Hadoop for Finance Essentials

Build real-life Python applications for quantitative finance and financial engineering with this book and ebook Overview Estimate market risk, form various portfolios, and estimate their variance-covariance matrixes using real-world data Explains many financial concepts and trading strategies with the help of graphs A step-by-step tutorial with many Python programs that will help you learn how to apply Python to finance In Detail Python is a free and powerful tool that can be used to build a financial calculator and price options, and can also explain many trading strategies and test various hypotheses. This book details the steps needed to retrieve time series data from different public data sources. Python for Finance explores the basics of progr...

Leverage the power and flexibility of the Clojure language for finance About This Book * Apply the Clojure programming language in financial analytics and to build financial applications * Work with high-level mathematical abstractions without having to implement low-level code for financial operations. * This is a practical tutorial that takes you through real-world examples of financial analytics and applications with Clojure Who This Book Is For If you're a finance professional who is currently using VBA (Excel) to perform financial calculations and quantitative analysis, and would like to use Clojure instead to improve their efficiency, then this book is for you. Basic knowledge of financial concepts is essential. Basic programming knowledge ...

Learn how to configure your Hadoop cluster to run optimal MapReduce jobs Overview Optimize your MapReduce job performance Identify your Hadoop cluster's weaknesses Tune your MapReduce configuration In Detail MapReduce is the distribution system that the Hadoop MapReduce engine uses to distribute work around a cluster by working parallel on smaller data sets. It is useful in a wide range of applications, including distributed pattern-based searching, distributed sorting, web link-graph reversal, term-vector per host, web access log stats, inverted index construction, document clustering, machine learning, and statistical machine translation. This book introduces you to advanced MapReduce concepts and teaches you everything from identifying the facto...