Automation Big Data Data Discovery 
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.
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.
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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.,
ODSC - Open Data Science
FEBRUARY 13, 2024
Fourth, It Responds to Incidents DSPM relies on automated incident response. The majority of data breaches start with unauthorized logins into the network. In 2023, a threat actor stole the data of 2.3 With the automated remediation that DSPM offers, access policies can be tweaked to adhere to zero trust methodology.
ODSC - Open Data Science
JUNE 2, 2023
Business users can access relevant insights quickly without turning IT or analytics departments into bottlenecks, and analysts can take advantage of business acumen to direct their analysis focusing on advanced modeling and automation. Win-win, right? So where do you fit into the BI equation?
Marktechpost
JULY 18, 2023
The entire ETL procedure is automated using an ETL tool. ETL solutions employ several data management strategies to automate the extraction, transformation, and loading (ETL) process, reducing errors and speeding up data integration. Large-scale businesses and Big Data firms are its primary target market.
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.
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