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
Product Brand: Udemy
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BigQuery for Big data engineers – Master Big Query Internals Coupon. A Complete & deep knowledge BigQuery guide for Data engineers & Analysts; Hands-On Bigquery via Console, CLI, Python lib
Created by J Garg – Real Time Learning | 9 hours on-demand video course | 34 downloadable resources
BigQuery for Big data engineers – Master Big Query Internals
BigQuery for Big data engineers – Master Big Query Internals Course. [Updated 2024] – This course is updated as per latest BigQuery UI and features. This Bigquery course is NOT intended to teach SQL or PostgreSQL. The focus of the course is kept to give you In-depth knowledge of Google Bigquery concepts/Internals.
“BigQuery is server-less, highly scalable, and cost-effective Data warehouse designed for Google cloud Platform (GCP) to store and query petabytes of data.” After completing this course, you can start working on any BigQuery project with full confidence.
What you’ll 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 etc.
- Learn to interact with Bigquery using Web UI, 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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Who this course is for
- Students who want to learn Deep Internals of BigQuery components.
- Data engineers, intending to build end-to-end Data pipelines in GCP (Google Cloud Platform)
- Anyone planning to give Google Cloud Data engineer certification.