MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 34 | 331 MB Genre: eLearning | Language: English
Provide higher-level language to facilitate large-data processing.
This course is part of “Big data Internship Program” which is aligned to a typical Big data project life cycle stage.
Foundation Ingestion Storage Processing Visualization This course is focused on Data Processing in Big data.This course is suitable for developers, data analysts and business analysts. Experience with SQL and scripting languages is recommended, but is not required.
You will learn
Understanding of Hive core concept and architecture. How to create and manipulate tables using Hive. Advanced features of Hive. Hive Best Practices Performing real-time, complex queries on datasets Pig’s Architecture Reading and Writing Data with Pig Pig Best Practices Project work –
Provide Data in Hive and manipulate the data for Our Book Recommendation project. One Ad-on project – Data Masking with hive and sqoop