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Apache Pig [1] is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin. [1] Pig can execute its Hadoop jobs in MapReduce, Apache Tez, or Apache Spark. [2]
Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [3] [4] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.
MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster. [1] [2] [3]A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary ...
Cascading is a software abstraction layer for Apache Hadoop and Apache Flink. Cascading is used to create and execute complex data processing workflows on a Hadoop cluster using any JVM-based language (Java, JRuby, Clojure, etc.), hiding the underlying complexity of MapReduce jobs. It is open source and available under the Apache License.
[count]: [operand labels] Stack [before]→[after] Description aaload 32 0011 0010 arrayref, index → value load onto the stack a reference from an array aastore 53 0101 0011 arrayref, index, value → store a reference in an array aconst_null 01 0000 0001 → null push a null reference onto the stack aload 19 0001 1001 1: index → objectref
Its primary use is in Apache Hadoop, where it can provide both a serialization format for persistent data, and a wire format for communication between Hadoop nodes, and from client programs to the Hadoop services. Avro uses a schema to structure the data that is being encoded.
You can do Hadoop MapReduce queries on the current database dump, but you will need an extension to the InputRecordFormat to have each <page> </page> be a single mapper input. A working set of java methods (jobControl, mapper, reducer, and XmlInputRecordFormat) is available at Hadoop on the Wikipedia
Apache Accumulo is a highly scalable sorted, distributed key-value store based on Google's Bigtable. [2] It is a system built on top of Apache Hadoop , Apache ZooKeeper , and Apache Thrift . Written in Java , Accumulo has cell-level access labels and server-side programming mechanisms.