Rapid Data-Driven Sales Maximization and Churn Reduction

In this extensive coding session, Carl Gold–chief data scientist at Zuora Inc.–explains why fighting churn is all about targeted interventions.

Azure Data Lake Analytics – Writing and Running Jobs

In this video, seasoned IT professional Richard Nuckolls dives into writing and running Azure Data Lake Analytics jobs.

Keep your systems in top condition

From Tuning Up: From A/B testing to Bayesian optimization by David Sweet Take 40% off the entire book. Just enter code slsweet into the discount code box at checkout at manning.com. Tuning Up: From A/B testing to Bayesian optimization is a… Continue Reading →

Making Types Work for You

From Street Coder by Sedat Kapanoǧlu

This article discusses the importance of using data types in programming for writing and maintaining code bases.

Implementing a MapReduce Framework Using Python Threads

From High-Performance Python for Data Analytics by Tiago Rodrigues Antao

In this article we will start to explore Python’s framework for concurrency – the first step in developing parallel applications.

The Practical Guide to Data Leadership

From Become a Leader in Data Science by Jike Chong and Yue Cathy Chang

The Layers of a Cloud Data Platform

From Designing Cloud Data Platforms by Danil Zburivsky and Lynda Partner

In this article, we’ll layer some of the critical and more advanced functionality needed for most data platforms today. Without this added layer of sophistication your data platform would work but it wouldn’t scale easily, nor would it meet the growing data velocity challenges. It would also be limited in terms of the types of data consumers (people and systems who consume the data from the platform) it supports, as they’re also growing in both numbers and variety.

Getting started with graphs

From R in Action, Third Edition by Robert Kabacoff

This article dicusses graphs and graphic using the ggplot2 package

Techniques for handling modern big data applications

From Algorithms and Data Structures for Massive Datasets by Dzejla Medjedovic, Emin Tahirovic, and Ines Dedovic

All About Bloom Filters

From Algorithms and Data Structures for Massive Datasets by Dzejla Medjedovic, Emin Tahirovic, and Ines Dedovic

This article covers:

·  Learning what Bloom filters are, why and when they are useful

·  Understanding how Bloom filters work

·  Configuring a Bloom filter in a practical setting

·  Exploring the interplay between Bloom filter parameters

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