Asked by Karen Vaughn on November 04, 2021
Categories: Technology and computing Data storage and warehousing
Rating: 4.3/5 (50 votes)
Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any-scale.
What is stream processing in big data? Stream Processing is a Big data technology. It is used to query continuous data stream and detect conditions, quickly, within a small time period from the time of receiving the-data.
How is spark different from Hadoop? Hadoop is designed to handle batch processing efficiently whereas Spark is designed to handle real-time data efficiently. Hadoop is a high latency computing framework, which does not have an interactive mode whereas Spark is a low latency computing and canprocess data interactively.
What is Apache Spark core? Spark Core is the base of the whole project. It provides distributed task dispatching, scheduling, and basic I/O functionalities. Spark uses a specialized fundamental data structure known as RDD (Resilient Distributed Datasets)that is a logical collection of data partitioned across machines.
What is stream data processing? Stream processing is a-technology that let users query a continuous data stream and quickly detect conditions within a small time period from the time of receiving the data. It's one of the big data technologies that was popularized by Apache Storm.
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