YARN is a generic resource-management framework for distributed workloads; in other words, a cluster-level operating system. Although part of the Hadoop ecosystem, YARN can support a lot of varied compute-frameworks (such as Tez, and Spark) in addition to MapReduce.
Apache Spark has its architectural foundation in the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. The Dataframe API was released as an abstraction on top of the RDD, followed by the Dataset API.
Apache Spark has its architectural foundation in the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. The Dataframe API was released as an abstraction on top of the RDD, followed by the Dataset API.
Hive is a Hadoop-based data warehouse tool that maps structured data files into a database table and provides complete SQL query functionality that converts SQL statements into MapReduce tasks for execution. It is very suitable for statistical analysis of data warehouse.
Apache Spark has its architectural foundation in the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. The Dataframe API was released as an abstraction on top of the RDD, followed by the Dataset API.
The features of large applications: high availability, high concurrency and big data. High availability: system need to provide service without interruption. High concurrency: still stable under the big access. Big data: store and manage big data well.
Final key word no doubt be mentioned most time in Java language. There are some points about final key word. First of all, final key word can modify three objects: first is modify variables, second is modify way, third is modify class.
ZooKeeper is an open source distributed coordination framework. It is positioned to provide consistent services for distributed applications and is the administrator of the entire big data system. ZooKeeper will encapsulate key services that are complex and error-prone, and provide users with efficient, stable, and easy-to-use services.
