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Growth and Career Prospects in Big Data

Big data is a phrase which is used to describe a very large amount of structured (or unstructured) data. This data is so “big” that it gets problematic to be handled using conventional database techniques and software.  A Big Data Scientist is a business employee who is responsible for handling and statistically evaluating large amounts of data. The most important task of a Big Data Scientist is to describe the significance of bulk data in a way which could be easily understood.

big-dataThe term “Big data” sometimes can also be used to describe the tools and procedures an organization might need to process a large volume of data. Since the studies reflect that around 91% of the data today has been created in the last 3 years, the need for data handling has led to a need of developing and using Big Data Technologies.

Clear examples of Big Data could be:
  • Around 600 million tweets are sent in a day. This is more than 6,840 tweets per second.
  • VISA handles around 172,800,000 card transactions every day.
The 3 Vs in Big Data Big data is generally explained by using the 3 Vs which are: Variety, Velocity and Volume.

bigVariety refers to the largely varying formats of data, like databases, excel sheets, documents and several other commonly existing formats.

Velocity refers to the rate which with the data keeps changing, or in other words the rate at which data is created and updated. Volume refers to the size of the available data. Today, data size has become enormous, ranging from giga bytes to even peta bytes. Major Big Data Technologies Several technologies and frameworks have been deveoped to handle big data. Some of the most popualar big data technologies are:
  • Hadoop (or Apache Hadoop)-- This is by far the most popular Big Data tool. It has an open source platform with a framework which is very flexible to handle multiple data sources.  It can be used for ensuring maintenance, error-handling and security of Big data.  One of the major applications of Hadoop is to process and manage large volumes of persistantly changing data.
  • Map Reduce- This is a foundation framework for Hadoop. It allows handling of massive volumes of data in parallely distributed processing environment.
  • No Sql- These are referred to as Not only Sql databases, which are very different from the traditional “relational” databases.  Unlike the relational databases, nosql do not require any specific table schemas for data handling.
  • Grid Computing -- This is a special type of distributed computing where a connection is established between multiple geographically dispersed computer sources. These resources operate in parallel to handle large chunks of data.
  • In-memory databases -- These are databases which use the main memory of the system for data processing. These are used in systems where response time and data requests are considerably high.
  • Specialized databases -- These are big databases which manage and process data providing specific information.
Skills Required to Become a Big Data Scientist A Data Scientist must have a set of technical skills, visualization skills and business domain expertise. A data scientist should also posses strong analytical and problem solving skills.

Picture31. Technical Skills:

  • Knowledge of atleast one big data technology such as Hadoop.
  • Knowledge of programming and scripting languages like Java and Python.
  • Knowledge of database managament and SQL.
  • Knowledge of data modelling and relational databases.
  • Knowledge of statistical tools like SAS and Excel.
 2. Visualization SkillsThese include presentation skills and knowedge of tools like Powerpoint, Google Visualization API, Tableau, MS Paint etc. 3. Business SkillsThese include knowledge of the business domain where you’re going to work, understanding and meeting the business needs, knowledge of risk analysis etc. Big Data Applications Big data has a number of applications for the capital market companies:
  • Exploring data -- Finding and managing the useful data is a big challenge for every enterprise. Big Data technologies can help these enterprises in exploring the “big” data.
  • Risk Analytics -- Risks, frauds and security could be controlled by using big data technologies. This could benefit in banking, insurance etc.
  • Trading Analytics -- Companies can analyse their customer base and their needs by using big data technlogies for data processing.
  • Medical Data Management -- Big data can help in managing the patient data in the medical sector.
  • Telecom Data Management -- Big data can be used to decrease the processing time by managing the call data in telecom sector. This could also optimize the locations based telecom services.
  • Financial data management - Financial services companies process a several millions of transactions everyday. Big data technologies can help such companies in managing such a massively big data.
  • Tax Compliance -- Big data could help in detecting tax related frauds.
  • Data tagging -- Big data can help in organizing information by associating pieces of data with
Career Prospects India is human capital rich country.  The introduction of new technologies and the constantly increasing data has created a great need for professionals skilled in managing this “big” data. There are various roles which could be played by a big data professionals:
  • Big Data Scientist
  • Big Data Analyst
  • Big Data Visualizer
  • Big Data Manager
  • Big Data Solutions Architect
  • Big Data Engineer
  • Big Data Researcher
  • Big Data Consultant
Firms like EMC, ORACLE , IBM and CAPGEMINI are planning to hire Big Data Scientists in the upcoming future. Find Big Data Courses and Trainers Today!

Comments

Share your thoughts with the community or ask a question

naveen 21/07/2014

excuse me.... im also mca student ok.. its related to in java so easily learn this course and just u have knowledge in core java only.. all the best

zishan 08/05/2014

I am software test engineer with 4 years of experience. How hadoop will help me in my future carrer ? Is there good scope in India.

Why Should you Become a Data Scientist | ThinkVidya.com 29/01/2014

Given the scarcity in the number count of data scientists, the imbalance has created a great career avenue for the present lot of data scientists or data analyst specialist. Any qualified data scientist can demand a comprehensive salary package. To read about the skills required to become a Data Scientist, you can read our expert article here.  more » […] Given the scarcity in the number count of data scientists, the imbalance has created a great career avenue for the present lot of data scientists or data analyst specialist. Any qualified data scientist can demand a comprehensive salary package. To read about the skills required to become a Data Scientist, you can read our expert article here. […] «less

Learn Hadoop and Big Data | ThinkVidya.com 19/12/2013

[…] Big Data is another term which is used to signify large amount of data. However, the term “Big Data” today is often used to indicate the technologies which are used to handle large data and Hadoop is one of those technologies (Read our article on Big Data). […]

ThinkVidya Support 21/11/2013

Hello deepa.b!
Please visit the below link and check the various IT Courses that you may be interested in.
http://www.urbanpro.com/general/search?searchFor=CLASS&keyword=IT+Courses&searchPinCodeLocality=&search=Go

deepa.b 21/11/2013

i am MCA student, need only IT related links.

Some Popular IT Courses in Current Market | ThinkVidya.com 07/11/2013

[…] The demand for Big Data has seen a substantial rise due to which the top IT companies are exploring the Big Data domain including Hadoop, Map Reduce and NoSQL. For a detailed information on Big data, refer to our article here. […]

Software Engineering as a Career | ThinkVidya.com 28/10/2013

[…] Note: “Big Data” is one of the major emerging database technologies in the current market. Tools like Hadoop have a great demand in the level 1 IT companies. For more information on Big Data click here. […]

ThinkVidya Support 24/10/2013

Hello Shipra Sanskar! You may click http://www.urbanpro.com/general/search?searchFor=CLASS&keyword=Big+Data&searchPinCodeLocality=&search=Go to find few courses/workshops on 'Big Data. If you are looking for personal tutoring on this topic, you may visit the following link and register your requirement with us - http://www.urbanpro.com/find-a-tutor-trainer...  more » Hello Shipra Sanskar! You may click http://www.urbanpro.com/general/search?searchFor=CLASS&keyword=Big+Data&searchPinCodeLocality=&search=Go to find few courses/workshops on 'Big Data. If you are looking for personal tutoring on this topic, you may visit the following link and register your requirement with us - http://www.urbanpro.com/find-a-tutor-trainer-post-requirement/309141 «less

Shipra Sanskar 23/10/2013

All the information is very nicely collated in the article. Thank you very much. What do I need to do in order to get registered on this?

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Related Questions

Shall I learn big data analytics first or go for java and cloud computing and then hadoop?
You should first go for Java specially focus on Core Java and not the Java Frameworks J2EE and all. The you can go for Hadoop Course as it requires Core Java knowledge and then you can go for Data Analytics...
Dhurva

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