Chapter 2 of 6 · Google Cloud Digital Leader
Exploring Data Transformation with Google Cloud
Why data matters, data types, governance, Google Cloud data products, storage classes and analytics.
- 5topics
- 20 minfast track
- 3diagrams and exhibits
- 18%of the exam
Topics in this chapter
Take them in order, or jump to the one you need.
- 1"Why Data Matters: Value, Types and the Data Supply Chain"Why data drives transformation for Cloud Digital Leader: business value, first, second and third party data, structured and…4 min
- 2Databases, Warehouses, Lakes and Data GovernanceDatabases versus data warehouses versus data lakes, data governance and why openness and interoperability remove data silos, for…4 min
- 3Choosing a Google Cloud Data ProductMatch Cloud Storage, Cloud SQL, AlloyDB, Spanner, Bigtable, Firestore and BigQuery to business use cases, with relational, NoSQL…Diagram4 min
- 4Cloud Storage Classes and Database MigrationCloud Storage Standard, Nearline, Coldline, Archive and Autoclass by cost and access frequency, plus ways to migrate or modernize…Diagram4 min
- 5Analytics, Looker and Streaming DataHow Looker and BigQuery democratize data, why real-time streaming analytics matters, and what Pub/Sub, Dataflow and Managed…Diagram4 min
About this chapter
What this chapter covers
This section is about turning data into value, and it is worth about 18 percent of the exam. It covers the role data plays in digital transformation (why it is valuable, types of data, the data supply chain, governance and openness), which Google Cloud data management product fits which use case (Cloud Storage, Cloud SQL, AlloyDB, Spanner, Bigtable, Firestore, BigQuery, storage classes and database migration), and how analytics adds value (Looker, BigQuery, streaming with Pub/Sub, Dataflow and Managed Service for Apache Spark).
The exam does not test SQL or configuration. It tests whether you can match a business need to the right kind of data store or analytics product.
How the topics fit together
- Why data matters covers data value, data types and the data supply chain.
- Databases, warehouses, lakes and governance covers the three ways to store data, governance and avoiding silos.
- Choosing a Google Cloud data product covers which product fits which use case.
- Cloud Storage classes and database migration covers storage classes, Autoclass and moving databases.
- Analytics, Looker and streaming covers business intelligence and real-time pipelines.
Relational and transactional means Cloud SQL, AlloyDB or Spanner. Analytics across huge datasets means BigQuery. Files and objects mean Cloud Storage.
How to use these pages
Each topic page has the same shape, so you can skim for what you need.
- What it is: the idea in plain words.
- How it works: the mechanism, with examples and tables.
- What to remember for the exam: the facts to memorise and how questions are phrased.
- Common mistakes: the classic traps.
- Check yourself: three questions to test your understanding.
Ready for more practice?
The full Google Cloud Digital Leader question bank has 512 questions, with timed practice exams and an explanation for every answer.
This study guide is independent and is not affiliated with, endorsed by, or sponsored by Google Cloud. Vendor names, certification names and exam codes are trademarks of their respective owners and are used for identification only.