Learn Apache Server Guide 2021 на пк
Опубликовано Saqib Masood
- Совместимость: Требуется Windows XP, Vista, 7, 8, 8.1 и Windows 10
- Категория: Education
- Лицензия: 179,00 ₽
- Язык: Pусский
- Последнее обновление: 2021-07-03
- Размер файла: 62.37 MB
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Опубликовано Saqib Masood
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1. Spark was introduced by Apache Software Foundation for speeding up the Hadoop computational computing software process.
2. • Speed − Spark helps to run an application in a Hadoop cluster, up to 100 times faster in memory, and 10 times faster when running on disk.
3. The main feature of Spark is its in-memory cluster computing that increases the processing speed of an application.
4. Since Spark has its own cluster management computation, it uses Hadoop for storage purpose only.
5. Apache Spark is a lightning-fast cluster computing technology, designed for fast computation.
6. As against a common belief, Spark is not a modified version of Hadoop and is not, really, dependent on Hadoop because it has its own cluster management.
7. It was donated to Apache software foundation in 2013, and now Apache Spark has become a top level Apache project from Feb-2014.
8. Spark uses Hadoop in two ways – one is storage and second is processing.
9. Spark is designed to cover a wide range of workloads such as batch applications, iterative algorithms, interactive queries and streaming.
10. It is based on Hadoop MapReduce and it extends the MapReduce model to efficiently use it for more types of computations, which includes interactive queries and stream processing.
11. The reason is that Hadoop framework is based on a simple programming model (MapReduce) and it enables a computing solution that is scalable, flexible, fault-tolerant and cost effective.
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