The best business analysts understand the value of having a "conversation" with their data. The idea is that they can pose queries, examine results, then quickly modify their questions to home in on a desired answer. This kind of iterative process creates a fluid environment that is highly conducive for identifying meaningful patterns in data. Register for this episode of Hot Technologies to hear Bloor Group Chief Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they outline why fluid analytics should be the norm and which hurdles still stand in the way. They'll be briefed by Bullett Manale of IDERA who will demonstrate his company's diagnostic platform for analytics. He'll provide context, and also deliver a demo that shows real-world solutions that enable iterative analytics.
8. The DBA
For sophisticated databases
(Oracle, SQL Server, DB2, etc.)
database tuning is a tough job,
but a SECURE job
9. file://localhost/Users/robinbloor2/Dropbox/
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The Database Landscape
u Relational databases still dominate in
popularity (> 95%)
u MS SQL Server is second in popularity to
Oracle
u Used both for OLTP and query workloads
u Alternatives (NoSQL & Graph) used mainly
for analytics
u Most companies standardize and use
alternatives only in exceptional
circumstances
u Databases are “strategic” and they evolve
u Neither Hadoop nor Spark is a database
13. file://localhost/Users/robinbloor2/Dropbox/
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Database Issues
u Database entropy (proliferating
instances) is very common – it’s
the norm, with databases being
used as “cupboards”
u Few databases are self-tuning or
properly tuned (especially the ones
that perform)
u SQL needs to be tuned (particularly
for JOINS)
u Most companies employ few DBAs
(they’re expensive)