by Alan F Gates
Publisher: O'Reilly Media 2011
Number of pages: 222
Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.
Download or read it online for free here:
by Jacek Laskowski - GitBook
This collections of notes (what some may rashly call a 'book') serves as the ultimate place of mine to collect all the nuts and bolts of using Apache Spark. The notes aim to help me designing and developing better products with Apache Spark.
by Open Knowledge Foundation - School of Data
The Data Wrangling Handbook is a companion text to the School of Data. Its function is something like a traditional textbook -- it will provide the detail and background theory to support the School of Data courses and challenges.
by Lars George - O'Reilly Media
If you are looking for a solution to accommodate a virtually endless amount of data, this book will show you how Apache HBase can fulfill your needs. HBase scales to billions of rows and columns, while ensuring that performance remain constant.
by Julia Silge, David Robinson - O'Reilly Media
With this practical book, you'll explore text-mining techniques with tidytext, a package that authors developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext can make text analysis easy and effective.