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 Automation 130

IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 130

Data Quality Metadata ETL Big Data 130

Attivio

JUNE 8, 2015

June 8, 2015: Attivio ( www.attivio.com ), the Data Dexterity Company, today announced Attivio 5, the next generation of its software platform. Monday, June 8, 2015 Announces New Capabilities to Help Data Scientists and Business Analysts Significantly Reduce the Time Required to Identify the Right Data for Analysis Location: NEWTON, Mass.

Business Intelligence 40

Business Intelligence Big Data Data Discovery Data Scientist 40

Pickl AI

JULY 6, 2023

Thus, making it easier for analysts and data scientists to leverage their SQL skills for Big Data analysis. It applies the data structure during querying rather than data ingestion. This integration allows users to combine the strengths of different tools and frameworks to solve complex big-data challenges.

Big Data 52

Big Data Data Analysis ETL Metadata 52

ODSC - Open Data Science

FEBRUARY 13, 2024

Data discovery, mapping, classification, incident response, and remediation are ongoing. Therefore, it’s important to have security technology that can provide ongoing monitoring and protection against a growing number of data breaches. He enjoys writing about SaaS, AI, machine learning, analytics, and Big Data.

Data Science 52

Data Science Data Discovery Automation Machine Learning 52

Pickl AI

OCTOBER 10, 2023

It’s important to understand the scale of your data, as it can impact storage, processing, and analysis. Monitoring data volume involves keeping track of how much data is being generated, collected, and stored over time. Schema A data schema defines the structure and organization of your data.

Data Quality 52

Data Quality Data Integration Machine Learning Metadata 52

Flipboard

OCTOBER 25, 2023

The first is the raw input data that gets ingested by source systems, the second is the output data that gets extracted from input data using AI, and the third is the metadata layer that maintains a relationship between them for data discovery.

ML 132

ML Metadata AI AI 132