What you'll learn
Tips, tools, techniques and strategies for working with massive data workloads using open source software
Tools and strategies for aggregating data using open source software
Strategies for selecting open source storage solutions
Tools and strategies for processing real time and batch workloads with open source software
Strategies for analyzing and visualizing
Optimizing on performance, reliability, security and costs
Requirements
A computer with internet access is required
Description
The process of selecting the right tools, technologies and strategies for aggregating, processing and making sense of high-velocity, high-volume application log data from tens, hundreds or sometimes thousands of sources can be very overwhelming, expensive, intimidating, stressful and frustrating. This course offers a complete, hands-on instruction on how to aggregate, process, search and visualize massive log data using open source software tools, frameworks and platforms available today to solve these challenges.
Who this course is for:
Software Engineers, Data Engineers, Data Analysts, Data Scientists and Operations Engineers
Homepage

https://www.udemy.com/course/massive-data-workloads-with-open-source-software/

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