Examples of using Hadoop in English and their translations into Chinese
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Hadoop Common: the collection of Java tools needed for the user's computers to read this data stored under the file system.
Whether it's in a spreadsheet, a SQL database, Hadoop, or the cloud, you can connect to any data, anywhere.
Another big advantage of Hadoop is that apart from being open source, it is compatible on all the platforms since it is Java based.
Hadoop YARN- a resource-management platform responsible for managing compute resources in clusters and using them for scheduling of users' applications.
The Hadoop distributed file system, or HDFS, is the foundation for many big data frameworks, since it provides scaleable and reliable storage.
All these processes rely on the AI system's use of two million images stored in the Hadoop environment for comparison and contrast.
A Gartner survey indicates that Hadoop is the third choice for Big Data technology, behind Enterprise Data Warehouse and Cloud Computing.
Generally the input data is in the form of file or directory and is stored in the Hadoop file system(HDFS).
Netflix uses Amazon's Elastic MapReduce distribution of Hadoop and has developed its own Hadoop Platform as a Service, which it calls Genie.
CDH is Cloudera's 100% open source platform distribution, including Apache Hadoop and built specifically to meet enterprise demands.
In addition to SQL queries, you can easily read and write data in BigQuery via Cloud Dataflow, Hadoop, and Spark.
Bigtop supports a wide range of components/projects, including, but not limited to, Hadoop, HBase and Spark.".
It can be loaded with Hadoop workflows for providing machine learning algorithms such as classification, regression, and clustering.
Cloudera uses open source Hadoop for the basis of its distribution, but it is not a pure open source product.
Hortonworks Hortonworks is another Hadoop vendor, and has received over $70 million in venture capital investment after spinning off from Yahoo in 2011.
Like Hadoop, Spark includes an ever growing array of tools and features to augment the core platform.
The Hadoop framework consists of a single master and many slaves.
Spark: Spark is an in-memory data-processing platform that is compatible with Hadoop data sources but runs much faster than Hadoop MapReduce.
It is wiser to compare Hadoop MapReduce to Spark, because they're more comparable as data processing engines.
Jim Walker: There is another important component in a Hadoop stack that you have forgotten.