Practical big data analytics : hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R /: hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R. (2018)

• Record Type: Book
• Further Information: Note: Nataraj Dasgupta.
• Authors: Dasgupta, Nataraj
• Contents: Cover; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Too Big or Not Too Big; What is big data?; A brief history of data; Dawn of the information age; Dr. Alan Turing and modern computing; The advent of the stored-program computer; From magnetic devices to SSDs; Why we are talking about big data now if data has always existed; Definition of big data; Building blocks of big data analytics; Types of Big Data; Structured; Unstructured; Semi-structured; Sources of big data; The 4Vs of big data When do you know you have a big data problem and where do you start your search for the big data solution?Summary; Chapter 2: Big Data Mining for the Masses; What is big data mining?; Big data mining in the enterprise; Building the case for a Big Data strategy; Implementation life cycle; Stakeholders of the solution; Implementing the solution; Technical elements of the big data platform; Selection of the hardware stack; Selection of the software stack; Summary; Chapter 3: The Analytics Toolkit; Components of the Analytics Toolkit; System recommendations; Installing on a laptop or workstation Installing on the cloudInstalling Hadoop; Installing Oracle VirtualBox; Installing CDH in other environments; Installing Packt Data Science Box; Installing Spark; Installing R; Steps for downloading and installing Microsoft R Open; Installing RStudio; Installing Python; Summary; Chapter 4: Big Data With Hadoop; The fundamentals of Hadoop; The fundamental premise of Hadoop; The core modules of Hadoop; Hadoop Distributed File System -- HDFS; Data storage process in HDFS; Hadoop MapReduce; An intuitive introduction to MapReduce; A technical understanding of MapReduce Block size and number of mappers and reducersHadoop YARN; Job scheduling in YARN; Other topics in Hadoop; Encryption; User authentication; Hadoop data storage formats; New features expected in Hadoop 3; The Hadoop ecosystem; Hands-on with CDH; WordCount using Hadoop MapReduce; Analyzing oil import prices with Hive; Joining tables in Hive; Summary; Chapter 5: Big Data Mining with NoSQL; Why NoSQL?; The ACID, BASE, and CAP properties; ACID and SQL; The BASE property of NoSQL; The CAP theorem; The need for NoSQL technologies; Google Bigtable; Amazon Dynamo; NoSQL databases; In-memory databases Columnar databasesDocument-oriented databases; Key-value databases; Graph databases; Other NoSQL types and summary of other types of databases ; Analyzing Nobel Laureates data with MongoDB; JSON format; Installing and using MongoDB; Tracking physician payments with real-world data; Installing kdb+, R, and RStudio; Installing kdb+; Installing R; Installing RStudio; The CMS Open Payments Portal; Downloading the CMS Open Payments data; Creating the Q application; Loading the data; The backend code; Creating the frontend web portal; R Shiny platform for developers Putting it all together -- The CMS Open Payments application
• Publisher Details: Birmingham, UK : Packt Publishing
• Publication Date: 2018
• Extent: 1 online resource (1 volume), illustrations
• Subjects: 004.6782; Computers -- Data Modeling & Design; Big data; Cloud computing; Machine learning; Database design & theory; Cloud computing; Information architecture; Computers -- Data Processing; Data capture & analysis; Big data; Cloud computing; Machine learning; COMPUTERS / Computer Literacy; COMPUTERS / Computer Science; COMPUTERS / Data Processing; COMPUTERS / Hardware / General; COMPUTERS / Information Technology; COMPUTERS / Machine Theory; COMPUTERS / Reference; Electronic books
• Languages: English
• ISBNs: 9781783554409; 1783554401
• Related ISBNs: 9781783554393
• Notes: Note: Description based on online resource; title from title page (viewed February 5, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.