

Video Training → Udemy - The Complete Hands-On Introduction to Apache Airflow (Updated 10.2021)
Published by: voska89 on 17-11-2021, 17:55 |
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.62 GB | Duration: 6h 5m
Learn to author, schedule and monitor data pipelines through practical examples using Apache Airflow
Video Training → Manning - Processing Covid-19 Data With Apache Spark
Published by: Minhchick on 11-11-2021, 07:28 |
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Manning - Processing Covid-19 Data With Apache Spark-iLLiTERATE
English | Size: 5.23 GB
Category: Tutorial
Video Training → Udemy - Apache Web Server - not just learn, Master it (Updated 10.2021)
Published by: voska89 on 5-11-2021, 21:45 |
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 77 lectures (7h 54m) | Size: 2.64 GB
WebSites hosting, Security, Modules, Directives, LAMP, Vulnerability fixing, Nagios CGI, Apache on RockyLinux 8, HT
Video Training → Udemy - Twitter + Apache Hadoop Eco System On AWS Cloud + GCP Cloud
Published by: voska89 on 26-10-2021, 19:58 |
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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 2.64 GB | Duration: 6h 20m
Student Also Learn Basics Of AWS And GCP Cloud In That Course Apache Hadoop Sqoop Pig Hive Flume MultiNode
Video Training → Udemy - Apache Spark for Data Engineers
Published by: voska89 on 26-10-2021, 19:26 |
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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 924 MB | Duration: 2h 56m
Data Storage, Integration, Processing and everything in between a data egineer need to know.
Video Training → Udemy - Apache Cassandra for Data Engineers
Published by: voska89 on 3-10-2021, 17:18 |
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 30 lectures (1h 36m) | Size: 368.6 MB
Learn everything about Apache Cassandra a modern NoSQL database management system
Video Training → PacktPub - Apache Spark 3 for Data Engineering and Analytics with Python
Published by: Minhchick on 2-10-2021, 05:02 |
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PacktPub - Apache Spark 3 for Data Engineering and Analytics with Python
English | Size: 2.16 GB
Category: Tutorial
Apache Spark 3 is an open-source distributed engine for querying and processing data.
Video Training → Udemy - Apache Web Server - not just learn, Master it
Published by: voska89 on 22-09-2021, 03:35 |
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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.35 GB | Duration: 6h 26m
WebSites hosting, Security, Modules, Directives, LAMP, Vulnerability fixing, Nagios CGI, Apache on RockyLinux 8, HTTPS
Video Training → Packt - Apache Spark 3 for Data Engineering and Analytics with Python
Published by: Minhchick on 18-09-2021, 20:24 |
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Packt - Apache Spark 3 for Data Engineering and Analytics with Python-XQZT
English | Size: 4.91 GB
Category: Tutorial
Master Python and PySpark 3.0.1 for Data Engineering / Analytics (Databricks)
Video Training → Linkedin - Apache Spark Essential Training Big Data Engineering (2021)
Published by: voska89 on 16-09-2021, 14:13 |
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 1h 2m | Size: 156.8 MB
Data engineering is the foundation for building analytics and data science applications in the new Big Data world. Data engineering requires combining multiple big data technologies to construct data pipelines and networks to stream, process, and store data. This course focuses on building full-fledged solutions that combine Apache Spark with other Big Data tools to create end-to-end data pipelines. Instructor Kumaran Ponnambalam begins by defining data engineering, its functions, and its concepts. Next, Kumaran goes over how Spark capabilities such as parallel processing, execution plans, state management options, and machine learning work with extract, transform, load (ETL). He introduces you to batch processing use cases and processes, as well as real-time processing pipelines. After walking you through several useful best practices, Kumaran concludes with an end-to-end exercise project.


