IBM Journey to AI blog

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 130

Metadata Data Quality Data Discovery Data Scientist 130

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

Snorkel AI

JULY 5, 2023

Generally, data is produced by one team, and then for that to be discoverable and useful for another team, it can be a daunting task for most organizations. Even larger, more established organizations struggle with data discovery and usage. Robert, you can go first. I have a certain point of view on this.

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

Generally, data is produced by one team, and then for that to be discoverable and useful for another team, it can be a daunting task for most organizations. Even larger, more established organizations struggle with data discovery and usage. Robert, you can go first. I have a certain point of view on this.

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Pickl AI

FEBRUARY 9, 2025

At its core, it is designed to help people see and understand data. Whether you are an analyst, data scientist, student, teacher, executive, or business user, it puts the user first, from connection through collaboration, and provides a powerful, secure, and flexible end-to-end analytics platform.

Big Data 52

Big Data Data Quality Data Analysis Data Discovery 52