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AWS Data Analytics Specialty Training Courses

There are many courses available for candidates to prepare well for the certification exam. Two most popular options are as follows:

1. Big Data On AWS Training Course by AWS Training

This training presents test-takers with big data solutions such as Amazon Kinesis, Amazon Redshift, Amazon EMR, and others. One will learn more about how to use these tools effectively and process the required data using Hue and Hive. The applicants will also gain information about the following subjects, to name a few:

• Selecting proper solutions for data storage
• Transferring, compressing, and ingesting data
• Visualization software
• Utilizing programming frameworks

This 3-days course is available in different languages like English, French, German, Italian, Simplified Chinese, and many more. To help you grasp the topics better, it also involves practical labs.

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This certification is an industry-recognized credential from AWS that verifies candidates' abilities in AWS data lakes and analytics services. When it comes to employment, this certification is a career game-changer that will advance you closer to achieving your dream profession.

The Amazon Web Services (AWS) Certified Data Analytics – Specialty (DAS-C01) is an exam designed for individuals who are good at performing the data analytics role. It tests the knowledge of candidates in using AWS services to build, design, maintain, and secure analytics solutions. Those who apply for this test should understand the differences between various data analytics services and how they can fit in the data lifecycle, storage, collection, visualization, and processing.

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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• Define the operational features of the collection system
• Choose a collection system that manages the cycle, volume, and source of data
• Explain the Amazon Web Services Cloud & the value it provides:
• Pick a collection system that addresses the essential attributes of data, such as order, format, and compression

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