Learning Cascading
| Author | : | |
| Rating | : | 4.23 (929 Votes) |
| Asin | : | 1785288911 |
| Format Type | : | paperback |
| Number of Pages | : | 281 Pages |
| Publish Date | : | 2017-07-27 |
| Language | : | English |
DESCRIPTION:
Victoria has published numerous articles on topics ranging from text analytics to intelligence analysis and cyber security. Michael is a mathematician and computer scientist and is involved in machine learning, deep learning, predictive analytics, graph theory, and big data. Victoria earned a bachelor's degree in computer science from Purdue University and a master's degree in intelligence studies from the American Military University.. Michael served as the vice president of performance management in Whittman-Hart, Inc., based in Chicago, and as the chief operating officer of Infinis, Inc., a business intelligence consulting company based in Columbus, Ohio. Michael is a Cloudera Hadoop Certified Developer. Prior to working at Infinis, Michael was the vice president of product development and chief technology officer at Alta Analytics, and the producer of data mining and visualization software. Additionally, Victoria spent
The book starts by explaining how Cascading relates to core big data technologies such as Hadoop MapReduce. You will not only learn more advanced Cascading features, you will also write code to utilize them. Furthermore, you will gain in-depth knowledge of how to efficiently optimize a Cascading application. You must have a basic understanding of the big data paradigm and should be familiar with Java development techniques.What You Will LearnFamiliarize yourself with tuples, pipes, taps, and flows and build your first Cascading applicationDiscover how to design, develop, and use custom operationsDesign, develop, use, and reuse code with subassemblies and CascadesAcquire the skills you need to integrate Cascading with external systemsGain expertise in testing, QA, and performance tuning to run an efficient and successful Cascading projectExplore project management methodologies and steps to develop workable solutionsDiscover the future of
Michael is a mathematician and computer scientist and is involved in machine learning, deep learning, predictive analytics, graph theory, and big data. Her book An Introduction to Hacking & Crimeware: A Pocket Guide was published by IT Governance, UK, in January 2012. Prior to working at Infinis, Michael was the vice president of product development and chief technology officer at Alta Analytics, and the producer of data mi
Great Book I am new to "Big Data" so I enjoyed getting a functional understanding of Hadoop's overall structure in Chapter 1. Then each chapter helped build on the previous knowledge, and I found that a logical way to go. I was especially impressed when I got to chapter 8 which walked through a real life project from start to finish. The links to additional information, source code, utilities, libraries, and other content is very useful.This book is not a quick read! But it is clearly written from the perspective of practicing professionals. So it has a lot of helpful tips and suggestion. loved it!! Its a great introduction to a awesome framework. I loved the book and I also loved the framework. This book provides good introduction and goes in depth as well.Only criticism I have is that this book did not talk about how to build Cascading apps using Maven, Gradle etc. This is a really important step when learning any jvm language technology these days.