| 1. Creating AWS Glue crawlers for s3.mp4 | 146.7 MB | ||
| 1. Project Background and Use case.mp4 | 25.5 MB | ||
| 1. Setting up apache spark consumer from kafka.mp4 | 135.3 MB | ||
| 1. System architecture.mp4 | 83.1 MB | ||
| 1. Writing the base code for IOT data production.mp4 | 135.2 MB | ||
| 2. Creating schema for the spark streams.mp4 | 111.7 MB | ||
| 2. Creating the Project.mp4 | 39.9 MB | ||
| 2. Generating vehicle location.mp4 | 144.6 MB | ||
| 2. Querying data with AWS Athena.mp4 | 45.4 MB | ||
| 2. Setting up Docker on your Computer.mp4 | 32.1 MB | ||
| 3. Connecting schema to spark streams.mp4 | 99.7 MB | ||
| 3. Creating Redshift cluster.mp4 | 65.5 MB | ||
| 3. Generating GPS data.mp4 | 38.3 MB | ||
| 3. Setting up zookeeper and apache Kafka on docker.mp4 | 114.5 MB | ||
| 4. Generating Camera Information.mp4 | 42.6 MB | ||
| 4. Loading and querying Redshift.mp4 | 108.9 MB | ||
| 4. Setting up Apache Spark master worker architecture.mp4 | 97.3 MB | ||
| 4. Streaming data to s3 lakehouse.mp4 | 247.6 MB | ||
| 5. Generating Weather data.mp4 | 76.3 MB | ||
| 6. Generating emergency incidence data.mp4 | 55.3 MB | ||
| 7. Producing IOT data to apache kafka.mp4 | 158.2 MB | ||
| 8. Setting up and AWS secret key and access key.mp4 | 64.5 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 24 total files | |||
Building a Realtime Streaming System for a Smart City
https://DevCourseWeb.com
Published 4/2024
Created by Ganiyu Yusuf
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 22 Lectures ( 2h 27m ) | Size: 2 GB
Master Real-Time Data Engineering: Build a Smart City End to End Streaming Pipeline with Kafka, Spark, AWS & Docker
What you'll learn:
Participants will gain a thorough understanding of data engineering concepts, including data ingestion, processing, storage, and visualization.
Through practical nstrations and coding exercises, participants will gain hands-on experience with a variety of industry-standard tools and technologies
By following along with the project setup, coding, and deployment process, participants will acquire the skills needed to build and deploy real-world solutions
Participants will encounter challenges and learn how to troubleshoot common issues that arise during the development and deployment of a data streaming pipeline
Participants will be well-equipped to pursue career opportunities in data engineering, IoT, cloud computing, and related fields.
Requirements:
Basic Python programming experience
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