Python for Data Engineering and Analytics (Paperback)
Avis Gabe
Sold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since 12 October 2005
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since 12 October 2005
Condition: New
Quantity: 1 available
Add to basketPaperback. Are you ready to master the art of building efficient, scalable data pipelines with Python? Python for Data Engineering and Analytics offers a clear, practical guide to designing, automating, and optimizing data workflows that power today's data-driven organizations.This book takes you step-by-step through foundational concepts and hands-on techniques-covering data ingestion, transformation, orchestration, and advanced analytics. Learn how to handle diverse data sources, manage environments, implement robust testing, and integrate machine learning within your pipelines. Explore modern architectures like streaming, batch processing, and cloud-native deployments to build resilient systems that scale effortlessly.What makes this book stand out? It covers everything you need in one place, including: Foundations of data engineering and Python essentialsData acquisition from files, databases, APIs, and cloud storageCleaning and transforming data at scale with Pandas, Dask, and PySparkDesigning data models, managing schema evolution, and data warehousingBuilding, automating, and orchestrating ETL/ELT pipelines with Airflow and PrefectWorking with big data and real-time streaming technologiesAdvanced analytics, visualization, and interactive dashboard creationIntegrating machine learning into data workflowsCloud data platform architectures, serverless engineering, and cost optimizationBest practices for security, governance, version control, testing, and collaborationReal-world case studies demonstrating end-to-end solutionsWhether you're a data engineer, analyst, or software developer looking to expand your skillset, this book equips you with practical strategies and code examples to confidently build production-ready pipelines. Embrace modern data engineering principles and accelerate your ability to turn raw data into actionable insights.Start building scalable, reliable, and efficient data systems today-transform your data workflows and drive meaningful business outcomes with Python. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller Inventory # 9798285304364
Are you ready to master the art of building efficient, scalable data pipelines with Python? Python for Data Engineering and Analytics offers a clear, practical guide to designing, automating, and optimizing data workflows that power today’s data-driven organizations.
This book takes you step-by-step through foundational concepts and hands-on techniques—covering data ingestion, transformation, orchestration, and advanced analytics. Learn how to handle diverse data sources, manage environments, implement robust testing, and integrate machine learning within your pipelines. Explore modern architectures like streaming, batch processing, and cloud-native deployments to build resilient systems that scale effortlessly.
What makes this book stand out? It covers everything you need in one place, including:
Foundations of data engineering and Python essentials
Data acquisition from files, databases, APIs, and cloud storage
Cleaning and transforming data at scale with Pandas, Dask, and PySpark
Designing data models, managing schema evolution, and data warehousing
Building, automating, and orchestrating ETL/ELT pipelines with Airflow and Prefect
Working with big data and real-time streaming technologies
Advanced analytics, visualization, and interactive dashboard creation
Integrating machine learning into data workflows
Cloud data platform architectures, serverless engineering, and cost optimization
Best practices for security, governance, version control, testing, and collaboration
Real-world case studies demonstrating end-to-end solutions
Whether you’re a data engineer, analyst, or software developer looking to expand your skillset, this book equips you with practical strategies and code examples to confidently build production-ready pipelines. Embrace modern data engineering principles and accelerate your ability to turn raw data into actionable insights.
Start building scalable, reliable, and efficient data systems today—transform your data workflows and drive meaningful business outcomes with Python.
"About this title" may belong to another edition of this title.
We guarantee the condition of every book as it¿s described on the Abebooks web sites. If you¿ve changed
your mind about a book that you¿ve ordered, please use the Ask bookseller a question link to contact us
and we¿ll respond within 2 business days.
Books ship from California and Michigan.
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 Grand Eagle Retail, Bensenville, Illinois, U.S.A., 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:
Orders usually ship within 2 business days. All books within the US ship free of charge. Delivery is 4-14 business days anywhere in the United States.
Books ship from California and Michigan.
If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.
| Order quantity | 6 to 16 business days | 6 to 14 business days |
|---|---|---|
| First item | £ 0.00 | £ 0.00 |
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.