What is Big Data? Google FireStore MemoryStore Python Tutorial, part 1

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Learn to code Big Data like a pro with Google's FireStore and MemoryStore! In this beginners tutorial you'll learn google's latest technologies for data science programming in python.

Computer science has has in incredible changes in the last few years because of one revolutionary technology, cloud computing. Cloud computing has completely changed what's possible in data science and big data programming. In this video we learn how to make the most out of Google Cloud's Platform (also GCP). The main tools on Google Cloud that we will learn about are the Firebase Firestore, MemoryStore, and Datastore. I also show how to integrate these technologies with Jupyter using io, a version of jupyter that works on any device! (ipad, android, chrome, mac). Other computer science topics that you'll learn about are keys, security, and redis. With these tools you have everything to launch you own super computer!

In these video’s I also consider the impact that big data has on society. We hear a lot about Big Data in the news and songs, what is big data? And how does it actually affect your online privacy. In these videos I hope to answer these questions.
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Amazing! So easy to understand - I just love your step by step instructions. Your videos are really great learning tools. Thanks for posting!

americanmominengland
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This is a great tool for Biomedical Informatics. I’m looking forward to learning more so I can use it for my final project.

michaelfranco
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Cool! Very excited to see the applications!
Thanks

azizprofessor
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Wonderful videos. Thank you. Do you think you could number these videos? If one is not following on an ongoing basis, it Is difficult to know the sequence. This limits their usefulness.

chakrapaniutube
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Your videos are really cool. Could you please share the roadmap that includes the way a beginner[like i have a good java experience] should approach for Datascience/Machine learning and Artificial Intelligence+ Python. Could you please make a video on this.
Thankyou

raghuram
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Speaking of storage, can one directly store the data in Jupyter notebook that is on “Io” to google drive, iCloude, OneDrive, or .... instead of Github?
Thanks again!

azizprofessor
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