Pig Design Patterns und über 1,5 Millionen weitere Bücher verfügbar für Amazon Kindle. Erfahren Sie mehr
EUR 43,86
  • Alle Preisangaben inkl. MwSt.
Auf Lager.
Verkauf und Versand durch Amazon.
Geschenkverpackung verfügbar.
Menge:1
Ihren Artikel jetzt
eintauschen und
EUR 8,75 Gutschein erhalten.
Möchten Sie verkaufen?
Zur Rückseite klappen Zur Vorderseite klappen
Anhören Wird wiedergegeben... Angehalten   Sie hören eine Probe der Audible-Audioausgabe.
Weitere Informationen
Alle 2 Bilder anzeigen

Pig Design Patterns (Englisch) Taschenbuch – 17. April 2014


Alle 2 Formate und Ausgaben anzeigen Andere Formate und Ausgaben ausblenden
Amazon-Preis Neu ab Gebraucht ab
Kindle Edition
"Bitte wiederholen"
Taschenbuch
"Bitte wiederholen"
EUR 43,86
EUR 43,86 EUR 49,49
5 neu ab EUR 43,86 1 gebraucht ab EUR 49,49
Jeder kann Kindle Bücher lesen — selbst ohne ein Kindle-Gerät — mit der KOSTENFREIEN Kindle App für Smartphones, Tablets und Computer.


Produktinformation


Produktbeschreibungen

Über den Autor und weitere Mitwirkende

Pradeep Pasupuleti

Pradeep Pasupuleti has over 16 years of experience in architecting and developing distributed and real-time data-driven systems. Currently, his focus is on developing robust data platforms and data products that are fuelled by scalable machine-learning algorithms, and delivering value to customers by addressing business problems by juxtaposing his deep technical insights into Big Data technologies with future data management and analytical needs. He is extremely passionate about Big Data and believes that it will be the cradle of many innovations that will save humans their time, money, and lives.

He has built solid data product teams with experience spanning through every aspect of data science, thus successfully helping clients to build an end-to-end strategy around how their current data architecture can evolve into a hybrid pattern that is capable of supporting analytics in both batch and real time—all of this is done using the lambda architecture. He has created COE's (Center of Excellence) to provide quick wins with data products that analyze high-dimensional multistructured data using scalable natural language processing and deep learning techniques.

He has performed roles in technology consulting advising Fortune 500 companies on their Big Data strategy, product management, systems architecture, social network analysis, negotiations, conflict resolution, chaos and nonlinear dynamics, international policy, high-performance computing, advanced statistical techniques, risk management, marketing, visualization of high dimensional data, human-computer interaction, machine learning, information retrieval, and data mining. He has a strong experience of working in ambiguity to solve complex problems using innovation by bringing smart people together.

His other interests include writing and reading poetry, enjoying the expressive delights of ghazals, spending time with kids discussing impossible inventions, and searching for archeological sites.

You can reach him at http://www.linkedin.com/in/pradeeppasupuleti and pasupuleti.pradeepkumar@gmail.com.


In diesem Buch (Mehr dazu)
Ausgewählte Seiten ansehen
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
Hier reinlesen und suchen:

Kundenrezensionen

Es gibt noch keine Kundenrezensionen auf Amazon.de
5 Sterne
4 Sterne
3 Sterne
2 Sterne
1 Sterne

Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 4 Rezensionen
3 von 3 Kunden fanden die folgende Rezension hilfreich
great book with real world use cases 17. Juni 2014
Von mingxue wang - Veröffentlicht auf Amazon.com
Format: Taschenbuch
As usual from Packt Publishing, this book has a lot of practical tutorials and code examples. It is easy to follow and get things work. This book covers solving patterns for almost all problems which were encountered during my work. It is definitely a must-have Pig user manual.

I give it 5 stars, because of its use cases and machine learning algorithm implementations. It is not simple to design and implement advanced analytic algorithms in Pig. This book covers a large amount of machine learning use cases which I like it a lot.
3 von 3 Kunden fanden die folgende Rezension hilfreich
Book for serious Pig programmers 27. Juli 2014
Von Angelo Khatib - Veröffentlicht auf Amazon.com
Format: Taschenbuch
It's not easy to find books about Apache Pig, searching on the web examples that fit your needs is a hard job.
Finally "Pig Design Patterns" has arrived and has, immediately, become my source book where I have found answers to a lot of my questions.
I've discovered different patterns that exactly fit what I was looking for.
This book should be adopted by every 'serious Pig programmer'.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Helped me tremendously! 3. Oktober 2014
Von Srini M - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Well structured and articulated. A must read for all bigdata developers, data scientists as well as the tech exec. Kudos to Pradeep for organizing the subject such that it builds on itself and takes the readers to whatever depth of knowledge they are seeking. This book has become my "go-to" for architecture, ideas and reference. Great addition to my library.
Five Stars 29. November 2014
Von Edwards - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Great Book.
Waren diese Rezensionen hilfreich? Wir wollen von Ihnen hören.