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AWS Big Data Certification Course Overview
In this AWS Big Data certification course, you will become familiar with the concepts of cloud computing and its deployment models. This AWS Big Data training covers Amazon’s AWS cloud platform, Kinesis Analytics, AWS big data storage, processing, analysis, visualization and security services, machine learning algorithms, and much more.
Managing and optimizing data storage solutions. This involves using AWS services like Amazon S3 for object storage and Amazon Glacier for long-term archiving.
Aws Big Data Certification Training Key Features
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- 44 hours of Blended Learning
- Real-life industry-based projects
- 24/7 support with dedicated project mentoring sessions
- Flexibility to choose classes
- Dedicated mentoring session with faculty members
Skills Covered
- AWS Quicksight
- Kinesis streams
- AWS Lambda and Glue
- s3 and DynamoDB
- Redshift
- Amazon RDS
- Hive on EMR
- HBase with EMR
- AWS Auror
Benefits
In a competitive job market, having a specialized certification like AWS Certified Big Data - Specialty can set you apart from other candidates. It can make your resume stand out and increase your chances of being selected for interviews. The certification can open doors to new career opportunities and advancement within your current organization. Employers often look for certified professionals to lead big data initiatives and projects.
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Training Options
Explore all of our training options and pick your suitable ones to enroll and start learning with us! We ensure that you will never regret it!
AWS Big Data Course Curriculum
Eligibility
A practical understanding of AWS services is crucial, as this specialty certification focuses on how to use AWS services for big data workloads. Familiarity with AWS infrastructure, security, and best practices is advantageous. While not mandatory, having the AWS Certified Cloud Practitioner certification or a similar foundational AWS certification can be beneficial.
Pre-requisites
To pursue training for the AWS Certified Big Data - Specialty certification and ultimately earn the certification itself, there are typically no strict prerequisites in terms of prior certifications or qualifications. However, it's essential to have a solid foundation in cloud computing, AWS services, and big data technologies before attempting this specialty certification.
Course Content
Live Course
Self Paced
Aws Big Data Certification Training Exam & Certification
You need to achieve the AWS Certified Data Analytics - Specialty (formerly known as AWS Certified Big Data - Specialty) certification to become an AWS Data Engineer. Our AWS Big Data certification training course will help you learn about AWS and Big Data Analytics from scratch and successfully pass the certification exam.
The cost of the AWS Certified Data Analytics - Specialty (DAS-C01) exam is USD 300.
It will take about 40-45 hours to successfully complete the AWS Big Data certification course.
The time allowed to complete the DAS-C01 exam is 170 minutes.
The AWS Big Data certification training course certificate from Fiest Tech has lifelong validity.
FAQS
Aws Big Data Certification Training Course FAQs
Big Data on AWS is all about fitting AWS solutions inside a Big Data ecosystem. It includes knowledge of cloud-based Big data solutions such as Amazon EMR, Amazon Kinesis, Amazon Redshift, and Amazon Athena. Moreover, you’ll understand how to leverage best practices for designing Big Data environments for security, analysis, and cost-effectiveness.
Beginners who are interested to learn how to build Big Data solutions on AWS can get started by referring to project guides, tutorials, or guided labs offered by AWS. However, this AWS Big Data certification training is curated for beginners, and enrolling in it can help you learn all the important concepts clearly.
Yes, the training and course material offered by Fiest Tech is aligned with the exam changes introduced by AWS and assist you in preparing for the DAS-C01 exam.
You will get access to our e-learning content, practice simulation tests, and an online participant handbook that cross-references the e-learning to reinforce what you’ve learned.
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