Remove topic streaming-devices
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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In this post, I’ll describe some of the key areas of interest and concern highlighted by respondents from Europe, while describing how some of these topics will be covered at the upcoming Strata Data conference in London (April 29 - May 2, 2019). At the 2018 Strata Data London, data privacy and GDPR were big topics. Data Platforms.

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One simple chart: Who is interested in Apache Pulsar?

O'Reilly on Data

With companies producing data from an increasing number of systems and devices, messaging and event streaming solutions—particularly Apache Kafka —have gained widespread adoption. High performance and scalability : Pulsar has been used at Yahoo for several years to handle 100 billion messages per day on over two million topics.

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

to infer topics, trends, sentiment, context, content, named entity identification, numerical content extraction (including the units on those numbers), and negations. Labels can be learned and applied in existing CMS, in massive streaming data, and in sensor data (collected in devices at the “edge”). Do not forget the negations.

Strategy 267
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My top learning moments at Splunk.conf23

Rocket-Powered Data Science

Organizations are able to monitor integrity, quality drift, performance trends, real-time demand, SLA (service level agreement) compliance metrics, and anomalous behaviors (in devices, applications, and networks) to provide timely alerting, early warnings, and other confidence measures.

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Stream multi-tenant data with Amazon MSK

AWS Big Data

Real-time data streaming has become prominent in today’s world of instantaneous digital experiences. Processing these data streams in real time is key to delivering responsive and personalized solutions, and maximizes the value of data by processing it as close to the event time as possible. In particular, we focus on Amazon MSK.

Modeling 115
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Migrate from Amazon Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics Studio

AWS Big Data

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

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Nexthink scales to trillions of events per day with Amazon MSK

AWS Big Data

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. Initially supporting 10,000 devices, some new tenants had over 300,000 devices.