About the Author
Part 1: Big Data
Part 2: The Data Warehousing
Part 3: Building the Big Data – Data Warehouse
Part 1: Big Data
Chapter 1. Introduction to Big Data
Defining Big Data
Why Big Data and why now?
Big Data example
Chapter 2. Working with Big Data
Chapter 3. Big Data Processing Architectures
Data processing revisited
Data processing techniques
Data processing infrastructure challenges
Shared-everything and shared-nothing architectures
Big Data processing
Telco Big Data study
Chapter 4. Introducing Big Data Technologies
Distributed data processing
Big Data processing requirements
Technologies for Big Data processing
Textual ETL processing
Chapter 5. Big Data Driving Business Value
Case study 1: Sensor data
Case study 2: Streaming data
Case study 3: The right prescription: improving patient outcomes with Big Data analytics
Case study 4: University of Ontario, institute of technology: leveraging key data to provide proactive patient care
Case study 5: Microsoft SQL server customer solution
Case study 6: Customer-centric data integration
Part 2: The Data Warehousing
Chapter 6. Data Warehousing Revisited
Traditional data warehousing, or data warehousing 1.0
Data warehouse 2.0
Chapter 7. Reengineering
Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse.
As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory.
Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse.
- Learn how to leverage Big Data by effectively integrating it into your data warehouse.
- Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies
- Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements
Technical/Enterprise architects, Data Warehouse & Big Data professionals, developers, managers and business analysts.
- No. of pages:
- © Morgan Kaufmann 2013
- 21st May 2013
- Morgan Kaufmann
- eBook ISBN:
- Paperback ISBN:
"This book argues that big data, with its three key dimensions of volume, velocity, and variety, presents a challenge that data analysts can’t ignore…the author considers how new technologies such as cloud computing, data virtualization, and solid-state drives (SSDs) will affect data warehousing…Overall, I found the book easy to read and understand. It’s written from the perspective of a practitioner; as such, it is meant for a hands-on person."--ComputingReviews.com, December 13, 2013
"Many times people confuse Big Data as a replacement for the data warehouse, but that is not true… and this book will help you and your organization understand how the two can co-exist…If your organization has established data warehouses and is looking to embrace Big Data, look no further than Data Warehousing in the Age of Big Data for advice on how to succeed in those efforts."--Data and Technology Today blog, August 8, 2013
"Krishnan, an expert on data warehousing, explains how Web 2.0 (e.g., Google, Facebook, Groupon) has transformed the way business is conducted. Krishnan traces the emergence of the data warehouse and discusses its technologies, processing architectures and challenges, and how to integrate big data and data warehousing."--Reference & Research Book News, October 2013
"Content-wise, the book targets two audiences. Readers coming from a data warehousing background will learn where big data fits in and how specific challenges can be addressed. For readers working in a big data community, the book will be very valuable for understanding the link between big data and data warehousing. For both groups, the book is an excellent and welcome addition to the literature."--ComputingReviews.com, September 20, 2013
"Data Warehousing in the Age of Big Data is an updated look at the seminal data store of our ti
Krish Krishnan is a recognized expert worldwide in the strategy, architecture and implementation of high performance data warehousing solutions and unstructured Data. A sought after visionary data warehouse thought leader and practitioner, he is ranked as one of the top strategy and architecture consultants in the world in this subject. Krish is also an independent analyst, and a speaker at various conferences around the world on Big Data and teaches at TDWI on this subject. Krish along with other experts is helping drive the industry maturity on the next generation of data warehousing, focusing on Big Data, Semantic Technologies, Crowdsourcing, Analytics, and Platform Engineering. Krish is the founder president of Sixth Sense Advisors Inc., a Chicago based company providing Independent Analyst services in Big Data, Analytics, Data Warehouse and Business Intelligence.
Founder and President of Sixth Sense Advisors, Inc., Chicago, Illinois