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Lesson 9 Big Data Movement and Storage/003. 9.2 Use HBase with Python.mp4 126.7 MB
Lesson 7 Working with the Kafka Message Broker/003. 7.2 Implement basic Kafka usage modes.mp4 103.7 MB
Lesson 7 Working with the Kafka Message Broker/002. 7.1 Understand Kafka topics, brokers, and partitions.mp4 90.3 MB
Lesson 7 Working with the Kafka Message Broker/004. 7.3 Use Kafka producers and consumers with Python.mp4 78.2 MB
Lesson 7 Working with the Kafka Message Broker/001. Learning objectives.mp4 3.8 MB
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Files: 5 Total size: 988.7 MB Total requests: 154 Last access time: 13 hours, 10 minutes

[ DevCourseWeb.com ] Udemy - Big Data Crash Course Learn Hadoop, Spark, NiFi and Kafka.zip 3.6 GB
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Files: 1 Total size: 3.6 GB Total requests: 67 Last access time: 37 minutes

[ FreeCourseWeb.com ] Udemy - Apache NiFi - Admin Guide - Clustering and Management.zip 2.1 GB
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Files: 1 Total size: 2.1 GB Total requests: 299 Last access time: 1 week, 1 day

1. NiFi Cluster Overview and Setup/3. Installing 3 Servers NiFi Cluster on Linux Prod Environment.mp4 465.5 MB
3. Using NiFi Toolkit/1. Configuring SSL Using NiFi Toolkit and Running NiFi on HTTPS.srt 36.8 KB
2. NiFi Load Balancing/1. NiFi Load Balancing Strategies.srt 17.4 KB
[TGx]Downloaded from torrentgalaxy.to.txt 585 bytes
3. Using NiFi Toolkit/1.1 Apache NiFi Toolkit Docs.html 123 bytes
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Files: 5 Total size: 2.1 GB Total requests: 264 Last access time: 13 hours, 53 minutes

~Get Your Files Here !/01 - Introduction/01 - Data management with Apache NiFi.mp4 6.1 MB
~Get Your Files Here !/02 - 1. Getting Started with Apache NiFi/01 - Prerequisites.mp4 1.1 MB
~Get Your Files Here !/01 - Introduction/01 - Data management with Apache NiFi.srt 6.4 KB
~Get Your Files Here !/02 - 1. Getting Started with Apache NiFi/01 - Prerequisites.srt 1.4 KB
Get Bonus Downloads Here.url 183 bytes
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Files: 5 Total size: 340.0 MB Total requests: 158 Last access time: 3 days, 5 hours

[ FreeCourseWeb.com ] Udemy - Apache NiFi.zip 1 year, 9 months

Files: 1 Total size: 2.7 GB Total requests: 267 Last access time: 12 hours, 32 minutes