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Master the Fundamentals of Data Analytics at Scale
Key Features● Comprehensive guide to constructing data engineering workflows spanning diverse data sources● Expert techniques for transforming and visualizing data to extract actionable insights● Advanced methodologies for analyzing data and employing machine learning to uncover intricate patterns
Book DescriptionEmbark 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.
The final section of the book will utilize the power of data virtualization and interaction, revolutionizing the way you engage with and derive value from your data. Gain valuable insights into emerging trends and technologies shaping the future of data analytics, and conclude your journey with actionable next steps, empowering you to continue your data analytics odyssey with confidence.
What you will learn● Construct streamlined data engineering workflows capable of ingesting data from diverse sources and formats.● Employ data transformation tools to efficiently cleanse and reshape data, priming it for analysis.● Perform ad-hoc queries for preliminary data exploration, uncovering initial insights.● Utilize prepared datasets to craft compelling, interactive data visualizations that communicate actionable insights.● Develop advanced machine learning and Generative AI workflows to delve into intricate aspects of complex datasets, uncovering deeper insights.
Table of Contents1. Introduction to Data Analytics and AWS2. Getting Started with AWS3. Collecting Data with AWS4. Processing Data on AWS5. Descriptive Analytics on AWS6. Advanced Data Analysis on AWS7. Additional Use Cases for Data Analysis8. Data Visualization and Interaction on AWS9. The Future of Data Analytics10. Conclusion and Next StepsIndex
About the AuthorJoseph Conley holds a Master Of Science in Computer Science from Drexel University and a Bachelor of Science in Mathematics and Economics from the University of Scranton. He has developed large-scale, data-centric platforms for various companies and startups in the Greater Philadelphia area. Joe holds a patent for creating a system for anti-monotony detection in new home construction for master-planned communities and has also earned his AWS certificate for Data Analytics - Specialty (DAS-COI).
Joseph enjoys working on side projects and has contributed to several open-source projects. He shares his knowledge through various blogs, seminars, and online posts on social media. You can find him on Twitter/X at @jpc2_ and on his blog at jpc2.org. Beyond his tech pursuits, Joe is an avid investor and enjoys spending time researching companies and business models.
Joseph Conley holds a Master Of Science in Computer Science from Drexel University and a Bachelor of Science in Mathematics and Economics from the University of Scranton. He has developed large-scale, data-centric platforms for various companies and startups in the Greater Philadelphia area. Joe holds a patent for creating a system for anti-monotony detection in new home construction for master-planned communities and has also earned his AWS certificate for Data Analytics - Specialty (DAS-COI).
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