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Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities for reliable, scalable, distributed computing.It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
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.
The user writes "recipes" that describe how Chef manages server applications and utilities (such as Apache HTTP Server, MySQL, or Hadoop) and how they are to be configured. These recipes (which can be grouped together as a "cookbook" for easier management) describe a series of resources that should be in a particular state: packages that should ...
Installation (or setup) of a computer program (including device drivers and plugins), is the act of making the program ready for execution. Installation refers to the particular configuration of software or hardware with a view to making it usable with the computer. A soft or digital copy of the piece of software (program) is needed to install it.
It allows executing ETL jobs in and out of big data environments such as Apache Hadoop or Hadoop distributions such as Amazon, Cloudera, EMC Greenplum, MapR, and Hortonworks. [3] It also supports NoSQL data sources such as MongoDB and HBase. [4] Pentaho Report Designer: EE, CE: Desktop application: 9.0.0.0-423
Microsoft, a tech company historically known for its opposition to the open source software paradigm, turned to embrace the approach in the 2010s.From the 1970s through 2000s under CEOs Bill Gates and Steve Ballmer, Microsoft viewed the community creation and sharing of communal code, later to be known as free and open source software, as a threat to its business, and both executives spoke ...
Distributed File System (DFS) is a set of client and server services that allow an organization using Microsoft Windows servers to organize many distributed SMB file shares into a distributed file system. DFS has two components to its service: Location transparency (via the namespace component) and Redundancy (via the file replication component).
When a client wants to write-to/update a file, the master will assign a replica, which will be the primary replica if it is the first modification. The process of writing is composed of two steps: [9] Sending: First, and by far the most important, the client contacts the master to find out which chunk servers hold the data.