10 Important Features for Big Data Analytics Tools
Traditional BI tools can't deal with big, fast
Topic: Big data platforms
Special Report: Why Companies Use Hadoop
A 55-page report on the state of enterprise Hadoop adoption, including vendors, use cases, and
Building a Smart Data Lake While Avoiding the ‘Dump’
A data lake needs to be fed and governed properly before analytics can discover kernels of
With Apache Spark, Old Mainframes Learn New Tricks
Running Spark on the mainframe can be advantageous because data is co-located. One use is fraud
Population Mapping With Real-Time Mobile Phone Data
Telecoms have valuable real-time data they can sell for urban planning. The challenge: build a platform to analyze
Hadoop Data in the Dark? How Governance, Metadata Can Help
Data governance and metadata synchronization can prevent Hadoop data from going dark.
First Look Video: TIBCO’s Apache Spark Accelerator
“When we look at what's behind the dynamic growth in the big data arena, right now we see it at Apache
Data Warehouse Design: A Move to Real Time
Modern data warehouse design often involves new platforms that can deal with new sources of unstructured and real-time data, as well as use of
Why Apache Spark Is So Hot
Apache Spark offers fast speeds, integration with a variety of programming languages, and flexibility. But Spark vs. Hadoop MapReduce is not an either-or
Five Big Data Trends: Emerging Technologies
Big Data trends and emerging technologies include self-service data preparation, the cloud, Internet of Things, data-as-a-service, and embedded