Christine Doig spoke at this year's OSCON Conference about data science as a team discipline and how to navigate the data science Python ecosystem. InfoQ spoke with Christine about challenges data science teams need to address to be more effective.
The so-called “object-relation impedance mismatch” has long been discussed in engineering circles. Most attempts at a solution rely try to mask the issue by pulling logic into the application tier. Kostiantyn Cherniavskyi looks at these issues and shows how many of them can be solved with hybrid databases such as Starcounter.
NoSQL databases have been around for several years and have become a preferred choice for managing unstructured data. InfoQ spoke with four panelists about the current state of NoSQL databases.
Big Data Analytics with Spark, authored by Mohammed Guller, provides a practical guide for learning Apache Spark. InfoQ and the author discuss the book & development tools for big data applications.
It makes no difference how hard you try- some form of lock-in is unavoidable. What matters most is understanding the layers of lock-in, and how to assess and reduce your switching costs.
Datastax recently announced DataStax Graph to support graph data models. InfoQ spoke with Martin Van Ryswyk from DataStax team about the new product. 1
In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concept & Spark MLlib library for running predictive analytics using a sample application.
Reveno is a powerful new, performant, JVM based lock-free transaction processing framework based on CQRS and event-sourcing patterns. In this article we develop a simple trading system using Reveno. 1
Data Science has been getting lot of attention as organizations are starting to use data analytics to gain insights into their data. This article takes a closer look at Data Scientist role in 2016.
In Spark in Action book, authors Petar and Marko discuss Apache Spark for data processing batch & streaming data. InfoQ spoke with them about Spark framework, developer tools, and upcoming features.
Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling. 5
Lana Gibson gave a talk at the AgileNZ conference on using analytics data to design web content, based on her experiences as Content Performance Lead working on the GOV.UK whole of government website