Free Articles, Free Web Content, Reprint Articles
Tuesday, February 19, 2019
 
Free Articles, Free Web Content, Reprint ArticlesRegisterAll CategoriesTop AuthorsSubmit Article (Article Submission)ContactSubscribe Free Articles, Free Web Content, Reprint Articles
 

The connection between data in Hadoop and advanced analytics

It is undeniable that a massive amount of data (read: multi-structured data) can be stored in Apache Hadoop. However, when it comes to unlocking so much data, business analysts are often seen looking for easy ways to do the needful.

Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

It is undeniable that a massive amount of data (read: multi-structured data) can be stored in Apache Hadoop. However, when it comes to unlocking so much data, business analysts are often seen looking for easy ways to do the needful. Perhaps without any relevant programing skills, they find it difficult to analyze the data and transform it into business insights. Not to mention, at times, even the lack of distributed processing skills can act as an obstacle when they are looking forward to have their way with advanced analytics. Nevertheless, in either of these situations, what is required is a solution that can come in handy when the business analysts try to access the data in Hadoop in a more direct manner.

Interestingly, there are quite a few solutions that can serve the purpose and help the analysts in deriving business insights. However, in order to identify the right one, they may want to crosscheck if all or at least some of the following requirements are being duly met:

  • Ease of usage: Most of the times, business analysts have no option but to rely on Hadoop MapReduce jobs, which by all means, are complex as far as their development is concerned. As a matter of fact, until data scientists leverage their expertise and put their understanding of procedural programming to use, developing these jobs can be extremely challenging. Therefore, it is imperative that only an easy-to-use solution is used especially if the complexity is to be avoided.

  • Not so high latency: In fact, the lower the better as any delay is likely to have an impact on the insights that need to be derived through the means of data. Furthermore, if possible, then the analysts must specifically look for a solution that allows them to make the most of their existing business intelligence (read: BI) tools. Of course, if they also get to take advantage of the SQL-MapReduce functions, then probably it canít get better than this.

However, the question remains that why exactly is such a solution required in the first place? As already mentioned, the Hadoop MapReduce jobs can be quite complex to deal with (read: develop). Here, it is worth mentioning that these jobs play an important role when it comes to processing the data that is stored in the Hadoop Distributed File System (HDFS). And obviously, until this data is processed in batch modeArticle Search, it can be difficult to go any further with advanced analytics.

Source: Free Articles from ArticlesFactory.com

ABOUT THE AUTHOR


Andy Robert is an experienced content writer working with technical firm and write about business analytics. If you want to know more about hadoop distributed file system then please Click Here.



Health
Business
Finance
Travel
Technology
Home Repair
Computers
Marketing
Autos
Family
Entertainment
Law
Education
Communication
Other
Sports
ECommerce
Home Business
Self Help
Internet
Partners


Page loaded in 0.040 seconds