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文件名称：Big+Data+Analytics+with+Java-Packt+Publishing(2017).pdf
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更新时间：2021-03-16 15:15:07
BigData 大数据 Java
Even as you read this content, there is a revolution happening behind the scenes
in the field of big data. From every coffee that you pick up from a coffee store to
everything you click or purchase online, almost every transaction, click, or
choice of yours is getting analyzed. From this analysis, a lot of deductions are
now being made to offer you new stuff and better choices according to your
likes. These techniques and associated technologies are picking up so fast that as
developers we all should be a part of this new wave in the field of software. This
would allow us better prospects in our careers, as well as enhance our skill set to
directly impact the business we work for.
Earlier technologies such as machine learning and artificial intelligence used to
sit in the labs of many PhD students. But with the rise of big data, these
technologies have gone mainstream now. So, using these technologies, you can
now predict which advertisement the user is going to click on next, or which
product they would like to buy, or it can also show whether the image of a tumor
is cancerous or not. The opportunities here are vast. Big data in itself consists of
a whole lot of technologies whether cluster computing frameworks such as
Apache Spark or Tez or distributed filesystems such as HDFS and Amazon S3 or
real-time SQL on underlying data using Impala or Spark SQL.
This book provides a lot of information on big data technologies, including
machine learning, graph analytics, real-time analytics and an introductory
chapter on deep learning as well. I have tried to cover both technical and
conceptual aspects of these technologies. In doing so, I have used many real-
world case studies to depict how these technologies can be used in real life. So
this book will teach you how to run a fast algorithm on the transactional data
available on an e-commerce site to figure out which items sell together, or how
to run a page rank algorithm on a flight dataset to figure out the most important
airports in a country based on air traffic. There are many content gems like these
in the book for readers.