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How do you start to study for the AWS Certified Data Analytics Specialty Exam

Get the guide For AWS Certified Data Analytics Specialty Exam

Quick study guide if you don't have time to read complete the page

AWS offers the widest range of analysis tools and engines that analyze data using open formats and standards. To validate their experience with AWS data analysis solutions, manufacturers can now use the beta version of AWS Certified Data Analytics - Specialty Certification. AWS Certified Data Analytics: the specialized certification validates the technical experience in the design, creation, safety and maintenance of analysis solutions in AWS. This certification was first launched in 2017 as AWS - Specialty certified Big Data. The new name highlights the range of technical skills and experience in data and analysis validated by the certification. The new version of the exam includes updated content in all categories, from collection to viewing. It is the only AWS certification that specifically focuses on data analysis experience. This certification demonstrates its ability to design and implement analysis solutions that provide information through the visualization of data with appropriate security and automation measures.

Reference: https://d1.awsstatic.com/training-and-certification/docs-data-analytics-specialty/AWS-Certified-Data-Analytics-Specialty-Exam-Guide_v1.0_08-23-2019_FINAL.pdf

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2. Data Analytics Fundamentals Digital Course by AWS Training

This is a digital training that is self-paced and allows candidates to learn more about planning data analysis solutions & processes. This course walks individuals through the five subjects of the AWS Certified Data Analytics exam, covering basic architecture, potential use cases, and value prepositions, among the rest. It provides detailed information about the AWS services and will the most beneficial for data scientists, data analysts, and data architects who want to enhance their skills in AWS solutions and their implementation. Some of the skills one will master during this program include the following:

• Discovering different concepts of data schemas and defining how data and information is stored in the metastores
• Analyzing how Amazon EMR, Amazon Redshift, and AWS Glue work to process, transform, and cleanse data in data analysis solutions
• Analyzing the characteristics of the storage system for source data
• Understanding different ways used to analyze data and make reports with Amazon Athena and Amazon QuickSight tools
• Knowledge of the types of data such as structured, unstructured, and semi-structured
• The use of Amazon Kinesis for processing streaming data
• Explain AWS services and their work to visualize data
• Classifying the characteristics of data analysis solutions

It is recommended to take this course after experiencing database concepts. The applicant should have a basic understanding of data storage, analytics, and processing. Sessions are offered in Japanese, Portuguese, Spanish, Indonesian, Thai, Vietnamese, Korean, Simplified Chinese, and English.

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