natarajanc

from datetime import timedelta
from airflow import DAG

from dw_airflow.airflow_utils import etl_helpers   # internal helper module


def create_dag(dag_id, dag_schedule, dag_start_date, data_source, notify_always=True):
  """
  Create ELT DAG from template based on data source and env
  Args:

natarajanc

{
 "metadata": {
  "name": "soccer interactive"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

natarajanc

{
 "metadata": {
  "name": "soccer interactive"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

natarajanc

# -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>

# <headingcell level=2>

# Soccer 101 - Player Positions

# <codecell>

from IPython.core.display import Image