| Both sides previous revision
Previous revision
Next revision
|
Previous revision
Next revision
Both sides next revision
|
start [2019/12/03 13:51]
deadline added note about new courses |
start [2020/01/03 17:22]
deadline link updates |
| =====Welcome to Scalable Analytics with Apache Hadoop and Spark===== | =====Welcome to Effective Data Pipelines Series ===== |
| | (previously Scalable Analytics with Apache Hadoop and Spark) |
| |
| **(The four essential courses on the path to | **(The six essential courses on the path to |
| scalable data science nirvana--or at least a good start)** | scalable data science pipelines nirvana--or at least a good start)** |
| |
| ====Course Descriptions and Links==== | ====Course Descriptions and Links==== |
| and Data Engineering). | and Data Engineering). |
| |
| | 1 | [[https://www.safaribooksonline.com/search/?query=Apache%20Hadoop%2C%20Spark%20and%20Big%20Data%20Foundations&field=title|Apache Hadoop, Spark and Big Data Foundations]] - A great introduction to the Hadoop Big Data Ecosystem. A non-programming introduction to Hadoop, Spark, HDFS, and MapReduce. (3 hours-1 day)|{{wiki:foundations-course.png}}| | | 1 | [[https://www.oreilly.com/search/?query=Apache%20Hadoop%2C%20Spark%2C%20and%20Kafka%20Foundations%3A%20Effective%20Data%20Pipelines&extended_publisher_data=true&highlight=true&include_assessments=false&include_case_studies=true&include_courses=true&include_orioles=true&include_playlists=true&include_collections=true&include_notebooks=true&is_academic_institution_account=false&source=user&formats=live%20online%20training&sort=relevance&facet_json=true&page=0|Apache Hadoop, Spark, and Kafka Foundations: Effective Data Pipelines]] - A great introduction to the Hadoop Big Data Ecosystem with Spark and Kafka. A non-programming introduction to Hadoop, Spark, HDFS, MapReduce, and Kafka. (3 hours-1 day)|{{wiki:foundations-course.png}}| |
| | 2 |[[https://www.oreilly.com/search/?query=Practical%20Linux%20Command%20Line%20for%20Data%20Engineers%20and%20Analysts%20Eadline| Practical Linux Command Line for Data Engineers and Analysts]] - Quickly learn the essentials of using the Linux command line on Hadoop/Spark clusters. Move files, run applications, write scripts and navigate the Linux command line interface used on almost all modern analytics clusters. Students can download and run examples on the "Linux Hadoop Minimal" virtual machine, see below. (3 hours-1 day)|{{wiki: command-line-course.png}}| | | 2 |[[https://www.oreilly.com/search/?query=Practical%20Linux%20Command%20Line%20for%20Data%20Engineers%20and%20Analysts%20Eadline| Practical Linux Command Line for Data Engineers and Analysts]] - Quickly learn the essentials of using the Linux command line on Hadoop/Spark clusters. Move files, run applications, write scripts and navigate the Linux command line interface used on almost all modern analytics clusters. Students can download and run examples on the "Linux Hadoop Minimal" virtual machine, see below. (3 hours-1 day)|{{wiki: command-line-course.png}}| |
| | 3 |[[https://www.safaribooksonline.com/search/?query=Hands-on%20Introduction%20to%20Apache%20Hadoop%20and%20Spark%20Programming&field=title|Hands-on Introduction to Apache Hadoop and Spark Programming]] - A hands-on introduction to using Hadoop, Pig, Hive, Sqoop, Spark and Zeppelin notebooks. Students can download and run examples on the "Linux Hadoop Minimal" virtual machine, see below. (6 hours-2 days)|{{wiki: hands-on-course.png}}| | | 3 |[[https://www.safaribooksonline.com/search/?query=Hands-on%20Introduction%20to%20Apache%20Hadoop%20and%20Spark%20Programming&field=title|Hands-on Introduction to Apache Hadoop and Spark Programming]] - A hands-on introduction to using Hadoop, Pig, Hive, Sqoop, Spark and Zeppelin notebooks. Students can download and run examples on the "Linux Hadoop Minimal" virtual machine, see below. (6 hours-2 days)|{{wiki: hands-on-course.png}}| |
