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by Supun Kamburugamuve, Saliya Ekanayake
Foundations of Data Intensive Applications
Cover
Title Page
Introduction
History of Data-Intensive Applications
Data Processing Architecture
Foundations of Data-Intensive Applications
Who Should Read This Book?
Organization of the Book
Scope of the Book
References
References
CHAPTER 1: Data Intensive Applications
Anatomy of a Data-Intensive Application
Parallel Applications
Application Classes and Frameworks
What Makes It Difficult?
Summary
References
Notes
CHAPTER 2: Data and Storage
Storage Systems
Data Formats
Data Replication
Data Partitioning
NoSQL Databases
Message Queuing
Summary
References
Notes
CHAPTER 3: Computing Resources
A Demonstration
Computer Clusters
Data Analytics in Clusters
Distributed Application Life Cycle
Computing Resources
Cluster Resource Managers
Job Scheduling
Summary
References
Notes
CHAPTER 4: Data Structures
Virtual Memory
The Need for Data Structures
Object and Text Data
Vectors and Matrices
Table
Summary
References
Notes
CHAPTER 5: Programming Models
Introduction
Data Structures and Operations
Message Passing Model
Distributed Data Model
Task Graphs (Dataflow Graphs)
Batch Dataflow
Streaming Dataflow
SQL
Summary
References
Notes
CHAPTER 6: Messaging
Network Services
Messaging for Data Analytics
Distributed Operations
Distributed Operations on Arrays
Distributed Operations on Tables
Advanced Topics
Summary
References
Notes
CHAPTER 7: Parallel Tasks
CPUs
Accelerators
Task Execution
Batch Tasks
Streaming Tasks
Summary
References
CHAPTER 8: Case Studies
Apache Hadoop
Apache Spark
Apache Storm
Kafka Streams
PyTorch
Cylon
Rapids cuDF
Summary
References
Notes
CHAPTER 9: Fault Tolerance
Dependable Systems and Failures
Recovering from Faults
Checkpointing
Streaming Systems
Batch Systems
Summary
References
CHAPTER 10: Performance and Productivity
Performance Metrics
Performance Factors
Finding Issues
Programming Languages
Productivity
Summary
References
Notes
Index
Copyright
Dedication
About the Authors
About the Editor
Acknowledgments
End User License Agreement
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Foundations of Data Intensive Applications
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Introduction
Foundations of Data Intensive Applications
Large Scale Data Analytics under the Hood
Supun Kamburugamuve
Saliya Ekanayake
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