9781786465092
Architecting Data-Intensive Applications: Develop scalable,data-intensive,and robust applications the smart way
by: Anuj Kumar
ISBN-10: 1786465094
ISBN-13: 9781786465092
Released: 2018-07-31
Pages: 340
Book Description
Are you an architect or a developer who looks at your own applications gingerly while browsing through Facebook and applauding it silently for its data-intensive,yet ?uent and efficient,behaviour? This book is your gateway to build smart data-intensive systems by incorporating the core data-intensive architectural principles,patterns,and techniques directly into your application architecture.
This book starts by taking you through the primary design challenges involved with architecting data-intensive applications. You will learn how to implement data curation and data dissemination,depending on the volume of your data. You will then implement your application architecture one step at a time. You will get to grips with implementing the correct message delivery protocols and creating a data layer that doesn’t fail when running high traffic. This book will show you how you can divide your application into layers,each of which adheres to the single responsibility principle. By the end of this book,you will learn to streamline your thoughts and make the right choice in terms of technologies and architectural principles based on the problem at hand.
Contents
1: EXPLORING THE DATA ECOSYSTEM
2: DEFINING A REFERENCE ARCHITECTURE FOR DATA-INTENSIVE SYSTEMS
3: PATTERNS OF THE DATA INTENSIVE ARCHITECTURE
4: DISCUSSING DATA-CENTRIC ARCHITECTURES
5: UNDERSTANDING DATA COLLECTION AND NORMALIZATION REQUIREMENTS AND TECHNIQUES
6: CREATING A DATA PIPELINE FOR CONSISTENT DATA COLLECTION,PROCESSING,AND DISSEMINATION
7: BUILDING A ROBUST AND FAULT-TOLERANT DATA COLLECTION SYSTEM
8: CHALLENGES OF DATA PROCESSING
9: LET US PROCESS DATA IN BATCHES
10: HANDLING STREAMS OF DATA
11: LET US STORE THE DATA
12: WHEN DATA DISSEMINATION IS AS IMPORTANT AS DATA ITSELF
What You Will Learn
Understand how to envision a data-intensive system
Identify and compare the non-functional requirements of a data collection component
Understand patterns involving data processing,as well as technologies that help to speed up the development of data processing systems
Understand how to implement Data Governance policies at design time using various Open Source Tools
Recognize the anti-patterns to avoid while designing a data store for applications
Understand the different data dissemination technologies available to query the data in an efficient manner
Implement a simple data governance policy that can be extended using Apache Falcon
Authors
Anuj Kumar
Anuj Kumar is a senior enterprise architect with FireEye,a Cyber Security Service Provider where he is involved in the Architecture,Strategy,and Design of various systems that deal with huge amounts of data on a regular basis. Anuj has more than 15 years of professional IT Industry experience ranging from development,design,architecture,management,and strategy. He’s an active member of OASIS Technical Committee on STIX/TAXII specification. He is a firm believer in Agile Methodology,Modular/ (Staged) Event Driven Architecture,API-First Approach,and Continuous Integration/Deployment/Delivery.
Anuj is also an author of Easy Test Framework,which is a Data Driven Testing Framework used by more than 50 companies.
