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With Certified Professional in Big Data course candidates will get the practical knowledge and experience of Hadoop and Mongo DB via lab exercises. It also explains the real-life examples of Big Data technologies which helps candidates in obtaining results from Real Datasets, including major Social Media platforms.
Certified Professional in Big Data Certification Training in New York Change Location
No Virtual Classes are announced
Average annual salary for a job role with this certification course
With Certified Professional in Big Data course candidate will get the practical knowledge and experience of Hadoop and Mongo DB via lab exercises. It also explains the real-life examples of Big Data technologies which helps candidates in obtaining results from Real Datasets, including major Social Media platforms.
The exam format of Certified Professional in Big Data is as follows:
The Certified Professional in Big Data certificate is aimed for:
There are no pre-requisites to apply for CPBD exam but completing Certified Associate in Big Data certificate is recommended.
The Certified Professional in Big Data Certification course covers as follows:
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Course materials crafted and tailored to help you master every knowledge area with high quality videos, study guides, practice questions, glossary terms and more.
Learn from experienced trainers with an average industry and subject matter experience of 15 years working in some of the top companies across the globe.
With quality at the heart of our service, we bring in a lot of value propositions to every enrollment at affordable costs.
Get free certification courses and attractive discounts with us to continue your education. Over 35,000 customers continue learning with us for free.
Training solutions are optimized for maximum efficiency. If you are unhappy with the delivery or not able to pass your exams, we've got you covered.
Certprime is the sole training partner for some of the leading government and private organizations globally.
You can enroll for an online, classroom or virtual course directly from our website by filling up the booking form. Alternatively, you can contact our sales team who can book you for a course.
We have 3 modes of payment-
a) Using PayPal account
b) Using credit or debit card
c) Wire transfer
The hard copy materials for the virtual training will be shipped to you 7 days before the class commencement date or candidate can also opt for E-book.
The payment must be done before the training starts. For classroom and virtual at least 15 days before the class commencement date. For the online mode of training, the materials will be accessible only after the receipt of course fees.
After completing the course you will receive the course completion certificate from CertPrime. After successfully passing the CPBD certification exam you will receive the certificate from the exam body (AQONTA).
If you fail in the first attempt you can ask for a free retake or ask for a refund. Kindly refer to our money back guarantee policy*.
Yes. CertPrime is an Accredited Training Organization (ATO) which is accredited to AQONTA.
It will take 5 to 7 days to get certified in CPBD certification in the first attempt.
You can verify your certificate in the successful registered candidates list available on AQONTA website.By typing the certification number or your first and last name into the appropriate fields and clicking search the result will be presented. You do not need an account or to login to do this.
If you fail in the first attempt you will be given a free retake. If you fail on the second attempt you can ask for a refund. Refer to our money back guarantee policy.*
You can ask for a refund within 24 hours of enrolment. Kindly refer our refund policy*.
The candidate needs to renew their certification every 3 years by submitting 60 CRPs
Big Data Professional Certification is increasingly becoming a necessity for various organizations owing to the high amount of data being generated. These certified professionals make the data easier to handle, sort, analyze and process thus making decision making easier.
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