Apache Sparkâ„¢ - Unified Engine for large-scale data analyticsApache Sparkâ„¢ is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Disco MapReduce
Disco is a lightweight, open-source framework for distributed computing based on the MapReduce paradigm. Disco is powerful and easy to use, thanks to Python. Disco distributes and replicates your data, and schedules your jobs efficiently. Disco even includes the tools you need to index billions of data points and query them in real-time. Disco was born in Nokia Research Center in 2008 to solve rea
Welcome to Apache Pig!
Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets. At the present time, Pig's infrastructure l
App Engine documentation  | App Engine Documentation  | Google Cloud
Stay organized with collections Save and categorize content based on your preferences. App Engine is a fully managed, serverless platform for developing and hosting web applications at scale. You can choose from several popular languages, libraries, and frameworks to develop your apps, and then let App Engine take care of provisioning servers and scaling your app instances based on demand. Learn m
App Engine documentation  | App Engine Documentation  | Google Cloud
Stay organized with collections Save and categorize content based on your preferences. App Engine is a fully managed, serverless platform for developing and hosting web applications at scale. You can choose from several popular languages, libraries, and frameworks to develop your apps, and then let App Engine take care of provisioning servers and scaling your app instances based on demand. Learn m
Welcome to Apacheâ„¢ Hadoopâ„¢!
Apache Hadoop The Apache® Hadoop® project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation an
MapReduce: Simplified Data Processing on Large Clusters
OSDI'04: Sixth Symposium on Operating System Design and Implementation, San Francisco, CA (2004), pp. 137-150 MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associa
1
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
GitHub - GoogleCloudPlatform/appengine-pipelines: makeViewerUrl
Hadoopã®MapRecudeã‚’Python(Jython)ã§æ›¸ããŸã‚ã®ãƒ•ãƒ¬ãƒ¼ãƒ ワーク「Happy
{{#tags}}- {{label}}
{{/tags}}