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Beginning Apache Pig
Balaswamy Vaddeman
€ 45.92
FREE Delivery in Ireland
Description for Beginning Apache Pig
Paperback. Num Pages: 274 pages, 34 black & white illustrations, 35 colour illustrations, biography. BIC Classification: UNF; UNH. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 460.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2016
Publisher
APress United States
Number of pages
274
Condition
New
Number of Pages
274
Place of Publication
Berkley, United States
ISBN
9781484223369
SKU
V9781484223369
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Balaswamy Vaddeman
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 ... Read more
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