Data Warehouse 52

Data Warehouse Data Engineer Data Engineering Data Engineering 52

Dataversity

JULY 1, 2022

Businesses rely on data to drive revenue and create better customer experiences – […]. A 20-year-old article from MIT Technology Review tells us that good software “is usable, reliable, defect-free, cost-effective, and maintainable. And software now is none of those things.” Today, most businesses would beg to differ.

Analytics 52

Analytics Analytics DataOps Data Pipeline 52

Snorkel AI

OCTOBER 31, 2023

Our researchers recently demonstrated the potency of programmatic dataops when they saved hundreds of hours preparing data to intruction-tune the RedPajama LLM. Manually labeling the instruction-tuning data would have taken months. Our researchers did it in two days. A new day for AI and the U.S.

AI 111

AI AI DataOps Data Governance 111

Snorkel AI

OCTOBER 31, 2023

Our researchers recently demonstrated the potency of programmatic dataops when they saved hundreds of hours preparing data to intruction-tune the RedPajama LLM. Manually labeling the instruction-tuning data would have taken months. Our researchers did it in two days. A new day for AI and the U.S.

AI 103

AI AI DataOps Data Governance 103

Dataversity

NOVEMBER 15, 2021

DataOps is something that has been building up at the edges of enterprise data strategies for a couple of years now, steadily gaining followers and creeping up the agenda of data professionals. The number of data requests from the business keeps growing […].

DataOps 110

DataOps Analytics Analytics Data Quality 110

Snorkel AI

OCTOBER 31, 2023

Our researchers recently demonstrated the potency of programmatic dataops when they saved hundreds of hours preparing data to intruction-tune the RedPajama LLM. Manually labeling the instruction-tuning data would have taken months. Our researchers did it in two days. A new day for AI and the U.S.

AI 52

AI AI DataOps Data Governance 52

Dataversity

OCTOBER 22, 2021

In today’s competitive enterprise landscape, having a proper DataOps strategy in place correlates with better data intelligence and optimization within an organization – breaking down silos and enabling data democratization and better business agility at scale.

DataOps 98

DataOps Data Governance Database 98

Alation

OCTOBER 12, 2021

Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. DataOps. … In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making. Business strategy.

Analytics 52

Analytics Analytics Data Governance DataOps 52

Precisely

FEBRUARY 9, 2024

Data Integrity for Compliance Remains in the Spotlight Data privacy and security concerns remain top of mind for organizations across industries. As consumer standards for protecting their personal identifiable information (PII) grow, so do the consequences for organizations that don’t live up to those expectations.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

Dataversity

JUNE 23, 2021

The role of the chief data officer (CDO) has evolved more over the last decade than any of the C-suite. The post Speed Up AI Development by Hiring a Chief Data Officer appeared first on DATAVERSITY. Click to learn more about author Jitesh Ghai. As companies plan for a rebound from the pandemic, the CDO […].

AI 59

AI AI DataOps Data Quality 59