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A Step Ahead: IoT Data Characteristics — Seven Vs

TDAN

IoT (Internet of Things) incorporates many new and innovative technologies, such as sensors, smart devices, machine-to-machine communication, networking, advanced computing, and data analytics. One of the keys in the success of IoT is the data that flows underneath these technologies.

IoT 52
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4 paths to sustainable AI

CIO Business Intelligence

For example, using ML to route IoT messages may be unwarranted; you can express the logic with a rules engine.” Online gaming company Mino Games uses DataGPT, which integrates analytics, a caching database, as well as extract, translate and load (ETL) processes to speed queries, such as which new features to offer players.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Data analytics priorities have shifted this year. Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. In 2015, only 17% of organizations surveyed had big data implementations.

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Understanding Digital Interactions in Real-Time

CIO Business Intelligence

But this glittering prize might cause some organizations to overlook something significantly more important: constructing the kind of event-driven data architecture that supports robust real-time analytics. It’s no surprise that the event-based paradigm has had a big impact on what today’s software architectures look like.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

These thought leaders in data management and analytics represent all areas of the industry from executives and industry analysts to professors and media experts. However, this year, it is evident that the pace of acceleration to modern data architectures has intensified. ” – Cornelia Levy-Bencheton. .”

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The Cloud Connection: How Governance Supports Security

Alation

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. On-premises business intelligence and databases. Cloud governance.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. The term “ML” is No.

IoT 20