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Modern Big Data Processing with Hadoop

You're reading from  Modern Big Data Processing with Hadoop

Product type Book
Published in Mar 2018
Publisher Packt
ISBN-13 9781787122765
Pages 394 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
V Naresh Kumar V Naresh Kumar
Profile icon V Naresh Kumar
LinkedIn
Naresh has more than a decade of professional experience in designing, implementing and running very large scale Internet Applications in Fortune Top 500 Companies. He is a Full Stack Architect with hands-on experience in domains like E-commerce, Web-hosting, Healthcare, Bigdata & Analytics, Data Streaming, Advertising and Databases. He believes in Opensource and contributes to them actively. He keeps himself up-to-date with emerging technologies starting from Linux Systems Internals to Frontend technologies. He studied in BITS-Pilani, Rajasthan with Dual Degree in Computer Science & Economics.
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Manoj R Patil Manoj R Patil
Profile icon Manoj R Patil
LinkedIn
Manoj R Patil is the Chief Architect in Big Data at Compassites Software Solutions Pvt. Ltd. where he overlooks the overall platform architecture related to Big Data solutions, and he also has a hands-on contribution to some assignments. He has been working in the IT industry for the last 15 years. He started as a programmer and, on the way, acquired skills in architecting and designing solutions, managing projects keeping each stakeholder's interest in mind, and deploying and maintaining the solution on a cloud infrastructure. He has been working on the Pentaho-related stack for the last 5 years, providing solutions while working with employers and as a freelancer as well. Manoj has extensive experience in JavaEE, MySQL, various frameworks, and Business Intelligence, and is keen to pursue his interest in predictive analysis. He was also associated with TalentBeat, Inc. and Persistent Systems, and implemented interesting solutions in logistics, data masking, and data-intensive life sciences.
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Prashant Shindgikar Prashant Shindgikar
Profile icon Prashant Shindgikar
LinkedIn
Prashant Shindgikar is an accomplished big data Architect with over 20 years of experience in data analytics. He specializes in data innovation and resolving data challenges for major retail brands. He is a hands-on architect having an innovative approach to solving data problems. He provides thought leadership and pursues strategies for engagements with the senior executives on innovation in data processing and analytics. He presently works for a large USA-based retail company.
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Table of Contents (12) Chapters

Preface 1. Enterprise Data Architecture Principles 2. Hadoop Life Cycle Management 3. Hadoop Design Consideration 4. Data Movement Techniques 5. Data Modeling in Hadoop 6. Designing Real-Time Streaming Data Pipelines 7. Large-Scale Data Processing Frameworks 8. Building Enterprise Search Platform 9. Designing Data Visualization Solutions 10. Developing Applications Using the Cloud 11. Production Hadoop Cluster Deployment

Configuring HDFS high availability

Let's take a look at the changes brought about in Hadoop over time.

During Hadoop 1.x

Hadoop 1.x started with the architecture of a single NameNode. All DataNodes used to send their block reports to that single NameNode. There was a secondary NameNode in the architecture, but its sole responsibility was to merge all edits to FSImage. With this architecture, the NameNode became the single point of failure (SPOF). Since it has all the metadata of all the DataNodes of the Hadoop cluster, in the event of NameNode crash, the Hadoop cluster becomes unavailable till the next restart of NameNode repair. If the NameNode cannot be recovered, then all the data in all the DataNodes would be completely...

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Authors (3)

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Profile icon V Naresh Kumar
LinkedIn
Naresh has more than a decade of professional experience in designing, implementing and running very large scale Internet Applications in Fortune Top 500 Companies. He is a Full Stack Architect with hands-on experience in domains like E-commerce, Web-hosting, Healthcare, Bigdata & Analytics, Data Streaming, Advertising and Databases. He believes in Opensource and contributes to them actively. He keeps himself up-to-date with emerging technologies starting from Linux Systems Internals to Frontend technologies. He studied in BITS-Pilani, Rajasthan with Dual Degree in Computer Science & Economics.
Read more
See other products by V Naresh Kumar
Profile icon Manoj R Patil
LinkedIn
Manoj R Patil is the Chief Architect in Big Data at Compassites Software Solutions Pvt. Ltd. where he overlooks the overall platform architecture related to Big Data solutions, and he also has a hands-on contribution to some assignments. He has been working in the IT industry for the last 15 years. He started as a programmer and, on the way, acquired skills in architecting and designing solutions, managing projects keeping each stakeholder's interest in mind, and deploying and maintaining the solution on a cloud infrastructure. He has been working on the Pentaho-related stack for the last 5 years, providing solutions while working with employers and as a freelancer as well. Manoj has extensive experience in JavaEE, MySQL, various frameworks, and Business Intelligence, and is keen to pursue his interest in predictive analysis. He was also associated with TalentBeat, Inc. and Persistent Systems, and implemented interesting solutions in logistics, data masking, and data-intensive life sciences.
Read more
See other products by Manoj R Patil
Profile icon Prashant Shindgikar
LinkedIn
Prashant Shindgikar is an accomplished big data Architect with over 20 years of experience in data analytics. He specializes in data innovation and resolving data challenges for major retail brands. He is a hands-on architect having an innovative approach to solving data problems. He provides thought leadership and pursues strategies for engagements with the senior executives on innovation in data processing and analytics. He presently works for a large USA-based retail company.
Read more
See other products by Prashant Shindgikar
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