Using ORC Files to Speed Data Analytics
Why trying to analyze big data in the form of CSV and TSV files can be a colossal
Why trying to analyze big data in the form of CSV and TSV files can be a colossal
Data and source-agnostic platforms will beat out siloed systems; Spark and machine learning continue to
Traditional BI tools can't deal with big, fast
A 55-page report on the state of enterprise Hadoop adoption, including vendors, use cases, and
A data lake needs to be fed and governed properly before analytics can discover kernels of
Running Spark on the mainframe can be advantageous because data is co-located. One use is fraud
Telecoms have valuable real-time data they can sell for urban planning. The challenge: build a platform to analyze
Data governance and metadata synchronization can prevent Hadoop data from going dark.
“When we look at what's behind the dynamic growth in the big data arena, right now we see it at Apache
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