Big Data
Big Data
Cheers to
the lost words and sadness’s loss and to losing loves.
Cheers to
amnesia and memories uncorked and swirling here.
Speaking
with the data manager, his logic’d
Query: “Can you send me a screenshot
Of what
you don’t see that you claim now
Was there yesterday? Or data dump?”
Was it
ever really there or was it imagined: self-made?
Was it a
dreamy concoction: a sugar-rimmed cocktail?
First I
looked at the database, SQL’d for
Timestamps against blanks, then nulls.
Without
returns, without results, neither
Zeroes nor ones nor bread crumbs even.
Of course
it was there. I saw it, used it, for Crissakes.
I tasted
it, imbibed. I swallowed every solid drop of it.
So I went
to the server manager, asking anew,
“May we restore from the backup, back to
The last
time the data was present and usable?”
“We can, but that wipes out everything since.”
What
about others’ memories, their solid interactions?
Their
sobrieties and drunkenness, intervening cravings?
“Go back
to the source, rebuild it, re-enter it.”
“But those transactions are partial-purged.”
“Go back
to the master data. To the constants.”
“But do we have tolerances for
inexactness?”
But I
want it here now, like yesterday, without the pain.
But I
want it here tomorrow, without the tedious work.
So, I
found it, hard copies, ink on paper, tales
Retold in the warehouse, on picking slips,
On work
orders, invoices and cleared checks.
I found it, alongside misprints and short-pays.
It was
here, and never left, an unfolding story still told.
It is
here in heart and soul: indelible and poetic: lovely.
“What did
it cost? To hunt down that lost data?”
The CFO asked, “Was the data even material?”
“Relevant,
yes. The auditors can decide that.”
“I had a reason for losing it, so you know.”
Drink up
this moment, us together: sullen, inebriated, heavy.
Cheers to
the found and finding, to the mysteries made clear.
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