更新时间：2021-07-02 22:48:29
coverpage
Title Page
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
Introduction to Data
Exploring data
What is Enterprise Data?
Enterprise Data Management
Big data concepts
Big data and 4Vs
Relevance of data
Quality of data
Where does this data live in an enterprise?
Intranet (within enterprise)
Internet (external to enterprise)
Business applications hosted in cloud
Third-party cloud solutions
Social data (structured and unstructured)
Data stores or persistent stores (RDBMS or NoSQL)
Traditional data warehouse
File stores
Enterprise's current state
Enterprise digital transformation
Enterprises embarking on this journey
Some examples
Data lake use case enlightenment
Summary
Comprehensive Concepts of a Data Lake
What is a Data Lake?
Relevance to enterprises
How does a Data Lake help enterprises?
Data Lake benefits
How Data Lake works?
Differences between Data Lake and Data Warehouse
Approaches to building a Data Lake
Lambda Architecture-driven Data Lake
Data ingestion layer - ingest for processing and storage
Batch layer - batch processing of ingested data
Speed layer - near real time data processing
Data storage layer - store all data
Serving layer - data delivery and exports
Data acquisition layer - get data from source systems
Messaging Layer - guaranteed data delivery
Exploring the Data Ingestion Layer
Exploring the Lambda layer
Batch layer
Speed layer
Serving layer
Data push
Data pull
Data storage layer
Batch process layer
Relational data stores
Distributed data stores
Lambda Architecture as a Pattern for Data Lake
What is Lambda Architecture?
History of Lambda Architecture
Principles of Lambda Architecture
Fault-tolerant principle
Immutable Data principle
Re-computation principle
Components of a Lambda Architecture
CAP Theorem
Eventual consistency
Complete working of a Lambda Architecture
Advantages of Lambda Architecture
Disadvantages of Lambda Architectures
Technology overview for Lambda Architecture
Applied lambda
Enterprise-level log analysis
Capturing and analyzing sensor data
Real-time mailing platform statistics
Real-time sports analysis
Recommendation engines
Analyzing security threats
Multi-channel consumer behaviour
Working examples of Lambda Architecture
Kappa architecture
