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DCO Government Highlights Data-Driven Innovation in the Public Sector

Corinium

This two-day digital event shone a spotlight on the most innovative data strategies, data-driven cultures and digital transformations in the US public sector.

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Stream and Event Processing Require Real-Time Analytics

David Menninger's Analyst Perspectives

In my past perspectives, I’ve written about the evolution from data at rest to data in motion and the fact that you can’t rely on dashboards for real-time analytics. Organizations are becoming more and more event-driven and operating based on streaming data.

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Looking Back on Our First Women Leaders in Technology Event

Cloudera

Over the last few months, Cloudera has been traversing the globe hosting our EVOLVE24 event series. Building Inclusive Data-Driven Organizations: Leadership Strategies for the Modern Workplace As it stands, women currently account for approximately 25% of the technology workforce.

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Introducing simplified interaction with the Airflow REST API in Amazon MWAA

AWS Big Data

The Airflow REST API facilitates a wide range of use cases, from centralizing and automating administrative tasks to building event-driven, data-aware data pipelines. This supports the growing emphasis on event-driven data pipelines. When we announced support for version 2.9.2

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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Celonis Improves Business Processes with Process Mining

David Menninger's Analyst Perspectives

As I recently pointed out, process mining has emerged as a pivotal technology for data-driven organizations to discover, monitor and improve processes through use of real-time event data, transactional data and log files. Organizations use it to better understand the current state of systems and business processes.

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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.