Reactive Kafka From Scratch
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9:26:38
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1. Introduction.mp4
04:14
2. Important Note for first time Data Engineering Customers.mp4
03:14
3. Important Note for Data Engineering Essentials (Python and Spark) Customers.mp4
03:09
4. How to get 30 days complementary lab access.mp4
02:48
1. Getting Started with Cloud9.mp4
02:50
2. Creating Cloud9 Environment.mp4
04:36
3. Warming up with Cloud9 IDE.mp4
03:19
4. Overview of EC2 related to Cloud9.mp4
01:31
5. Opening ports for Cloud9 Instance.mp4
03:12
6. Associating Elastic IPs to Cloud9 Instance.mp4
04:13
7. Increase EBS Volume Size of Cloud9 Instance.mp4
03:15
8. Setup Jupyter Lab on Cloud9.mp4
07:06
9. [Commands] Setup Jupyter Lab on Cloud9.html
1.1 Signing up for GCP.html
1. Signing up for GCP.mp4
03:25
2.1 Understanding GCP Web Console.html
2. Overview of GCP Web Console.mp4
02:01
3.1 Overview of GCP Pricing.html
3. Overview of GCP Pricing.mp4
06:10
4.1 Provision Ubuntu 18.04 Virtual Machine.html
4. Provision Ubuntu VM from GCP.mp4
07:41
5.1 Setup Docker.html
5. Setup Docker.mp4
08:16
6.1 Validating Python.html
6. Validating Python.mp4
04:05
7.1 Setup Jupyter Lab.html
7. Setup Jupyter Lab.mp4
10:29
8. Setup Jupyter Lab locally on Mac.mp4
05:59
1. Introduction to Single Node Hadoop Cluster.mp4
02:45
2. Setup Prerequisites.mp4
04:55
3. Setup Password less login.mp4
03:36
4. Download and Install Hadoop.mp4
04:14
5. Configure Hadoop HDFS.mp4
06:50
6. Start and Validate HDFS.mp4
05:59
7. Configure Hadoop YARN.mp4
01:19
8. Start and Validate YARN.mp4
02:03
9. Managing Single Node Hadoop.mp4
03:49
1. Setup Data Sets for Practice.mp4
05:02
2. Download and Install Hive.mp4
02:17
3. Setup Database for Hive Metastore.mp4
07:13
4. Configure and Setup Hive Metastore.mp4
07:10
5. Launch and Validate Hive.mp4
04:57
6. Scripts to Manage Single Node Cluster.mp4
04:40
7. Download and Install Spark 2.mp4
03:28
8. Configure Spark 2.mp4
09:02
9. Validate Spark 2 using CLIs.mp4
08:23
10. Validate Jupyter Lab Setup.mp4
09:45
11. Integrate Spark 2 with Jupyter Lab.mp4
06:08
12. Download and Install Spark 3.mp4
01:55
13. Configure Spark 3.mp4
06:46
14. Validate Spark 3 using CLIs.mp4
07:54
15. Integrate Spark 3 with Jupyter Lab.mp4
04:19
1. Download and Install Kafka.mp4
05:03
2. Configure and Start Zookeeper.mp4
03:28
3. Configure and Start Kafka Broker.mp4
05:12
4. Scripts to manage single node cluster.mp4
05:00
5. Overview of Kafka CLI.mp4
08:40
6. Setup Retail log Generator.mp4
03:58
7. Redirecting logs to Kafka.mp4
05:34
1. Overview of Kafka.mp4
06:12
2. Managing Topics using Kafka CLI.mp4
07:07
3. Produce and Consume Messages using CLI.mp4
04:45
4. Validate Generation of Web Server Logs.mp4
02:29
5. Create Web Server using nc.mp4
03:21
6. Produce retail logs to Kafka Topic.mp4
02:24
7. Consume retail logs from Kafka Topic.mp4
01:46
8. Clean up Kafka CLI Sessions to produce and consume messages.mp4
01:28
9. Define Kafka Connect to produce.mp4
08:08
10. Validate Kafka Connect to produce.mp4
07:46
1. Overview of Kafka Connect.mp4
01:33
2. Define Kafka Connect to Produce Messages.mp4
09:12
3. Validate Kafka Connect to produce messages.mp4
07:55
4. Cleanup Kafka Connect to produce messages.mp4
02:45
5. Write Data to HDFS using Kafka Connect.mp4
01:24
6. Setup HDFS 3 Sink Connector Plugin.mp4
07:36
7. Overview of Kafka Consumer Groups.mp4
08:00
8. Configure HDFS 3 Sink Properties.mp4
06:52
9. Run and Validate HDFS 3 Sink.mp4
07:13
10. Cleanup Kafka Connect to consume messages.mp4
03:50
1. Understanding Streaming Context.mp4
05:25
2. Validate Log Data for Streaming.mp4
01:56
3. Push log messages to Netcat Webserver.mp4
04:37
4. Overview of built-in Input Sources.mp4
02:09
5. Reading Web Server logs using Spark Structured Streaming.mp4
12:33
6. Overview of Output Modes.mp4
01:18
7. Using append as Output Mode.mp4
08:21
8. Using complete as Output Mode.mp4
07:34
9. Using update as Output Mode.mp4
04:30
10. Overview of Triggers in Spark Structured Streaming.mp4
05:39
11. Overview of built-in Output Sinks.mp4
02:32
12. Previewing the Streaming Data.mp4
07:37
1. Create Kafka Topic.mp4
03:09
2. Read Data from Kafka Topic.mp4
05:32
3. Preview data using console.mp4
05:18
4. Preview data using memory.mp4
03:23
5. Transform Data using Spark APIs.mp4
09:26
6. Write Data to HDFS using Spark.mp4
07:57
7. Validate Data in HDFS using Spark.mp4
07:12
8. Write Data to HDFS using Spark using Header.mp4
07:06
9. Cleanup Kafka Connect and Files in HDFS.mp4
03:01
1. Overview of Spark Structured Streaming Triggers.mp4
01:36
2. Steps for Incremental Data Processing.mp4
03:16
3. Create Working Directory in HDFS.mp4
03:21
4. Logic to Upload GHArchive Files.mp4
12:22
5. Upload GHArchive Files to HDFS.mp4
12:58
6. Add new GHActivity JSON Files.mp4
03:40
7. Read JSON Data using Spark Structured streaming.mp4
06:11
8. Write in Parquet File Format.mp4
01:53
9. Analyze GHArchive Data in Parquet files using Spark.mp4
07:52
10. Add New GHActivity JSON files.mp4
01:36
11. Load Data Incrementally to Target Table.mp4
07:39
12. Validate Incremental Load.mp4
02:56
13. Add New GHActivity JSON files.mp4
01:12
14. Using maxFilerPerTrigger and latestFirst.mp4
10:42
15. Validate Incremental Load.mp4
03:30
16. Add New GHActivity JSON files.mp4
01:29
17. Incremental Load using Archival Process.mp4
10:18
18. Validate Incremental Load.mp4
03:09
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- language english
- Training sessions 110
- duration 9:26:38
- English subtitles has
- Release Date 2023/05/29
