* 310 schedules

Data Sync

* In Plain English

ETL pipelines, data replication, and feed ingestion schedules.

* Scheduling Guide

Data sync schedules drive ETL pipelines, feed ingestion, and cross-system replication. The right frequency depends on the acceptable lag in your downstream consumers: analytical dashboards can tolerate hourly or daily sync while operational systems may need near-real-time data. A common pattern is to run a full sync nightly (catching any missed delta records) and an incremental sync every few minutes during business hours. Scheduling data sync jobs requires awareness of upstream availability windows — syncing from a database that runs its own maintenance at 3 AM will produce empty or partial results unless you offset your schedule by 30–60 minutes. Always build idempotency into the job so re-running a failed sync does not duplicate records.

30 17 * * 5

Every Friday at 5:30 PM

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15 23 * * 5

Every Friday evening at 11:30 PM

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45 12 * * 5

Every Friday at quarter to one in the afternoon

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0 2 * * 5

Every Friday morning at 2 AM

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15 2 * * 5

Every Friday morning at quarter past two

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45 3 * * 5

Every Friday morning at 3:45 AM

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0 15 5 ? * 6l

Every Friday at 3 PM Eastern Daylight Time

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45 4 * * 5

Every Friday morning at quarter to five

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0 4 * * 5

Every Friday morning at 4 AM

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0 15 17 ? * 6l

Every Friday at 5 PM

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0 21 * * 5

Every Friday evening at 9 PM

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45 0 * * 5

Every Friday morning at 12:45 AM

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30 * * * *

Every hour at 30 minutes past the hour

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15_12_ * _ * _ *

Every day at 12:15 PM

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0_7_ * _ * _ *

Every day at 7 AM

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0 0/1 * * ? *

Once every hour, right at the top of the hour.

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0 * * * *

At the beginning of every hour, all day

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rate(1 hour)

Once every hour, on the hour

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h h 1 * *

Every hour at the top of the hour

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45 12 1,15 * *

Twice a month, at 12:45 PM on the first and fifteenth day.

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0 15 12 * ? *

Every day at 12:15 PM

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30 13 * * 1

Runs every Monday at 1:30 PM.

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30 10 * * 1

Every Monday at 10:30 in the morning

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0 2 * * 1

Every Monday morning at 2 AM

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