Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DOD-ETL: Distributed On-Demand ETL for Near Real-Time Business
  Intelligence   The competitive dynamics of the globalized market demand information on the
internal and external reality of corporations. Information is a precious asset
and is responsible for establishing key advantages to enable companies to
maintain their leadership. However, reliable, rich information is no longer the
only goal. The time frame to extract information from data determines its
usefulness. This work proposes DOD-ETL, a tool that addresses, in an innovative
manner, the main bottleneck in Business Intelligence solutions, the Extract
Transform Load process (ETL), providing it in near real-time. DODETL achieves
this by combining an on-demand data stream pipeline with a distributed,
parallel and technology-independent architecture with in-memory caching and
efficient data partitioning. We compared DOD-ETL with other Stream Processing
frameworks used to perform near real-time ETL and found DOD-ETL executes
workloads up to 10 times faster. We have deployed it in a large steelworks as a
replacement for its previous ETL solution, enabling near real-time reports
previously unavailable.

5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci