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Hadoop for finance essentials : harness big data to provide meaningful insights, analytics, and business intelligence for your financial institution /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
|
| Colección: | Community experience distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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|---|---|---|---|
| 001 | EBSCO_ocn910639415 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr unu|||||||| | ||
| 008 | 150603s2015 enka o 001 0 eng d | ||
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| 016 | 7 | |a 018007255 |2 Uk | |
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| 020 | |a 9781784396329 |q (electronic bk.) | ||
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| 020 | |z 9781784395162 | ||
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| 100 | 1 | |a Tiwari, Rajiv, |e author. | |
| 245 | 1 | 0 | |a Hadoop for finance essentials : |b harness big data to provide meaningful insights, analytics, and business intelligence for your financial institution / |c Rajiv Tiwari. |
| 246 | 3 | 0 | |a Harness big data to provide meaningful insights, analytics, and business intelligence for your financial institution |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2015. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Community experience distilled | |
| 588 | 0 | |a Online resource; title from cover (Safari, viewed May 26, 2015). | |
| 500 | |a Includes index. | ||
| 520 | 8 | |a Annotation |b This book is perfect for developers, analysts, architects or managers who would like to perform big data analytics with Hadoop for the financial sector. This book is also helpful for technology professionals from other industry sectors who have recently switched or like to switch their business domain to financial sector. Familiarity with big data, Java programming, database and data warehouse, and business intelligence would be beneficial. | |
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Big Data Overview; What is big data?; Data volume; Data velocity; Data variety; Big data technology evolution; History; Current; Future; Big data landscape; Storage; NoSQL; NoSQL database types; Resource management; Data governance; Batch computing; Real-time computing; Data integration tools; Machine learning; Business intelligence and virtualization; Careers in big data; Hadoop architecture; HDFS cluster; MapReduce V1; MapReduce V2 -- YARN; The Hadoop jungle explained | |
| 505 | 8 | |a Big data tamedHadoop -- the hero; HDFS -- Hadoop Distributed Filesystem; MapReduce; HBase; Hive; Pig; Zookeeper; Oozie; Flume; Sqoop; Hadoop distributions; Distribution -- on premise; Distribution -- cloud; Summary; Chapter 2: Big Data in Financial Services; Big data use cases across industry sectors; Healthcare; Human science; Telecom; Online retailer; Why big data in the financial sector?; Big data use cases in the financial sector; Data archival on HDFS; Regulatory; Fraud detection; Tick data; Risk management; Customer behavior prediction; Sentiment analysis (unstructured); Other use cases | |
| 505 | 8 | |a Big data evolution in financeBig data tools -- what to learn; Getting your data into HDFS; Querying data from HDFS; SQL on Hadoop; Real time; Data governance and operations; ETL tools; Data analytics and business intelligence; Big data implementations in finance; Key challenges; Overcoming the challenges; Generate interest (play area); Pilot with a low-cost project; Hadoop is live -- now scale it up; Summary; Chapter 3: Hadoop in the Cloud; The big data cloud story; The why; The when; What's the catch?; Project details -- risk simulations in the cloud; Solution; Current world; Target world | |
| 505 | 8 | |a Data collectionConfiguring the Hadoop cluster; Data upload; Data transformation; Data analysis; Summary; Chapter 4: Data Migration Using Hadoop; Project details -- archive your transaction data; Solution; Project Phase 1 -- split trade data into DW and Hadoop; Current world; Target world; Data collection; How to do it; Data analysis; Project Phase 2 -- migrate data from relational DW into Hadoop; Current world; Target world; Data collection; Data analysis; Summary; Chapter 5: Getting Started; Project details -- risk and regulatory reporting; Solution; Current world; Target world; Data collection | |
| 505 | 8 | |a Option 1 -- Apache OozieOption 2 -- ETL tool ingestion; Data transformation; Hive or Pig?; Hive; Pig; Java MapReduce; Data analysis; BI tools; Summary; Chapter 6: Getting Experienced; Real-time big data; Project details -- Identifying fraudulent transactions; Solution; Current world; Target world; Markov Chain Model execution (batch mode); Storm architecture; Spark architecture; Data collection; Using Storm; Using Spark; Data transformation; Using Storm; Using Spark; Summary; Chapter 7: Scale It Up; Scale it up -- actually horizontally; Few more big data use cases; Use case -- fraud again | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 630 | 0 | 0 | |a Apache Hadoop. |
| 630 | 0 | 7 | |a Apache Hadoop. |2 fast |0 (OCoLC)fst01911570 |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Business intelligence. | |
| 650 | 0 | |a Information retrieval. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Recherche de l'information. | |
| 650 | 7 | |a information retrieval. |2 aat | |
| 650 | 7 | |a COMPUTERS |x Database Management |x General. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Desktop Applications |x Databases. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x System Administration |x Storage & Retrieval. |2 bisacsh | |
| 650 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Business intelligence. |2 fast |0 (OCoLC)fst00842723 | |
| 650 | 7 | |a Information retrieval. |2 fast |0 (OCoLC)fst00972619 | |
| 776 | 0 | 8 | |i Print version: |a Tiwari, Rajiv. |t Hadoop for finance essentials : harness big data to provide meaningful insights, analytics, and business intelligence for your financial institution. |d Birmingham, England ; Mumbai, [India] : Packt Publishing, ©2015 |h x, 146 pages |k Community experience distilled. |z 9781784395162 |
| 830 | 0 | |a Community experience distilled. | |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=987629 |z Texto completo |
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