Pulsar vs Kafka – Comparison and Myths Explored
Kai Waehner
Pulsar vs Kafka – which one is better? This blog post explores pros and cons, popular myths, and…
Browsing Tag
Hortonworks
6 posts
TIBCO BusinessWorks and StreamBase for Big Data Integration and Streaming Analytics with Apache Hadoop and Impala
Apache Hadoop is getting more and more relevant. Not just for big data processing (e.g. MapReduce), but also in fast data processing (e.g. stream processing). Recently, I published two blog posts on the TIBCO blog to show how you can leverage TIBCO BusinessWorks 6 and TIBCO StreamBase to realize big data and fast data Hadoop use cases.
“Hadoop and Data Warehouse (DWH) – Friends, Enemies or Profiteers? What about Real Time?” – Slides (including TIBCO Examples) from JAX 2014 Online
Slides from my talk “Hadoop and Data Warehouse (DWH) – Friends, Enemies or Profiteers? What about Real Time?”…
Slides online: “Big Data beyond Apache Hadoop – How to Integrate ALL your Data” – JavaOne 2013
Slides from my session “Big Data beyond Apache Hadoop – How to Integrate ALL your Data” at JavaOne 2013 in San Francisco are online.
Slides from NoSQLmatters: “Big Data beyond Apache Hadoop – How to integrate ALL your data with Apache Camel and Talend”
Slides from my talk “Big Data beyond Apache Hadoop – How to integrate ALL your data” at NoSQLmatters 2013 in Cologne are online.
You are not Facebook or Google? Why you should still care about Big Data and Apache Hadoop Ecosystem (Pig, Hive, Hortonworks, Cloudera, MapR, Informatica, Talend)
In March 2013, I was at 33rd Degree – “A Conference for Java Masters”. I had two talks, including a new one: “You are not Facebook or Google? Why you should still care about Big Data”. It is a great talk to give an overview about big data, especially from a business perspective (paradigm shift, business value, challenges). However, I also talk about alternatives for big data from a technology perspective, mainly about the defacto standard Apache Hadoop, its ecosystem, distributions, and tooling (i.e. big data suites).
