Big data analytics

By: Shankarmani, Radha Contributor(s): Vijayalakshmi, , M Material type: Text

TextPublication details: New Delhi Wiley India Pvt. Ltd. 2022 Edition: 2ndDescription: xxii, 314 pISBN: 9788126565757Subject(s): Big data | Data analyticsDDC classification: 658.472 Summary: The goal of this book is to cover foundational techniques and tools required for Big Data Analytics. It focuses on concepts, principles and techniques applicable to any technology environment and industry and establishes a baseline that can be enhanced further by additional real-world experience. This book aims to be a ready reckoner to either a novice or a professional working in the field. Topics covered include Hadoop, MapReduce, Association Rules, Large-Scale Supervised Machine Learning, Data Streams, Clustering, NoSQL systems (Pig, Hive) and Applications including Recommendation Systems, Web and Security.

List(s) this item appears in: Fiction

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 1 )
Comments ( 0 )

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	658.472 SHA (Browse shelf(Opens below))	1	Available		004839

Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: IT & Decisions Sciences Close shelf browser (Hides shelf browser)

Previous								Next
Previous	658.4720 LAK AI meets BI: artificial intelligence and business intelligence	658.472 MIN Big data, big analytics: emerging business intelligence and analytic trends for today's business	658.472 SCH Business intelligence for dummies	658.472 SHA Big data analytics	658.472 STR Practical text analytics: interpreting text and unstructured data for business intelligence	658.472 WHI Principles of information security	658.472 WIL Business intelligence strategy and big data analytics: a general management perspective	Next

The goal of this book is to cover foundational techniques and tools required for Big Data Analytics. It focuses on concepts, principles and techniques applicable to any technology environment and industry and establishes a baseline that can be enhanced further by additional real-world experience. This book aims to be a ready reckoner to either a novice or a professional working in the field. Topics covered include Hadoop, MapReduce, Association Rules, Large-Scale Supervised Machine Learning, Data Streams, Clustering, NoSQL systems (Pig, Hive) and Applications including Recommendation Systems, Web and Security.

There are no comments on this title.

to post a comment.