Episode Details

Le slack est ouvert !
http://bit.ly/invitebdh

Lancement d'Anthos
https://cloud.google.com/blog/topics/hybrid-cloud/new-platform-for-managing-applications-in-todays-multi-cloud-world

Cloud Run
https://cloud.google.com/blog/products/serverless/announcing-cloud-run-the-newest-member-of-our-serverless-compute-stack

Compute-optimized VM + Memory-optimized VM
https://cloud.google.com/blog/products/compute/introducing-compute-and-memory-optimized-vms-for-google-compute-engine

Confluent
https://www.confluent.io/blog/announcing-confluent-cloud-for-apache-kafka-native-service-on-google-cloud-platform

Moving from Cassandra to Auto-Scaling Bigtable at Spotify
https://www.youtube.com/watch?v=Hfd3VZOYXNU
https://labs.spotify.com/2018/12/18/bigtable-autoscaler-saving-money-and-time-using-managed-storage/

Bigquery BI Engine
https://cloud.google.com/bi-engine/docs/

BigQuery Storage API
https://cloud.google.com/bigquery/docs/reference/storage/

Bigquery Flat rate pricing
https://cloud.google.com/bigquery/pricing#flat_rate_pricing

Bigquery streaming insert
https://cloud.google.com/blog/products/gcp/life-of-a-bigquery-streaming-insert

Bigquery ML : Kmeans
https://medium.com/@lakshmanok/how-to-use-k-means-clustering-in-bigquery-ml-to-understand-and-describe-your-data-better-c972c6f5733b

Bigquery ML with TF models
https://towardsdatascience.com/how-to-do-batch-predictions-of-tensorflow-models-directly-in-bigquery-ffa843ebdba6

Auto ML Tables
https://cloud.google.com/automl-tables/

Cloud Data Fusion
https://cloud.google.com/data-fusion/

Data catalog
https://cloud.google.com/data-catalog/

Document Understanding AI
https://cloud.google.com/solutions/document-understanding/

DAY 1 recap
https://cloud.google.com/blog/topics/inside-google-cloud/next19-recap-day1

DAY 2 recap
https://cloud.goo