Build Big Data Pipelines w Hadoop, Flume, Pig, MongoDB

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MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 3.5 Hours | Lec: 46 | 470 MB | Language: English + Sub .VTT

Learn how to combine Hadoop, MongoDB, Pig, Sqoop and Flume to Architect and Build Big Data Pipelines and Data lakes.

What you'll learn
Learn how to stitch individual Big Data Technologies together to solve business problems
Build and deploy Big Data Pipelines

Requirements
Hadoop
Linux / CDH 5
Java Programming preferreddobe Photoshop is Recommended

Description
How do you build end-to-end Big Data Pipelines using multiple Big Data Technologies? You have seen courses and books that teach you individual technologies, but how do you combine and apply them to solve your business problems? This course teach you exact that !

Building Big Data Solutions require you to acquire data from multiple sources, transport them, process them and store them in Big Data repositories. You have to do that with scalability and reliability. Big Data Technologies like Hadoop, Sqoop, Pig, Flume etc. solve individual problems, but building an end-to-end solution requires stitching them together. This course teaches you how to do that. You solve complete business problems by building end-to-end pipelines in this course.

Who this course is for?
Big Data Engineers
Big Data Architects
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