Examples of using Apache cassandra in English and their translations into Chinese
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What is Apache Cassandra™?
Apache Cassandra is quick to set up.
Why should we use Apache Cassandra?
Apache Cassandra is a free and open-source NoSQL database with no single point of failure.
Why should we use Apache Cassandra?
Apache Cassandra is used by a number of organizations including Apple, NetFlix, eBay, and Easou.
They range from Apache Cassandra to Ceph.
Apache Cassandra, for instance, has a slew of native data types that are reminiscent of those found in conventional SQL.
It is instead using Apache Cassandra's CassandraFS.
Its backend is built using a number of open andclosed source technologies including D3, Apache Cassandra, Kafka, PostgreSQL, etc.
It is based on the Apache Cassandra NoSQL database.
Flink offers ready-built source and sink connectors with Apache Kafka, Amazon Kinesis,HDFS, Apache Cassandra, and more.[1].
It is based on the Apache Cassandra NoSQL database.
Apache Cassandra is an open-source NoSQL database with no single point of failure, providing linear scalability and high availability without compromising performance.
It's based on the Apache Cassandra NoSQL database and Java.
NoSQL databases have existed since the 1960s, but have been recently gaining traction with popular options such as MongoDB, CouchDB,Redis and Apache Cassandra.
It's based on the Apache Cassandra NoSQL database and Java.
Apache Cassandra is an open source, distributed and decentralized/distributed storage system(database), for managing very large amounts of structured data spread out across the world.
It can accessdiverse data sources including HDFS, Apache Cassandra, Apache HBase, and S3.
DataStax leverages Apache Cassandra for distribution across data centers.
DataStax is a leading player in the NoSQL database arena,providing software based on the Apache Cassandra database for cloud and data-intensive applications.
For example, Apache Cassandra, a column store database, has its own SQL-like language, the Cassandra Query Language or CQL.
In the 2000s, innovations in web searching allowed for the development of MapReduce,Apache Hadoop, and Apache Cassandra to help discover, prepare, and present information.
Of the potential offerings on the market, Apache Cassandra™ is currently the only option that can run in a real multi-cloud or hybrid cloud deployment.
Other popular stores- Apache Cassandra, MongoDB, Apache HBase, and many others- can be used by pulling in separate connectors from the Spark Packages ecosystem.
While he was an engineer at Facebook,Avinash Lakshman created Apache Cassandra, a"big data" database originally built to handle Facebook's Inbox Search feature.
Other popular stores- Apache Cassandra, MongoDB, Apache HBase, and many others- can be used by pulling in separate connectors from the Spark Packages ecosystem.
DataStax Enterprise 5.0, which is based on Apache Cassandra 3.0, adds support for Graph data, tiered storage, a and multi-instance for Cassandra. .
As an engineer at Facebook, Avinash created Apache Cassandra, a“big data” database originally built to handle Facebook's inbox search feature.
A new breed of modern databases(including MongoDB, Apache Cassandra, Redis, and DynamoDB) is rapidly becoming the standard platform for cloud-native application deployment.