Knygos.lt klubas Knygos.lt nariams
82,66 €
-30%
Įprastai
118,09 €
Fundamentals of Data Engineering
Fundamentals of Data Engineering
Knygos.lt klubas Knygos.lt nariams
82,66 €
-30%
Įprastai
118,09 €
  • Išsiųsime per 12–18 d.d.
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to st…
  • Leidėjas:
  • Puslapiai: 426
  • ISBN-10: 1098108302
  • ISBN-13: 9781098108304
  • Formatas: 17.8 x 23.3 x 2.3 cm, minkšti viršeliai
  • Kalba: Anglų

Fundamentals of Data Engineering (el. knyga) (skaityta knyga) | knygos.lt

Atsiliepimai

(4.18 Goodreads įvertinimas)
Įvertink ir tu! Visi atsiliepimai

Aprašymas

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.

This book will help you:

  • Get a concise overview of the entire data engineering landscape
  • Assess data engineering problems using an end-to-end framework of best practices
  • Cut through marketing hype when choosing data technologies, architecture, and processes
  • Use the data engineering lifecycle to design and build a robust architecture
  • Incorporate data governance and security across the data engineering lifecycle
Knygos.lt klubas
Knygos.lt nariams
82,66 €
-30%
Įprastai
118,09 €
Kaina registruotiems pirkėjams
Prisijunkite ir už šią prekę
gausite 1,18 Knygų Eurų!?
Išsiųsime per 12–18 d.d.
Įsigykite dovanų kuponą
Daugiau
  • Autorius: Joe Reis
  • Leidėjas:
  • Puslapiai: 426
  • ISBN-10: 1098108302
  • ISBN-13: 9781098108304
  • Formatas: 17.8 x 23.3 x 2.3 cm, minkšti viršeliai
  • Kalba: Anglų

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.

This book will help you:

  • Get a concise overview of the entire data engineering landscape
  • Assess data engineering problems using an end-to-end framework of best practices
  • Cut through marketing hype when choosing data technologies, architecture, and processes
  • Use the data engineering lifecycle to design and build a robust architecture
  • Incorporate data governance and security across the data engineering lifecycle

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
(rodomas nebus)
Knygos.lt komentarų taisyklės
[{"option":"222","probability":1,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba631ba76d1782294065.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"221","probability":1.3,"style":{"backgroundColor":"#e1032e"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba61ea9f381782294046.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"220","probability":1.6,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba60167d251782294017.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"219","probability":1.5,"style":{"backgroundColor":"#e2022e"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba5ea1c47d1782293994.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"218","probability":1.5,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba5d38b4a21782293971.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"217","probability":1.6,"style":{"backgroundColor":"#e3022e"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba5b981b7a1782293945.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"216","probability":1.4,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba58b535551782293899.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"215","probability":0.1,"style":{"backgroundColor":"#ffe01a"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba53a6496f1782293818.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}}]