Business Intelligence - Data Lifecycle in the Public Cloud

In this video we talk about the data lifecycle in the public cloud. There is a vast number of options for your business intelligence needs in the public cloud, if there are some specifics that you would like to explore in more details please leave us questions in comments below and sign up for our Office Hours using our appointment link - https://calendar.google.com/calendar/selfsched?sstoken=UURWU0JZSUVTMnFFfGRlZmF1bHR8YTcxODI2M2M0N2QwMDM5YzUxNjg3MDg5NmVmYzEyZTI Contact us if you need more information by filling out the form on this link https://sites.google.com/a/miadria.com/you-tube/. 0:00 Introduction 0:29 When the applications of the public cloud can be the most powerful and bring most benefits 0:35 Business intelligence data lifecycle in the public cloud 0:52 4 stages in data lifecycle 1:30 Data ingestion into the public cloud 2:38 ie ingesting data from local storage 3:10 Services for ingestion cover messaging for lot applications, uploading date and send data via appliances 3:39 Data storage 4:26 You can store your data in BigTable (no-SQL). in Sequel (SQL) databases as objects in cloud storage, or go for BigQuery 5:22 Process & analyze data 6:42 Apache Beam, Hadoop implementations Lambda functions 7:36 You can connect Google Sheets with BigQuery Warehouse 8:08 For building a dashboard, you can use Data Studio 8:28 You can use Datalab 8:46 Google Cloud Platform 10:41 Save your money and get meaningful results from your data without huge inwestment of resources 11:36 Use public cloud to do things you can not do on-prem 12:54 We will have the demo Data prep service on GCP 13:03 Book your Office Hours with us on Friday and contact us for more information