Advanced Data Analytics with AWS by Joseph Conley (.ePUB)

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File Size: 10 MB

Advanced Data Analytics with AWS: Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources by Joseph Conley
Requirements: .ePUB reader, 10 MB
Overview: Master the Fundamentals of Data Analytics at Scale. Embark on a transformative journey into the realm of data analytics with AWS with this practical and incisive handbook. Begin your exploration with an insightful introduction to the fundamentals of data analytics, setting the stage for your AWS adventure. The book then covers collecting data efficiently and effectively on AWS, laying the groundwork for insightful analysis. It will dive deep into processing data, uncovering invaluable techniques to harness the full potential of your datasets. The book will equip you with advanced data analysis skills, unlocking the ability to discern complex patterns and insights. It covers additional use cases for data analysis on AWS, from predictive modeling to sentiment analysis, expanding your analytical horizons. AWS Glue is a fully managed ETL service that makes it simple and cost-effective to categorize your data, clean it, enrich it, and move it reliably between various data stores. One of the keys to Glue’s processing power is a data processing framework called Apache Spark. Spark is a powerful tool designed to handle Big Data – think of it as a supercharged engine for processing vast amounts of information quickly and efficiently. This book is ideal for aspiring data engineers, analysts, and data scientists seeking to deepen their understanding and practical skills in data engineering, data transformation, visualization, and advanced analytics. It is also beneficial for professionals and students looking to leverage AWS services for their data-related tasks.
Genre: Non-Fiction > Tech & Devices

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