- Početna stranica /
- Knjige /
- Računala i tehnologija /
- Databases & Big Data /
- Data Modeling & Design /
- Data Engineering with Python: Work with massi...
0 ratings
Stavka #:
32821570
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
85% of respondents would recommend this to a friend
Stavka #:
32821570
BAM 113
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from SAD
0 ratings
Napišite recenziju
Na lageru
Uvezeno iz USA trgovine
QTY:
Naručite sada i dobijte ga oko Srijeda, Rujan 09
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Our Top Logistics Partners
This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
Note: Step Down Voltage Transformer required for using electronics products of SAD store (110-120). Recommended power converters Kupi sada.
What Stands Out
Data Model Design
Create efficient data models tailored to specific business needs, enhancing data storage and retrieval processes for optimal performance in data-heavy environments.
Pipeline Automation
Automate complex data workflows, reducing manual errors and increasing data processing speed, which allows teams to focus on analysis rather than repetitive tasks.
Comprehensive Learning
Offers in-depth coverage of Python tools and techniques for data engineering, empowering users to build robust data solutions with real-world applications.
Detalji o proizvodu
| Publisher | Packt Publishing |
| Publication date | October 23, 2020 |
| Language | English |
| Print length | 356 pages |
| ISBN-10 | 183921418X |
| ISBN-13 | 978-1839214189 |
| Item Weight | 1.35 pounds (610 grams) |
| Dimensions | 7.5 x 0.81 x 9.25 inches (19.1 x 2.1 x 23.5 cm) |
Who Should Buy?
-
Aspiring Data Engineers
Ideal for individuals looking to build foundational knowledge in data engineering concepts using Python effectively.
-
Developers Transitioning
Great for software developers wanting to transition into data engineering roles by learning specific data management practices.
-
Data Analysts Upgrading Skills
Perfect for data analysts wanting to deepen their understanding of data modeling and pipeline automation using Python.
-
Beginner Programmers
Not suitable for those with no programming background, as it requires a solid understanding of Python and data concepts.
OPIS PROIZVODA
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
About This Item
Take your data engineering skills to the next level with Data Engineering with Python. This comprehensive guide will equip you with the knowledge and techniques necessary to work with massive datasets, design efficient data models, and automate complex data pipelines using the power of Python. With the increasing volume and complexity of data in today's world, data engineers play a crucial role in organizing and transforming raw data into valuable insights. This book will teach you how to leverage the flexibility and scalability of Python to streamline your data engineering workflows and unlock the potential of your data. Whether you are a seasoned data engineer looking to enhance your skills or a beginner eager to dive into the world of data engineering, this book is your ultimate resource.
You will learn how to build robust data models that can handle large volumes of data and adapt to changing requirements. This includes techniques for data cleaning, data transformation, and data integration using Python. Automation is a key aspect of modern data engineering, and this book will guide you through the process of automating data pipelines with Python. You will learn how to schedule and orchestrate data pipelines, ensure data quality and reliability, and monitor and troubleshoot your workflows. In addition, this book covers best practices for Python data engineering, providing guidance on how to optimize performance, ensure scalability, and maintain code quality.
It also introduces a range of useful Python libraries and frameworks specifically designed for data engineering tasks, such as Apache Airflow, Pandas, and SQLAlchemy. To help you apply your newly acquired skills in real-world scenarios, this book includes hands-on projects and tutorials. You will explore various data engineering use cases and tackle practical challenges using Python. Whether you are working with structured or unstructured data, Data Engineering with Python will empower you to tackle complex data engineering tasks with confidence and efficiency. Get started on your data engineering journey today and unlock the full potential of your data with Python.
Imate li pitanja? Cavrljajte s nama
Pitanja i odgovori kupaca
-
pitanje:
Kako kupovati Data Engineering with Python: Work with massive online od Ubuya?
odgovor: Jednostavno je kupovati Data Engineering with Python: Work with massive online s Ubuya.. Samo trebate potražiti proizvod, odabrati način dostave tijekom odjave i dobiti ga na svoju lokaciju. -
pitanje:
Je li Data Engineering with Python: Work with massive dostupan za online kupnju u Bosnia and Herzegovina?
odgovor: Da, na Ubuyu Bosnia and Herzegovina ovaj proizvod vam je dostupan za kupnju po razumnoj cijeni.. Data Engineering with Python: Work with massive nije dostupan lokalno, ali možete nam povjeriti naše usluge ekspresne dostave. -
pitanje:
Koliko dugo je potrebno da dobijete proizvod nakon narudžbe?
odgovor: Vrijeme isporuke vašeg naručenog proizvoda ovisi o tome što ste naručili i načinu dostave koji ste odabrali.. Predviđeno vrijeme dostave navedeno je tijekom procesa naplate, stoga budite bezbrižni prilikom kupovine.
Data Modeling & Design Editorial Review
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python is a comprehensive guide that provides a solid overview of pipelining and database connections, particularly useful for those working with batch and stream data flows. Readers appreciate the many practical examples featuring tools like Pandas, Kafka, Spark, and NiFi, making it a valuable resource even in a CI/CD environment. However, it's noted that the book could benefit from better explanations about specific tools and the Python versions used. Overall, it's a good addition for anyone looking to bridge the gap into data engineering, despite some outdated content.
Customer Reviews & Ratings
1 ocjene kupaca
-
5 zvjezdica
100%
-
4 zvjezdica
0%
-
3 zvjezdica
0%
-
2 zvjezdica
0%
-
1 zvjezdica
0%
Recenzirajte ovaj proizvod
Podijelite svoje misli s drugim kupcima
Pros
- Solid explanations of data pipelining concepts
- Includes practical examples of popular tools
- Helpful for beginners learning data engineering
- Illustrative content enhances understanding
- Useful in CI/CD environments with modern tools
Protiv
- Some content feels outdated and could be improved
Product Price History
Važne informacije
- Ograničenja: imajte na umu da jamstvo možda ne vrijedi za proizvode koji se dostavljaju u inozemstvo; servis možda neće biti dostupan; priručnici proizvoda, upute i sigurnosna upozorenja možda nisu na jeziku zemlje odredišta; proizvodi (i prateći materijali) možda nisu u skladu sa standardima, specifikacijama i zahtjevima za označavanje zemlje odredišta; proizvod možda nije usklađen s naponom struje i drugim električnim standardima (zbog čega će možda trebati adapter ili pretvarač). Primatelj je odgovoran za provjeru može li proizvod prema važećim zakonima biti uvezen u zemlju odredišta. Kad naručujete od Ubuya ili njegovih partnera, primatelj se smatra registriranim uvoznikom i mora se pridržavati svih zakona i propisa zemlje odredišta.
- Svi proizvodi navedeni na Ubuyu nisu za prodaju, jer je Ubuy globalna tražilica. Proizvodi podliježu propisima o izvozu i trgovini.
BAM 113
Naručite sada i dobijte ga oko Srijeda, Rujan 09
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
Značajke i prednosti
- Learn data architectures and how to prepare and optimize data using Python
- Understand ETL and building data pipelines to work with large datasets
- Transform and analyze data to gain insights
- Build and deploy production-ready data pipelines
- Ideal for data analysts, ETL developers, and those looking to transition to data engineering or advance their skills
- No previous knowledge of data engineering required
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.