BigQuery and Datalab - End-to-End Machine Learning with TensorFlow on GCP from Google Cloud #8
Skills:
ML Pipelines70%
Key Takeaways
Demonstrates how to use BigQuery and Datalab for data exploration and analysis
Full Transcript
in the previous lessons we quickly reviewed bigquery and Python notebooks let's now look at them in combination because the two technologies complement each other very well so here I have the query as a string and I'm using a Python package Google the data lab data query does Python package to execute the query that's the executor taking the query passing in the string and calling the execute method and then I'm taking the result that comes back and converting the result into a panda's data frame DF is a panda's data frame DF dat head shows the first few rows of the result set now this is an extremely powerful paradigm because bigquery allows you to compute aggregate statistics on very large data sets interactively and then you can use Python plotting commands to create impactful visualizations for example take this so that's what you're seeing here so using pandas and bigquery together in a notebook the combination of Python and bigquery in a notebook rocks in this code snippet get distinct values is like the code on the previous slide it's like this code this is essentially carried out using a sequel query and there's probably a count distinct in the sequel and the result is coming back into a data frame and once we have that data frame we can now use a panda's functionality to sort and to plot so we are using bigquery to carry out aggregation using sequel on millions of rows in the first command and then getting back a panda's data frame and using the pandas functionality to sort and to plot the data that we got back and we're basically getting the results in a Python notebook so we get to work interactively in a PI the notebook on datasets that are tremendously large so this is what you will do in the first lab
Original Description
This video is part of an online course, End-to-End Machine Learning with Tensorflow from Google Cloud. Enroll today at https://www.coursera.org/learn/end-to-end-ml-tensorflow-gcp?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=googlecloud to get access to the full course.
About this course:
In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization.
One of the best ways to review something is to work with the concepts and technologies that you have learned.
So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform
Prerequisites:
Basic SQL, familiarity with Python and TensorFlow
Visit https://www.coursera.org/learn/end-to-end-ml-tensorflow-gcp?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=googlecloud to learn more!
Specialization: https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp
Keep in touch with Coursera!
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