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Big Data

The data which are very large in size more than 10^15 peta byte than that is known as Big Data. For example: An e-commerce site like Amazon which is very huge e-commerce site and they are having every details regarding their customer , so they have to deal with the big data handling. Big Data creates amount of unstructered data and to store , process and analyze this data we just can do it through the Hadpoop framework which is an open source framework of Apache and to store these much huge data it use commodity hardware to store the data in distributed fashion. These are big data careers:
  • Big Data Engineer
  • Data Scientist
  • Big Data Analyst
  • Data Visualization Developer
  • Machine Learning Engineer
  • Business Intelligence Engineer
  • Business Analytics Specialist
  • Machine Learning Scientist
  • ₹14000₹24000  41% Discount

    Includes:

    •  24 hours on-demand Support
    •  9 Supplemental Resources
    •  Full lifetime access
    •  Access on mobile and TV
    •  Certificate of Completion


    Choose IT Training Institute for Big Data Training

  • We provide Big Data training on live projects.
  • You can fees after attending 2 demo classes of Big Data program.
  • Major focus on 1 on 1 sessions in Big Data training.
  • We charge minimum fees for Big Data training classes in gurgaon.
  • We also provide 100% job assistance to our all candidates.
  • We are extremely good at what we do.
  • We provide the best experience staff who are having hands-on experience 0f 7-8 years.
  • Specialized Knowledge and Experience here.
  • We Practice What We Preach and Use Our Own Services.
  • All of Our Work is Done on nice platform.
  • We care about trainee.
  • Quality of Code.
  • Our full Support.

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    Course Content and Syllabus for Big Data

    Hadpoop Training Big Data Introduction Hadpoop Modules HDFS
    Yarn Hadpoop MapReduce MapReduce API HBase
    Difference between RDBMS and HBase Hive Hive DML & DDl commands Pig
    Pig Data Types Sqoop Sqoop Import & Export/Spark RDD persistance Spark/Spark RDD operations


    Big Data Course and Duration

    Track Regular Track Weekend Track Fast Track
    Course Duration 45 - 60 Days 8 Weekends 5 Days
    Hours 2 hours a day 3 hours a day 6+ hours a day
    Training Mode Live Classroom Live Classroom Live Classroom



    Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big Data technologies can be used for creating a staging area or landing zone for new data before identifying what data should be moved to the data warehouse. In addition, such integration of Big Data technologies and data warehouse helps an organization to offload infrequently accessed data.

  • The company can take data from any source and analyse it to find answers which will enable:
  • 1.Cost Savings
  • 2.Time Reductions
  • 3.New Product Development
  • 4.Understand the market conditions
  • 5. Control online reputation
  • Few Examples Of Big Data:
  • A single Jet engine can generate 10+terabytes of data in 30 minutes of flight time. With many thousand flights per day, generation of data reaches up to many Petabytes.
  • The statistic shows that 500+terabytes of new data get ingested into the databases of social media site Facebook, every day.
  • Data is mainly generated in terms of photo and video uploads, message exchanges, putting comments etc.
  • The New York Stock Exchange generates about one terabyte of new trade data per day.