This repository expands on my earlier Docker-Hadoop repository where I put together a basic HDFS/YARN/MapReduce system. In the present repository I explore various SQL-on-Hadoop options by spelling ...

Experienced data management professionals are adopting Hadoop, and they want to use their SQL skills and tools with Hadoop data.

One of the great things about Hadoop is that it's open source, which allows developers of all stripes to lash their code to the beast and give it a whirl. One of the big data software startups riding ...

SQL on Hadoop also allows businesses to easily integrate Hadoop into their existing technology stack and reduces the learning curve required to use the platform. There are a number of different SQL-on ...

A transparent SQL-on-Hadoop query mechanism would open up data stored in Hadoop to Teradata Warehouse and a universe of SQL-speaking BI tools.

For businesses that want to run analytics on low-cost Hadoop clusters, fully compliant SQL is now possible natively on the big data platform, according to Actian.

This project demonstrates how to use Sqoop to read data from a SQL database and import it into Hadoop. This can be used to import data from a variety of sources, such as customer relationship ...

On and off, over the years, I have followed and written about the SQL-on-Hadoop saga. The adventure started with Apache Hive, which originally provided a SQL layer on top of MapReduce, bringing ...