Source: analyticsinsight.net Real-time analytics has become the most crucial term in Big data analytics for enterprises. This enables enterprises to use all available data as real-time analytics big data. This means with real-time analytics enterprises can generate analytics reports as and when the data is received. It ideally takes a minute. Furthermore, using real-time analytics, Read More

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Source:- ericsson.com In our latest post, we investigate the impact of today’s data pipelining challenges and explore how increased automation of stream processing frameworks such as Spark and Flink can help to yield better performance for telecom operators. It’s been so long since we wrote our blog series (apache-storm-vs-spark-streaming and apache-storm-performance-tuners) on stream processing frameworks, and Read More

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Artificial Intelligence