Search -
Big Data Fundamentals: Concepts, Drivers, and Techniques (The Prentice Hall Service Technology Series from Thomas Erl)
Big Data Fundamentals Concepts Drivers and Techniques - The Prentice Hall Service Technology Series from Thomas Erl Author:Thomas Erl, Wajid Khattak, Paul Buhler Big Data Science Fundamentals offers a comprehensive, easy-to-understand, and up-to-date understanding of Big Data for all business professionals and technologists. Leading enterprise technology author Thomas Erl introduces key Big Data concepts, theory, terminology, technologies, key analysis/analytics techniques, and more - all logically organ... more »ized, presented in plain English, and supported by easy-to-understand diagrams and case study examples. Erl provides a uniquely valuable methodology for Big Data analysis, and introduces the underlying analysis techniques and enabling technological constructs that constitute a Big Data solution environment. He presents vendor-neutral guidance on implementing Big Data for competitive advantage; and for successfully integrating Big Data with existing enterprise systems. Coverage includes: Big Data's fundamental concepts and key business/technology drivers "5 V" characteristics of data in Big Data environments: volume, velocity, variety, veracity, and value Types of Big Data: structured, unstructured, semi-structured, and meta-data Big Data's relationships with OLTP, OLAP, ETL, data warehouses, and data marts Fundamental types of analysis, analytics, and machine learning Requirements and tools for visualizing big data Adoption and planning: business cases, privacy, security, provenance, performance, governance, and more Big Data technologies, including clusters, NoSQL, distributed and parallel data processing, Hadoop, cloud computing, and storage Big Data analysis and analytics across the full lifecycle And much more« less