Big Data Visualization - Brossura

Miller, James D.

Brossura

ISBN 10: 1785281941 ISBN 13: 9781785281945

Casa editrice: Packt Publishing, 2017

Riassunto

Uncover new approaches to big data visualization to make your analysis more effective and efficient with Big Data Visualization. Featuring in-depth coverage of big data analysis concepts together with industry-proven techniques, you?ll learn how to approach the challenge of big data visualization with confidence, ease and precision.

Su questo libro

L'autore

James Miller is an IBM certified expert, creative innovator, and accomplished Director, Sr. Project Leader, and Application/System Architect with +35 years of extensive applications and 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 modelling and systems analysis, design, and the development of OLAP, Client/Server, Web and Mainframe applications and systems utilizing:

IBM Watson Analytics, IBM Cognos BI & 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 modelling; 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. Miller has acted as an Internet Applications Development Mgr. responsible for the design, development, QA, and delivery of multiple websites including online trading applications, warehouse process control, and 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 TM1
• IBM Cognos TM1 Master 385 Certification (perfect score 100% on exam)
• IBM Certified Advanced Solution Expert - Cognos TM1
• IBM Cognos TM1 10.1 Administrator Certification C2020-703 (perfect score 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 C2020-180

His 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.

Dettagli dell?edizione

• Editore: Packt Publishing
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 1785281941
• ISBN 13: 9781785281945
• Rilegatura: Copertina flessibile
• Numero di pagine: 304
• Contatto del produttore: non disponibile