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Apple M1 is a series of ARM-based system-on-a-chip (SoC) designed by Apple Inc., launched 2020 to 2022.It is part of the Apple silicon series, as a central processing unit (CPU) and graphics processing unit (GPU) for its Mac desktops and notebooks, and the iPad Pro and iPad Air tablets. [4]
Product activation is a license validation procedure required by some proprietary software programs. Product activation prevents unlimited free use of copied or replicated software. Unactivated software refuses to fully function until it determines whether it is authorized to fully function. Activation allows the software to stop blocking its use.
They are based on the M1 Pro and M1 Max, Apple's first high-end ARM-based systems on a chip and their first professional-focused chips. The new models addressed many criticisms of the Touch Bar MacBook Pro [20] by re-introducing hard function keys in place of the Touch Bar, an HDMI 2.0 port, [21] a full-size SDXC reader and MagSafe 3.0 charging.
The M1 13-inch MacBook Pro was released alongside an updated MacBook Air and Mac Mini as the first generation of Macs with Apple's new line of custom ARM-based Apple silicon processors. [114] This MacBook Pro model retains the same form factor/design and added support for Wi-Fi 6, USB4, and 6K output to run the Pro Display XDR. [115]
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.
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 ...
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.