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Data Warehousing with Google BigQuery: Storage Design, Query Optimization, and Administration

  • Kursuskode GO9096
  • Varighed 3 dage

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Kurset er tilgængeligt i følgende formater:

  • Firma kursus

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  • Åbent kursus

    Traditionel klasserumsundervisning

  • Åbent kursus (Virtuelt)

    Live klasserumsundervisning du tilgår virtuelt

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Beskrivelse

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In this course, you learn about the internals of BigQuery and best practices for designing, optimizing, and administering your data warehouse. Through a combination of lectures, demos, and labs, you learn about BigQuery architecture and how to design optimal storage and schemas for data ingestion and changes. Next, you learn techniques to improve read performance, optimize queries, manage workloads, and use logging and monitoring tools. You also learn about the different pricing models. Finally, you learn various methods to secure data, automate workloads, and build machine learning models with BigQuery ML.

Virtual Learning

This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

Kursusdato

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Målgruppe

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Data analysts, data scientists, data engineers, and developers who perform work on a scale that requires advanced BigQuery internals knowledge to optimize performance.

Kursets formål

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  • Describe BigQuery architecture fundamentals.
  • Implement storage and schema design patterns to improve performance
  • Use DML and schedule data transfers to ingest data.
  • Apply best practices to improve read efficiency and optimize query performance.
  • Manage capacity and automate workloads.
  • Understand patterns versus anti-patterns to optimize queries and improve read performance.
  • Use logging and monitoring tools to understand and optimize usage patterns.
  • Apply security best practices to govern data and resources.
  • Build and deploy several categories of machine learning models with BigQuery ML.

Kursusindhold

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  • BigQuery Architecture Fundamentals
  • Storage and Schema Optimizations
  • Ingesting Data
  • Changing Data
  • Improving Read Performance
  • Optimizing and Troubleshooting Queries
  • Workload Management and Pricing
  • Logging and Monitoring
  • Security in BigQuery
  • Automating Workloads
  • Machine Learning in BigQuery

Forudsætninger

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  • Big Data and Machine Learning Fundamentals
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