Our Mission in 2015
·
About Gaming
Industry:-
5 Surprising Stats about Mobile Gaming in 2014
If you have
looked at any mobile gaming statistics in the past decade, then you’ve seen
just a fraction of how lucrative publishing video games for smartphone and tablets
can be. In 2014, while console
gaming is still extremely popular, the explosive potential for the mobile
gaming industry is as promising as ever…. but you might be surprised
by what else the data is telling us.
1. The mobile gaming market is predicted to double
by 2016.
It’s no
surprise that experts predict the fastest growing video game market will
continue to experience expansive growth in the near future. On a global scale,
it is estimated that the mobile games industry will reach $23.9
billion in revenue in just two years. With more people playing mobile games
than ever before, and a greater willingness from players to spend money on
those games, it’s no wonder the projected industry growth rate is over 27% per
year.
2. Tablets are becoming increasingly popular gaming
devices.
Smartphones
have previously dominated the mobile gaming arena largely because more people
own them compared to tablets. But new data suggests that tablets are rapidly
gaining popularity as viable gaming devices. By 2016, tablet
games revenue will grow by 400% and reach $10 billion. Better hardware and
larger screens are certainly more conducive to a wider variety of games and a
better overall gaming experience compared to many smartphones. Don’t count your
iPhone or Android phone out though, smartphone revenue is expected to grow as
well by 18.8%.
3. Asia Pacific is the biggest mobile games market
in the world.
While Western
Europeans spend the most money on mobile gaming per person, Asia Pacific is the
biggest
mobile games market worldwide, boasting almost $6 billion in revenue per
year and controls approximately 48% of the global revenue. Asia Pacific, North
America, and Western Europe are predicted to remain the most appealing markets
for mobile game developers in the years to come.
4. Android is the dominant device worldwide.
From a national
perspective, the United States loves its iPhones. Apple devices are more
popular than Android and control the majority of the market share at 54%. If
you take a broader look however, Android is king
on the worldwide scale. In fact, North America is the only region where
Apple is beating out Android.
5. Even console and PC loyalists play mobile
games.
Video game
enthusiasts whether hardcore or casual, are typically non-exclusive when it comes
to playing video games on dedicated gaming devices or mobile devices – they
often do both. Among American
households that own a gaming console or dedicated PC, 53% play games on
their smartphones as well. Already 966 million, or 78% of all 1.2 billion
gamers play mobile games worldwide and that number is expected to grow. In
addition, gamers who are playing more video games than they did three years ago
are spending less time watching TV, going to the movies, and watching movies at
home.
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- A different development platform: ----
What is Ruby?
Before we ride on Rails, let's know a little bit about Ruby which
is the base of Rails.
Ruby is the successful combination of:
- Smalltalk's conceptual
elegance,
- Python's ease of use and
learning, and
- Perl's pragmatism
Ruby is
- A High Level Programming
Language
- Interpreted like Perl,
Python, Tcl/TK.
- Object-Oriented Like
Smalltalk, Eiffel, Ada, Java.
- Originated in Japan and
Rapidly Gaining Mindshare in US and Europe.
Why Ruby?
Ruby is becoming popular exponentially in Japan and now in US and
Europe as well. Following are greatest factors:
- Easy to learn
- Open source (very liberal
license)
- Rich libraries
- Very easy to extend
- Truly Object-Oriented
- Less Coding with fewer
bugs
- Helpful community
Why Not Ruby?
- Performance - Although it
rivals Perl and Python.
- Threading model does not
use native threads.
What is Rails
- An extremely productive
web-application framework.
- Written in Ruby by David
Heinemeier Hansson.
- You could develop a web
application at least ten times faster with Rails than you could with a
typical Java framework.
- An open source Ruby
framework for developing database-backed web applications.
- Your code and database
schema are the configuration!
- No compilation phase
required.
Full Stack Framework
- Includes everything needed
to create a database-driven web application using the
Model-View-Controller pattern.
- Being a full-stack
framework means that all layers are built to work seamlessly together Less
Code.
- Requires fewer total lines
of code than other frameworks spend setting up their XML configuration
files.
Convention over Configuration
- Rails shun configuration
files in favor of conventions, reflection and dynamic run-time extensions.
Your application code and your running database already contain everything
that Rails needs to know!
Rails Strengths:
Rails are packed with features that make you more productive, with
many of the following features building on one other.
Metaprogramming: Other frameworks use extensive code generation from
scratch. Metaprogramming techniques use programs to write programs. Ruby is one
of the best languages for metaprogramming, and Rails uses this capability well.
Rails also uses code generation but relies much more on metaprogramming for the
heavy lifting.
Active Record: Rails introduces
the Active Record framework, which saves objects to the database. The Rails
version of Active Record discovers the columns in a database schema and
automatically attaches them to your domain objects using metaprogramming.
Convention over configuration: Most web
development frameworks for .NET or Java force you to write pages of
configuration code. If you follow suggested naming conventions, Rails doesn't
need much configuration.
Scaffolding: You often create temporary code in the early stages of
development to help get an application up quickly and see how major components
work together. Rails automatically create much of the scaffolding you'll need.
Built-in testing: Rails creates
simple automated tests you can then extend. Rails also provide supporting code
called harnesses and fixtures that make test cases easier to write and run.
Ruby can then execute all your automated tests with the rake utility.
Three environments: Rails gives you three default environments: development,
testing, and production. Each behaves slightly differently, making your entire
software development cycle easier. For example, Rails creates a fresh copy of
the Test database for each test run.
- We are going to put our foots in distributive computing….
What is Hadoop?
Apache Hadoop is an open source software project
that enables the distributed processing of large data sets across clusters of
commodity servers. It is designed to scale up from a single server to thousands
of machines, with a very high degree of fault tolerance. Rather than relying on
high-end hardware, the resiliency of these clusters comes from the software’s
ability to detect and handle failures at the application layer.
What is hadoop?
Hadoop is defined in 3 minutes with Rafael Coss, manager Big Data Enablement for IBM.
Hadoop is defined in 3 minutes with Rafael Coss, manager Big Data Enablement for IBM.
High-level
architecture
Apache Hadoop has two pillars:
·
YARN - Yet Another Resource Negotiator (YARN)
assigns CPU, memory, and storage to applications running on a Hadoop cluster.
The first generation of Hadoop could only run MapReduce applications. YARN
enables other application frameworks (like Spark) to run on Hadoop as well,
which opens up a wealth of possibilities.
- HDFS - Hadoop Distributed File System
(HDFS) is a file system that spans all the nodes in a Hadoop cluster for
data storage. It links together the file systems on many local nodes to
make them into one big file system.
- Hadoop is supplemented by
an ecosystem of Apache projects, such as Pig, Hive and Zookeeper, that extend the value of Hadoop and
improves its usability.
So what’s the big
deal?
Hadoop changes the economics and the dynamics of large scale
computing. Its impact can be boiled down to four salient characteristics.
Hadoop enables a
computing solution that is:
- Scalable– New nodes can be added as
needed and added without needing to change data formats, how data is
loaded, how jobs are written, or the applications on top.
- Cost
effective– Hadoop brings massively parallel computing
to commodity servers. The result is a sizeable decrease in the cost per
terabyte of storage, which in turn makes it affordable to model all your
data.
- Flexible– Hadoop is schema-less, and
can absorb any type of data, structured or not, from any number of
sources. Data from multiple sources can be joined and aggregated in
arbitrary ways enabling deeper analyses than any one system can provide.
- Fault
tolerant– When you lose a node, the system redirects
work to another location of the data and continues processing without
missing a fright beat.
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