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

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. And anecdotal evidence supports a similar 80% effort within data integration just to identify and profile data sources.” [1] Newton, Mass.,

Business Intelligence 40

Business Intelligence Big Data Data Discovery Data Scientist 40

Marktechpost

JULY 18, 2023

ETL solutions employ several data management strategies to automate the extraction, transformation, and loading (ETL) process, reducing errors and speeding up data integration. Skyvia Skyvia is a cloud data platform created by Devart that enables no-coding data integration, backup, management, and access.

ETL 52

ETL Data Integration Business Intelligence Automation 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 Machine Learning Data Science Data Integration 52

Marktechpost

NOVEMBER 4, 2024

In order to solve particular business questions, this process usually includes developing and managing data systems, collecting and cleaning data, analyzing it statistically, and interpreting the findings. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.

Data Analysis 84

Data Analysis Machine Learning Data Science Python 84

Marktechpost

NOVEMBER 1, 2024

IBM Watson Analytics IBM AI-driven insights are used by Watson Analytics, a cloud-based data analysis and visualization tool, to assist users in understanding their data. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 98