Big Data Visualization by James D Miller

Key FeaturesThis unique guide teaches you how to visualize your cluttered, huge amounts of big data with easeIt is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelfImprove your decision-making by visualizing your big data the right wayBook DescriptionWhen it comes to big data, regular data visualization tools with basic features become insufficient. This book covers the concepts and models used to visualize big data, with a focus on efficient visualizations.This book works around big data visualizations and the challenges around visualizing big data and address characteristic challenges of visualizing like speed in accessing, understanding/adding context to, improving the quality of the data, displaying results, outliers, and so on. We focus on the most popular libraries to execute the tasks of big data visualization and explore big data oriented tools such as Hadoop and Tableau. We will show you how data changes with different variables and for different use cases with step-through topics such as: importing data to something like Hadoop, basic analytics.The choice of visualizations depends on the most suited techniques for big data, and we will show you the various options for big data visualizations based upon industry-proven techniques. You will then learn how to integrate popular visualization tools with graphing databases to see how huge amounts of certain data. Finally, you will find out how to display the integration of visual big data with BI using Cognos BI.What you will learnUnderstand how basic analytics is affected by big dataDeep dive into effective and efficient ways of visualizing big dataGet to know various approaches (using various technologies) to address the challenges of visualizing big dataComprehend the concepts and models used to visualize big dataKnow how to visualize big data in real time and for different use casesUnderstand how to integrate popular dashboard visualization tools such as Splunk and TableauGet to know the value and process of integrating visual big data with BI tools such as TableauMake sense of the visualization options for big data, based upon the best suited visualization techniques for big dataAbout the AuthorJames D. Miller is an IBM certified expert, creative innovator, and accomplished Director, Sr. Project Leader, and Application/System Architect with more than 35 years of extensive applications, system design, and development experience across multiple platforms and technologies.His experiences and specialties include introducing customers to new and sometimes disruptive technologies and platforms, integrating with IBM Watson Analytics, cloud migrations, Cognos BI, TM1 and web architecture design, systems analysis, GUI design and testing, data and database modeling and systems analysis, design, and the development of OLAP, Client/Server, Web and Mainframe applications and systems utilizing IBM Watson Analytics, IBM Cognos BI and TM1 (TM1 rules, TI, TM1Web and Planning Manager), Cognos Framework Manager, dynaSight/ArcPlan, ASP, DHTML, XML, IIS, MS Visual Basic and VBA, Visual Studio, Perl, Splunk, WebSuite, MS SQL server, ORACLE, SYBASE Server, and more.His responsibilities have also included all aspects of Windows and SQL solution development and design, including analysis; GUI (and Web site) design; data modeling; table, screen/form and script development; SQL (and remote stored procedures and triggers) development/testing; test preparation; and the management and training of programming staff. His other experience includes the development of ETL infrastructure such as data transfer automation between mainframe (DB2, Lawson, Great Plains, and so on) systems and client/server SQL server and web-based applications and integration of enterprise applications and data sources.Mr. James D. Miller has acted as an Internet Applications Development manager responsible for the design, development, QA, and delivery of multiple websites, including online trading applications, warehouse process control, scheduling systems, and administrative and control applications. He was also responsible for the design, development, and administration of a web-based financial reporting system for a 450- million-dollar organization, reporting directly to the CFO and his executive team.Mr. Miller has also been responsible for managing and directing multiple resources in various management roles, including project and team leader, lead developer, and applications development director.Mr. Miller has authored Cognos TM1 Developers Certification Guide, Mastering Splunk, Learning IBM Watson Analytics, and a number of whitepapers on best practices such as Establishing a Center of Excellence, and continues to post blogs on a number of relevant topics based upon personal experiences and industry best practices. Jim is a perpetual learner who continues to pursue experiences and certifications, and currently holds the following current technical certifications:IBM Certified Business Analyst - Cognos TM1IBM Cognos TM1 Master 385 Certification (perfect score of 100% on exam)IBM Certified Advanced Solution Expert - Cognos TM1IBM Cognos TM1 10.1 Administrator Certification C2020-703 (perfect score of 100% on exam)IBM OpenPages Developer Fundamentals C2020-001-ENU (98% on exam)IBM Cognos 10 BI Administrator C2020-622 (98% on exam)IBM Cognos 10 BI Professional C2020-180His specialties include the evaluation and introduction of innovative and disruptive technologies, cloud migration, big data, IBM Watson Analytics, Cognos BI and TM1 application Design and Development, OLAP, Visual Basic, SQL Server, Forecasting and Planning, International Application Development, Business Intelligence, Project Development and Delivery, and process improvement.Table of ContentsIntroduction to Big Data VisualizationAccess, Speed, and Storage with HadoopUnderstanding Your Data Using RAddressing Big Data QualityDisplaying Results Using D3Dashboards for Big Data - TableauDealing with Outliers Using PythonBig Data Operational Intelligence with Splunk