Getting Started with Apache Spark
نویسنده
چکیده
منابع مشابه
Large-scale Complex Analytics on Semi-structured Datasets using AsterixDB and Spark
Large quantities of raw data are being generated by many different sources in different formats. Private and public sectors alike acclaim the valuable information and insights that can be mined from such data to better understand the dynamics of everyday life, such as traffic, worldwide logistics, and social behavior. For this reason, storing, managing, and analyzing “Big Data” at scale is gett...
متن کاملA 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...
متن کاملOn the usability of Hadoop MapReduce, Apache Spark & Apache flink for data science
Distributed data processing platforms for cloud computing are important tools for large-scale data analytics. Apache Hadoop MapReduce has become the de facto standard in this space, though its programming interface is relatively low-level, requiring many implementation steps even for simple analysis tasks. This has led to the development of advanced dataflow oriented platforms, most prominently...
متن کاملDdup - towards a deduplication framework utilising apache spark
This paper is about a new framework called DeduPlication (DduP). DduP aims to solve large scale deduplication problems on arbitrary data tuples. DduP tries to bridge the gap between big data, high performance and duplicate detection. At the moment a first prototype exists but the overall project status is work in progress. DduP utilises the promising successor of Apache Hadoop MapReduce [Had14]...
متن کاملA 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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015