Ascend.io

JANUARY 10, 2024

AI models are only as good as the data they consume, making continuous data readiness crucial. Here are the key processes that need to be in place to guarantee consistently high-quality data for AI models: Data Availability: Establish a process to regularly check on data availability.

Data Pipeline 52

Data Pipeline Government Data Governance Raw Data 52

Knowledge Hut

APRIL 23, 2024

It involves assessing the credibility and reputation of the sources from which the data is obtained. Data from trustworthy and reputable sources are more reliable and dependable. On the other hand, "methodology" refers to the techniques and procedures used for data collection, processing, and analysis.

Big Data 52

Big Data Media Datasets Unstructured Data 52

ProjectPro

FEBRUARY 21, 2023

GCP Data Engineer Certification The Google Cloud Certified Professional Data Engineer certification is ideal for data professionals whose jobs generally involve data governance, data handling, data processing, and performing a lot of feature engineering on data to prepare it for modeling.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Weekly

NOVEMBER 13, 2022

It moved from the speculation to the data engineers understanding the benefit of it and asking when we can get the implementation soon. I met many data leaders about Data Contracts, my project Schemata, and how the extended version we are building can help them create high-quality data.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Monte Carlo

MAY 25, 2023

Automated data orchestration removes data bottlenecks by eliminating the need for manual data preparation, enabling analysts to both extract and activate data in real-time. Improved data governance. Data orchestration enables data teams to easily understand, prepare, and manage pipelines at scale.

Data Pipeline 52

Data Pipeline Data Workflow Data Data Governance 52