Beginning Apache Pig (eBook, PDF) - Vaddeman, Balaswamy
-4%
26,95 €
Bisher 27,99 €**
26,95 €
inkl. MwSt.
**Preis der gedruckten Ausgabe (Broschiertes Buch)
Sofort per Download lieferbar
Bisher 27,99 €**
26,95 €
inkl. MwSt.
**Preis der gedruckten Ausgabe (Broschiertes Buch)
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
Als Download kaufen
Bisher 27,99 €**
-4%
26,95 €
inkl. MwSt.
**Preis der gedruckten Ausgabe (Broschiertes Buch)
Sofort per Download lieferbar
Abo Download
9,90 € / Monat*
*Abopreis beinhaltet vier eBooks, die aus der tolino select Titelauswahl im Abo geladen werden können.

inkl. MwSt.
Sofort per Download lieferbar

Einmalig pro Kunde einen Monat kostenlos testen (danach 9,90 € pro Monat), jeden Monat 4 aus 40 Titeln wählen, monatlich kündbar.

Mehr zum tolino select eBook-Abo
Jetzt verschenken
Bisher 27,99 €**
-4%
26,95 €
inkl. MwSt.
**Preis der gedruckten Ausgabe (Broschiertes Buch)
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
13 °P sammeln

  • Format: PDF


Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This book shows you many optimization techniques and covers every context where Pig is used in big data analytics. Beginning Apache Pig shows you how Pig is easy to learn and requires relatively little time to develop big data applications. The book is divided into four parts: the complete features of Apache Pig; integration with other tools; how to solve complex business problems; and optimization of tools. You'll discover topics such as MapReduce and why it cannot meet every business need; the features…mehr

Produktbeschreibung
Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This book shows you many optimization techniques and covers every context where Pig is used in big data analytics. Beginning Apache Pig shows you how Pig is easy to learn and requires relatively little time to develop big data applications.
The book is divided into four parts: the complete features of Apache Pig; integration with other tools; how to solve complex business problems; and optimization of tools.
You'll discover topics such as MapReduce and why it cannot meet every business need; the features of Pig Latin such as data types for each load, store, joins, groups, and ordering; how Pig workflows can be created; submitting Pig jobs using Hue; and working with Oozie. You'll also see how to extend the framework by writing UDFs and custom load, store, and filter functions. Finally you'll cover different optimization techniques such as gathering statistics about a Pig script, joining strategies, parallelism, and the role of data formats in good performance.


What You Will Learn
. Use all the features of Apache Pig
. Integrate Apache Pig with other tools
. Extend Apache Pig
. Optimize Pig Latin code
. Solve different use cases for Pig Latin
Who This Book Is For
All levels of IT professionals: architects, big data enthusiasts, engineers, developers, and big data administrators

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GB, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

  • Produktdetails
  • Verlag: Springer-Verlag GmbH
  • Erscheinungstermin: 10.12.2016
  • Englisch
  • ISBN-13: 9781484223376
  • Artikelnr.: 53148986
Autorenporträt
Balaswamy Vaddeman, Thinker, Blogger, Serious and Self-motivated Big data evangelist with 9 years of experience in IT and 4 years of experience in Big data space. My Big data experience covers multiple areas like delivery of analytical applications, product development, consulting, training, book reviews, hackathons and mentoring and helping people on forums. I have proved myself while delivering analytical applications in retail, banking and finance domain in 3 aspects (Development, Administration and Architecture) of Hadoop related technologies. At Startup Company, I had developed a Hadoop based product that was used for delivering of analytical applications without writing code.
In 2013 I had won Hadoop Hackathon event for Hyderabad conducted by Cloudwick technologies. Being top contributor at stackoverflow.com, I helped many people on big data at multiple websites like stackoverflow.com and quora.com. With so much passion on big data I went ahead as independent trainer and consultant to train hundreds of people and to set big data teams in couple of companies.
Inhaltsangabe
Chapter 1 - Introduction.- Chapter 2 - Data types.- Chapter 3 - Grunt.- Chapter 4 - Introduction to Pig Latin.- Chapter 5 - Joins and Functions.- Chapter 6 - Pig Latin using Oozie.- Chapter 7 - Introduction to HCatalog.- Chapter 8 - Submitting Pig jobs using Hue.- Chapter 9 - Role of Pig in Apache Falcon.- Chapter 10 - Macros.- Chapter 11 - User defined Functions.- Chapter 12 - Writing your own eval and Filter Functions.- Chapter 13 - Writing your own Load and Store Functions.- Chapter 14 - Know Your Pig latin scripts.- Chapter 15 - Data formats.- Chapter 16 - Optimization.- Chapter 17 - Other Hadoop tools.- Appendix A - Builtin Functions.- Appendix B - Apache Pig in Apache Ambari.- Appendix C - HBaseStorage and ORCSTorage options.