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
- Linux / CDH 5
- Java Programming preferred
Last updated 1/2018
Build Big Data Pipelines w/ Hadoop, Flume, Pig, MongoDB.zip | Mirror [Size: 410.4 MB]
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