Data Management and Storage in the Cloud | Google Cloud Data Analytics Certificate

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[Course 2 of 5, Google Cloud Data Analytics Certificate] Hi again! Get cozy with key components of data governance, normalized and star schemas, data catalogs, as we unveil the data lakehouse architecture.

To earn this Google Cloud Certificate with a digital credential you can share, hop on over Google Cloud Skills Boost to complete the hands-on labs (available on desktop/laptop only) and graded assessments. There is a monthly subscription cost of $29 USD/month to earn the certificate on Google Cloud Skills Boost. https://goo.gle/49Lcqn4

Jump directly to the topics you want to learn:
00:00 Introduction to Course 2
03:10 Eric: Data analytics skills translate across industries and roles
02:20 Welcome to module 1
05:21 Data storage and connections
10:10 Gerrit: Experience with a variety of tools can help you as an analyst
13:22 Common ways to store data
16:13 Structured, unstructured, and semi-structured data
20:52 Example of a data lakehouse
25:13 Aspects of table schema
29:31 Introduction to nested data structure
34:00 Overview of data processing methods
38:27 Module 1 Wrap-up

39:18 Welcome to module 2
40:09 Denormalized data
42:19 Data governance for effective data management
42:19 MK: Risk management in a cloud-first world
49:58 Introduction to master data management
54:09 Introduction to data catalogs
58:54 Technical and business metadata
1:01:49 Overview of data lakehouse architecture
1:06:57 Components of data lakehouse architecture
1:11:34 Module 2 Wrap-up

1:12:21 Welcome to module 3
1:13:36 Ryan: Curiosity can help you understand and connect data
1:16:58 Data lineage and traceability
1:20:13 Introduction to Analytics Hub
1:25:30 Data discovery, curation, and unification
1:29:10 Benefits of using Dataplex
1:32:44 Module 3 Wrap-up

1:33:23 Welcome to module 4
1:34:42 Methods for defining BigQuery table schemas
1:39:43 Basic SQL commands for querying data
1:44:32 Steps and models for accessing data with machine learning
1:50:56 Introduction to machine learning with Vertex AI and BigQuery
1:56:10 Overview of Google Colab
2:02:15 Essentials of database partitioning
2:07:19 Methods for partitioning tables
2:13:28 Strategies for querying partitioned tables
2:17:43 Key processes and benefits of Dataproc
2:21:34 Module 4 Wrap-up
2:22:20 Vince and George: Interview role play
2:27:23 Course wrap-up

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#cloudcomputing
#googlecloudcertificate
#googlecloudlearning