TERABYTES LEVEL 7 STUDENT'S BOOK WITH BOOKLET, AR APP AND POSTER
Author : VAISHALI. SHARMA
Publisher :
Page : pages
File Size : 19,27 MB
Release : 2022
Category :
ISBN : 9781009206150
Author : VAISHALI. SHARMA
Publisher :
Page : pages
File Size : 19,27 MB
Release : 2022
Category :
ISBN : 9781009206150
Author : VAISHALI. SHARMA
Publisher :
Page : pages
File Size : 35,97 MB
Release : 2022
Category :
ISBN : 9781009206181
Author : VAISHALI. SHARMA
Publisher :
Page : pages
File Size : 27,87 MB
Release : 2022
Category :
ISBN : 9781009206020
Author : VAISHALI. SHARMA
Publisher :
Page : pages
File Size : 14,94 MB
Release : 2022
Category :
ISBN : 9781009206082
Author : VAISHALI. SHARMA
Publisher :
Page : pages
File Size : 48,66 MB
Release : 2022
Category :
ISBN : 9781009206051
Author : SHOBHITA. CHOPRA JOHARI (PARMINDER. TYAGI, PANKAJ.)
Publisher :
Page : 0 pages
File Size : 33,72 MB
Release : 2022
Category :
ISBN : 9781009183444
Author : DEEPTI. ANAND SRIVASTAVA (NIDHI BAJAJ.)
Publisher :
Page : 0 pages
File Size : 34,36 MB
Release : 2022
Category :
ISBN : 9781009181976
Author : Bill Chambers
Publisher : "O'Reilly Media, Inc."
Page : 594 pages
File Size : 26,9 MB
Release : 2018-02-08
Category : Computers
ISBN : 1491912294
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Sparkâ??s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasetsâ??Sparkâ??s core APIsâ??through worked examples Dive into Sparkâ??s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Sparkâ??s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation
Author : Jennifer Visocky O'Grady
Publisher : Rockport Publishers
Page : 192 pages
File Size : 47,87 MB
Release : 2009-02-01
Category : Design
ISBN : 161673938X
Doing research can make all the difference between a great design and a good design. By engaging in competitive intelligence, customer profiling, color and trend forecasting, etc., designers are able to bring something to the table that reflects a commercial value for the client beyond a well-crafted logo or brochure. Although scientific and analytical in nature, research is the basis of all good design work. This book provides a comprehensive manual for designers on what design research is, why it is necessary, how to do research, and how to apply it to design work.
Author : Rajkumar Buyya
Publisher : Newnes
Page : 469 pages
File Size : 30,66 MB
Release : 2013-04-05
Category : Computers
ISBN : 0124095399
Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won’t live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout. Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment Real-world case studies include scientific, business, and energy-efficiency considerations