GSDC's Big Data Foundation Certification is aimed towards sharing a deep understanding of all the basic fundamentals of Big Data. 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. When we handle big data, we may not sample but simply observe and track what happens. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value. Hence proved, candidates of this certification will have thor hands full with Big Data Fundamentals, Big Data Sources, Data Mining: Concepts and Tools, Big Data Technologies.
Certified Big Data Foundation certification shares a deep understanding of:
Technical Support Specialists
Participants of Certified Big Data Foundation Certification will be able to achieve the following:
Certified Procurement Professional.
Prove your Big Data skills & understanding.
Gain an in-depth understanding of Big Data & its implementation.
Implement your skills in any Big Data applications.
Get Acknowledged as a Big Data Professional worldwide.
There are no formal prerequisites for the exam, but knowledge of Hadoop and Mongo DB will help to understand the concepts
40-multiple choice questions (MCQ).
26 out of 40-65% is needed to pass.
In case the participant does not score the passing percentage, they will be granted a 2nd attempt at no additional cost. Re-examination can be taken up to 30 days from the date of the 1st exam attempt. `
1. Big Data Introduction
7.Data Mining - Concepts and Tools