Category: Data Science

August 12, 2019

Who can forget when the unpredictable happened and Leicester City won the Premier League in 2016? Thanks are due, in part, to data and analytics. When it comes to data-driven insights in football, the club is one of the most […]

March 13, 2019

The problem with data, whether it’s a report, an email, a spreadsheet or any other file type, is that internal personnel have to deal with it, typically through the uses of multiple applications in different locations with no real control. […]

February 28, 2019

Testing applications is a maturing discipline with tools that help quality assurance teams develop and automate functional tests, run load and performance tests, perform static code analysis, wrap APIs with unit tests, and validate applications against known security issues. Teams […]

February 12, 2019

One of the big issues facing anyone building a data-driven devops practice is, quite simply, the scale of the data you’re collecting. Logs from millions of users quickly add up, and the same is true of the internet of things […]

December 13, 2018

Broadly speaking, companies today fall into one of three levels of maturity when it comes to their data infrastructure: Primitive, standard, and high-performance. A primitive infrastructure has little or no dedicated management of the data, is mostly built on excel […]

November 20, 2018

The accessibility of data has provided a new generation of technology and has shifted the business focus towards data-driven decision making. Big Data Analytics is now an established part of gathering Business Intelligence. Many businesses, particularly those online, consider Big […]

November 9, 2018

A recent press release reports, “Accenture has invested in and formed a strategic alliance with Quantexa, a leading data analytics firm that provides technology solutions to uncover new intelligence. The minority investment made by Accenture Ventures will help Quantexa accelerate […]

November 9, 2018

There are many declinations of Data Science projects: with or without labeled data; stopping at data wrangling or involving Machine Learning algorithms; predicting classes or predicting numbers; with unevenly distributed classes, with binary classes, or even with no examples at […]

November 6, 2018

In the second edition of the Data Management Book of Knowledge (DMBOK 2): “Data Architecture defines the blueprint for managing data assets by aligning with organizational strategy to establish strategic data requirements and designs to meet these requirements.” Another way […]

October 29, 2018

A recent press release states, “Igneous’ cloud-native solution – consisting of Igneous DataDiscover, Igneous DataProtect and Igneous DataFlow – delivers superior data visibility, efficient data protection and automated data movement to data-centric organizations like Paige.AI, regardless of where datasets reside. […]