BigQuery for Big data engineers - Master Big Query Internals

A Complete deep knowledge BigQuery guide for Data engineers and Analysts. Hands-On Bigquery via Console, CLI, Python lib
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BigQuery for Big data engineers - Master Big Query Internals
22,012
students
9 hours
content
Aug 2024
last update
$84.99
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What you will learn

Learn Full In & Out of Google Cloud BigQuery with proper HANDS-ON examples from scratch.

Get an Overview of Google Cloud Platform and a brief introduction to the set of services it provides.

Start with Bigquery core concepts like understanding its Architecture, Dataset, Table, View, Materialized View, Schedule queries, Limitations & Quotas.

ADVANCE Big query topics like Query Execution plan, Efficient schema design, Optimization techniques, Partitioning, Clustering, etc.

Build Big data pipelines using various Google Cloud Platform services - Dataflow, Pub/Sub, BigQuery, Cloud storage, Beam, Data Studio, Cloud Composer/Airflow.

Learn to interact with Bigquery using Web Console, Command Line, Python Client Library etc.

Learn Best practices to follow in Real-Time Projects for Performance and Cost saving for every component of Big query.

Bigquery Pricing models for Storage, Querying, API requests, DMLs and free operations.

Data-sets and Queries used in lectures are available in resources tab. This will save your typing efforts.

Screenshots

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3563469
udemy ID
10/12/2020
course created date
12/4/2020
course indexed date
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