Massive Data Workloads with Open Source Software

[LeeAndro]

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 1.84 GB | Duration: 3h 29m

The process of selecting the right tools, technologies and strats for aggregating, processing and making sense of high-velocity, high-volume application log data from tens, hundreds or somes thousands of sources can be very overwhelming, expensive, intimidating, stressful and frustrating.

What you'll learn

Tips, tools, techniques and strats for working with massive data workloads using open source software

Tools and strats for aggregating data using open source software

Strats for selecting open source storage solutions

Tools and strats for processing real and batch workloads with open source software

Strats for analyzing and visualizing

Optimizing on performance, reliability, security and costs

Requirements

A computer with internet access is required

Description

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 Eeers, Data Eeers, Data Analysts, Data Scientists and Operations Eeers



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