Big Data Compete in Real Time Material.pdf

A Material about Big Data Compete in Real Time

1. BIG  DATA
Compete in Real time

2. What is Big Data
Analytics?
Big data analytics is the use of tools and processes to derive insights from
large volumes of data. It uses tools like Hadoop, SAS, R etc which aim at
deriving correlations and conclusions
BENEFITS
                   
                   
              
Cost reduction
Improved decision making
New products & services 
Click here to Read More.

3. Data Streaming
Platforms 
Apache Storm: A real time computation system which reliably processes
unbounded streams of data, just like what Hadoop does in batch processing.
It’s simple and can be used with any programming language.

Apache Kafka: An open-source stream processing platform which is written
in Scala and Java. It has features like scalability, data partitioning, low latency,
and the ability to handle a large number of diverse consumers. 

IBM Infosphere Streams: A computing platform which allows the users to
quickly and continuously ingest, analyze and correlate massive volumes of
data as it arrives from the real-time sources. 

4. Big Data
Processing
Jay Kreps, CEO of Confluent opines that very less
data is batch in nature and that "Data in real life
is not produced when the sun goes up or down -
- when your business is digital data keeps
coming all the time". Thus, it can be deduced
that real-time Big Data Processing is of a great
importance as it helps in identifying significant
events, provides valuable insights and allows you
to respond in right time.

5. Industries using Real-Time
Big Data-Analytics
 OPTIMIZE CUSTOMER SERVICE PROCESS IN A FLOW OF
CONTINUOUS DATA, MAKING LIFE SAVING DECISIONS IN
A SAFE ENVIRONMENT TO RUN THE BUSINESS.
e-Commerce
Social Networks
Healthcare
Fraud Detection 
 

6. Trends to Know 
Big Data
promotes the
rise of more
advanced,
precise and
faster data
analytics in fields
such as health,
IT, finance, etc.
Big data grants
a flexible
analysis of cyber
threats with the
analysis,
classification,
and filtering of
data
Provide reliable,
unbiased and
accurate
assistance,
saving human
efforts
ANALYTICSDATA SECURITY ARTIFICIAL
INTELLIGENCE

7. Risk management
Faster and more
efficient operational
efficiencies
Easy integration of
data and security
Fraud detection and
prevention can be
made easy
Easy customer
segmentation
It is not only
sophisticated and
flexible but also
provides a scalable
architecture to manage
and handle the
valuable IoT data. IoT
will open up new
streams of revenue,
business models &
insights in technology.
SECURE
TRANSACTIONS
INTERNET OF
THINGS (IOT)

8. Big Data
Visualisation Tools
Click Here to know more about these tools
FUSIONCHARTS SUITE XT
QLIKVIEW
WATSON ANALYTICS
TABLEAU
MICROSOFT POWER BI
INFOGRAM

9. Explore More about
Big Data
How Big Data is taking the Travel industry to places
How big data is impacting the healthcare industry
8 keys to make the most of your big data
Top predictive analytics tools your business can use
Reasons your business should consider real-time analytics
How is Big Data impacting Internet Marketing
Hadoop Distribution for Big Data Analytics

10. MANY THANKS
WWW.NEWGENAPPS.COM