Download Udemy - Realtime Analytics with Apache Pinot and Apache Flink torrent

Udemy - Realtime Analytics with Apache Pinot and Apache Flink

Torrent:	Udemy - Realtime Analytics with Apache Pinot and Apache Flink
Description:	Realtime Analytics with Apache Pinot and Apache Flink https://DevCourseWeb.com Published 2/2024 Created by Aditya S MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English \| Duration: 34 Lectures ( 2h 59m ) \| Size: 1.48 GB Understand how Realtime Analytics can be done for a Real Industry Use case With Apache Pinot and Apache Flink What you'll learn: Understand how Realtime analytics can be done for a Real World business case of Online Cab Service Company Understand how Apache Flink can be used for Realtime Data Processing Understand how you can Join across multiple streams in Apache Flink Learn how to Lookup data in Flink from external data stores Learn how to Use Apache Pinot to run Realtime Analytical Queries Learn how Realtime Upserts are possible in Apache Pinot Learn how Apache Kafka acts as the Connecting layer between the various components in a Realtime Analytics System Learn how to create Dashboards for Realtime data in Apache Superset Everything in this course is use case focussed so that you can directly Apply this to a Real Life project Requirements: Having prior Knowledge of Java and SQL is helpful but not Mandatory Everything is thought within the course itself, So no Prior background is needed
Downloads:	12
Category:	Other /Tutorials
Size:	1.5 GB
Show Files »	[ DevCourseWeb.com ] Udemy - Realtime Analytics with Apache Pinot and Apache Flink Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction 1. Course Introduction and Outcome.mp4 (8.4 MB) 2. What is Realtime Analytics and Why is it Needed.mp4 (15.4 MB) 3. Realtime Analytics Quiz.html (0.2 KB) 2. Practical Business Use Case 1. Realtime Analytics for an Online Cab Service Company.mp4 (15.2 MB) 2. Architecture and Data Model for Realtime Analytics.mp4 (25.8 MB) 3. Architecture Quiz.html (0.2 KB) 3. Data Ingestion with Apache Kafka 1. A Quick Introduction to Apache Kafka.mp4 (12.7 MB) 2. Course Resources.html (0.2 KB) 3. Helper for Different Operating Systems.html (1.2 KB) 4. Apache Kafka Setup Hands On.mp4 (77.2 MB) 5. Data Production and Consumption from Apache Kafka Hands On.mp4 (38.9 MB) 6. Kafka Quiz.html (0.2 KB) Resources 1_kafka_ingestion kafka_helper.txt (1.8 KB) 2_flink_code FlinkSQLExample.java (2.0 KB) RideEnrichApplication.java (8.0 KB) TableAPIExample.java (2.0 KB) main_logic.txt (0.7 KB) pom.xml (2.2 KB) 2_flink_setup flink_helper.txt (1.0 KB) flink_sql.txt (0.5 KB) 2_flink_table_data driver_data.txt (0.7 KB) jsons_example driver.json (0.1 KB) ride.json (0.3 KB) rider.json (0.1 KB) output_data.txt (0.1 KB) ride_data.txt (5.8 KB) rider_data (0.7 KB) 2_flink_tables table.txt (3.2 KB) 2_mysql mysql_helper.txt (0.9 KB) 3_pinot_setup pinot_helper.txt (1.1 KB) 4_pinot_ingestion rides_enriched_schema (1.7 KB) rides_enriched_table (2.6 KB) stream_ingestion.txt (0.6 KB) 5_pinot_queries queries.txt (2.2 KB) 6_dashboarding dashboard_queries (1.2 KB) superset-helper.txt (1.2 KB) 4. Realtime Data Processing with Apache Flink 1. Flink Basic Concepts.mp4 (36.2 MB) 10. Using Event Time Temporal Joins and Lookup Joins to Enrich Ride Data Hands On.mp4 (313.0 MB) 11. Running Flink on a Cluster Hands On.mp4 (119.8 MB) 12. Flink Quiz.html (0.2 KB) 2. Using the Table API to Read from Kafka Hands On.mp4 (103.5 MB) 3. Using Flink SQL to perform Transformations Hands On.mp4 (26.2 MB) 4. Checkpoints and Watermarks.mp4 (19.4 MB) 5. Flink Concepts Quiz.html (0.2 KB) 6. Regular Joins.mp4 (12.3 MB) 7. Temporal Joins.mp4 (27.9 MB) 8. Mysql Installation Links for Different Operating Systems.html (1.0 KB) 9. Setup MySQL for Location data Hands On.mp4 (29.1 MB) 5. Apache Pinot for Realtime Analytics 1. A Quick Introduction to Apache Pinot.mp4 (16.2 MB) 2. Apache Pinot Setup Hands On.mp4 (74.1 MB) 3. Pinot MacOS M1 & M2 Guideline.html (0.3 KB) 4. Realtime Ingestion in Apache Pinot Hands On.mp4 (51.7 MB) 5. Upserts in Pinot.mp4 (11.5 MB) 6. Realtime Upserts for Enriched Ride Data in Apache Pinot Hands On.mp4 (124.0 MB) 7. Running Realtime Analytics Queries in Pinot Data Explorer Hands On.mp4 (109.4 MB) 8. Querying Data through Pinot REST API.mp4 (22.3 MB) 9. Apache Pinot Quiz.html (0.2 KB) 6. Creating Dashboards with Apache Superset 1. A Quick Introduction to Apache Superset.mp4 (5.0 MB) 2. Setting up Apache Superset Hands On.mp4 (81.2 MB) 3. Guide for Different Operating Systems.html (0.9 KB) 4. Connecting Superset with Apache Pinot Hands On.mp4 (62.7 MB) 5. Creating Realtime Analytics Dashboards in Superset.mp4 (67.0 MB) 6. Superset Quiz.html (0.2 KB) 7. Summary 1. Congratulations.mp4 (3.1 MB) 8. Bonus Section 1. Bonus Lecture.mp4 (12.2 MB) Bonus Resources.txt (0.4 KB) files
Added:	2024-03-02 00:37:30
Language:	English
Peers:	Seeders : 6 , Leechers : 10
Tags:	Development Udemy
Release name:	Udemy - Realtime Analytics with Apache Pinot and Apache Flink
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