This document presents a PPT on the application of big data technologies in healthcare and biomedical research. Large amounts of data are generated in these sectors from techniques like genome sequencing and health records. Big data applications are useful for managing this patient data across clinical informatics, imaging, public health, and bioinformatics. Specifically, technologies like Hadoop have helped address challenges of storing and accessing vast amounts of clinical information for research. The PPT discusses how literature reviews demonstrate big data's efficacy in areas like cloud computing and clinical informatics data management.

1. PPT ON ARTICLE Big Data
Presented by : Baljeet Kaur ( 44867)
Agampreet Garewal (45331)
Yogesh Kumar (45046)

2. Introduction
• The article has focused on the application of big data technologies
that are being used widely in the informatics research of the
health-care and biomedical sector. In both the sectors a large
amount of data is generated on a regular basis and management of
big data is essential for the two sector
• The new generation sequencing techniques and application of the
health records are presented through the huge data that are
produced through the research
• The application of big data is useful in four definite sub disciplines
that include clinical informatics, imaging informatics, informatics
of public health, bioinformatics
• The huge amount of patient data can be easily managed by the big
data application. The article has focused mainly on the key aspects
of big data application and the research that are associated with the
topic

3. Background
• In the platform of biomedical informatics the big data application
has introduced a new paradigm. Management of the huge clinical
data has been simplified by the implementation of the application
in the clinical sector (Luo et al. 2016)
• Technologies of big data
• The challenges that are faced by the biomedical scientists
regarding the management of the clinical data have enhanced the
need of big data application as an essential tool
• One of the main technologies that have been invented for the
management of the huge clinical data is the Hadoop Distributed
File System that supports the accession of the concurrent data
towards the clustered machines (Luo et al. 2016)

4. Research method
• The literature search has helped in collection of the related
articles have been applied for the literature review. Popular
research database have been taken into account to gather the
relevant information about the topic
• Four databases have been referred those are ScienceDirect,
Springer, PubMed, Scopus. In the searching procedure the
keywords have played efficient roles
• The keywords that have been helpful in the search operation are
‘big data’, ‘biomedical’, ‘healthcare’. A huge number of articles
have been gathered through the search method (Luo et al. 2016).
Among them the relevant articles have been sorted out that are
most related with the topic of the research

5. Discussion
• From the Keyword based research the desired article has been
chosen for conducting the literature review. In the literature
review the applications of the clinical informatics have been
focused
• The efficacy of cloud computing and big data application in the
management of the huge clinical information has been clearly
demonstrated in the article
• The deployment of the platform integration has also been
focused in the article. The article has produced a clear idea
about the efficacy of the big data application in clinical
informatics.

6. Conclusion
• Medical research has been rapidly advanced in recent years.
With the increasing development of medical research a huge
amount of data has been accumulated
• Proper management of the data is essential for treatment and
research purposes
• The article has discussed the functionality of big data
application in the management of huge clinical data