For some years now, Agile practices have been attracting application developers with their promise of short iterations, fast releases, and software that gets out there sooner. Those same practices are now entering the database space, but how can database development teams adapt, and where should they start?
There is a right way and a wrong way to engineer effective telemetry systems and there is a finite combination of practices which — whatever your choice of individual tools — are predictive of success. If you are building or designing your next monitoring system, take a look at this short list of habits exhibited by the most successful monitoring systems in the world today.
Many of the Big Data technologies in common use originated from Google and have become popular open source platforms, but now Google is bringing an increasing range of big data services to market as part of its Google Cloud Platform. InfoQ caught up with Google's William Vambenepe, who's lead product manager for Big Data services to ask him about the shift towards service based consumption.
In this article, author describes the role of data analytics in healthcare space with emerging wearable technologies like biophysical interfaces, physiological sensors and embedded diagnostic tools.
NoSQL for Mere Mortals introduces the major types of databases that fall under the NoSQL umbrella and explains both their advantages and shortcomings. Review and interview with the author.
In this article, based on a research study, author presents big data as service-oriented and evolutionary case of disruptive IT-enabled services (IESs) rather than as datasets.
In this article, author discusses evolving technologies like Machine Learning and IoT, how organizations can benefit from these new sources of information and intelligence.
DevOps is the industrialization of IT, says Nati Shalom. Organizations that wish to optimize for speed and cost cannot afford silos anymore."Doing DevOps" is not adding new features to existing tools.
Graph NoSQL databases support data models with connected data. In this article, author discusses security implications of graph databases in use cases like graph discovery and knowledge management.
When building a web application there are lot of choices for the database. In this article, author discusses why Neo4j is a good choice if data model contains lot of connected data and relationships.
In this article, Carlos Bueno describes a method for analyzing constraints on the shape and flow of data in systems. He also discusses details of two use cases, movie streaming and face recognition.
Spark SQL, part of Apache Spark, is used for structured data processing by running SQL queries on Spark data. Srini Penchikala discusses Spark SQL module & how it simplifies data analytics using SQL. 1