Astera

MAY 14, 2024

, “Who created the data?” Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data provenance is what adds depth to this trail. and “Why was it created?

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Cybersecurity 52

Dataversity

AUGUST 16, 2023

Businesses of all sizes increasingly see the benefits of being data-driven. Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools.

Big Data 200

Big Data Business Intelligence Business Intelligence Data Analytics 200

Astera

FEBRUARY 7, 2024

Speedy data transfer proves crucial when real-time data delivery is needed, particularly for prompt decision-making. Streamlined Data Analytics With zero-ETL, it’s possible to access and analyze data as it flows. For instance, cybersecurity firms can adopt zero-ETL for real-time threat detection.

Real-time Data 52

Real-time Data Cybersecurity Data Quality Monitoring 52

Astera

JANUARY 23, 2023

See how we can help Best Practices of Healthcare Data Management To maximize the potential of implementing a healthcare data management system, hospitals and other healthcare facilities must collaborate to effectively manage, organize, safeguard, and transfer patient and provider information. to analyze data.

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Astera

OCTOBER 27, 2023

Practical Tips To Tackle Data Quality During Cloud Migration The cloud offers a host of benefits that on-prem systems don’t. Here are some tips to ensure data quality when taking your data warehouse to the cloud. The added layer of governance enhances the overall data quality management efforts of an organization.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Sisense

OCTOBER 29, 2020

“AVs are the most advanced version of artificial intelligence (AI) that we are working on right now and require an enormous amount of data to do machine learning to improve the computer’s ability to understand the world and make decisions. Computers are the new drivers,” she said.

Artificial Intelligence 90

Artificial Intelligence Cybersecurity Data Analytics Data Analytics 90