Data Architecture: A Primer for the Data Scientist

Big Data, Data Warehouse and Data Vault

Häftad, Engelska, 2014

AvW.H. Inmon,Daniel Linstedt,W. H. Inmon

699 kr

Beställningsvara. Skickas inom 7-10 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Häftad

879 kr

Skickas inom 7-10 vardagar

Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most references on Big Data look at only one tiny part of a much larger whole. Until data gathered can be put into an existing framework or architecture it can't be used to its full potential. Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits with the existing information infrastructure, an essential topic for the data scientist.

Drawing upon years of practical experience and using numerous examples and an easy to understand framework. W.H. Inmon, and Daniel Linstedt define the importance of data architecture and how it can be used effectively to harness big data within existing systems. You'll be able to:

Turn textual information into a form that can be analyzed by standard tools.
Make the connection between analytics and Big Data
Understand how Big Data fits within an existing systems environment
Conduct analytics on repetitive and non-repetitive data

Discusses the value in Big Data that is often overlooked, non-repetitive data, and why there is significant business value in using it
Shows how to turn textual information into a form that can be analyzed by standard tools
Explains how Big Data fits within an existing systems environment
Presents new opportunities that are afforded by the advent of Big Data
Demystifies the murky waters of repetitive and non-repetitive data in Big Data

Produktinformation

Utgivningsdatum2014-11-26
Mått191 x 235 x 27 mm
Vikt770 g
FormatHäftad
SpråkEngelska
Antal sidor378
FörlagElsevier Science
ISBN9780128020449

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Programmeringsböcker inom Data och IT
Hårdvara inom Data och IT
Affärsstrategi inom Ekonomi och Ledarskap
Nätverk och kommunikation inom Data och IT
Affärsapplikationer inom Data och IT
Databaser inom Data och IT
Företagsekonomi inom Ekonomi och Ledarskap

Best known as the “Father of Data Warehousing," Bill Inmon has become the most prolific and well-known author worldwide in the big data analysis, data warehousing and business intelligence arena. In addition to authoring more than 50 books and 650 articles, Bill has been a monthly columnist with the Business Intelligence Network, EIM Institute and Data Management Review. In 2007, Bill was named by Computerworld as one of the “Ten IT People Who Mattered in the Last 40 Years of the computer profession. Having 35 years of experience in database technology and data warehouse design, he is known globally for his seminars on developing data warehouses and information architectures. Bill has been a keynote speaker in demand for numerous computing associations, industry conferences and trade shows. Bill Inmon also has an extensive entrepreneurial background: He founded Pine Cone Systems, later named Ambeo in 1995, and founded, and took public, Prism Solutions in 1991. Bill consults with a large number of Fortune 1000 clients, and leading IT executives on Data Warehousing, Business Intelligence, and Database Management, offering data warehouse design and database management services, as well as producing methodologies and technologies that advance the enterprise architectures of large and small organizations world-wide. He has worked for American Management Systems and Coopers & Lybrand. Bill received his Bachelor of Science degree in Mathematics from Yale University, and his Master of Science degree in Computer Science from New Mexico State University. Dan Linstedt has more than 25 years of experience in the Data Warehousing and Business Intelligence field and is internationally known for inventing the Data Vault 1.0 model and the Data Vault 2.0 System of Business Intelligence. He helps business and government organizations around the world to achieve BI excellence by applying his proven knowledge in Big Data, unstructured information management, agile methodologies and product development. He has held training classes and presented at TDWI, Teradata Partners, DAMA, Informatica, Oracle user groups and Data Modeling Zone conference. He has a background in SEI/CMMI Level 5, and has contributed architecture efforts to petabyte scale data warehouses and offers high quality on-line training and consulting services for Data Vault.

Mer från samma författare

Business Metadata: Capturing Enterprise Knowledge

W.H. Inmon, Bonnie O'Neil, Lowell Fryman, USA) Inmon, W.H. (Inmon Data Systems, Castle Rock, CO, USA) O'Neil, Bonnie (Project Performance Corporation, Denver, CO, USA) Fryman, Lowell (Former Professor at Daniels College of Business, Denver University, Denver, CO, W. H. Inmon

Häftad

779 kr

DW 2.0: The Architecture for the Next Generation of Data Warehousing

W.H. Inmon, Derek Strauss, Genia Neushloss, USA) Inmon, W.H. (Inmon Data Systems, Castle Rock, CO, Gavroshe) Strauss, Derek (CEO and Founder, Gavroshe) Neushloss, Genia (Co-founder, W. H. Inmon, W H Inmon

Häftad

849 kr

Database Design: Know It All

Toby J. Teorey, Tony Morgan, Thomas P. Nadeau, Bonnie O'Neil, Elizabeth O'Neil, Patrick O'Neil, Markus Schneider, Graeme Simsion, Graham Witt, Stephen Buxton, Lowell Fryman, Ralf Hartmut G�ting, Terry Halpin, Jan L. Harrington, W.H. Inmon, Sam S. Lightstone, Jim Melton, Ralf Hartmut Güting, Toby J Teorey, Jan L Harrington, W H Inmon, Sam S Lightstone, Thomas P Nadeau

Inbunden

939 kr

Du kanske också är intresserad av