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Jira: Managing Custom Workflows

Posted By: IrGens
Jira: Managing Custom Workflows

Jira: Managing Custom Workflows
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 41m | 226 MB
Instructor: Rachel Wright

Data Engineering Pipeline Management with Apache Airflow

Posted By: lucky_aut
Data Engineering Pipeline Management with Apache Airflow

Data Engineering Pipeline Management with Apache Airflow
Released: 8/15/2023
Duration: 2h 8m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 286 MB
Genre: eLearning | Language: English

Git Workflows

Posted By: lucky_aut
Git Workflows

Git Workflows
Duration: 1h 4m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 175 MB
Genre: eLearning | Language: English

Handbook on Business Process Management 2: Strategic Alignment, Governance, People and Culture

Posted By: AvaxGenius
Handbook on Business Process Management 2: Strategic Alignment, Governance, People and Culture

Handbook on Business Process Management 2: Strategic Alignment, Governance, People and Culture by Jan vom Brocke
English | PDF | 621 Pages | ISBN : 3642019811 | 10.9 MB

Business Process Management (BPM) has become one of the most widely used approaches for the design of modern organizational and information systems. The conscious treatment of business processes as significant corporate assets has facilitated substantial improvements in organizational performance but is also used to ensure the conformance of corporate activities. This Handbook presents in two volumes the contemporary body of knowledge as articulated by the world's leading BPM thought leaders.

Process Mining: Data Science in Action (Repost)

Posted By: AvaxGenius
Process Mining: Data Science in Action (Repost)

Process Mining: Data Science in Action by Wil van der Aalst
English | PDF | 2016 | 477 Pages | ISBN : 3662498502 | 21.4 MB

This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics.