USES OF DATA ANALYTICS IN REAL TIME-converted
                     DATA ANALYTICS
COURSE  USEFUL IN 
Data analysis is at the center of innovation in today's industries. Data is generated everywhere,
Rall thEe timAe. DLata  sTtreaImsM haveE infiltrated and data analysis provides the key to discovering the  
benefits. Most large companies today have analytical data at the forefront of their decisions and  
policies. Data analysis helps make accurate market forecasts, analyze current trends, and stay  
one step ahead of the competition.
Customers are the primary consideration for any business. The data generated by interactions  
with consumers helps companies to be more responsive. Data analysis has made all kinds of  
data accessible and valuable. In these technology-driven times, the potential for data analysis  will 
surely grow.
SOME SIGNIFICANT APPLICATIONS OF DATA ANALYSIS
Manufacturing: Estimates of production and consumption practices are accurate by analyzing the  
data. This reduces human error and helps the manufacturer meet production demand. The
supply chain is also managed by tracking shipments and recording the information received.  Data 
analysis provides intuitive insight into work machine efficiency and production practices.
Health: Data analysis has huge application in the health care industry. This technology can be  
used to deliver accurate patient traffic at any time, thereby improving staff efficiency. 94% of  
hospitals in the United States use the EHR to keep records of a specific patient, including past  
diagnoses, allergies, in a file that can be viewed and edited securely. Data analysis can also  
provide a physician with real-time monitoring of a patient's health.
IOT-IOT refers to a technology that interconnects multiple physical devices to work in correlation.  
The IoT generates data analysis. When used together, data analysis can provide valuable  
information to improve functional efficiency.
Media: Social media and advertising media are among the largest generators of data analysis.  
Data analytics works with the transmission of data from various multimedia platforms and  
provides the best strategies to monetize content, best ad placement, and optimize the service to  
satisfy a target audience.
In addition to the industries mentioned above, the scope of data analysis extends to government  
agencies, cybercrime and cybersecurity, scientific research, technical innovations, business  
analytics, and more.
HADOOP IN DATA ANALYSIS
Hadoop provides a framework for managing data analysis. It is one of the most popular open  
source tools used to manage data analysis today. Hadoop uses distributed data warehousing as  
well as replication copies to manage fault tolerance. It operates on two levels, the master and the  
slave. The slave processes the data and transmits the results to the master, which integrates  
various inputs to give the final result.
The three main problems encountered by data analysis are data volume, heterogeneous data  
input flow (unstructured data), and speed of software data processing. For this, Hadoop uses two  
main tools, HDFS and YARN. HDFS is used for distributed storage and THREAD to improve  
processing speed. Hadoop technology comes from Google and is the best on the market.
RESOURCE BOX
Data analysis is a constantly evolving field. It is essential to follow its latest technical
developments. Data analysis training provides structured courses to learn Hadoop and other  
tools used in data analysis management.
● Click here to know more about data analytics course
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Address: 360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
Level 16, 1 Sentral,, Jalan Stesen Sentral 5,, KL Sentral,KL Sentral 50470 Kuala Lumpur,
Malaysia
phone no: 011-3799 1378
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