Certified Big Data Engineer in association with IBM (UAE)


About the Program

Location:
Online Live
Type:
Certification Course
Enrollment Method:
Application
Rating:

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Course Details

"Big data" is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.

Data engineering is a growing profession, with many opportunities for employment and career growth existing across all industries. And in recent years, data engineers have become highly sought after because of the incredible value they bring to organizations regarding data mining, analysis and implementation. 
 

 

According to a research done by IBM, the demand for data engineers and scientists will increase by 28% in the next three years. And according to the findings of the survey by Teradata, McKinsey and Forbes Insights on the state of big data analytics, the majority of respondents reported not just significant investment in big data analytics but a significant return on that investment. 

 

 

The beginning salary for data engineers is $62,321 per year which is far better than other professions, considering it as a remuneration for an entry-level position. Based on a report posted by PayScale, data engineers earn an average income of $90,885 per year. which largely depends on the level of experience, location and company. If you are looking for such a bright career option then apply now for the Certified Big Data Engineering course in association with IBM. 

mation from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.

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