Nuclio Learning

Arturo Lorenzo

Participants will gain hands-on experience with AWS services like Amazon S3, Glue, Athena, and QuickSight. The course covers data ingestion, storage, processing, and visualization, enabling learners to implement comprehensive Big Data solutions in AWS.

Data Analysis for Big Data in AWS

Introduction to AWS, its history, popular services, and its role in data analysis. Overview of Big Data and its characteristics.

Fundamentals of AWS and Big Data

Detailed exploration of Amazon S3, data management, lifecycle rules, and use cases in Big Data scenarios.

Data Storage in AWS

Utilizing AWS Lambda for serverless code execution, data ingestion in data lakes, and orchestration of auxiliary processes in Big Data architectures.

Data Ingestion in S3

Processing distributed data with PySpark in Amazon Glue Notebooks, exploring and processing structured and unstructured data.

Data Processing in AWS

Using Amazon Glue Data Catalog and Amazon Athena for ad hoc queries on processed data, creating databases and schemas.

Data Querying in AWS

Introduction to Amazon QuickSight, creating dashboards, and the importance of SPICE for enhancing reports.

Data Visualization and Communication of Results

Using AWS Step Functions for orchestrating data workflows, integrating various AWS services for efficient data handling.

Workflow Orchestration

Guidance on advancing as a cloud data analyst, finding jobs in Big Data, and information about AWS certifications.

Final Recommendations and Next Steps

This certification course provides in-depth knowledge and skills to utilize AWS for effective data management, processing, and analysis. Learn to leverage scalable AWS infrastructure to handle and analyze large data sets efficiently.

Data analysts looking to enhance their skills in AWS infrastructure for large-scale data analysis.

Data Analysts

Data engineers interested in specializing in cloud-based data analysis using AWS services.

Data Engineers

Professionals in Big Data seeking to deepen their understanding and practical skills in AWS for data analysis.

Big Data Professionals

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Data Analysis for Big Data in AWS

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