computing platforms such as MaxCompute, Spark SQL, Hadoop, and E-MapReduce, the reports are still complex, and data drilling is ...

to use the sliding window function in Spark Streaming SQL. What is a sliding ...

E-MapReduce, HybridDB, Hadoop, Hive, Presto, and Spark to compute log data. ...

, such as Hive and Spark, the user needs a dedicated big data engineer for operations and maintenance. The operation process is high ...

, job, and data management services, it is ideal for large scale online promotion scenarios. Supports the Hadoop and Spark ...

data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark ...

Data service that uses Apache Hadoop and Spark to greatly simplify data processing Virtual Private Cloud (VPC) An isolated ...

technical evaluation. Linux has also contributed and laid the foundation for today's cloud computing. Hadoop, Spark, and ...

required 4,328 seconds in 2013, Apache Spark required 1,406 seconds in 2014, while Aliyun just required 377 seconds in 2015 ...

, and large-scaled structured storage are the major scenarios of Big Data service. Developers prefer using Hadoop and Spark as ...