What is a data lake? Flexible big data management explained
A data lake can be a much more flexible repository than a data warehouse. Or it can be a trash dump that grows and grows
A data lake can be a much more flexible repository than a data warehouse. Or it can be a trash dump that grows and grows
Public clouds are the future of enterprise big data analytics, and their use is creating the unified platform needed to fully gain its value
Apache Kafka continues its ascent as attention shifts from lumbering Hadoop and data lakes to real-time streams
The free Dremio Big Data Debt Calculator is a new tool from data analytics startup Dremio designed to help enterprises estimate the unplanned cost that stems from the use of non-relational data management technologies.
The Trillium Precise data-as-a-service product is a data quality and enrichment offering that’s designed to provide single view of your customers enhancing identification, communication and interaction.
The trade-offs of building it yourself vs. going with a pre-integrated, out-of-the-box platform
Big data and advanced analytics continued to make inroads in the enterprise in 2016 as organizations learned how to interrogate data to better understand their customers and drive efficiencies.
Big data cloud deployments have surged over the past year and business intelligence is now the number 1 big data workload, according to a new survey of big data professionals.
The FAA today released new regulations for the low-altitude operation of commercial small unmanned aircraft, which has the potential to unlock a wave of new data and business models built on that data.
Data science is a hot new career, but companies still aren't sure how to best use these employees. Here’s how to hire data scientists with a clear strategy in place.
Dayton Superior, a supplier of concrete and other materials for projects ranging from the Panama Canal to the Trump Ocean Club, is using a data-driven approach to price optimization to help it align prices with all the various markets in which it operates.
Business analytics need to be relevant, not necessarily 'big.'
As with many industries, big data science is transforming the energy vertical, providing insights into cost reductions in down markets and allowing oil producers to adjust to market demands in boom times.
The ODPi Runtime Specification and test suite is designed to help organizations write Hadoop-based applications once with the confidence that they will run on a variety of Hadoop distributions.
An assessment of the components required in a modern data architecture
Mission-based organizations, including those helping the recent wave of Syrian refugees, are using big data to improve their response efforts.
Data and analytics were a hot topic at CIO.com in 2015. Here are the 10 most-viewed big data and analytics stories of the year.
The Hadoop distribution specialist has announced MapR Streams, which will combine with its Hadoop distribution and NoSQL database to integrate file, database, stream processing and analytics to support new data-driven applications.
Research from PwC and Iron Mountain reports some surprising statistics about how companies are using the data they collect.
Many industries are now adopting NoSQL database technology for crucial business applications, replacing their relational database deployments to gain flexibility and scalability
Organisations need to take a deeply strategic approach to application modernisation.