AWS Data Analytics Fundamentals Certification: Master Big Data, ML, and AI
AWS Data Analytics Fundamentals Certification is meant to certify technical proficiency in constructing, implementing, protecting, and sustaining data lakes and analytical solutions in the AWS ecosystem. This certification aims at those people that work with AWS services for Big Data, data analysis, machine learning engineers and scientists, data analysts, and data engineers. It is evident that candidates acquiring this have practical ability to implement, design, and manage scalable data frameworks using AWS services such as Amazon EMR, Amazon Redshift, Amazon Athena, and Amazon Glue, as well as Amazon SageMaker. This AWS Data Analytics Fundamentals Certification in Saint Helena will provide a PCMA booster an opportunity to boost the career and evidence the competency in data analytics on AWS.
What are the key AWS services used for data ingestion, storage, processing, and analysis?
AWS offers a comprehensive suite of services for data ingestion, storage, processing, and analysis. Amazon S3 is a highly scalable and durable object storage service for storing data of any kind and size. Amazon Kinesis is a fully managed service for real-time processing of streaming data. Amazon EMR is a managed cluster platform that simplifies running big data frameworks like Apache Spark and Hadoop. Amazon Redshift is a fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all data using standard SQL queries. Amazon Athena is a serverless query service that makes it easy to analyze data directly in S3 using standard SQL. Amazon SageMaker is a fully managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models.
AWS Data Analytics Training: Master S3, Redshift, Athena, Glue, and SageMaker
AWS Data Analytics Fundamentals Training in Saint Helena is the accreditation for data lake and advanced analytics for AWS platform. It must be noted that for appearing in this exam, a candidate should extensively prepare and focus mainly on basic AWS services such as Amazon S3, Amazon Redshift, Amazon Athena, Amazon Glue, and Amazon SageMaker. They gain practical experience in data ingestion, transformation, storage, analysis, and data visualization. There are areas that are probed during AWS Data Analytics Fundamentals Exam, and these include data architecture, data engineering, data warehousing, data lakes, data processing, machine learning, data security, and compliance. These aptitudes prove that the successful candidates know the Amazon Web Services in data analytics services as well as their exact capability in implementing effective solutions in data analytics.
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AWS Data Analytics Fundamentals Certification Exam Details | |
Exam Name | AWS Data Analytics Fundamentals Certification Exam |
Exam Format | Multiple choice |
Total Questions | 30 Questions |
Passing Score | 70% |
Exam Duration | 60 minutes |
Key Features of AWS Data Analytics Fundamentals Training in Saint Helena
AWS Data Analytics Fundamentals Certification Training in Saint Helena provides learners with all necessary knowledge needed for practicing in data analytics on AWS. This intense program helps participants to understand foundational AWS services, including Amazon S3, Amazon Redshift, Amazon Athena, Amazon Glue, and Amazon SageMaker. The use of simple and real examples ensures that learners get firsthand experience on data ingestion, transformation, storage, analysis, and visualization. Areas discussed in training consist of data architecture, data engineering, data warehousing, data lakes, data processing, data and machine learning, data security, and compliance. At the end of AWS Data Analytics Fundamentals Certification, learners will have the skills to solve data problems, establish data avenues, and apply sophisticated analytics interventions. Thus, Unichrone’s training delivered by experts makes a learner ready to compete in ICT market as data engineers, data analysts, or data scientists; they are made job-ready for working with AWS Cloud and services.
- 1 Day Interactive Instructor –led Online Classroom or Group Training in Saint Helena
- Course study materials designed by subject matter experts
- Mock Tests to prepare in a best way
- Highly qualified, expert & accredited trainers with vast experience
- Enrich with Industry best practices and case studies and present trends
- AWS Data Analytics Fundamentals Training Course adhered with International Standards
- End-to-end support via phone, mail, and chat
- Convenient Weekday/Weekend AWS Data Analytics Fundamentals Training Course schedule in Saint Helena
AWS Data Analytics Fundamentals Certification Benefits
Higher Salary
With this renowned credential, aspirants earn higher salary packages when compared to non-certified professionals in the field
Individual accomplishments
Aspirants can look for higher career prospects at an early stage in their life with the most esteemed certification
Gain credibility
Owning the certification makes it easier to earn the trust and respect of professionals working in the same field
Rigorous study plan
The course content is prescribed as per the exam requirements, covering the necessary topics to ace the exam in the first attempt
Diverse job roles
Attaining the certification enhances the spirit of individuals to pursue diverse job roles in the organization
Sophisticated skillset
With this certification, individuals acquire refined skills and techniques required to play their part in an organization
AWS Data Analytics Fundamentals Certification Course Curriculum
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Module 1: Introduction to Data Analysis Solutions
Topics
- ·Data Analytics and Data Analysis Concepts
- ·Introduction to the Challenges of Data Analytics
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Module 2: Volume – Data Storage
Topics
- ·Amazon S3
- ·Data Lakes
- ·Data Storage Methods
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Module 3: Velocity – Data Processing
Topics
- ·Data Processing Methods
- ·Batch Data Processing
- ·Stream Data Processing
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Module 4: Variety – Data Structure and Types
Topics
- ·Source Data Storage
- ·Structured Data Stores
- ·Semistructured and Unstructured Data Stores
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Module 5: Veracity – Cleansing and Transformation
Topics
- ·Understanding Data Integrity
- ·Understanding Database Consistency
- ·Introduction to the ETL Process
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Module 6: Value – Reporting and Business Intelligence
Topics
- ·Analyzing Data
- ·Visualizing Data
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Module 7: Key Takeaways
Topics
- ·Putting the Pieces Together