Impact and Scope of Big Data

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Highlights

• Prominent player in Internet of Things and Data
  solutions
• Strong presence in North America, and the
  Asia-Pacific region
• We help SMEs to Fortune 500 firms take advantage
  of the latest technologies

About Dash Technologies
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Dash Offerings
THE ONE-STOP SHOP FOR ALL YOUR IT NEEDS
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Digital Marketing Services
END-TO-END DIGITAL SERVICES FOR YOUR BUSINESS
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Dash Mobile Services
END-TO-END SERVICES WHEN IT COMES TO MOBILITY
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Technologies we work on
WE DONT WORK ON EVERY TECHNOLOGY UNDER THE SUN,
BUT WE COME PRETTY CLOSE
and of course, more
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Full-Stack Emerging-Tech
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Full-Stack Technology Capabilities
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Impact and scope of Big data

• Can you imagine how much data we create on daily
  basis? Just take into count a normal routine day,
  starting from your wake up time, where you work,
  and when you come back, relax and sleep. This
  cycle that seems unavoidable and very regular
  generates gigabytes of
• data that almost none pays attention to.
• One wakes up and begins with checking for new
  emails and their social media profiles for latest
  updates. One shares or hires a taxi to his
  workplace. Going online during the travel and
  browsing video hosting websites like Netflix,
  YouTube or other on the move.
• Reach your work place and punch your card on the
  attendance machine, pick a conversation about
  vacations destinations. Coming home right away
  you check out for holidays packages online. You
  come across your colleague buying a brand-new
  watch, and again you go online to check for new
  deals, and create your wish list to buy later.
  Now you start feeling hungry, and make an order
  for food online. By the time your food arrives
  you check balance in your bank account and make a
  booking online for a movie ticket at the weekend
  and the list continues.
• Individually we generate huge amounts of
  data every single day.

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• As mentioned earlier on how data has become an
  essential part of our everyday routines, and now
  you would wonder how companies use these to
  provide countless services all focused on
  consumers.
• Big data is an enormous of amount of data that is
  generated by linked technologies. It is nothing
  but a huge pile of unstructured, semi-structured
  and structured data that is used to examine to
  acquire valuable informations regarding business
  developments. Big data is a tool that makes
  operations, marketing and advertising efforts
  more productive as defined by the business
  world.
• At present a budding term, big data is explained
  as a large quantity of raw data with a potential
  to advanced analytical applications. Big data is
  mostly characterized by the 3Vs namely the
  tremendous volume of data information, the
  extensive variety of data types available and
  the velocity at what the data need to be
  processed.
• Big data covers a large mixture of data types,
  including unstructured data, like text and
  document files kept in NoSQL, systems or Hadoop
  clusters, and semi-structured data, as in web
  server logs or streaming data from sensors, and
  structured data as in data warehouses
  and SQL databases. Furthermore, big data even
  comprises of multiple and synchronized data
  resources that may yet to be integrated. Lets
  take for example if a big data analytics project
  is attempting to estimate a products success and
  future sales prospects as done by comparing the
  past sales data, sales return data and online
  buyer review data of that product.

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Scope of Big data and Trends Expected

• Generally big data environments exceed both
  relational databases and traditional data
  warehouses to integrate technologies that are
  suitable for processing and storing
  non-exchangeable forms of data. The growing
  attention on accumulating and scrutinizing big
  data is determining a new platform that merges
  the traditional data warehouse along with big
  data structures in a logical data warehousing
  architecture. As an element of the decision
  process, it is required to divide the data based
  on the requirement for compliance reasons, how
  much data should be disposed of and how much data
  should be kept and analyzed with the aim of
  improving existing business processes and giving
  the business a competitive edge. Hence the
  decision process needs cautious  classification of
  data so that finally small sets of data can be
  examined quickly and effectively.
• Today organizations may it be big or small are
  becoming more and more aware of the importance of
  data and the total impact it can have on to
  organizations. So the organizations are starting
  to invest in Big Data, and its related
  technologies to make up to date decisions.
  Starting from optimizing workflow and
  supply-chain management systems to enhancing
  consumer experiences and keeping up with
  depletion, companies are choosing to analyzed
  data for every decision. In reality, a matter as
  simple as purchasing a coffee machine for the
  cafeteria is even data-driven. For all these
  reasons, it is ensured that the future of Big
  Data appears to be strong and unquestionable.

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Scope of Big data and Trends Expected

• Dark Data
• As foreseen the primary occurrences of big data
  future trends is the surfacing of dark data. Now
  it is a well-known reality that the combination
  of digital data and its performance during the
  analytics has been gathering gigantic rewards to
  businesses and their brands throughout the world.
  To match this technology in the future, dark data
  will pave its way further and symbolize the
  future of big data in future years or may be
  months.
• Simply said, dark data denotes the data collected
  from non-digital sources along with digital data
  thats been degraded due to its value by
  analytics experts. The data sets are generally
  untouched, unstructured and unaccounted and are
  even referred to as dusty data. The Big Data
  future scope forecasts that such data sets will
  gain attention by this year and this will
  additionally revolutionize the technology to
  advance.

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New Job Roles

• With the increasing complexity in technology and
  its incorporation with other technologies, the
  industry continues to develop and requires
  specialized experts for specific job roles and
  responsibilities.
• For example, programmer coders will have to
  necessarily upgrade their skills to Big Data
  analytics and managers will have to necessarily
  upgrade their skills to business intelligence and
  familiarize themselves with skills to work with
  data for business and career progress. As this
  segment of IT has recently exploded, and the
  major expansion after the big bang is yet to take
  place.

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Privacy

• One of the major drawbacks of this technology is
  privacy ad as it continues to remain it is
  noteworthy to keep in mind that in a very shot
  while a permanent remedy is sure to hit the
  market as a resolution to this. At present, it is
  difficult to understand how the data generated is
  used and shared amongst the companies and as for
  the big data Hadoop future is concerned it is
  destined to reduce or rejected.
• Major companies globally will rise up to this
  forth coming challenge and will search for
  actions on the legal scenarios. New and related
  policies will be composed, and laws will be
  modified accordingly for data consumption and
  analytics, making a way to a safer ecosystem for
  customers who generate the majority of the data.

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The Volume of Data Generated Will Continue to
Increase

• The only promising things about big
  data Hadoop future is that the volume of data
  generated per day will only continually increase.
  Currently the data generated is approximately 2.3
  trillion gigabytes daily, and this will just keep
  growing in the future. If you have observed,
  there are devices like the smartwatches, smart
  wearable techs and smart televisions, in the
  market that additionally collect consumers data,
  allowing the scope for simply enormous generation
  of data.

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Big Data and its Integration with Other
Technologies

• As previously mentioned, the future of big data
  is clear and unchangeable. If noticed,
  technologies like Machine Learning, artificial
  intelligence, IoT, and alike are slowly entering
  our daily lives. The backbone of all these is Big
  Data seated in a strong and authoritative
  position.
• The devices linked and are sending messages to
  each other via a connected network for sharing
  and generating data you input, and the structured
  algorithms learning patterns are processing
  information from the data generated. A plain
  example of the Internet of Things is the smart
  television that is connected to ones home
  network that is generating data on the viewing
  patterns, interests and other details.
• Also if the social apps are installed, it is
  taking into account the personal preferences and
  tastes and collectively works on characters like
  yours to deliver better online content and
  streaming selections. You would be shocked to
  know that the huge blockbuster House of Cards was
  the outcome of Big Data analytics!

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Big Data by the year 2020

• The data industry has been developing ever since
  its foundation and is moving other industries and
  companies for their advancement. With its
  continuous impact on companies, the future of big
  data concerning its market share and investment
  globally is just expected to grow many times by
  the time we reach 2020.
• The estimates revealed that the international
  market share of the big data and its associated
  technology is likely to reach roughly about 57
  billion by the 2020. The US is the first in the
  race by generating, consuming and deploying the
  data and next in this technology run is our
  India. Research analysts even publicized that
  India will grow and become a 8 billion industry
  by the year 2020, creating a demand for more than
  50,000 skilled Big Data experts and Data
  scientists.

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• In the next few months, IT professionals will
  exchange their current career course to a
  lucrative career in Big Data and take along big
  fat salaries as compared to an average IT
  professional and will enjoy a great work-life
  balance as well.
• The industry will continue to progress with
  regards to innovative applications and the fields
  and areas that operated traditionally till date
  will alternatively be taken as data for
  decisions. One of the classic examples is of HR
  analytics, wherein HR associates are upgrading to
  Big Data analytics for effective decisions on
  recruitment, wage differences, appraisals,
  retrenchment and budgeting.
• We, at Dash Technologies, anticipate a world that
  is purely data-driven and consumers and experts
  are creating a world that will be instinctive,
  smart, responsible and responsive. And so if you
  have the same vision as ours, it is time you
  shift to Big Data as you know, the future of big
  data is strong and the technology here is to
  continue forever.

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Thank You