2. What are big data technologies
Big Data technologies are the technologies which are
used to store analyze and obtain meaningful insights
from the vast trove of data that we have gathered so
that we can draw new insights make new prediction
try out new hypothesis.
3. What Are The application of Big
Data
In the data age companies irrespective of their size are
gathering data from their customers so that they can
serve them better
4. Why You Should Be interested
With the help of bigdata and their advanced predictive
algorithms companies can serve their customers
betterand much more effective than before
5. Changes Big data is going to make
in 2019
Cyber Security.
Machine Learning.
Quantum Computing.
In MemoryTechnology
Predictive Analytics
Edge Computing
internet Of Things
Smart Cities
Egovernance
6. Cyber Security
With big data antivirus companies can antivirus software
and run simulations with existing viruses and even so
once the software is deployed it can counteract with
most in the market
7. Machine learning
Machine learning is a noval method of making a
machine learning from its past expereinces and to use
that expereince to make decisions thereby simulating
human cognition,and big data technologies can help
machine learning algorithms in a big way as we can use
all the accumulated data to better train these
algorithms so they can make better predictions and
decisions so they can help us find answers to questions
which we havent even began asking
8. Quantam Computing
Quantam Computing is the process of using q bits for
computation traditionally we use bits which can be
either0 or 1 but with q bits they can be 0 1 or
something even in between these two since the
qunantamcomputers deal with quantam mechanics
they can perfrom calculations much more efficienltly
faster than a traditional computers according to
sources the quantam computing which google
hahttps://github.com/ajaxorg/ace/wiki/Default-
Keyboard-Shortcutss developed can perform
calcutlaion 100 s of times faster than all the existing
tradition computers
9. In memory Technology
Traditionally we store and retrieve data from
harddrives and ssds and In memeory technology is a
process of bypassing the drives and store the data
directly in our ram which will greatly increase our
processing speed,
10. Edge Computing
n the start we had computers that occupied an entire
building space then we started developing terminals
then came the eve of personal computers now at
present we in the era of cloud computing where several
computers can share a common server for storage
processing etc buteven with thecloud we will have to
depend on a separate computer device for our use but
with edge computing the field of big data technologies
will be greatly benefit as we can process data the
moment its generated at the source itself no need to
depend on a cloud server
11. IOT
Iot the buzzword that has become closely associated
with big data technologies and cloud computing is the
loving child of tech prophets as the idea is to connect
all devices around you from your household toaster to
your smart refrigerators to the cloud,
12. Predictive analytics
Predictive analytics as the name suggests is the act of
making future predictions but here the predictions are
not made by a shaman priest or hindu priest based
after a weird ritual or charade here the prediction are
made by using statistics data mining techniques and
we all know the data spaeaks for itself
13. Smart City
Smart cities are cities which employ an array of sensors
to monitor all the data they generate from traffic
congestion to air pollution levels and use the resources
at their disposal in an efficient manner.
14. Egovernance
Smart cities are cities which employ an array of sensors
to monitor all the data they generate from traffic
congestion to air pollution levels and use the resources
at their disposal in an efficient manner.