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COURSE DESCRIPTION

GNV IT Solutions Big Data 

Pegged at $2 Billion, the Big Data Analytics market in India is poised to grow by 26 percent a year to reach approximately $16 Billion by 2025, accounting for about 32% of the world market.

 Accordingly, job opportunities are growing by leaps and bounds. Check in some job portals and you will find thousands of job postings for Big Data Analytics professionals there.  

The average base salary the Big Data Analytic skill commands is Rs. 10,00,000 a year. Big tech companies may offer a salary ranging from Rs. 7,00,000 to Rs. 19,00,000 a year, depending on your skills and experience.

You are only a step closer to becoming a much-sought-after Big Data Analytics professional.  

Join GNV IT Solutions Big Data.

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  • Learn about the fundamentals of Big Data and how it helps businesses
  • Learn how Big Data strategy is developed based on business goals and data available and additional data needed
  • Understand Big Data management technologies such as Hadoop, Spark and MapReduce work together   
  • Learn how machine learning and deep learning, predictive modeling, data mining, statistical analysis, streaming analytics and text mining can be applied to Big Data Analytics
  • Learn about various versions of Hadoop and their application
  • Learn to install and set up Hadoop and Spark to store and process data
  • Learn to perform exploratory queries on data batches using tools like Pig, Hive and Spark
  • Learn to use Spark RDD optimization techniques
  • Learn to write programs in the Big Data domain as per system architecture
  • Guaranteed Placement
  • 300 Hours of online training sessions
  • 10 of practical assignments
  • 2 live projects
  • Certification from CEMS/360digiTmg/UTM/IBM/Innodatatyics
  • Guaranteed Placement
  • Duration of the Course 4 months
  • Introduction to Bigdata
  • Hadoop and Hadoop Architecture
  • Linux and Installation of Hadoop
  • Hadoop Distribution System
  • Cloudera Installation
  • HDFS Features
  • MapReduce and Yarn
  • Hive Programs
  • HBase for Storing Data
  • Applications of Sqoop
  • Spark and Associated Ecosystem
  • Basics of SQL, AWS, Azure, Python
  • Hadoop
  • Apache Hbase
  • Apache Pig
  • Apache Spark
  • Apache Sqoop
  • Apache Hive
  • Vmware
  • Linux
  • Python
  • Cassandra
  • Math science and commerce graduates
  • Professionals working in field of Business intelligence, Data Warehousing and reporting tools
  • Statisticians, Economists, Mathematicians
  • IT professionals or software programmers
  • Analytics professionals, Business Analysts, Software developers
  • Professionals working as Banking and Financial Analysts
  • Data and Analytics Managers
  • Data Engineers and Business Analysts

 

Big Data : An Introduction

Big Data can be defined as a combination of structured, semi-structured and unstructured data. It is mined for analysis to gain valuable information. Big Data is generated in real-time and in a huge scale. Sensors, devices, video/audio, networks, log files, transactional applications, digital media such as web and social media are some sources of Big Data.   

Big Data is different from Database. Database is an organized collection/storage of information which can be easily captured, accessed, managed and updated. Big Data, on the other hand, cannot be captured, stored, managed and processed by traditional Databases, for it is too big and too diverse and is generated at high velocity. Big Data is all about analyzing and predicting human and machine behaviour by processing a very huge amount of related data. It is used in machine learning projects, predicctive modeling and other analytics applications.  

Big Data is finding application in a myriad way across businesses and sectors. Organizations use Big Data to improve their operations, provide better services to their customers and build personalized promotional campaigns to increase their bottom lines. Big Data is also used to identify diseases, factors triggering them and their diagnosis. It also helps predict outbreaks of infectious diseases. Energy, financial services, manufacturing and transportation sectors all use Big Data for various business processes. Government agencies also rely on Big Data for emergency response, crime prevention and other initiatives.   

Harnessing Big Data, however, requires a diverse set skills and technologies. This, in turn, requires specialized training to master those skills.    

GNV IT Solutions Big Data is meticulously designed to help you master skills that a Big Data Analytics professional needs.

Testimonials

  • “A valuable recruitment partner” GNV IT SOLUTIONS have been a valuable recruitment partner of our company for the last few years. They have a very people-centric approach that goes beyond just matching skills and experience to a job spec. I know when I interview candidate they will have already vetted as a suitable fit within our company and culture by a partner who knows us well. Being honest, I’m not the biggest fans of recruitment consultants – but working with this GNV IT SOLUTION

    Srikanth, Astoria Technologies - HR Manager

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    Gopi Krishna, CEMS - Vizag - COO

  • “They have restored our faith in Recruitment” GNV IT SOLUTIONS have been amazing. They prepared our students extremely well for interviews; trainers were very patient with students & kept in constant contact. Having dealt with numerous companies in the past and not had great experiences, they have restored my faith.

    Dr. Satpathy, Sri Sri University - Director to office of the Vice-Chancellor

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