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[ DevCourseWeb ] Udemy - BigQuery for Big data engineers - Master Big Query Internals

Torrent: [ DevCourseWeb ] Udemy - BigQuery for Big data engineers - Master Big Query Internals
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[ DevCourseWeb.com ] Udemy - BigQuery for Big data engineers - Master Big Query Internals

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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 93 lectures (7h 46m) | Size: 1.46 GB
A Complete & deep knowledge BigQuery guide for Data engineers & Analysts; Hands-On Bigquery via UI, CLI, Python library
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, BigQuery, Cloud storage, Beam, Data Studio, Cloud Composer 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.

Requirements
Basic knowledge of SQL

Description
Note : 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 Big query concepts/Internals.

**Coming Soon** - Advance BigQuery GIS functions, Streaming Pipeline in GCP

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Category: Other/Tutorials
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Added: 2020-12-16 11:06:34
Language: English
Peers: Seeders : 3 , Leechers : 7
Release name: [ DevCourseWeb ] Udemy - BigQuery for Big data engineers - Master Big Query Internals
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