Okay, we have a

Now what?

Suppose I need these two values Every week on new data

Don’t paste!

Make repeatable analyses (without clicking) Easily add data

Structured query language

Developed at IBM

Structured query language Developed at IBM Usually NOT considered a programming language

Structured query language Developed at IBM Usually NOT considered a programming language But a “domain specific language”

Structured query language Developed at IBM Usually NOT considered a programming language But a “domain specific language” Aimed at analyzing and manipulating DATA

Suppose I need these two values Every week on new data

Where is like ‘filter’ in Excel

But we need temperature?

In Excel, we did a lookup

Temperature is here

To fix a bit (move rows up)

This results in Carthesian product

This is called a ‘JOIN’

Very similar to VLOOKUP

We have a temperature field now

We have the filter

We still need to show: Machine & temperature

Benefit over Excel: We can have multiple such queries

Benefit over Excel: We can have multiple such queries

We have the right data

We have the right data But! We need ‘pivot like’ summary on average

AVG of what? Of everything? Per machine?

AVG of what? Of everything? Per machine?

Almost there!

Suppose I need these two values Every week on new data

Remember lecture 1?

Make repeatable analyses (without clicking) Easily add data

Can’t pick field names now

We made an easily repeatable analysis!