Marktechpost

MARCH 12, 2024

Even among datasets that include the same subject matter, there is no standard layout of files or data formats. This obstacle lowers productivity through machine learning development—from data discovery to model training. Database metadata can be expressed in various formats, including schema.org and DCAT.

Metadata 118

Metadata Machine Learning ML Data Discovery 118

Pickl AI

JULY 6, 2023

These work together to enable efficient data processing and analysis: · Hive Metastore It is a central repository that stores metadata about Hive’s tables, partitions, and schemas. Thus, making it easier for analysts and data scientists to leverage their SQL skills for Big Data analysis.

Big Data 52

Big Data Data Analysis ETL Metadata 52

Marktechpost

AUGUST 26, 2024

Data discovery has become increasingly challenging due to the proliferation of easily accessible data analysis tools and low-cost cloud storage. While these advancements have democratized data access, they have also led to less structured data stores and a rapid expansion of derived artifacts in enterprise environments.

Data Discovery 56

Data Discovery Metadata Data Analysis Algorithm 56

Pickl AI

FEBRUARY 9, 2025

Catalogue Tableau Catalogue automatically catalogues all data assets and sources into one central list and provides metadata in context for fast data discovery. It transforms complex data into clear visuals, enabling informed decisions. Is Tableau Suitable for Large Datasets?

Big Data 52

Big Data Data Quality Data Analysis Data Discovery 52