Cloud Data Warehousing for Dummies

As an executive, manager, or analyst, you’re well aware that
knowledge is power and that data properly analyzed on a
timely basis provides the insight necessary to make wellinformed
decisions and achieve a competitive advantage.


Today, companies have a much greater collection of more relevant
data than ever before. This includes a diverse range of sources,
internal and external, including data marts, cloud-based applications,
and machine-generated data.


Unfortunately, the data warehouse architecture of the past strains
under the burden of extremely large, diverse data sets. Analysts
often wait 24 hours or more for data to flow into the data warehouse
before it’s available for analysis. They can wait even longer
for complex queries to run on that data. In many cases, the storage
and compute resources required to process and analyze that
data are insufficient. This leads to systems hanging or crashing.
To avoid this, users and workloads must be queued, which results
in even longer delays.


To remain efficient and competitive, organizations must be able
to harness the power of the vast amounts of data constantly being
generated and conduct complex analysis on that data. Fortunately,
advances in computer hardware, architecture, and software can help
your organization meet this challenge and exceed your expectations.

 Data Center

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