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
4.50 (3352 reviews)
22 945
students
9 hours
content
Aug 2024
last update
$84.99
regular price
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.
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Our Verdict
Given the course's concentration on Google Cloud BigQuery, as a learner, I found an extensive array of features explained and demonstrated through practical examples. The hands-on approach catered to real-life applications using Console, CLI, and Python lib, and while some portions became slightly dated, they were easy to search for updates online. Though the strong accent could pose comprehension issues, it did not diminish the value of engaging delivery and comprehensive content geared towards beginners with SQL knowledge. However, a few typos, mistranslations, and fast-paced explantions on complex topics warrant vigilance from learners.
What We Liked
- Comprehensive coverage of BigQuery, including advanced features and best practices
- Hands-on approach with real-life examples, using Console, CLI, and Python lib
- Engaging delivery and suitable for beginners with some SQL knowledge
- Deep exploration of data engineering in GCP ecosystem
Potential Drawbacks
- Some outdated UI and functions that can be quickly resolved by a Google search
- Strong accent may affect comprehension for non-native English speakers
- Small number of typos and mistranslations in the subtitles
- Occasionally fast explanation on relatively complicated topics
3563469
udemy ID
12/10/2020
course created date
04/12/2020
course indexed date
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