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Produktbild: Official Google Cloud Certified Professional Data Engineer Study Guide
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Official Google Cloud Certified Professional Data Engineer Study Guide

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Beschreibung

Produktdetails

ISBN

978-1-119-61843-0

Auflage

1. Auflage

Erscheinungsdatum

10.06.2020

Einband

Taschenbuch

Verlag

John Wiley & Sons

Seitenzahl

352

Maße (L/B/H)

23,4/18,9/2,2 cm

Gewicht

656 g

Sprache

Englisch

Beschreibung

Produktdetails

ISBN

978-1-119-61843-0

Auflage

1. Auflage

Erscheinungsdatum

10.06.2020

Einband

Taschenbuch

Verlag

John Wiley & Sons

Seitenzahl

352

Maße (L/B/H)

23,4/18,9/2,2 cm

Gewicht

656 g

Sprache

Englisch

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Official Google Cloud Certified Professional Data Engineer Study Guide
  • Introduction xxiii
     
    Assessment Test xxix
     
    Chapter 1 Selecting Appropriate Storage Technologies 1
     
    From Business Requirements to Storage Systems 2
     
    Ingest 3
     
    Store 5
     
    Process and Analyze 6
     
    Explore and Visualize 8
     
    Technical Aspects of Data: Volume, Velocity, Variation, Access, and Security 8
     
    Volume 8
     
    Velocity 9
     
    Variation in Structure 10
     
    Data Access Patterns 11
     
    Security Requirements 12
     
    Types of Structure: Structured, Semi-Structured, and Unstructured 12
     
    Structured: Transactional vs. Analytical 13
     
    Semi-Structured: Fully Indexed vs. Row Key Access 13
     
    Unstructured Data 15
     
    Google's Storage Decision Tree 16
     
    Schema Design Considerations 16
     
    Relational Database Design 17
     
    NoSQL Database Design 20
     
    Exam Essentials 23
     
    Review Questions 24
     
    Chapter 2 Building and Operationalizing Storage Systems 29
     
    Cloud SQL 30
     
    Configuring Cloud SQL 31
     
    Improving Read Performance with Read Replicas 33
     
    Importing and Exporting Data 33
     
    Cloud Spanner 34
     
    Configuring Cloud Spanner 34
     
    Replication in Cloud Spanner 35
     
    Database Design Considerations 36
     
    Importing and Exporting Data 36
     
    Cloud Bigtable 37
     
    Configuring Bigtable 37
     
    Database Design Considerations 38
     
    Importing and Exporting 39
     
    Cloud Firestore 39
     
    Cloud Firestore Data Model 40
     
    Indexing and Querying 41
     
    Importing and Exporting 42
     
    BigQuery 42
     
    BigQuery Datasets 43
     
    Loading and Exporting Data 44
     
    Clustering, Partitioning, and Sharding Tables 45
     
    Streaming Inserts 46
     
    Monitoring and Logging in BigQuery 46
     
    BigQuery Cost Considerations 47
     
    Tips for Optimizing BigQuery 47
     
    Cloud Memorystore 48
     
    Cloud Storage 50
     
    Organizing Objects in a Namespace 50
     
    Storage Tiers 51
     
    Cloud Storage Use Cases 52
     
    Data Retention and Lifecycle Management 52
     
    Unmanaged Databases 53
     
    Exam Essentials 54
     
    Review Questions 56
     
    Chapter 3 Designing Data Pipelines 61
     
    Overview of Data Pipelines 62
     
    Data Pipeline Stages 63
     
    Types of Data Pipelines 66
     
    GCP Pipeline Components 73
     
    Cloud Pub/Sub 74
     
    Cloud Dataflow 76
     
    Cloud Dataproc 79
     
    Cloud Composer 82
     
    Migrating Hadoop and Spark to GCP 82
     
    Exam Essentials 83
     
    Review Questions 86
     
    Chapter 4 Designing a Data Processing Solution 89
     
    Designing Infrastructure 90
     
    Choosing Infrastructure 90
     
    Availability, Reliability, and Scalability of Infrastructure 93
     
    Hybrid Cloud and Edge Computing 96
     
    Designing for Distributed Processing 98
     
    Distributed Processing: Messaging 98
     
    Distributed Processing: Services 101
     
    Migrating a Data Warehouse 102
     
    Assessing the Current State of a Data Warehouse 102
     
    Designing the Future State of a Data Warehouse 103
     
    Migrating Data, Jobs, and Access Controls 104
     
    Validating the Data Warehouse 105
     
    Exam Essentials 105
     
    Review Questions 107
     
    Chapter 5 Building and Operationalizing Processing Infrastructure 111
     
    Provisioning and Adjusting Processing Resources 112
     
    Provisioning and Adjusting Compute Engine 113
     
    Provisioning and Adjusting Kubernetes Engine 118
     
    Provisioning and Adjusting Cloud Bi