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The AWS Big Data exam evaluates candidates' proficiency in designing, implementing, and managing big data solutions on the Amazon Web Services (AWS) platform. It covers various aspects of big data technologies, including data storage, processing, analysis, and visualization using AWS services such as Amazon S3, Amazon EMR, Amazon Redshift, Amazon Kinesis, and AWS Glue. The exam assesses candidates' ability to architect scalable, secure, and cost-effective big data solutions to meet business requirements and derive insights from large datasets.
The AWS Big Data exam is suitable for data engineers, data architects, big data developers, solutions architects, and IT professionals involved in designing, implementing, and managing big data solutions on the AWS platform. It is beneficial for individuals seeking to validate their skills and expertise in leveraging AWS services for big data analytics, data warehousing, data lakes, and real-time data processing.
The AWS Big Data Exam covers the following topics -
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Cloud Data Engineer, Big Data Architect, Data Analyst, Data Scientist, AWS Solutions Architect
Data engineers, cloud professionals, and anyone working with AWS technologies in big data environments.
Yes, this exam is useful for those looking to start a career in AWS cloud computing, big data management, and analytics.
This exam helps you gain valuable skills to work with AWS big data solutions and enhances your ability to optimize and manage large-scale data operations on the cloud.
Knowledge of AWS services for managing, processing, and analyzing big data, along with skills in data pipeline management and cost optimization.
Yes, there are freelance opportunities in data engineering, cloud data solutions, and analytics services using AWS.
You will acquire skills in designing and implementing big data solutions on AWS, using tools like Redshift, EMR, Glue, Kinesis, and more.