- March 24, 2017
Blockchain data technology disruption may be in the offing. IDC's Stewart Bond says architecture at the core of controversial bitcoin may show a new path to data integrity.
- March 10, 2017
Businesses constantly need to evolve their programs for governing data. Nationwide's finance data governance team shares how it stepped up data governance strategy and processes.
- March 08, 2017
Application profiling software from Pepperdata is built on LinkedIn's Dr. Elephant open source entry. A primary goal is to get more Hadoop and Spark applications into production.
- February 21, 2017
Moving custom Spark and Hadoop pilot projects into production use has proved daunting. But container technology eased the transition at the Advisory Board analytics service.
- February 16, 2017
Spark Streaming architecture to date has focused much on programming perks. Now, as a bit of a hedge against other streaming choices, Drizzle comes to bat to cut streaming latency.
Sponsored by Intel - Remember what it felt like when you got your first solid state drive (SSD)? Back in 2008, laptops with a hard disk drive (HDD) felt unresponsive – they lagged and nearly ground to a halt when the virus scanner started accessing the HDD. Then Intel launched the X-25M SSD and laptops felt much more responsive. Gone was the lag. Nobody noticed when the virus scanner ran. See More
Sponsored by Intel - Businesses are excited about artificial intelligence (AI) and the benefits it offers, but like so many new technologies, that potential can be wasted if you don’t know where to begin the journey to production-ready AI. See More
Sponsored by Intel - The cloud is a natural fit for CIOs that wish to evaluate artificial intelligence (AI) because it lends itself to proof of concept (POC) and experimentation without the need for buying hardware that might ultimately not be required. See More
Sponsored by Intel - Artificial intelligence (AI) and machine learning are generating interest from IT leaders eager to discover how the technologies can help their business meet the constant demands of driving down costs, achieving growth, deriving insights from data, making decisions faster and improving efficiency. See More
- February 06, 2017
Predictive models help Jewelry Television's on-air hosts sell its wares, thanks to data integration and preparation processes that funnel a mix of data into the analytics applications.
- February 06, 2017
Data scientists building predictive models and machine learning algorithms often have to do more data preparation work upfront than is necessary in conventional analytics applications.
- February 06, 2017
Increased automation of data pipelines and more flexibility for data scientists through self-service software are taking hold as big data deployments change data preparation practices.
- February 03, 2017
The head of Kaiser Permanente's data governance program says data stewards hold the key to the initiative's success, and he offers advice on managing data stewardship processes.
- January 31, 2017
Big data analytics and digital transformation challenge the conventional data governance process, with many questions to answer in organizations. But a governed data lake shows how it can be done.
- December 02, 2016
Amazon's Athena data engine brings interactive SQL queries to S3 data sets and lets users pay as they go. It's based on an open source framework called Presto that Teradata and others also employ.
- November 30, 2016
The Louisiana Department of Health responded to flooding with the help of GIS software that located trouble spots with at-risk hospitals. Ease of use was welcome, according to a preparedness manager.
- October 28, 2016
Big data is moving from its bare-metal roots, and data streaming is a driver. Containers and microservices may have a role to play in what's next. An e-commerce application shows the way.
- October 06, 2016
What's in your toolbox? October's issue of Business Information turns the tables and puts that burning question to Capital One and several other business intelligence and data analytics software users. As the burgeoning worlds of ...
- September 30, 2016
Users increasingly are eyeing the cloud for big data management and analytics applications, and IT vendors are moving to ease the process -- and the price -- of running Hadoop in the cloud.