Streaming Data Dilemma: 5 Reasons Some Companies Aren’t Streaming Data Yet

In the era of big data and bigger AI, businesses are relying more on the importance of real-time data processing and analytics. Streaming data is a powerful paradigm for handling continuous, unbounded streams of data in real time. However, despite benefits like reduced latency, improved responsiveness, and the ability to make data-driven decisions on the…

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Confluent Unveils Apache Flink Service for Simplified Stream Processing

According to a new press release, Confluent, a data streaming pioneer, has introduced Apache Flink on Confluent Cloud, a fully managed stream processing service that simplifies data stream filtering, joining, and enrichment. This offering enables organizations to react quickly and innovate by processing data streams in real time, resulting in timely insights and new use…

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Fundamentals of Real-Time Analytics

In the evolving world of business, the emergence of new technologies is aiding organizations to make agile and accurate decisions. Real-time analytics – which involves collecting and analyzing data as it happens – is one such technology that is changing the business landscape. With superfast identification of trends and patterns, businesses can leverage real-time analytics…

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