Big Data Training and Certification course is targeted towards sharing a vast knowledge of Big Data and its fundamentals. 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. In our Big Data Foundation training sessions, you’ll learn all about Big Data Fundamentals, Big Data Sources, Data Mining: Concepts and Tools, Big Data Technologies along with Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume, and Sqoop.
Big Data Foundation Training and Certification course’s curriculums are directed towards:
1. Big Data Introduction
2. Big Data Technology - Overview
3. Big Data - Privacy & Ethics
4. Sources for Big Data
5. Social Media Data Sources
6. Public Data Sources
7. Data Mining - Concepts and Tools
8. Big Data Technologies - Hadoop
9. Data Processing with Hadoop
10. Big Data Technologies - MongoDB
11. Document Databases
12. Data Modelling with Document Databases
You are eligible for Big Data Foundation training and certification course if you are working in any of the following fields:
There are no formal prerequisites for the exam, but the basic knowledge of Hadoop and Mongo DB will be helpful for participants to understand the concepts.
This Big Data Foundation Training focuses on experiential learning. The material of this course is divided into 60-90 minutes of interactive sessions.
Not only this, if you are participating, expect yourself to get indulged with interesting group activities. By this, you will get a chance to put the theory into action.
This training will be nothing like any ordinary training you imagine. We follow a vast range of creative methodology which will allow you to wrack your grey matter and boost your energy up to participate.
The key features of our training program would be:
The Big Data Foundation certification is governed, administered, and maintained by GSDC. The Big Data Foundation Certificate will be the pre-requisite for future Big Data Foundation certification courses.
Exam Format - Objective Type, Multiple Choice
Exam Duration - 1 hour
No. of Questions - 40 (multiple-choice questions)
Passing Criteria - 26 out of 40 (65% is needed to pass)
In case the participant does not score the passing percentage, they will be allowed to take the 2nd attempt at no additional cost. Re-examination can be taken up to 30 days from the date of the 1st exam attempt.
Big Data Foundation training will be delivered by accredited trainers. The instructors for this course are highly experienced professionals with 16+ years of industry experience and have trained more than 7000 professionals
|Name||Batch Dates||Batch Time||Action|
Our Big Data Foundation classrooms are the hubs of Big Data knowledge that can be used to bring a drastic change to any organization’s business growth. The way organizations are in a heavy lookout for Certified Big Data professionals, similarly, we too are in a lookout for professionals who can be blessed with Big Data knowledge after our Big Data training sessions and contribute to their organization’s Big Data projects. Our Big Data courses have certain perks that will make your money worth and bring you a good amount of return on investment as you step into the Big Data field with the knowledge you have gained. Our Big Data Foundation training in Pune is delivered by industry experts with more than 12 years of experience in Big Data background. Once you register for our Big Data Foundation training and certification course, prepare to be amazed by a string of creative methods our trainers curate the sessions with such as training sessions in a storytelling format, an exhibition of concepts with the help of professional examples, self-analysis and group discussions, case studies as the application of the concepts which were taught, vibrant presentations along with individual and team activities and post-training reading suggestions. We deliver online Big Data Foundation training for professionals in Bangalore and Mumbai as well.
Big Data Foundation Training In Pune:
DevOps Foundation Training in Pune focuses on explaining Big Data, its origin, and its characteristics to the participants along with identifying and obtaining relevant datasets when looking at a business problem. In this Big Data Foundation course, participants will learn about Big Data Technology, Hadoop, MongoDB, Sources of Big Data, Enterprise Data Sources, Social Media Data Sources, and many more. The standard cost for Big Data Foundation Training & Certification course is pretty reasonable. This Big Data Foundation Certification is all about experiential learning. The material of this course is divided into 60-90 minutes of interactive sessions. Our trainers keep you involved in interesting group activities. By this, you will get a chance to put the theories into action. Our vast range of creative methodology which will allow you to wrack your grey matter and boost your energy up to participate. After the training session, you’ll have to sit for your Big Data Foundation Certification exam that will consist of 40 multiple choice questions and you’ll be given one hour to solve them. You will get your results right after the examination and if you score 65%, you will be an owner of the Big Data Foundation Certificate that will be delivered to you within 5 business days.