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macOS Monterey is the final version of macOS that supports the 2015–2017 MacBook Air, Retina MacBook Pro, 2014 Mac Mini, 2015 iMac and cylindrical Mac Pro, as its successor, macOS Ventura, drops support for those models. It is the last version of macOS that can run on Macs with 4GB of RAM.
The history of macOS, Apple's current Mac operating system formerly named Mac OS X until 2011 and then OS X until 2016, began with the company's project to replace its "classic" Mac OS. That system, up to and including its final release Mac OS 9 , was a direct descendant of the operating system Apple had used in its Mac computers since their ...
Hive supports extending the UDF set to handle use cases not supported by built-in functions. SQL-like queries (HiveQL), which are implicitly converted into MapReduce or Tez, or Spark jobs. By default, Hive stores metadata in an embedded Apache Derby database, and other client/server databases like MySQL can optionally be used. [12]
As a terminal emulator, the application provides text-based access to the operating system, in contrast to the mostly graphical nature of the user experience of macOS, by providing a command-line interface to the operating system when used in conjunction with a Unix shell, such as zsh (the default interactive shell since macOS Catalina [3]). [4]
Apple has also removed all 32-bit-only apps from the Mac App Store. [33] Z shell (executable "zsh") is the default login shell and interactive shell in macOS Catalina, [34] replacing Bash, the default shell since Mac OS X Panther in 2003. [35] Bash continues to be available in macOS Catalina, along with other shells such as csh/tcsh and ksh.
Impala is integrated with Hadoop to use the same file and data formats, metadata, security and resource management frameworks used by MapReduce, Apache Hive, Apache Pig and other Hadoop software. Impala is promoted for analysts and data scientists to perform analytics on data stored in Hadoop via SQL or business intelligence tools. The result ...
Hue is an open-source SQL Assistant for querying Databases & Data Warehouses and collaborating. Its goal is to make self service data querying more widespread in organizations.
[11] [12] This allowed Hive to build its devices using the Honeycomb platform developed by AlertMe, which facilitates the capability for users to control all their smart home devices through an app. [11] [13] This meant Hive could more closely compete with similar platforms used by rivals such as HomeKit, Project Brillo and Nest Labs. [1] [14]