Big Data Technology Fundamentals on AWS
Big Data Technology Fundamentals on AWS – Training and Certification Online by Checkmate IT Tech offer a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field of AWS by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Data Professionals: For data scientists, engineers, and analysts who wish to use AWS for big data processing and analytics, this is the best option.
IT Professionals: IT Professionals: Ideal for IT professionals and system administrators overseeing or migrating to cloud-based big data solutions.
Business Intelligence Experts: For BI analysts and architects looking to include AWS capabilities for scalable analytics and reporting, Business Intelligence Experts was created.
Learners and Professional Revolutionaries: Ideal for people who are new to cloud computing or big data and wish to learn the fundamentals before pursuing a career in AWS-based data solutions.
Big Data Engineer: Using AWS tools to design and implement big data solutions.
Cloud Data Architect: Developing scalable, secure, and economical data solutions on AWS is the responsibility of a cloud data architect.
Data Scientist: Using AWS services to apply machine learning models and analyze complicated datasets.
Business Intelligence Developer: Using AWS analytics technologies to build data pipelines and reporting solutions.
DevOps Engineer: AWS workflow automation and large data infrastructure management are the responsibilities of a dev operations engineer.
Professionals with expertise in AWS big data technologies are in great demand across sectors like retail, technology, healthcare, and finance because to the growing demand for cloud-based data solutions. These sectors offer attractive pay and prospects for career progression in both the USA and Canada.
- A look at the main ideas and traits of big data
- Getting to know Amazon Web Services
- Learning about the 3Vs of big data: Volume, Velocity, and Variety
- Basics of cloud computing
- An overview of big data architectures
- Models and architectures for storing data
- Using Amazon S3 for object storage
- Amazon Elastic Block Store lets you store blocks of data.
- Basics of data warehousing with Amazon Redshift
- Creating data lakes that can grow
- Getting Started with Distributed Computing
- Apache Hadoop and Apache Spark examples of big data frameworks
- Using Amazon EMR to manage clusters
- Methods for processing data in batches
- Basics of data pipelines
- Ways to get data into big data systems
- Using Amazon Kinesis for real-time streaming
- Using AWS Lambda to process data without a server
- Architecture based on events
- Handling streaming data pipelines
- Processes for Extracting, Transforming, and Loading (ETL)
- Getting data ready with AWS Glue
- Workflows for changing data
- Methods for cleaning and checking data
- Making data pipelines work automatically
- Asking Amazon Athena for data
- Using Amazon Quick Sight to show data visually
- Workflows for data analytics
- Making reports and dashboards
- Basic ideas about business intelligence
- Best ways to keep big data safe
- AWS Identity and Access Management
- Encryption of data and following the rules
- Ways to make performance better
- Managing costs in big data systems
- Capstone Project for end-to-end data analytics
- Getting ready for the AWS Certified Data Analytics – Specialty exam
- Mock Interviews & Job Placement
It is a basic course that teaches how to use Amazon Web Services to work with big data.
Basic programming skills are useful, but not mandatory.
People who work with data, IT professionals,cloud engineers and who are new to big data technologies.
You will learn how to store data, use distributed computing, process streaming data and do analytics.
The duration is 2 months (8 weeks), with sessions held 2 times per week (either during week or weekends), including theory, hands-on practice and project work.
Yes, upon successful completion, you’ll receive a Certificate of Completion from Checkmate IT Tech.
Yes, students do hands-on work with Amazon Web Services.
We offer online training classes to promote easy access to all candidates. Recordings are also made available for revision or if you miss a session.
Yes. We provide resume reviews, mock interviews, LinkedIn optimization, and guidance on job portals to help boost your chances in the job market.
AWS Glue, Amazon EMR, Amazon Redshift and Amazon Kinesis are some of the services.
Data Architect, Cloud Data Engineer, Data Analyst, and Big Data Engineer.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
Email info@checkmateittech.com OR Call Us +1-347-4082054
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Job opportunities in USA and Canada
Big Data Engineer: Using AWS tools to design and implement big data solutions.
Cloud Data Architect: Developing scalable, secure, and economical data solutions on AWS is the responsibility of a cloud data architect.
Data Scientist: Using AWS services to apply machine learning models and analyze complicated datasets.
Business Intelligence Developer: Using AWS analytics technologies to build data pipelines and reporting solutions.
DevOps Engineer: AWS workflow automation and large data infrastructure management are the responsibilities of a dev operations engineer.
Professionals with expertise in AWS big data technologies are in great demand across sectors like retail, technology, healthcare, and finance because to the growing demand for cloud-based data solutions. These sectors offer attractive pay and prospects for career progression in both the USA and Canada.
