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CDP DATA ENGINEERING
Quickly orchestrate, automate, and optimize complex data pipelines for analytic excellence
Stage-12
on DAG: ingestion-ETL-job-1
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CLOUDERA
2 from datetime isport
4
9
30
Delete
6 = {
'Airflow
depends on past"
'wait for downstre
11
12
13
14
from dateutil import perser
from airflow import D
from cde_job_run_oper
Ther
start_date': part
'end_date': parse
Thon3f710f
'connection_id':
job_name': inge
'user': 'sahradia
'ingestion-ETL-10
T
OPTk12sompared with Ange CPU for the
Task Duration
40M
Task Tries * Landing Times
Applications/ETU-jobs/163
****
PART
Gantt
Details + Code
3420120EN
33.5MB
Securely deliver quality datasets everywhere
Managed, serverless Spark on Kubernetes with
zero set up time
Native Apache Airflow orchestration for
streamlined pipeline automation
Visual performance profiling for fast pipeline
troubleshooting & optimization
Rich APIs to automate and integrate with
existing workflows like CI/CD pipelines
Ⓒ2020 Cloudera, Inc. All rights reserved. 30View entire presentation