With the ubiquity of real-time data, organizations need streaming systems that are scalable, easy to use, and easy to integrate into business applications. Structured Streaming is a new high-level streaming API in Apache Spark based on our experience with Spark Streaming. Structured Streaming differs from other recent stream- ing APIs, such as Google Dataflow, in two main ways. First, it is a purely declarative API based on automatically incrementalizing a static relational query (expressed using SQL or DataFrames), in con- trast to APIs that ask the user to build a DAG of physical operators. Second, Structured Streaming aims to support end-to-end real-time applications that integrate streaming with batch and interactive analysis. We found that this integration was often a key challenge in
Spark Structured Streaming
Spark Structured Streaming
Spark Structured Streaming
Spark Structured Streaming
Spark Structured Streaming
Spark Structured Streaming
Spark Structured Streaming
Spark Structured Streaming
Spark Structured Streaming
Spark Structured Streaming
Spark Structured Streaming
Spark Structured Streaming
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