It has been 10 years
since Hadoop first disrupted the Big Data world, but many are still unaware of
how much this technology has changed the data analysis scene. The
tiny toy elephant in the big data room has become the most popular big data
solution across the globe.It is critical that you understand, what Hadoop is,
Here we limit ourselves to the five essential, characteristic features of Big
Data :
The amount of data
: As the word suggests, big data is initially a
"large" amount of data ("volume"). Because data
represents a small portion of reality, the more data is available, the more
complete is the picture we can take of reality.
The Data Variety
: Big Data usually consists of a variety
of data types and extremely complex data sets ("Variety") - this makes contexts
and patterns recognizable. The challenge is often to bring the data together in
a meaningful relationship.
The processing speed
: In addition to the amount of data and the variety of data, the rapid
availability of results is becoming increasingly important. With a
corresponding processing speed
("Velocity"), which is ensured by many hundreds of parallel
processors, results are available in part in real time. If only conventional
computers were at work, it would take days or even weeks for analysis results
to be available. The findings would then be largely useless.
Data needs to be
variable : data is sometimes generated extremely quickly - the turbine of a
wind power plant or an aircraft, which is monitored by sensors, delivers up to
15 terabytes of raw and sensor data per hour. The relevance of the information
that can be derived from this data, however, expires over time (" variability
"). Therefore, data must be changeable or constantly updated to remain
relevant.
The Data
Visualization : At the end of the day must be interpreted data and
translated into meaningful action plans. An appealing, clear and
understanding-enhancing data visualization is a central success factor for big
data projects.
Companies are beginning to understand how data collection
and analysis processes are crucial to making better business decisions.
However, there are a multitude of technologies and concepts that make it very
difficult to start in this new paradigm. Therefore, this course is designed to
convey the concepts, processes, and tools that professionals need to master in
order to succeed in the Big Data world. At the end of this course you will be
able to identify Big Data problems and describe and implement solutions such as
existing technologies.
IT is an expanding field where technology continues to
change and data continues to increase. The data soon becomes Big Data and
becomes increasingly complex not only to store, but also to manage this
voluminous amount of stacking data. The Big Data
Hadoop Training In Bangalore Program transforms you into a qualified Hadoop Developer.
In the process of learning you will be guided in how data
scientists apply the important concepts and techniques such as Map-Reduce that
are used to solve basal problems in big data.
You'll feel empowered after taking Big
Data Hadoop Training In Bangalore .