LIS Links

First and Largest Academic Social Network of LIS Professionals in India

Latest Activity

Dr. N. Kadiresan left a comment for Dr. Badan Barman
10 hours ago
Chavda Jitendra Kumar Ambalal updated their profile
yesterday
Chavda Jitendra Kumar Ambalal joined Dr. Badan Barman's group
yesterday
Chavda Jitendra Kumar Ambalal joined Dr. Badan Barman's group
yesterday
Jeffrey Epstein commented on Jeffrey Epstein's album
Friday
Jeffrey Epstein commented on Jeffrey Epstein's album
Friday
S RAVI posted a status
""Call for Chapter Contribution in Editorial Book…"
Friday
S RAVI posted a status
Friday
S RAVI posted a status
"Call for Chapter Contribution in Editorial Book "Introduction to Metrics Studies" https://drive.google.com/drive/home"
Friday
Jeffrey Epstein commented on Jeffrey Epstein's album
Friday
LAITHANGBAM NEPOLEAN SINGH is attending Dr. U. PRAMANATHAN's event
Wednesday
SHWETHA KV updated their profile
Wednesday
Dr. Tarvinder Singh Handa updated their profile
Wednesday
RP Raaj updated their profile
Wednesday
LAITHANGBAM NEPOLEAN SINGH is attending Dr. A. Madhava Rao's event

Online-Lecture on "AI Tools for Academic Research Writing and Publishing" at Microsoft Teams (Online)

August 4, 2025 from 2pm to 4pm
Tuesday
Misbah Ul Huda is attending Dr. A. Madhava Rao's event

Online-Lecture on "AI Tools for Academic Research Writing and Publishing" at Microsoft Teams (Online)

August 4, 2025 from 2pm to 4pm
Jul 28
Dr. N. Kadiresan updated their profile
Jul 28
Mukesh Baboo updated their profile
Jul 28
Abdur Rouf B updated their profile
Jul 28
Archanagita Saikia updated their profile
Jul 26

Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. .

‘Big Data’ Bigger Share of Librarians in terms of assignment, opportunities, and role to be played in handling the data, as an evaluator, curator, and much more.

regards,

Munesh Kumar

Views: 982

Reply to This

Replies to This Forum

It is really an interesting discussion found in this forum. While the level of our LIS research is low, this kind of discussion really induces high level quality research. Big data offers much promise in the recent data mining research. Large datasets get mined using powerful algorithms and statistical techniques. If LIS people take initiatives in mining large scale datasets using conceptual understanding and preferential mining, it is useful.

Saba

Thank you very much Madam...for your initiation toward this post.... In changing dimension of research activities which is galloping with the technology....is bringing so many opportunities for the LIS professionals...But have to cultivate and generate some skills which is required for pacing up with these changes. 

Dear Professoinal

Please find out the top open source big data tools

Dear professional

There are many tools are available freely for this activities...Hadoop is very much new and taking place rapidly among the research communities...and also ElcoMaster™ 2.0 is popular one. 

Top Open Source BIG Data Tools

1.Apache Hadoop 2.Apache Kafka 3.Talend 4.MongoDB 5.Hypertable Tool 6. Apache HBase 7. Big Data Tool 8. Pentaho

Thank you Sir,

for giving the list of top Big Data Tools

regard...

Munesh Kumar

Dear Mukesh,

Please explain I'm not able to understand yours valuable discussion. 

Regards

Manavta Jugeshh

Ma'am

just I raised this matter here, among us.

In order to explanation...

"The Information industry is now being experienced with the new concept called Big Data, which is nothing but the huge data set, growing faster with the time. This concept belongs to research, academics, business, manufacturing and processing industries primarily. On the behalf of the data set, the world will become more accurate in answering a query regarding business query and prediction can be make easily. In this scenario the Library Science professionals will get benefit because of having a firm relationship with academics and research activities and being familiar, knowledeous and experts of Library Sciences oriented skills; knowledge organization, knowledge of metric(s) and etc., will give the good reward in this regard. Although librarians are not data originator here but are contributors of signs, meaning to a particular data set, and analyzer of trends. By this way, hope is there with challenging assignments; but has to pace with the technological development and advanced knowledge(s) of organizing the resources in e-environment. Librarians are major role player in academic hence in big data also."

regards...

Munesh Kumar

Thanks Munesh

regards

Manavta Jugeshh

...great pleasure ma'am

Good job Menesh...I am very happy to see your new post...

Bigdata processing is possible only with newer mining techniques. Equally important is the conceptual clarification and understanding of the themes. Also we need deploy algorithms to process such bigdata. Deploying of the tools with some data alone is inadequate. This happens in Scientometrics Research in India. People just use different types of datasets with known techniques and with same kind of inferences. Deploying of new mining techniques and with sound inferencing will really promote. I am really happy that this kind of discussion is being initiated in this forum. 

Saba Sarasvady

RSS

© 2025   Created by Dr. Badan Barman.   Powered by

Badges  |  Report an Issue  |  Terms of Service

Koha Workshop