Name: Introduction to Apache Tajo
Uploaded: 2016-02-19T00:31:55.000Z
Duration: 1 h 1 min 31 s
Description: Introduction to Apache Tajo (a demo from 2015)

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Apache Tajo was a big data warehouse build for Apache Hadoop, designed for low-latency and scalable ad-hoc queries, online aggregation, and ETL (extract-transform-load process) on large-data sets stored on HDFS (Hadoop Distributed File System) and other data sources. The product is now retired, but it is still open source and freely available (Apache 2.0 license). It's final release is version 0.11.3 from May 18, 2016.

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Introduction to Apache Tajo

Apache Tajo Demo at SOSCON 2015

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We consider ourselves not simply a group of projects sharing a server, but rather a community of developers and users.

Introduction to Apache Tajo (a demo from 2015)

Apache Tajo is one of the SQL-on-hadoop systems. It aims at a data warehouse system for Web-scale data. Basically, it provides distributed scalable batch and interactive query processing via ANSI SQL. It also provides the virtual integration of a multitude of diverse data sources, thereby facilitating easy and rapid data integration which has been regarded as an essential, but heavy step in big data warehouse. My talk will introduce Apache Tajo including its 
overall architecture, current state and challenges, and discuss the advantages what Tajo can bring to users. In addition, I will give a demo of federated query analysis on multiple data sources with Tajo.

Speaker Bio: 
Hyunsik Choi, Ph.D., is one of committer and PMC members on Apache Tajo. He is a director of research at Gruter which is a big data company located in Palo Alto, and he have contributed to query plan optimizer and vectored query engine using modern hardware for Tajo. Recently, he has interests in runtime query compilation techniques 
using LLVM and modern hardware features.

A data warehouse is usually a relational database, designed specifically for data analysis instead of standard transactional processing

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Apache Tajo

Overview

What is Apache Tajo?