- Hem
- Böcker
- Kurslitteratur
- Teknik, Industri & IT
- Big Data Fundamentals (häftad, eng)

Big Data Fundamentals (häftad, eng)
--Peter Woodhull, CEO, Modus21
“The one book that...
Produktbeskrivning
--Peter Woodhull, CEO, Modus21
“The one book that clearly describes and links Big Data concepts to business utility.”
--Dr. Christopher Starr, PhD
“Simply, this is the best Big Data book on the market!”
--Sam Rostam, Cascadian IT Group
“...one of the most contemporary approaches I’ve seen to Big Data fundamentals...”
--Joshua MDavis, PhD
The Definitive Plain-English Guide to Big Data for Business and Technology Professionals
Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniquesAll coverage is supported with case study examples and numerous simple diagrams.
The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages
- Discovering Big Data’s fundamental concepts and what makes it different from previous forms of data analysis and data science
- Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation
- Planning strategic, business-driven Big Data initiatives
- Addressing considerations such as data management, governance, and security
- Recognizing the 5 “V” characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value
- Clarifying Big Data’s relationships with OLTP, OLAP, ETL, data warehouses, and data marts
- Working with Big Data in structured, unstructured, semi-structured, and metadata formats
- Increasing value by integrating Big Data resources with corporate performance monitoring
- Understanding how Big Data leverages distributed and parallel processing
- Using NoSQL and other technologies to meet Big Data’s distinct data processing requirements
- Leveraging statistical approaches of quantitative and qualitative analysis
- Applying computational analysis methods, including machine learning
| Format | Häftad |
| Omfång | 240 sidor |
| Språk | Engelska |
| Förlag | Pearson Education (US) |
| Utgivningsdatum | 2016-01-20 |
| ISBN | 9780134291079 |
Specifikation
Böcker
- Format Häftad
- Antal sidor 240
- Språk Engelska
- Utgivningsdatum 2016-01-20
- ISBN 9780134291079
- Förlag Pearson Education (US)
Leverans
Vi levererar ditt paket med Budbee, Instabox och DB Schenker. Frakten kostar 49 kr men handlar du för över 499 kr är det fri frakt. De exakta leveranstiderna för varje produkt ser du direkt på produktsidan och i kassan. När din order skickats får du en spårningslänk via e-post eller SMS.
Betalning
Hos oss betalar du tryggt via Avarda. Du kan välja mellan Swish, kort (VISA/MasterCard), faktura med 30 dagar eller konto för delbetalning. Alla köp sker krypterat och säkert.
Retur & reklamation
Som privatkund har du 14 dagars ångerrätt enligt distansavtalslagen. Retur kostar 49 kr och bokas via kundtjänst innan du skickar tillbaka varan. Återbetalning sker alltid via samma betalmedel du använde vid köpet.
Du har 3 års reklamationsrätt enligt konsumentköplagen. Vid godkänd reklamation står vi för returfrakten. Kontakta oss på [email protected] om du vill göra en retur eller reklamation, så guidar vi dig genom processen.
Specifikation
Böcker
- Format Häftad
- Antal sidor 240
- Språk Engelska
- Utgivningsdatum 2016-01-20
- ISBN 9780134291079
- Förlag Pearson Education (US)