Tag

data

Automating Privacy by Design, Part 3

From Privacy by Design by Nishant Bhajaria

This article series explores incorporating privacy into your design from the beginning using automation.

Automating Privacy by Design, Part 2

From Data Privacy by Nishant Bhajaria This article series explores incorporating privacy into your design from the beginning using automation. Take 40% off Data Privacy by entering fccbhajaria into the discount code box at checkout at manning.com. See part 1… Continue Reading →

Basic Probability and Statistical Analysis Using SciPy

From DataScience Bookcamp by Leonard Apeltsin This article covers: •   Analysis of Binomials using the SciPy library. Take 40% off Data Science Bookcamp by entering fccapeltsin into the discount code box at checkout at manning.com. Statistics is a branch of… Continue Reading →

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.

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