[ DevCourseWeb.com ] Massive Data Workloads with Open Source Software
Download More Courses Visit and Support Us -->> https://DevCourseWeb.com
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 1.84 GB | Duration: 3h 29m
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
SCREENSHOTS
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
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Get More Tutorials and Support Us -->> https://AppWikia.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
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