You're reading from Data Wrangling on AWS

Product typeBook

Published inJul 2023

PublisherPackt

ISBN-139781801810906

Edition1st Edition

Tools

AWS

Concepts

Data Analysis

Authors (3):

Navnit Shukla

Sankar M

Sampat Palani

View More author details

What this book covers

Chapter 1, Getting Started with Data Wrangling: In the opening chapter, you will embark on a journey into the world of data wrangling and discover the power of leveraging AWS for efficient and effective data manipulation and preparation. This chapter serves as a solid foundation, providing you with an overview of the key concepts and tools you’ll encounter throughout the book.

Chapter 2, Introduction to AWS Glue DataBrew: In this chapter, you will discover the powerful capabilities of AWS Glue DataBrew for data wrangling and data preparation tasks. This chapter will guide you through the process of leveraging AWS Glue DataBrew to cleanse, transform, and enrich your data, ensuring its quality and usability for further analysis.

Chapter 3, Introducing AWS SDK for pandas: In this chapter, you will be introduced to the versatile capabilities of AWS Data Wrangler for data wrangling tasks on the AWS platform. This chapter will provide you with a comprehensive understanding of AWS Data Wrangler and how it can empower you to efficiently manipulate and prepare your data for analysis.

Chapter 4, Introduction to SageMaker Data Wrangler: In this chapter, you will discover the capabilities of Amazon SageMaker Data Wrangler for data wrangling tasks within the Amazon SageMaker ecosystem. This chapter will equip you with the knowledge and skills to leverage Amazon SageMaker Data Wrangler’s powerful features to efficiently preprocess and prepare your data for machine learning projects.

Chapter 5, Working with Amazon S3: In this chapter, you will delve into the world of Amazon Simple Storage Service (S3) and explore its vast potential for storing, organizing, and accessing your data. This chapter will provide you with a comprehensive understanding of Amazon S3 and how it can be leveraged for effective data management and manipulation.

Chapter 6, Working with AWS Glue: In this chapter, you will dive into the powerful capabilities of AWS Glue, a fully managed extract, transform, and load (ETL) service provided by AWS. This chapter will guide you through the process of leveraging AWS Glue to automate and streamline your data preparation and transformation workflows.

Chapter 7, Working with Athena: In this chapter, you will explore the powerful capabilities of Amazon Athena, a serverless query service that enables you to analyze data directly in Amazon S3 using standard SQL queries. This chapter will guide you through the process of leveraging Amazon Athena to unlock valuable insights from your data, without the need for complex data processing infrastructure.

Chapter 8, Working with QuickSight: In this chapter, you will discover the power of Amazon QuickSight, a fast, cloud-powered business intelligence (BI) service provided by AWS. This chapter will guide you through the process of leveraging QuickSight to create interactive dashboards and visualizations, enabling you to gain valuable insights from your data.

Chapter 9, Building an End-to-End Data-Wrangling Pipeline with AWS SDK for Pandas: In this chapter, you will explore the powerful combination of AWS Data Wrangler and pandas, a popular Python library for data manipulation and analysis. This chapter will guide you through the process of leveraging pandas operations within AWS Data Wrangler to perform advanced data transformations and analysis on your datasets.

Chapter 10, Data Processing for Machine Learning with SageMaker Data Wrangler: In this chapter, you will delve into the world of machine learning (ML) data optimization using the powerful capabilities of AWS SageMaker Data Wrangler. This chapter will guide you through the process of leveraging SageMaker Data Wrangler to preprocess and prepare your data for ML projects, maximizing the performance and accuracy of your ML models.

Chapter 11, Data Lake Security and Monitoring: In this chapter, you will be introduced to Identity and Access Management (IAM) on AWS and how closely Data Wrangler integrates with AWS’ security features. We will show how you can interact directly with Amazon Cloudwatch logs, query against logs, and return the logs as a data frame.

The rest of the page is locked

You have been reading a chapter from

Data Wrangling on AWS

Published in: Jul 2023Publisher: PacktISBN-13: 9781801810906

Authors (3)

Navnit Shukla

Navnit Shukla is an accomplished Senior Solution Architect with a specialization in AWS analytics. With an impressive career spanning 12 years, he has honed his expertise in databases and analytics, establishing himself as a trusted professional in the field. Currently based in Orange County, CA, Navnit's primary responsibility lies in assisting customers in building scalable, cost-effective, and secure data platforms on the AWS cloud.
Read more about Navnit Shukla

Sankar M

Sankar Sundaram has been working in IT Industry since 2007, specializing in databases, data warehouses, analytics space for many years. As a specialized Data Architect, he helps customers build and modernize data architectures and help them build secure, scalable, and performant data lake, database, and data warehouse solutions. Prior to joining AWS, he has worked with multiple customers in implementing complex data architectures.
Read more about Sankar M

Sampat Palani

Sam Palani has over 18+ years as developer, data engineer, data scientist, a startup cofounder and IT leader. He holds a master's in Business Administration with a dual specialization in Information Technology. His professional career spans across 5 countries across financial services, management consulting and the technology industries. He is currently Sr Leader for Machine Learning and AI at Amazon Web Services, where he is responsible for multiple lines of the business, product strategy and thought leadership. Sam is also a practicing data scientist, a writer with multiple publications, speaker at key industry conferences and an active open source contributor. Outside work, he loves hiking, photography, experimenting with food and reading.
Read more about Sampat Palani

Personalised recommendations for you

Based on your interests and search pattern

Et al.

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

BookAug 2023230 pages5

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages4

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages1

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

BookAug 2023684 pages

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages5

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages2

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

BookOct 2023636 pages5

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

BookAug 2023420 pages5

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

BookDec 2023240 pages

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

BookNov 2023664 pages

You're reading from Data Wrangling on AWS

What this book covers

Unlock this book and the full library FREE for 7 days

Authors (3)

Et al.

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Mastering Tableau 2023

Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

Modern Data Architecture on AWS

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

TinyML Cookbook