randerzander/zeppelin-notes

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Created over 9 years ago
Updated about 9 years ago

randerzander/zeppelin-notes

randerzander

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A series of notes for Apache Zeppelin

docker-hdp

Dockerized HDP Cluster

jupyter-service

Ambari Service definition for an Jupyter (IPython3) Notebook service

opcua-kafka

Example of an OPCUA compliant server, and an OPCUA compliant client subscribing to the server and publishing tag readings to Kafka 0.8

r-service

Ambari Service definition for deploying R & RHadoop libraries

HiveToPhoenix

An Apache Spark app for making data movement between Apache Hive and Apache Phoenix/HBase

storm-python-example

Example of processing Kafka messages via Storm with Python ShellBolts

docker-ambari

Dockerfile and artifacts for running a self-contained HDP 2.3 "cluster" in a docker container

rt-view

Ambari View for RealTime display

TechOps

Operations Monitoring & Analysis with Apache NiFi, Zeppelin, and Spark

phoenix-view

Ambari View for Phoenix and HBase

wellbook

maven-service

Ambari Service definition for installing Apache Maven on an Ambari managed node

PhoenixPerf

Apache Phoenix Performance Testing

docker-druid

A Dockerized Druid instance useful for dev

node-phoenix

Simple NodeJS example of connecting to and running a query against Apache Phoenix tables

StormCommon

A set of commonly used components for Apache Storm

docker-phoenix

Dockerized Apache Phoenix

SaltSplitter

Apache Phoenix bulk load prep tool

StreamSimulator

Timestamped logfile to NiFi or Kafka stream simulator

servlet-view-example

Example Ambari view for submitting Hive queries

docker-rapids

A dev container for building rapids.ai projects from source

SequenceFileKeyValueInputFormat

A custom Hadoop InputFormat

ExclaimUDF

Simplest imaginable UDF for Apache Hive

CurveUDFs

A set of Apache Hive UDFs for computing curves

randerzander.github.io

mr-streaming-wrapper

Wrapper for running arbitrary executables (via streaming mapreduce) against files in HDFS

RulesTopology

Dynamic (Python) Rules for Apache Storm