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HDP Advanced Hive

概述

This training course is designed for analysts and developers who need to create and analyze Big Data stored in Apache Hadoop using Hive. Topics include: Understanding of HDP, HDF and its integration with Hive. Hive on Tez, LLAP and Druid OLAP query analysis. Hive data ingestion using HDF and Spark. Also, a focus on EDW offload capabilities in HDP using Hive.

Prerequisites

Students should be familiar with programming principles and have experience in software development. SQL, data modeling and light scripting knowledge is also helpful. No prior Hadoop Knowledge is needed.

目标受众

Analysts, developers and data engineers who need to understand, do analysis and develop applications for Hive on HDP.

Agenda Summary

Information Architecture for Big Data, An introduction to Hadoop, An Introduction to Hive, Hive Programming, Hive File Formats and Compression, Hive Performance Tuning, Hive Security and Data Governance, Pig, HBase and Phoenix, Druid, Streaming Hive Data Ingest, and an EDW Offload to Hive Workshop

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