Mastering Hadoop 3 :: big data processing at scale to unlock unique business insights.
Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing Ltd,
2019.
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| Online-Zugang: | Volltext |
| Zusammenfassung: | Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency. With this guide, you'll understand advanced concepts of the Hadoop ecosystem tool. You'll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You'll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you'll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals. By the end of this book, you'll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you'll be equipped to tackle a range of real-world problems in data pipelines. |
| Beschreibung: | 1 online resource (531 pages) |
| ISBN: | 9781788628327 1788628322 |
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| 505 | 0 | |a Mastering Hadoop 3 : big data processing at scale to unlock unique business insights -- Dedication -- About Packt -- Foreword -- Contributors -- Table of Contents -- Preface -- Section 1: Introduction to Hadoop 3 -- Chapter 1: Journey to Hadoop 3 -- Chapter 2: Deep Dive into the Hadoop Distributed File System -- Chapter 3: YARN Resource Management in Hadoop -- Chapter 4: Internals of MapReduce -- Section 2: Hadoop Ecosystem -- Chapter 5: SQL on Hadoop -- Chapter 6: Real-Time Processing Engines -- Chapter 7: Widely Used Hadoop Ecosystem Components -- Section 3: Hadoop in the Real World -- Chapter 8: Designing Applications in Hadoop -- Chapter 9: Real-Time Stream Processing in Hadoop -- Chapter 10: Machine Learning in Hadoop -- Chapter 11: Hadoop in the Cloud -- Chapter 12: Hadoop Cluster Profiling -- Section 4: Securing Hadoop -- Chapter 13: Who Can Do What in Hadoop -- Chapter 14: Network and Data Security -- Chapter 15: Monitoring Hadoop -- Other Books You May Enjoy -- Index. | |
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| contents | Mastering Hadoop 3 : big data processing at scale to unlock unique business insights -- Dedication -- About Packt -- Foreword -- Contributors -- Table of Contents -- Preface -- Section 1: Introduction to Hadoop 3 -- Chapter 1: Journey to Hadoop 3 -- Chapter 2: Deep Dive into the Hadoop Distributed File System -- Chapter 3: YARN Resource Management in Hadoop -- Chapter 4: Internals of MapReduce -- Section 2: Hadoop Ecosystem -- Chapter 5: SQL on Hadoop -- Chapter 6: Real-Time Processing Engines -- Chapter 7: Widely Used Hadoop Ecosystem Components -- Section 3: Hadoop in the Real World -- Chapter 8: Designing Applications in Hadoop -- Chapter 9: Real-Time Stream Processing in Hadoop -- Chapter 10: Machine Learning in Hadoop -- Chapter 11: Hadoop in the Cloud -- Chapter 12: Hadoop Cluster Profiling -- Section 4: Securing Hadoop -- Chapter 13: Who Can Do What in Hadoop -- Chapter 14: Network and Data Security -- Chapter 15: Monitoring Hadoop -- Other Books You May Enjoy -- Index. |
| ctrlnum | (OCoLC)1089994606 |
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| id | ZDB-4-EBA-on1089994606 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:29:24Z |
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| isbn | 9781788628327 1788628322 |
| language | English |
| oclc_num | 1089994606 |
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| physical | 1 online resource (531 pages) |
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| spelling | Singh, Chanchal. Mastering Hadoop 3 : big data processing at scale to unlock unique business insights. Birmingham : Packt Publishing Ltd, 2019. 1 online resource (531 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from PDF title page (EBSCO, viewed April 8, 2019) Mastering Hadoop 3 : big data processing at scale to unlock unique business insights -- Dedication -- About Packt -- Foreword -- Contributors -- Table of Contents -- Preface -- Section 1: Introduction to Hadoop 3 -- Chapter 1: Journey to Hadoop 3 -- Chapter 2: Deep Dive into the Hadoop Distributed File System -- Chapter 3: YARN Resource Management in Hadoop -- Chapter 4: Internals of MapReduce -- Section 2: Hadoop Ecosystem -- Chapter 5: SQL on Hadoop -- Chapter 6: Real-Time Processing Engines -- Chapter 7: Widely Used Hadoop Ecosystem Components -- Section 3: Hadoop in the Real World -- Chapter 8: Designing Applications in Hadoop -- Chapter 9: Real-Time Stream Processing in Hadoop -- Chapter 10: Machine Learning in Hadoop -- Chapter 11: Hadoop in the Cloud -- Chapter 12: Hadoop Cluster Profiling -- Section 4: Securing Hadoop -- Chapter 13: Who Can Do What in Hadoop -- Chapter 14: Network and Data Security -- Chapter 15: Monitoring Hadoop -- Other Books You May Enjoy -- Index. Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency. With this guide, you'll understand advanced concepts of the Hadoop ecosystem tool. You'll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You'll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you'll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals. By the end of this book, you'll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you'll be equipped to tackle a range of real-world problems in data pipelines. Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279 Apache Hadoop fast Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Logiciels d'application Développement. Database design & theory. bicssc Data warehousing. bicssc Information architecture. bicssc Data capture & analysis. bicssc COMPUTERS Software Development & Engineering General. bisacsh Application software Development fast Kumar, Manish. FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2041554 Volltext |
| spellingShingle | Singh, Chanchal Mastering Hadoop 3 : big data processing at scale to unlock unique business insights. Mastering Hadoop 3 : big data processing at scale to unlock unique business insights -- Dedication -- About Packt -- Foreword -- Contributors -- Table of Contents -- Preface -- Section 1: Introduction to Hadoop 3 -- Chapter 1: Journey to Hadoop 3 -- Chapter 2: Deep Dive into the Hadoop Distributed File System -- Chapter 3: YARN Resource Management in Hadoop -- Chapter 4: Internals of MapReduce -- Section 2: Hadoop Ecosystem -- Chapter 5: SQL on Hadoop -- Chapter 6: Real-Time Processing Engines -- Chapter 7: Widely Used Hadoop Ecosystem Components -- Section 3: Hadoop in the Real World -- Chapter 8: Designing Applications in Hadoop -- Chapter 9: Real-Time Stream Processing in Hadoop -- Chapter 10: Machine Learning in Hadoop -- Chapter 11: Hadoop in the Cloud -- Chapter 12: Hadoop Cluster Profiling -- Section 4: Securing Hadoop -- Chapter 13: Who Can Do What in Hadoop -- Chapter 14: Network and Data Security -- Chapter 15: Monitoring Hadoop -- Other Books You May Enjoy -- Index. Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279 Apache Hadoop fast Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Logiciels d'application Développement. Database design & theory. bicssc Data warehousing. bicssc Information architecture. bicssc Data capture & analysis. bicssc COMPUTERS Software Development & Engineering General. bisacsh Application software Development fast |
| subject_GND | http://id.loc.gov/authorities/names/n2013024279 http://id.loc.gov/authorities/subjects/sh95009362 |
| title | Mastering Hadoop 3 : big data processing at scale to unlock unique business insights. |
| title_auth | Mastering Hadoop 3 : big data processing at scale to unlock unique business insights. |
| title_exact_search | Mastering Hadoop 3 : big data processing at scale to unlock unique business insights. |
| title_full | Mastering Hadoop 3 : big data processing at scale to unlock unique business insights. |
| title_fullStr | Mastering Hadoop 3 : big data processing at scale to unlock unique business insights. |
| title_full_unstemmed | Mastering Hadoop 3 : big data processing at scale to unlock unique business insights. |
| title_short | Mastering Hadoop 3 : |
| title_sort | mastering hadoop 3 big data processing at scale to unlock unique business insights |
| title_sub | big data processing at scale to unlock unique business insights. |
| topic | Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279 Apache Hadoop fast Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Logiciels d'application Développement. Database design & theory. bicssc Data warehousing. bicssc Information architecture. bicssc Data capture & analysis. bicssc COMPUTERS Software Development & Engineering General. bisacsh Application software Development fast |
| topic_facet | Apache Hadoop. Apache Hadoop Application software Development. Logiciels d'application Développement. Database design & theory. Data warehousing. Information architecture. Data capture & analysis. COMPUTERS Software Development & Engineering General. Application software Development |
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