Data Wrangling on AWS: Clean and organize complex data for analysis
Language: English
Published by Packt Publishing, 2023
- Softcover
- Used
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
AbeBooks seller since January 28, 2020
Condition: Used - As new
£ 40.51
Quantity: Over 20 available
Add to basketItem description from seller
Unread book in perfect condition.
Seller Inventory # 46206231
- Title
- Data Wrangling on AWS: Clean and organize complex data for analysis
- Author
- Navnit Shukla; Sankar M; Sampat Palani
- Publisher
- Packt Publishing
- Publication year
- 2023
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1801810907
- ISBN 13
- 9781801810906
Revamp your data landscape and implement highly effective data pipelines in AWS with this hands-on guide
Purchase of the print or Kindle book includes a free PDF eBook
Key Features
- Execute extract, transform, and load (ETL) tasks on data lakes, data warehouses, and databases
- Implement effective Pandas data operation with data wrangler
- Integrate pipelines with AWS data services
Book Description
Data wrangling is the process of cleaning, transforming, and organizing raw, messy, or unstructured data into a structured format. It involves processes such as data cleaning, data integration, data transformation, and data enrichment to ensure that the data is accurate, consistent, and suitable for analysis. Data Wrangling on AWS equips you with the knowledge to reap the full potential of AWS data wrangling tools.
First, you’ll be introduced to data wrangling on AWS and will be familiarized with data wrangling services available in AWS. You’ll understand how to work with AWS Glue DataBrew, AWS data wrangler, and AWS Sagemaker. Next, you’ll discover other AWS services like Amazon S3, Redshift, Athena, and Quicksight. Additionally, you’ll explore advanced topics such as performing Pandas data operation with AWS data wrangler, optimizing ML data with AWS SageMaker, building the data warehouse with Glue DataBrew, along with security and monitoring aspects.
By the end of this book, you’ll be well-equipped to perform data wrangling using AWS services.
What you will learn
- Explore how to write simple to complex transformations using AWS data wrangler
- Use abstracted functions to extract and load data from and into AWS datastores
- Configure AWS Glue DataBrew for data wrangling
- Develop data pipelines using AWS data wrangler
- Integrate AWS security features into Data Wrangler using identity and access management (IAM)
- Optimize your data with AWS SageMaker
Who This Book Is For
This book is for data engineers, data scientists, and business data analysts looking to explore the capabilities, tools, and services of data wrangling on AWS for their ETL tasks. Basic knowledge of Python, Pandas, and a familiarity with AWS tools such as AWS Glue, Amazon Athena is required to get the most out of this book.
Table of Contents
- Introduction to Data Wrangling on AWS
- Working with AWS GlueDataBrew
- Introducing AWS Data Wrangler
- Introducing Amazon SageMaker Data Wrangler
- Working with Amazon S3
- Working with AWS Glue
- Working with Athena
- Working with Quicksight
- Perform Pandas operation with AWS Data Wrangler
- Optimizing ML data with AWS SageMaker Data Wrangler
- Security and Monitoring
"Synopsis" may belong to another edition of this title.
About the Author
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.
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.
"About the title" may belong to another edition of this title.
GreatBookPricesUK
Woodford Green, United Kingdom
AbeBooks seller since January 28, 2020
Shipping rates from United Kingdom to U.S.A.
| Item | 10 to 27 business days | 10 to 30 business days |
|---|---|---|
| First item | £ 15.00 | £ 15.00 |
Payment methods
Store description
GreatBookPrices.com is your top source for finding new books at the absolute lowest prices, guaranteed ! We offer big discounts - everyday - on millions of titles in virtually any category, from Architecture to Zoology -- and everything in between. Discover great deals and super-savings, on professional books, text book titles, the newest computer guides, or your favorite fiction authors. You'll find it all - at HUGE SAVINGS - at GreatBookPrices. Browse through our complete online product catalog today. Serving customers around the world for years, we help thousands find just the books they're looking for -- at incredibly low, bargain prices.…
Specialty
TradeBooksSeller's business information
Far Corner Europe Limited
19-20 Bourne Court, 19-20 Bourne Court
Woodford Green, United Kingdom IG8 8HD
Terms of sale
Company Name: GreatBookPricesUK
Legal Entity: Far Corner Europe Limited
Address: 19-20 Bourne Court, Southend Road, Woodford Green Essex, UK IG8 8HD
Registration #: 10691061, VAT GB307932304
Authorized representative: Danielle Hainsey
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to GreatBookPricesUK, Castle Donington, Derby, United Kingdom, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Our warehouses across the globe are fully operational without substantial delays. We are working hard and continue to overcome the daily challenges presented by COVID-19. There have been reports that delivery carriers are experiencing large delays resulting in longer than normal deliveries to customers. We would like to apologize in advance if your item arrives later than the expected delivery due date.
Internal processing of your order will take about 1-2 business days. Please allow an additional 4-14 business days for Royal Mail delivery.