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accidentaldba

Files for the Accidental DBA tutorial

awesome-public-datasets

An awesome list of high-quality datasets in public domains (on-going).

bls-scraper

Python script to scrape state level unemployment and consumer price index data from Bureau of Labor Statistics ftp (http://download.bls.gov/pub/time.series/) and ingest data into Postgres/Greenplum/HAWQ database

data

Open Data Sources

go

The Open Source Data Science Masters

greenplum

Greenplum-Vegrant

greenplum-1

GreenPlum Code Samples

greenplum-2

Dockerized version of Greenplum SNE 4.3

greenplum-database

Greenplum Database is a massively parallel processing (MPP) database server that supports next generation data warehousing and large-scale analytics processing. By automatically partitioning data and running parallel queries, it allows a cluster of servers to operate as a single database supercomputer performing tens or hundreds times faster than a traditional database. It supports SQL, MapReduce parallel processing, and data volumes ranging from hundreds of gigabytes, to hundreds of terabytes.

greenplumjdbc

hadoop

Mirror of Apache Hadoop

hawq

Repository for ALL the code related to HAWQ in PSD Data Lake

less-compiler

Watch and compile your .less files automatically

pivotal-hd-and-hawq-blog

pivotal-samples

Repo for Pivotal samples

postgres

Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see http://wiki.postgresql.org/wiki/Submitting_a_Patch

scripts

shell-script

Shell Script on FreeBSD or Ubuntu

spring-xd

Spring XD makes it easy to solve common big data problems such as data ingestion and export, real-time analytics, and batch workflow orchestration

trendingtopics

Rails app for tracking trends in server logs - powered by the Cloudera Hadoop Distribution on EC2

vagrant-pivotalhd

Use Vagrant and Ambari Blueprint API to install PivotalHD 3.0 (or Hortonworks HDP2.x) Hadoop cluster with HAWQ 1.3 (SQL on Hadoop) and Spring XD 1.2