TIBCO BusinessWorks and StreamBase for Big Data Integration and Streaming Analytics with Apache Hadoop and Impala

Posted in Analytics, Big Data, Business Intelligence, Hadoop, In Memory, NoSQL on April 14th, 2015 by Kai Wähner

Apache Hadoop is getting more and more relevant. Not just for Big Data processing (e.g. MapReduce), but also for 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.

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“Hadoop and Data Warehouse (DWH) – Friends, Enemies or Profiteers? What about Real Time?” – Slides (including TIBCO Examples) from JAX 2014 Online

Posted in Analytics, Big Data, Business Intelligence, Cloud, ESB, Hadoop on May 13th, 2014 by Kai Wähner

Slides from my talk “Hadoop and Data Warehouse (DWH) – Friends, Enemies or Profiteers? What about Real Time?” at JAX 2014 (Twitter #jaxcon) in Mainz are online. JAX is a great conference with interesting topics and many good speakers!

Content (Data Warehouse, Business Intelligence, Hadoop, Stream Processing)

Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data. New business models based on predictive analytics, such as recommendation systems or fraud detection, are relevant more than ever before. Apache Hadoop seems to become the de facto standard for implementing big data solutions. For that reason, solutions from many different vendors emerged on top of Hadoop.

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Slides online: “Big Data beyond Apache Hadoop – How to Integrate ALL your Data” – JavaOne 2013

Posted in EAI on September 25th, 2013 by Kai Wähner

Slides from my session “Big Data beyond Apache Hadoop – How to Integrate ALL your Data” at JavaOne 2013 in San Francisco are online.

Abstract

Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data.

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Slides from NoSQLmatters: “Big Data beyond Apache Hadoop – How to integrate ALL your data with Apache Camel and Talend”

Posted in EAI on April 26th, 2013 by Kai Wähner

Slides from my talk “Big Data beyond Apache Hadoop – How to integrate ALL your data” at NoSQLmatters 2013 in Cologne are online.

Here the abstract:

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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)

Posted in Uncategorized on March 14th, 2013 by Kai Wähner

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 (Hive, Pig, HBase, Oozie, Sqoop, etc.), distributions (Cloudera, Hortonworks, MapR), and tooling (i.e. big data suites, e.g. Talend, Informatica, Oracle, IBM).

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