- March 25, 2019
Experts say data professionals are responsible for establishing a common vocabulary across the organization to help ensure data governance success and GDPR compliance.
- March 21, 2019
Machine learning will bring change to analytics and data management, said data luminary Michael Stonebraker. Others agree managing such change will take special effort.
- March 15, 2019
Many data professionals have yet to solidify traditional data management practices, but they have a new set of challenges to overcome to ensure data privacy and avoid misuse.
- March 12, 2019
Apache Kafka and Apache Spark connectors ease use of the Aerospike NoSQL data store in high-speed applications such as analytics that are becoming more broadly supported.
- March 11, 2019
Data catalog systems form a hub for managing a company's data. New products are focusing on machine learning and AI add-ons that help automate some aspects of data governance.
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 26, 2019
An in-memory data grid (IMDG) from Hazelcast lets designers tune subsystems to support consistency over availability, or the reverse, depending on what designers want.
- February 14, 2019
The Presto engine arose as an alternative to Hive for big data queries. Now, the Presto Software Foundation has formed to promote the SQL query software's virtues.
- February 11, 2019
StoryFit data scientists employ machine learning algorithms to gauge film script scenarios' prospects. They use Import.io tools to make data preparation easier.
- February 01, 2019
Cloud giants like AWS have adopted open source databases, causing Confluent, MongoDB and others to guard their assets the best way they know how: licensing.
- January 22, 2019
Cloud architecture, analytics and AI data processing are top innovation priorities for new Teradata CEO Oliver Ratzesberger. He talks about his goals in this Q&A.
- January 21, 2019
The Data.gov shutdown shows that, as open data can be turned off, data professionals may need to consider alternative sources for the kinds of data the government offers.
- January 15, 2019
Two wunderkinds of Hadoop have formalized their merger. Cloudera and Hortonworks say they will place special focus on AI as they chart the stand-alone vendor's future.
- January 10, 2019
IBM CEO Ginni Rometty pushed real-time weather data mining for travel and other uses, even as the Los Angeles city attorney is suing IBM's Weather Company unit over its sharing of location data with business partners.
- December 28, 2018
Better data governance, increased cloud use and wider DataOps adoption head the list of trends for data management teams to plan for in 2019, IT analysts say.
- December 18, 2018
Datawatch plans to add analytics and data visualization tools to its Swarm data preparation platform, starting with integration capabilities in a Swarm 2.2 release.