Learn what the cloud is made up of: servers, network, storage, security, solutions, support.

Cloud benefits for data storage: sheer capacity, availability, security and options.

A broad overview of the benefits of adopting digital technology for an organization.

This lecture gives an overview of this section, which focuses on fundamental concepts related to cloud and digital transformation, and gives a contrast between old and new ways of working.

This lecture briefly explains "on-premise", the name used to describe the old way of doing things, and provides a comparison with the cloud.

This lecture gives an example showing the differences between using on-premises services vs cloud, and shows the negative aspects of using on-premises services.

This lecture continues the above example, though now highlighting the positive aspects of shifting to cloud-based services.

This lecture explains that there are 3 primary categories in the Software as a service (SaaS) model, and explains the first of them, Infrastructure as a service (IaaS), while listing some of its benefits.

This lecture explains the second category, Platform as a service (PaaS), and lists some of its benefits.

This lecture explains the third category, Software as a service (SaaS), and lists some of its benefits.

This lecture lists some of ways that going digital benefits end users, and explains the first of these: flexibility.

This lecture explains the 2 other benefits to customers of going digital: that it is instant, and always-on.

This lecture explains the fourth benefit of going digital, for end users: extra toppings, examples of which include gamification and loyalty programs.

This lecture explains the fifth benefit, for customers, of going digital: that the service is available everywhere.

This lecture discusses the sixth and final benefit of going digital for end users, which is that new is always better.

This lecture discusses how cloud enables organizations to provide all of the above benefits to end users.

This lecture lists and discusses certain important points about cloud adoption, in order to avoid surprises, including potential failures, down the road. It further emphasizes that having a good cloud services partner can help a great deal.

Welcome to the second part of the course!

This lecture gives an overview of the topics covered in this part of the course, which is specifically about innovating with data and the Google Cloud Platform.

This lecture discusses reasons why cloud services are superior at dealing with an organization's data.

This lecture discusses reasons why it it important to go through the process of data cleansing, to ensure that the data is actually helpful.

This lecture discusses why organizations need to be very careful with what they do with their data, emphasizing a responsibility first approach.

This lecture contrasts two different types of data, and then explains the features of the first type, structured data:

• it uses defined formats, such as character, number, or date fields

• relationships are formed between data

• it is stored in relational database management system, like Microsoft SQL Server, or Oracle

• it uses a defined storage type, such as a database

• it is usually text

• it is easily searched

  
  

This lecture explains the features of unstructured data:

• it uses many different formats, not just numbers, characters, dates etc.

• it is non-relational

• it does not use the SQL language

• it uses what is known as "blob storage"

• it can be in any format, not necessarily a text-life format (eg. video and audio)

• it is harder to search

This lecture gives examples of systems that use structured data:

• spreadsheets

• CRMs

• accounting software

• systems used by airlines

• ecommerce platforms

• security systems,

and describes how a system can make use of both structured and unstructured data at the same time.

This lecture gives examples of the following types of unstructured data:

• emails

• text messaging

• social media

• multimedia

• weather data

This lecture lists three methods for storing strucutred and unstructured data:

• a database - structured data stored in such a way as to establish relationships with other structured data, and used in an RDBMS

• a data lake - unstructured data housed in blob or raw format, and used by disparate systems with no intentional relationships forming

• a data warehouse - a collection of unrelated databases, stored in a single RDBMS, for business reporting and analytics

  
  

This lectures describes the following GCP tools for dealing with data:

• Cloud Storage

• Cloud SQL

• Cloud Spanner

• Big Query

• Looker