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Lynda – Data Analysis on Hadoop

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Lynda - Data Analysis on Hadoop
Lynda - Data Analysis on Hadoop
Size: 9.41 GB | Duration: 0h 41m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Hadoop is the cloud computing platform data scientists use to perform highly parallelized operations on big data. If you've explored Hadoop, you've probably discovered it has many levels of complexity. After getting comfortable with the fundamentals, you're ready to see how to put additional frameworks and tool sets to use. In this course, software engineer and data scientist Jack Dintruff goes beyond the basic capabilities of Hadoop. He demonstrates hands-on, project-based, practical skills for analyzing data, including how to use Pig to analyze large datasets and how to use Hive to manage large datasets in distributed storage. Learn how to configure the Hadoop distributed file system (HDFS), perform processing and ingestion using MapReduce, copy data from cluster to cluster, create data summarizations, and compose queries.

Topics include:
* Setting up and administrating clusters
* Ingesting data
* Working with MapReduce, YARN, Pig, and Hive
* Selecting and aggregating large datasets
* Defining limits, unions, filters, and joins
* Writing custom user-defined functions (UDFs)
* Creating queries and lookups
Lynda - Data Analysis on Hadoop
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  1. Lynda - Hadoop数据分析 Hadoop是科学家用来在大数据方面执行高度并行操作的云计算平台。如果你使用过Hadoop,你可能已经发现其具有多方面的复杂性。在掌握了其基础知识后,你准备好了学习如何将额外的框架和工具置于实际应用。在本教程中,软件工程师和数据科学家Jack Dintruff所讲解的内容不再是基本的Hadoop内容。他会讲解用于分析数据的实用的,基于项目的使用技巧,包括如何使用Pig分析大数据集以及如何在分布式存储中使用Hive管理大数据集。学习如何配置Hadoop分布式文件系统,使用MapReduce执行处理和采集,从集群中复制数据,创建数据摘要以及组织查询。 主要内容:建立和管理集群;采集数据;处理MapReduce,YARN、Pig以及Hive;选择和汇集大数据集;定义限制、联合、过滤以及交集;编写自定义用户定义的函数;创建查询和检索。
    wilde(特殊组-翻译)9个月前 (06-25)
  2. 41分钟视频 9个G的容量?
    aimms9个月前 (06-25)