apache - Rittman Mead

KSQL: Streaming SQL for Apache Kafka

Few weeks back, while I was enjoying my holidays in the south of Italy, I started receiving notifications about an imminent announcement by Confluent [https://www.confluent.io]. Reading the highlights almost (...I said almost) made me willing to go immediately back to work and check all the details about

Technical

Analytics with Kibana and Elasticsearch through Hadoop - part 3 - Visualising the data in Kibana

In this post we will see how Kibana can be used to create visualisations over various sets of data that we have combined together. Kibana is a graphical front end for data held in ElasticSearch, which also provides the analytic capabilities. Previously we looked at where the data came from

Technical

Analytics with Kibana and Elasticsearch through Hadoop - part 2 - Getting data into Elasticsearch

Introduction In the first part of this series [https://www.rittmanmead.com/blog/2014/11/analytics-with-kibana-and-elasticsearch-through-hadoop-part-1-introduction/] I described how I made several sets of data relating to the Rittman Mead blog from various sources available through Hive. This included blog hits from the Apache webserver log, tweets, and metadata from

Technical

Analytics with Kibana and Elasticsearch through Hadoop - part 1 - Introduction

Introduction I’ve recently started learning more about the tools and technologies that fall under the loose umbrella term of Big Data [http://cdn.meme.am/instances/500x/47510205.jpg], following a lot of the blogs that Mark Rittman has written, including getting Apache log data into Hadoop [https://www.