Big Data For Architects
Build Big Data Pipelines and Compare Key Big Data Technologies
Updated on Jul, 2024
Language - English
Big Data,Big Data & Analytics,Development
Lectures -61
Duration -7.5 hours
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Course Description
- 2 hours of Instructor Time (1 on 1 basis) to ensure that your questions are clarified
- 7 hours+ Video Content
- Always up to date content
- Technical Slack Support for quick query resolution
- Gain Holistic Picture of Big Data Ecosystem
- Experience Classroom like environment via White-boarding sessions
- Understand Big Data Architectures and Pipelines
- Build End to End Big Data Batch and Streaming Pipelines
- Understand which Big Data Technology to choose when?
- Perform hands-on on Google Cloud DataProc Pseudo Distributed (Single Node) Environment
- Get Ongoing Course Support on Course Forum (forum.datacouch.io) for ensuring your successful course completion
- Delivered by Bhavuk Chawla who has trained 5000+ participants in in-person trainings
Prerequisites
- Knowledge equivalent to our Big Data Crash Course
- Credit card for setting up GCP account (no charges will be deducted if using GCP trial version). You can perform all exercises of this course without incurring charges. Please refer to the “GCP Account Best Practices” Section for more details.
Curriculum
Check out the detailed breakdown of what’s inside the course
Overview
4 Lectures
-
Course Structure and Approach
01:58
01:58
-
Course Pre-requisites
02:09
02:09
-
Course Audience
01:50
01:50
-
About me
02:34
02:34
Environment Setup
3 Lectures
Holistic View, Architectures and Pipelines
7 Lectures
Key Ingestion/DataFlow Frameworks
4 Lectures
Key Storage Frameworks
5 Lectures
Data formats
8 Lectures
Key Data Processing Frameworks
9 Lectures
Key Data Analysis Frameworks
12 Lectures
Delta Lake
4 Lectures
Bonus
4 Lectures
Epilogue
1 Lectures
Instructor Details
DataCouch
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