BIG Data Career Freshers
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Big Data Careers, BIG Data JOBs,...
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The Big Data Job Boom
Created By : Amit Sharma Presented By : Amit Sharma, Kapil Kumar
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What is BIG Data? Everywhere you go, everything you do, you're generating data, and so is everyone around you. Your mobile phone usage, your internet browsing behavior, the way you drive your car, the number of times you buy turkey at the grocery store...all of that data is being collected and used by companies around the world
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Some Surprising Big Data Statistics
Created By : Amit Sharma Presented By : Amit Sharma, Kapil Kumar
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BIG Data Growth Pattern
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BIG Data Job Roles and Skills
Created By : Amit Sharma Presented By : Amit Sharma, Kapil Kumar
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Big Data Job Roles
Chief Data Office Big Data Scientist Big Data Analyst Big Data Visualizer Big Data Manager Big Data Solution Architect Big Data Engineer Big Data Researcher Big Data Consultant
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Big Data Job Roles Big Data Scientist : Create algorithm and solutions to answer big data questions Big Data Analyst : Helps BIG Data Scientist. Big Data Visualizer : Organize and Visualize the data which is being understood by Management. BIG Data Manager : Manages the Team and works as bridge between BIG Data Team and Management. BIG Data Solution Architect : "A Hands On Person" Assisting in Implementing Big Data Algorithms Using different Technologies Big Data Engineers: Develop Maintain, Test and Evaluate the Solutions (Designed by Architecture) BIG Data Researchers : Explores Big Data Possibilities for the Organization, Identify right technologies and Product opportunities. BIG Data Consultant : Provides Advise to companies in Different BIG Data Areas
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Job Opportunities But the explosion of data has also given rise to a tremendous need for skilled professionals capable of dealing with all of this information. In fact, the numbers of people needed in big data are simply staggering. According to one new projection from McKinsey & Company, the U.S. alone faces a shortfall of 140,000 to 190,000 big data professionals in the next five years. Another recent study from Gartner suggests that 4.4 million IT jobs worldwide will be needed to support big data by 2015. That's a lot of potential employment for the right people.
140,000 to 190,000 big data professionals
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4.4 million IT jobs by 2015
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WHO'S RECRUITING IN DATA ANALYTICS Top 10 employers recruiting data analytics professionals Deloitte Capital One IBM Booz Allen Hamilton Northrop Grumman
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SAIC CGI Group General Dynamics CACI Freddie Mac
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TOP DATA ANALYTICS JOB TITLES Top 10 data analytics job titles found most frequently in job postings •Business analyst •Data analyst •Extract, transform and load (ETL) developer •Systems analyst •Data architect
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•Solutions architect •Data modeler •Business systems analysts •Financial analyst •Business intelligence developer
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Top 10 Questions
Created By : Amit Sharma Presented By : Amit Sharma, Kapil Kumar
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1. How Much Data is There? Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few.
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2. Structured Versus Unstructured Data In classifying big data, Tata Consultancy Services Limited (TCS) looked at how much of companies' data was structured versus unstructured, as well as how much was generated internally versus externally. 51% of data is structured 27% of data is unstructured 21% of data is semi structured
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3. Big Data Generates Jobs By 2015, 4.4 million IT jobs globally will be created to support big data, generating 1.9 million IT jobs in the United States. Every big data related role in the U.S. will create employment for three people outside of IT, so over the next four years a total of 6 million jobs in the U.S. will be generated by the information economy. The challenge? There's not enough talent in the industry.
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4. The Big Data Talent Shortage There will be a shortage of talent necessary for organizations to take advantage of big data. By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know how to use the analysis of big data to make effective decisions.
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5. Disparate Systems 66% of IT leaders and 53% of IT professionals claim their data is stored in disparate systems – and these organizations must build new platforms to accommodate these increased data management needs.
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6. Getting Business Value From Big Data The biggest challenges to getting business value from big data are as much cultural as they are technological. When asked to rate a list of 16 challenges, companies placed an organizational challenge at the top of the list: getting business units to share information across organizational silos.
7. Data Quality More than half of IT leaders (57%) and IT professionals (52%) report they don't always know who owns the data. If one doesn't know who owns the data, there is no one to hold accountable for its quality. As different sources and varieties of data are fused together for big data projects, ensuring the accuracy and quality of the data will be critical to success.
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8. Big Data Implementations Big data implementations in production rose from 27% in 2012 to 34.3% in 2013. In addition, 68% of companies are running two or more big data projects as part of their big data initiatives. For companies with an analytics strategy in place, the top business driver was the need to combine sales information into operational analytics (57%). (Source: EMA and 9sight Consulting
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9. Big Data Tools 80% of responders said they are already using or planning to use dedicated Big Data tools or architectures in their production environment to cope with the influx of massive amounts of data. 56% of respondents indicated they plan to move existing applications from RDBMS to a NoSQL data store.
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10. Industries Spending the Most on Big Data Industries spending the most are telecommunications, travel related, high tech, and banking; life sciences, retail, and energy/resources companies spend the least.
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BIG Data Platform and Tools
Created By : Amit Sharma Presented By : Amit Sharma, Kapil Kumar
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Top Big Data Analytics Platforms
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Open Source Solution
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