Description:
Editorial Reviews
About the Author
Matei Zaharia is an assistant professor of computer science at Stanford University and Chief Technologist at Databricks. He started the Spark project at UC Berkeley in 2009, where he was a PhD student, and he continues to serve as its vice president at Apache. Matei also co-started the Apache Mesos project and is a committer on Apache Hadoop. Matei’s research work was recognized through the 2014 ACM Doctoral Dissertation Award and the VMware Systems Research Award.
Reviews:
5.0 out of 5 stars Good single source for learning and using Spark in production
This book presents the main Spark concepts, particularly the v2.x Structured API in tutorial fashion using Scala and Python. Much of this information is available piecemeal online, but I found it valuable to have it ordered and explained thoroughly rather than digging through stackoverflow or trying to make sense of the docs.After presenting how Spark works and the Structured and low level RDD APIs, the book helps you deploy, monitor, and tune your application to run on a cluster. There is a detailed section on Structured Streaming explaining windowing and event time processing, plus a section on advanced machine learning analytics.
5.0 out of 5 stars Very useful book for exploiting the powerful Spark platform
Apache Spark is a powerful platform for Big Data applications that explores a lot of advanced techniques.The book describes clearly and systematically the Spark architecture and has a lot of outstanding examplesthat help the reader to become familiar with the rather brilliant Spark programming models.The presentation of the material is excellent and the explanations are quite supportive and help the understanding.It is a very nice book on the very admirable Spark system!
4.0 out of 5 stars Good intro text - *not* a recipes book
+s:+ Great intro text.+ Very detailed with lots of code samples.+ ML section is thorough (if limited in depth)+ all code is on GitHub :)+ conceptual+ tuning and optimizations sections-s:- Organization is a little choppy - to understand Structured Streamimg aggregations requires jumping back and forth to aggregations section (for example)- Copy-pasting code samples is annoying.- Kindle for Mac is sucky: resizing windows and adjusting text size breaks the flow, sometimes requiring a restart. Indexing is weird and it ”depaginates”- Could use a few sections in wide vs narrow...
5.0 out of 5 stars Better than expected
I wasn’t sure about this book initially but as I started to use spark and read the book in parallel I discovered it explained very well the behind the scene that I needed to understand. I would recommend this to people that already program in other languages such as Python and want to start using pyspark
5.0 out of 5 stars What a great way to learn Spark (pyspark for me)
Love the book. It gets hands on right away and give you both scala and python versions of code. I used databricks community version of spark. Some code is wrong. Python is sometimes but rarely missing. Highly recommend this to anyone who is looking to gain knowledge in Spark
5.0 out of 5 stars Good condition pre-owned book
Absolutely loved it. The packaging was good, received the book before time, and condition was good.
5.0 out of 5 stars Far the best Spark book
Despite big volume - 600 pages this is far the best tech book I have read so far. Very well structured, covers different levels - from beginner to expert, excellent diagrams and code examples.
3.0 out of 5 stars Gave up about half way through and switched to a better Spark book.
I find the examples being given in both Scala and Python repetitive, especially for trivial code, you don’t really need to know the language that well to understand what Spark functions are being called.Diagrams aren’t very good, a couple of circles and squares with no labels followed by paragraphs of wordy text to explain it.Doesn’t explain how things work or why you would want to do things a certain way, instead reads more like a general reference book.Gave up about half way through and switched to a better Spark book.
It's a must-have book for people who need to program in SPARK
This book is well-structured especially for people who are new to SPARK but do not need to set up things himself. From earlier chapters (page 49) readers can start to do some simple work and learn some programming. this is encouraging for people to keep learning.
Buena introducción para trabajar en SPARK y clarificar conceptos
Explicaciones claras, con muchos ejemplos en Scala y Python. Temario actualizado a 2018 y por eso no está basado en RDD, aunque también hay un capítulo para ellos.
Very good ressource to learn Spark
This is THE book to read if you want practical hands-on on Spark. I really enjoy it practical step-by-step approach.I definitely recommand it to you.Thanks to the authors.
Libro obligado
Sin duda el mejor libro para comprender cómo funciona el framework de Apache Spark y lo que puedes llegar a hacer con él. Los ejemplos con código e incluso lo que intentan explicarte en las ilustraciones son por demás claros y concisos.Qué mejor que comprar un libro en donde uno de los autores (Matei Zaharia) es uno de los creadores del Framework.Si lo quieren comprar para estudiar y obtener alguna certificación de Databricks, no lo duden, cómprenlo y será la mejor inversión para ese propósito.
Livro sensacional para quem quer ver as funcionalidades do Spark 2.2.X
Uma das únicas referências para quem quer mais sobre o que há de possibilidades além do Spark 1.6 pois em sua maioria ele aborda temas recentes. O livro é muito claro e objetivo, além de conter diversas referências de mateiras complementares. O autor com toda a certeza domina muito bem o assunto! Livro essencial para que quer entrar no mundo do Spark, com segurança e informações confiáveis, todos exemplos de código são dados tanto em Scala quanto em Python .Único ponto negativo, não do livro mas da Bolo, é que no Brasil não temos a opção de comprar em capa comum, não só para este livro mas para outros que abordam o mesmo tema.
Visit the O'Reilly Media Store
Spark: The Definitive Guide: Big Data Processing Made Simple
AED36492
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Visit the O'Reilly Media Store
Spark: The Definitive Guide: Big Data Processing Made Simple
AED36492
Quantity:
Order today to get by 7-14 business days
This item qualifies for free delivery
Imported From: United States
At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.
BOLO is not an authorized or official retailer for most brands, nor are we affiliated with manufacturers unless specifically stated on a product page. Instead, we source verified sellers, authorized distributors or directly from the manufacturer.
Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.
If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.
Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.
All product information, images, descriptions, and reviews originate from the manufacturer or from trusted sellers overseas. BOLO is not affiliated with, endorsed by, or an authorized retailer for most brands listed on our website unless stated otherwise.
While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.
Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.
BOLO operates in accordance with the laws and regulations of United Arab Emirates. Any items found to be restricted or prohibited for sale within the UAE will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in United Arab Emirates are listed on our website.
All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.
All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.
Description:
Editorial Reviews
About the Author
Matei Zaharia is an assistant professor of computer science at Stanford University and Chief Technologist at Databricks. He started the Spark project at UC Berkeley in 2009, where he was a PhD student, and he continues to serve as its vice president at Apache. Matei also co-started the Apache Mesos project and is a committer on Apache Hadoop. Matei’s research work was recognized through the 2014 ACM Doctoral Dissertation Award and the VMware Systems Research Award.
Reviews:
5.0 out of 5 stars Good single source for learning and using Spark in production
This book presents the main Spark concepts, particularly the v2.x Structured API in tutorial fashion using Scala and Python. Much of this information is available piecemeal online, but I found it valuable to have it ordered and explained thoroughly rather than digging through stackoverflow or trying to make sense of the docs.After presenting how Spark works and the Structured and low level RDD APIs, the book helps you deploy, monitor, and tune your application to run on a cluster. There is a detailed section on Structured Streaming explaining windowing and event time processing, plus a section on advanced machine learning analytics.
5.0 out of 5 stars Very useful book for exploiting the powerful Spark platform
Apache Spark is a powerful platform for Big Data applications that explores a lot of advanced techniques.The book describes clearly and systematically the Spark architecture and has a lot of outstanding examplesthat help the reader to become familiar with the rather brilliant Spark programming models.The presentation of the material is excellent and the explanations are quite supportive and help the understanding.It is a very nice book on the very admirable Spark system!
4.0 out of 5 stars Good intro text - *not* a recipes book
+s:+ Great intro text.+ Very detailed with lots of code samples.+ ML section is thorough (if limited in depth)+ all code is on GitHub :)+ conceptual+ tuning and optimizations sections-s:- Organization is a little choppy - to understand Structured Streamimg aggregations requires jumping back and forth to aggregations section (for example)- Copy-pasting code samples is annoying.- Kindle for Mac is sucky: resizing windows and adjusting text size breaks the flow, sometimes requiring a restart. Indexing is weird and it ”depaginates”- Could use a few sections in wide vs narrow...
5.0 out of 5 stars Better than expected
I wasn’t sure about this book initially but as I started to use spark and read the book in parallel I discovered it explained very well the behind the scene that I needed to understand. I would recommend this to people that already program in other languages such as Python and want to start using pyspark
5.0 out of 5 stars What a great way to learn Spark (pyspark for me)
Love the book. It gets hands on right away and give you both scala and python versions of code. I used databricks community version of spark. Some code is wrong. Python is sometimes but rarely missing. Highly recommend this to anyone who is looking to gain knowledge in Spark
5.0 out of 5 stars Good condition pre-owned book
Absolutely loved it. The packaging was good, received the book before time, and condition was good.
5.0 out of 5 stars Far the best Spark book
Despite big volume - 600 pages this is far the best tech book I have read so far. Very well structured, covers different levels - from beginner to expert, excellent diagrams and code examples.
3.0 out of 5 stars Gave up about half way through and switched to a better Spark book.
I find the examples being given in both Scala and Python repetitive, especially for trivial code, you don’t really need to know the language that well to understand what Spark functions are being called.Diagrams aren’t very good, a couple of circles and squares with no labels followed by paragraphs of wordy text to explain it.Doesn’t explain how things work or why you would want to do things a certain way, instead reads more like a general reference book.Gave up about half way through and switched to a better Spark book.
It's a must-have book for people who need to program in SPARK
This book is well-structured especially for people who are new to SPARK but do not need to set up things himself. From earlier chapters (page 49) readers can start to do some simple work and learn some programming. this is encouraging for people to keep learning.
Buena introducción para trabajar en SPARK y clarificar conceptos
Explicaciones claras, con muchos ejemplos en Scala y Python. Temario actualizado a 2018 y por eso no está basado en RDD, aunque también hay un capítulo para ellos.
Very good ressource to learn Spark
This is THE book to read if you want practical hands-on on Spark. I really enjoy it practical step-by-step approach.I definitely recommand it to you.Thanks to the authors.
Libro obligado
Sin duda el mejor libro para comprender cómo funciona el framework de Apache Spark y lo que puedes llegar a hacer con él. Los ejemplos con código e incluso lo que intentan explicarte en las ilustraciones son por demás claros y concisos.Qué mejor que comprar un libro en donde uno de los autores (Matei Zaharia) es uno de los creadores del Framework.Si lo quieren comprar para estudiar y obtener alguna certificación de Databricks, no lo duden, cómprenlo y será la mejor inversión para ese propósito.
Livro sensacional para quem quer ver as funcionalidades do Spark 2.2.X
Uma das únicas referências para quem quer mais sobre o que há de possibilidades além do Spark 1.6 pois em sua maioria ele aborda temas recentes. O livro é muito claro e objetivo, além de conter diversas referências de mateiras complementares. O autor com toda a certeza domina muito bem o assunto! Livro essencial para que quer entrar no mundo do Spark, com segurança e informações confiáveis, todos exemplos de código são dados tanto em Scala quanto em Python .Único ponto negativo, não do livro mas da Bolo, é que no Brasil não temos a opção de comprar em capa comum, não só para este livro mas para outros que abordam o mesmo tema.
Similar suggestions by Bolo
More from this brand
Similar items from “Structured Design”
Share with
Or share with link
https://www.bolo.ae/products/U1491912219