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AWS Certified Data Analytics- Specialty | Training

AWS Certified Data Analytics- Specialty| Training

Accelerating Your Business with AWS Certified Data Analytics - Specialty: Customized Training Solutions for Your Team's Success‍

Program Overview

This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Data Analytics – Specialty validates expertise in using AWS data lakes and analytics services to get insights from data.

The AWS Certified Data Analytics - Specialty certification validates an individual's expertise in designing and implementing AWS services to derive value from data. It focuses on key competencies such as data collection, storage, processing, and visualization using a variety of AWS data services and analytics technologies. This certification is ideal for professionals who work with big data or are involved in data analytics projects using AWS services. This certification enables organizations to identify skilled professionals who can effectively leverage AWS services for data analytics.

At Uptut, we specialize in providing customized corporate training solutions that help organizations upskill their employees and drive business growth. Our team of industry experts has extensive experience in designing and delivering training programs that meet the unique needs of each organization.

Our AWS Certified Data Analytics- Specialty training course is designed to help corporate teams build the skills and knowledge needed to design, build, secure, and maintain effective analytics solutions using AWS services. With a focus on real-world scenarios, hands-on exercises, and best practices, our training equips participants with the practical skills and knowledge required to pass the AWS Certified Data Analytics- Specialty certification exam and excel in their roles.

Uptut's commitment to ongoing support and follow-up ensures that participants are able to continue building on their skills long after the training program has ended.

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Why AWS Data Analytics- Specialty Certified Professional for your business?

  • Expertise in designing and implementing data solutions: These professionals have the expertise to design and implement scalable, cost-effective, and secure data solutions on AWS, which can help your business to optimize its data infrastructure.
  • Improved decision-making: The data analytics solutions designed by AWS Certified Data Analytics- Specialty certified professionals can help your business to make data-driven decisions, which can lead to improved business outcomes.
  • Cost optimization: AWS Certified Data Analytics- Specialty-certified professionals can help your business to optimize its data infrastructure by using cost-effective AWS services and solutions.

Make Your Team Proficient

Training Objectives

  • Understanding the various data analytics services provided by AWS
  • Understanding how to store and manage data using AWS services like Amazon S3 and Amazon Glacier
  • Understanding how to process data using AWS services like AWS Glue, Amazon Kinesis, and Amazon EMR.
  • Understanding how to perform data analysis using AWS services like Amazon QuickSight, Amazon SageMaker, and Amazon Machine Learning
  • Understanding advanced analytics concepts like predictive analytics and machine learning, and how to implement them using AWS services
  • Understanding how to ensure security and compliance of data and analytics workloads in AWS
  • Understanding how to design and optimize data analytics solutions on AWS
  • Preparing for the AWS Certified Data Analytics- Specialty certification exam, including review of exam topics and practice questions

Hands-on Experience with Tools

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Core Training Modules

  • Domain 1: Collection     18%
  • Determine the operational characteristics of the collection system, Select a collection system that handles the frequency, volume, and source of data, Select a collection system that addresses the key properties of data, such as order, format, and compression
  • Domain 2: Storage and Data Management     22%
  • Determine the operational characteristics of the storage solution for analytics, Determine data access and retrieval patterns, Select the appropriate data layout, schema, structure, and format, Define data lifecycle based on usage patterns and business requirements, Determine the appropriate system for cataloging data and managing metadata
  • Domain 3: Processing     24%
  • Determine appropriate data processing solution requirements, Design a solution for transforming and preparing data for analysis, Automate and operationalize data processing solutions
  • Domain 4: Analysis and Visualization    18%
  • Determine the operational characteristics of the analysis and visualization solution, Select the appropriate data analysis solution for a given scenario, Select the appropriate data visualization solution for a given scenario
  • Domain 5: Security      18%
  • Select appropriate authentication and authorization mechanisms, Apply data protection and encryption techniques, Apply data governance and compliance controls

How does personalized training work?

Analyzing skill gap and assessing business requirements
Customising curriculum with core and additional modules to fit objectives
Supporting learning implementation with consulting

Who will benefit from this training?

  • Any learner who has a minimum of 5 years of experience with common data analytics technologies
  • Any learner having at least 2 years of hands-on experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions
  • Data scientists
  • Data analysts
  • Data engineers
  • IT professionals who are involved in designing and implementing data analytics solutions

Is this training right for your team?

Frequently Asked Questions- Answered!

Upskill My Team
  • Personalised training curriculum
  • 100% Live Sessions
  • Lifetime access to recordings and material
  • Hands-on labs and assignments included
  • Consulting Support
  • Delivered by industry experts

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