Data is getting bigger, arriving faster, and coming in varied formats—and it all needs to be processed at scale for analytics or machine learning. How can you process such varied data workloads efficiently? Enter Apache Spark. Updated to emphasize new features in Spark 2.x., this second edition shows data engineers and scientists why structure and unification in Spark matters. ...(展开全部)

【作者简介】 Holden Karau　资深软件开发工程师，现就职于Databricks公司，之前曾就职于谷歌、亚马逊、微软和Foursquare等著名公司。他对开源情有独钟，参与了许多开源项目，如Linux内核无线驱动、Android程序监控、搜索引擎等，对存储系统、推荐系统、搜索分类等都有深入研究。 【译者简介】 余璜　阿里巴巴核心系统研发工程师，OceanBase核心开发人员，对分布式系统理论和工程实践有深刻理解，专注于分布式系统设计、大规模数据处理，乐于分享，在CSDN上分享了大量技术文章。 张磊　Spark爱好者，曾参与分布式OLAP数据库系统核心开发，热衷于大数据处理、分布式计算。

This guide appeals to big data engineers, analysts, architects, software engineers, even technical managers who need to perform efficient data processing on Hadoop at real time. Basic familiarity with Java or Scala will be helpful.The assumption is that readers will be from a mixed background, but would be typically people with background in engineering/data science with no prior Spark experience and want to understand how Spark can help them on their analytics journey.

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of tools and analytical systems, including relational databases, NoSQL datastores, plus data warehouses and data lakes. What are the right choices for yo...(展开全部)

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of tools and analytical systems, including relational databases, NoSQL datastores, plus data warehouses and data lakes. What are the right choices for yo...(展开全部)

The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on an unprecedented scale, and the development of new theoretical tools has allowed us to extract ...(展开全部)

The concept of intersectionality has become a central topic in academic and activist circles alike. But what exactly does it mean, and why has it emerged as such a vital lens through which to explore how social inequalities of race, class, gender, sexuality, age, ability, and ethnicity shape one another? In this fully revised and expanded second edition of their popular text, P...(展开全部)

When first published in 1980, Dialectology broke new ground by integrating urban dialectology (sociolinguistics), dialect geography and spatial variation into a cohesive discipline. In this second edition, the authors take account of the renaissance of dialect research in the last twenty years. They offer new sections on dialectometry and mapping variability, a revised section ...(展开全部)