Analyzing Data on AWS from Pluralsight

Studying for the Amazon Certified Data Analytics - Specialty exam, or need to do Big Data Analytics on AWS? In this course, you’ll learn four Amazon Analytics services—specifically Redshift, Elasticsearch, Kinesis Data Analytics, and Athena.

Amazon offers four powerful services for data analytics. Only, there’s a lot you need to know to use them effectively.

In this course, Analyzing Data on AWS,

First, you’ll learn how to analyze streaming log files or other text data with Elasticsearch and how to visualize the data with Kibana. Next, you’ll discover how to directly query data in S3 using Amazon Athena along with the Glue Data Catalog and Glue crawlers. Then, you’ll explore SQL queries on real time streaming data with Kinesis Data Analytics. Finally, you’ll learn how to design and use Amazon’s data warehouse—Redshift.

When you’re finished with this course, you’ll have learned key topics covered by the Amazon Data Analytics - Specialty exam, and be ready to create your own data analytics projects on AWS.

This certification from Amazon Web Services validates that you're an expert in AWS data lakes and analytics products.

This course is ideal for anyone preparing for the AWS Certified Data Analytics - Specialty Certification, or who would like to create their own data analytics projects on AWS.

In this course, Analyzing Data on AWS, you’ll learn to configure and use Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift - key topics covered in the Amazon Data Analytics - Specialty exam.

As long as you already know some SQL and have some skills with Amazon's cloud, you're ready for this course.

What's inside

Syllabus

Course Overview

Data Analytics on AWS

Amazon Elasticsearch

Amazon Athena

Kinesis Data Analytics

Amazon Redshift

Course Summary

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Ideal for individuals preparing for the AWS Certified Data Analytics - Specialty Certification or seeking to create data analytics projects on AWS

Introduces four key Amazon Analytics services: Redshift, Elasticsearch, Kinesis Data Analytics, and Athena

Taught by Clarke Bishop, an experienced instructor in AWS data analytics

Covers essential topics from the Amazon Data Analytics - Specialty exam

Emphasizes hands-on learning through configuring and using Amazon data analytics services

Assumes prior knowledge of SQL and some familiarity with Amazon's cloud services

Career center

Learners who complete Analyzing Data on AWS will develop knowledge and skills that may be useful to these careers:

Big Data Analyst

Big Data Analysts play a key role in the field of data analytics. The course Analyzing Data on AWS can help you build a foundation towards this career. It introduces you to four Amazon Analytics services, including Redshift, Elasticsearch, Kinesis Data Analytics, and Athena, equipping you with the skills to analyze big data effectively. With hands-on experience in these tools, you'll gain the ability to manage large volumes of data, extract insights, and generate reports. This will enable you to contribute to data-driven decision-making and derive meaningful value from big data.

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Data Analyst

As a Data Analyst, you will focus on analyzing data to identify trends, patterns, and insights. To succeed in this role, you need a strong understanding of data analysis techniques and tools. The Analyzing Data on AWS course provides a great starting point by introducing you to four key Amazon Analytics services. Through hands-on exercises, you'll learn how to query data in S3, analyze streaming data, and design data warehouses. These skills will help you effectively extract meaningful insights from data and support decision-making in various industries.

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Data Engineer

Data Engineers are responsible for designing, building, and maintaining data pipelines and infrastructure. The Analyzing Data on AWS course can help you develop the necessary skills for this role. You'll gain proficiency in Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. These tools are essential for handling large volumes of data, ensuring data quality, and building efficient data processing systems. By completing this course, you'll be well-equipped to contribute to the design and implementation of data pipelines that support data-driven applications.

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Database Administrator

Database Administrators are responsible for managing and maintaining databases, ensuring their availability and performance. The Analyzing Data on AWS course can enhance your skills in this field. You'll gain experience with Amazon Redshift, a powerful data warehouse service. Through hands-on exercises, you'll learn how to design, configure, and optimize Redshift clusters. This knowledge will enable you to effectively manage databases, ensuring data integrity and supporting data-intensive applications.

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Data Scientist

Data Scientists use their expertise in data analysis, machine learning, and statistics to uncover insights from data. Analyzing Data on AWS can provide a strong foundation for this career path. The course introduces you to Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. These tools are essential for handling large datasets, performing data analysis, and building machine learning models. By gaining proficiency in these services, you'll be well-prepared to contribute to data science projects and drive data-driven decision-making.

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Machine Learning Engineer

Machine Learning Engineers develop and deploy machine learning models to solve real-world problems. To excel in this role, you need a strong understanding of data analysis techniques and tools. Analyzing Data on AWS can help you build a foundation in this area. You'll gain experience with Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. These tools are commonly used in machine learning pipelines for data preparation, feature engineering, and model evaluation. By mastering these services, you'll enhance your ability to develop and deploy effective machine learning solutions.

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Cloud Architect

Cloud Architects design and manage cloud computing solutions. The Analyzing Data on AWS course can provide valuable insights into cloud-based data analytics. You'll gain experience with Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. These services offer scalable and cost-effective solutions for data storage, processing, and analysis. By understanding the capabilities and limitations of these tools, you'll be better equipped to design and implement cloud-based data analytics solutions that meet the needs of your organization.

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Data Architect

Data Architects design and manage data architectures to meet the needs of an organization. Analyzing Data on AWS can provide a strong foundation for this role. You'll gain experience with Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. These services offer a wide range of capabilities for data storage, processing, and analysis. By understanding how these tools can be combined to create scalable and efficient data architectures, you'll be well-prepared to design and implement data solutions that support the growth and success of your organization.

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Business Analyst

Business Analysts use data to identify and solve business problems. Analyzing Data on AWS can enhance your skills in this area. You'll gain experience with Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. These tools enable you to access, analyze, and visualize data from various sources. By mastering these services, you'll be able to extract meaningful insights from data, identify trends and patterns, and support decision-making processes within your organization.

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Data Visualization Analyst

Data Visualization Analysts specialize in presenting data in a clear and visually appealing way. Analyzing Data on AWS can provide valuable skills for this role. You'll gain experience with Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. These services offer powerful data visualization capabilities that enable you to create interactive dashboards, charts, and graphs. By mastering these tools, you'll be well-equipped to transform complex data into compelling visuals that communicate insights effectively.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to analyze data and make predictions. Analyzing Data on AWS can provide a strong foundation for this role. You'll gain experience with Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. These services offer scalable and cost-effective solutions for data storage, processing, and analysis. By understanding the capabilities and limitations of these tools, you'll be well-equipped to develop and implement quantitative models that support decision-making in various industries.

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Market Research Analyst

Market Research Analysts conduct research on markets and consumer behavior. Analyzing Data on AWS can provide valuable skills for this role. You'll gain experience with Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. These services enable you to access, analyze, and visualize data from various sources, including social media, surveys, and market research reports. By mastering these tools, you'll be able to extract meaningful insights from data, identify trends and patterns, and support decision-making processes within your organization.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to improve the efficiency and effectiveness of systems. Analyzing Data on AWS can provide a strong foundation for this role. You'll gain experience with Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. These services offer scalable and cost-effective solutions for data storage, processing, and analysis. By understanding the capabilities and limitations of these tools, you'll be well-equipped to develop and implement analytical models that optimize operations and decision-making.

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Financial Analyst

Financial Analysts use data to make informed decisions about investments and financial strategies. Analyzing Data on AWS can provide valuable skills for this role. You'll gain experience with Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. These services offer scalable and cost-effective solutions for data storage, processing, and analysis. By understanding the capabilities and limitations of these tools, you'll be well-equipped to analyze financial data, identify trends and patterns, and develop investment recommendations.

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Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. Analyzing Data on AWS can provide a strong foundation for this role. You'll gain experience with Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. These services offer scalable and cost-effective solutions for data storage, processing, and analysis. By understanding the capabilities and limitations of these tools, you'll be well-equipped to develop and implement actuarial models that assess risk and support decision-making in various industries.

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Analyzing Data on AWS

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