Remove Automation Remove Big Data Remove Data Discovery
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Five benefits of a data catalog

IBM Journey to AI blog

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.

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Data architecture strategy for data quality

IBM Journey to AI blog

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 Accelerates Business Intelligence and Big Data Projects with New Data Source Discovery Software

Attivio

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.,

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How Data Security Posture Management Protects Against Data Breaches

ODSC - Open Data Science

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.

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Augmented Analytics?—?Where Do You Fit in at the Intersection of Analytics and Business…

ODSC - Open Data Science

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?

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What is ETL? Top ETL Tools

Marktechpost

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.

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Google experts on practical paths to data-centricity in applied AI

Snorkel AI

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? Even larger, more established organizations struggle with data discovery and usage. So there are a lot of factors.