Problem description

Be able to read public GCS files without providing credentials.

Steps/code to reproduce the problem

path = "gs://tensorflow-nightly/prod/tensorflow/release/ubuntu_16/gpu_py37_full/nightly_release/18/20190813-010608/github/tensorflow/pip_pkg/tf_nightly_gpu-1.15.0.dev20190813-cp37-cp37m-linux_x86_64.whl"

import smart_open
try:
    f = smart_open.s

import string

my_project = 'pj-becfr-eagle-ci-dev'
my_dataset = 'dm_express_assortment_V1'

import ibis
import ibis_bigquery
from google.cloud import bigquery
import pandas as pd

my_table = 'issue_3_table'

pdf = pd.DataFrame({'a': [1], 'b': [2], 'c': [3]})

# Load client
client = bigquery.Client(project=my_project)

# Load data to BQ
client.delete_table(my_dataset + "." +

Similar to how unix ls works, param could be -t

Given the new key-value store event stream, it'd be nice to have something like:

$ skein kv events <application id> [options...]

where the process blocks, and logs the event stream to the console until interrupted. This would be useful for debugging, as well as demos.