- 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.
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
Sponsored by Intel - Hyperconverged infrastructure promises to make organisations more agile and cost-effective, with new storage technologies replacing legacy systems within a high-performance software-defined IT architecture. See More
- 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.
- September 29, 2016
Among a handful of new SQL-oriented, in-memory databases is MemSQL. Recent product updates are meant to improve data pipeline creation and performance in high-speed ingestion applications.
- September 15, 2016
HPE is paring down its software holdings, including analytical database software in the Vertica line and other big data tools. A sale to Micro Focus is due to close next year, leaving users in some limbo for now.
- August 31, 2016
Vertica 8.0 expands the analytical database's support for Kafka, Spark and Hadoop. That's an important step, as the Hewlett Packard Enterprise technology tries to compete in a field of diverse data tools.
- August 30, 2016
Cloud data warehouse offerings from smaller vendors seek to address functionality gaps that bigger players may miss. Newcomer Snowflake Computing targets concurrent queries, for example.
- August 23, 2016
Managed data services are growing in use, as types of data stores proliferate and the cloud becomes the home for more data. DevOps is a driver behind the changes, which bring new duties and needed skills for DBAs.