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Big Data Fundamentals: Concepts, Drivers & Techniques
Paperback
Series: The Pearson Service Technology Series from Thomas Erl
ISBN13: 9780134291079
Publisher: Pearson
Published: Jan 5 2016
Pages: 240
Weight: 0.80
Height: 0.70 Width: 6.90 Depth: 9.00
Language: English
--Peter Woodhull, CEO, Modus21 The one book that clearly describes and links Big Data concepts to business utility.
--Dr. Christopher Starr, PhD Simply, this is the best Big Data book on the market!
--Sam Rostam, Cascadian IT Group ...one of the most contemporary approaches I've seen to Big Data fundamentals...
- Discovering Big Data's fundamental concepts and what makes it different from previous forms of data analysis and data science
- Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation
- Planning strategic, business-driven Big Data initiatives
- Addressing considerations such as data management, governance, and security
- Recognizing the 5 V characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value
- Clarifying Big Data's relationships with OLTP, OLAP, ETL, data warehouses, and data marts
- Working with Big Data in structured, unstructured, semi-structured, and metadata formats
- Increasing value by integrating Big Data resources with corporate performance monitoring
- Understanding how Big Data leverages distributed and parallel processing
- Using NoSQL and other technologies to meet Big Data's distinct data processing requirements
- Leveraging statistical approaches of quantitative and qualitative analysis
- Applying computational analysis methods, including machine learning
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