A Reference Architecture and Road map for Enabling E-commerce on Apache Spark

A Reference Architecture and Road map for Enabling E- commerce on Apache Spark

Apache Spark is an execution engine that besides working as an isolated distributed, in-memory computing engine also offers close integration with Hadoop’s distributed file system (HDFS). Apache Spark's underlying appeal is in providing a unified framework to create sophisticated applications involving workloads. It unifies multiple workloads, handles unstructured data very well and has easy-to...

A Service-Oriented E-Commerce Reference Architecture

Electronic commerce (e-commerce) is getting more and more important in people’s every day shopping routines. Vendors who want to establish an online channel besides their traditional retail practice have to integrate the two supply chains. The underlying information technology systems should be able to support the integration of the new and old processes. While reference models are a popular me...

A comparison on scalability for batch big data processing on Apache Spark and Apache Flink

*Correspondence: [email protected] 1Department of Computer Science and Artificial Intelligence, CITIC-UGR (Research Center on Information and Communications Technology), University of Granada, Calle Periodista Daniel Saucedo Aranda, 18071 Granada, Spain Full list of author information is available at the end of the article Abstract The large amounts of data have created a need for new fram...

Approximate Stream Analytics in Apache Flink and Apache Spark Streaming

Approximate computing aims for efficient execution of workflows where an approximate output is sufficient instead of the exact output. The idea behind approximate computing is to compute over a representative sample instead of the entire input dataset. Thus, approximate computing — based on the chosen sample size — can make a systematic trade-off between the output accuracy and computation effi...

Getting Started with Apache Spark