Share
Massively Parallel Databases and Mapreduce Systems (in English)
Shivnath Babu
(Author)
·
Herodotos Herodotou
(Author)
·
Now Publishers
· Paperback
Massively Parallel Databases and Mapreduce Systems (in English) - Babu, Shivnath ; Herodotou, Herodotos
$ 71.58
$ 85.00
You save: $ 13.42
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, June 24 and
Tuesday, June 25.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Massively Parallel Databases and Mapreduce Systems (in English)"
Timely and cost-effective analytics over "big data" has emerged as a key ingredient for success in many businesses, scientific and engineering disciplines, and government endeavors. Web clicks, social media, scientific experiments, and datacenter monitoring are among data sources that generate vast amounts of raw data every day. The need to convert this raw data into useful information has spawned considerable innovation in systems for large-scale data analytics, especially over the last decade. Massively Parallel Databases and MapReduce Systems addresses the design principles and core features of systems for analyzing very large datasets using massively-parallel computation and storage techniques on large clusters of nodes. It first discusses how the requirements of data analytics have evolved since the early work on parallel database systems. It then describes some of the major technological innovations that have each spawned a distinct category of systems for data analytics. Each unique system category is described along a number of dimensions including data model and query interface, storage layer, execution engine, query optimization, scheduling, resource management, and fault tolerance. It concludes with a summary of present trends in large-scale data analytics. Massively Parallel Databases and MapReduce Systems is an ideal reference for anyone with a research or professional interest in large-scale data analytics.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
