Big Data

What is Big Data exactly?

It can be defined as data sets whose size or type is beyond the ability of traditional relational databases to capture, manage and process the data with low latency. Characteristics of big data include high volume, high velocity, and high variety. Sources of data are becoming more complex than those for traditional data because they are being driven by artificial intelligence (AI), mobile devices, social media, and the Internet of Things (IoT). For example, the different types of data originate from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media — much of it is generated in real-time and at a very large scale.

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Benefits

Big data is the set of technologies created to store, analyze and manage this bulk data, a macro-tool created to identify patterns in the chaos of this explosion in information in order to design smart solutions. Today it is used in areas as diverse as medicine, agriculture, and environmental protection. Big Data and Hadoop Training in Pune will expand your job possibilities. The global HADOOP-AS-A-SERVICE (HAAS) Market in 2019 had grown to USD 7.35 Billion.  The market is expected to grow at a CAGR of 39.3%, rising to USD 74.84 Billion by 2026. Those who want a career edge will want to enroll in Big Data and Hadoop Training in Pune.

Designation

Annual Salary

Hiring Company's

Big Data Architect

A big data architect is required to solve problems that are quite big by analyzing the data, using Hadoop, which is a data technology.

Big Data Engineer

A big data architect is required to solve problems that are quite big by analyzing the data, using Hadoop, which is a data technology.

  • Design, construct and maintain large-scale data processing systems. This collects data from various data sources — structured or not.
  • Store data in a data warehouse or data lake repository.

 

Big Data Developer

A big data architect is required to solve problems that are quite big by analyzing the data, using Hadoop, which is a data technology.

  • Design, construct and maintain large-scale data processing systems. This collects data from various data sources — structured or not.
  • Store data in a data warehouse or data lake repository.