Joseph Conley
SKU: 9788197081897
ISBN: 9788197081897
eISBN: 9788197081842
Rights: Worldwide
Author Name: Joseph Conley
Publishing Date: 17-April-2024
Dimension: 7.5*9.25 Inches
Binding: Paperback
Page Count: 252
Download code from GitHubKey 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 Description
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.
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 adhoc 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.
Who is this book for?
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 datarelated tasks.
2. Getting Started with AWS
3. Collecting Data with AWS
4. Processing Data on AWS
5. Descriptive Analytics on AWS
6. Advanced Data Analysis on AWS
7. Additional Use Cases for Data Analysis
8. Data Visualization and Interaction on AWS
9. The Future of Data Analytics
10. Conclusion and Next Steps
Index
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 largescale, datacentric platforms for various companies and startups in the Greater Philadelphia area. Joe holds a patent for creating a system for antimonotony detection in new home construction for masterplanned communities and has also earned his AWS certificate for Data Analytics Specialty (DASCOI).
Joseph enjoys working on side projects and has contributed to several opensource 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.
When not working on technical projects, Joe enjoys reading, and golfing, and is a lifelong Philadelphia sports fan. He enjoys spending his summers at the Jersey Shore with his wife Janine and four young boys.
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Gaurav H Kankaria, with nearly a decade of experience in Data and Analytics, specializes in driving business growth for retail and financial clients. His expertise lies in architecting dataintensive solutions and leveraging AI/ML technologies to solve complex challenges.
Gaurav has a proven track record of delivering impactful results, from designing scalable data architectures to implementing predictive analytics solutions. He has served a diverse range of clients, spanning retail and financial sectors, where he has led projects to drive topline and bottomline improvements.
Gaurav holds an MBA in Finance from the Indian School of Business and a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from Vellore Institute of Technology. He is also certified in AWS Cloud Practitioner, AWS Solutions Architect Professional, AWS Data Analytics Specialty, and AWS Security Specialty.
As a technical reviewer for the book, Gaurav has contributed his expertise to ensure its quality and accuracy. Passionate about sharing his knowledge, he looks forward to the book's launch, aiming to empower professionals with actionable insights and expertise.