未加星标

Hadoop is dead, long live Hadoop!

字体大小 | |
[数据库(综合) 所属分类 数据库(综合) | 发布者 店小二04 | 时间 2016 | 作者 红领巾 ] 0人收藏点击收藏

This year, we are celebrating the 10 th anniversary of Hadoop. In 2006, we lived in the dark ages of data:Several databases were old news and a single Gartner analyst was covering them all. Today, a whole team of Gartner database analysts could barely handle all the new options.

In summer 2009, baby-elephant Hadoop made its first steps: a Hadoop distribution was introduced by an unknown startup Cloudera. HDFS and MapReduce became top level Apache projects. Ominously,this very summer of 2009, a CRM icon Tom Siebel was trampled by a charging elephant during an African safari. We didn’t know back then that the Era of CRM came to itsend, and the Era of Data began.

Hadoop revealed to the world the power of data. It evangelized the idea of distributed computing and massively-parallel processing. It brought compute to the data, rather than brining data to compute. It was the center of a quickly growing open source community and a vibrant ecosystem.

Hadoop was a move from a single product to a stack of many components. It demonstrated that you could apply different components to the same data stored in HDFS, and you could interpret this data differently. For example, your company can use log files to detect cyberattacks, to analyze customer behavior and to monitor data center operations. The ecosystem participants could also access the data in HDFS and apply its products.

The number of Hadoop components kept growing, and the confusion on what to use when was growing too. In 2013, an article “Dear Gartner, you are wrong” described the merits of Hadoop. I was an epitome of Gartner in this article, for pointing out in a blog post that Hadoop was falling into the trough of disillusionment.

In 2014, Spark became a top level Apache project. Its creators learned the lessons of the Hadoop ecosystem and delivered an easy-to-use, general purpose analytical platform. The same people who were saying “Gartner, you are wrong,” changed their stance. They were proclaiming: Hadoop is hard, MapReduce is legacy, Spark is the way to go.

Spark turned the attention of the Hadoop ecosystem from data to analytics. HDFS was storage, and Spark was compute on this storage. Spark reduced Hadoop to HDFS and YARN. Spark could also use storage, like Cassandra, and Mesos, and RDBMSs. Multiple compute workloads required to scale storage and compute independently. This was exactly what cloud vendors were in the perfect position to do. Moreover, they could provide compute on the storage: through their own offerings and through their marketplaces. The main storage in the cloud was object storage, not HDFS.

Cloud vendors jumped on the idea of data lakes, which thrives on separation of compute and storage. But many people argued that successful decoupling of storage and compute depends on eliminating or minimizing performance degradation compared to the coupled workloads. Nowadays, infrastructure can meet most performance goals: more memory and better memory, new algorithms for storing data, getting smarter about caching on the compute side. Networks are reaching the levels that allow customers read terabytes of data in seconds directly from storage.

Recently, “Hadoop” disappeared from the names of the platforms offered by the Hadoop distribution vendors, and even the greatest advocate of data lakes Hortonworks stopped talking about the lakes. Maybe, because data lakes started evaporating to the cloud?

Hadoop will definitely survive way beyond its 10-year anniversary, like CRM did. Distributed computing and massively parallel processing popularized by Hadoop will be prevail. But newer technologies and the rise of the cloud will change Hadoop to something else. Hadoop is dead, long live Hadoop!

Follow Svetlana on Twitter @Sve_Sic

Category: big-data-market cassandra cloud hadoop information-everywhere open-source

Tags: big-data cloud cloudera gartner-predicts hadoop hadoop-distribution information-everywhere market-analysis

本文数据库(综合)相关术语:系统安全软件

主题: HadoopHDFSSparkCRMMapReduceCassandraTwitter
分页:12
转载请注明
本文标题:Hadoop is dead, long live Hadoop!
本站链接:http://www.codesec.net/view/480257.html
分享请点击:


1.凡CodeSecTeam转载的文章,均出自其它媒体或其他官网介绍,目的在于传递更多的信息,并不代表本站赞同其观点和其真实性负责;
2.转载的文章仅代表原创作者观点,与本站无关。其原创性以及文中陈述文字和内容未经本站证实,本站对该文以及其中全部或者部分内容、文字的真实性、完整性、及时性,不作出任何保证或承若;
3.如本站转载稿涉及版权等问题,请作者及时联系本站,我们会及时处理。
登录后可拥有收藏文章、关注作者等权限...
技术大类 技术大类 | 数据库(综合) | 评论(0) | 阅读(33)