Comparison of Stream Processing and Streaming Analytics Alternatives (Apache Storm, Spark, IBM InfoSphere Streams, TIBCO StreamBase, Software AG Apama)

Posted in Analytics, Big Data, Business Intelligence, Hadoop on September 10th, 2014 by Kai Wähner

The demand for stream processing is increasing a lot these days. Frameworks (Apache Storm, Spark) and products (e.g. IBM InfoSphere Streams, TIBCO StreamBase, Software AG Apama) for stream processing and streaming analytics are getting a lot of attention these days. The reason is that often processing big volumes of data is not enough. Data has to be processed fast, so that a firm can react to changing business conditions in real time. This is required for trading, fraud detection, system monitoring, and many other examples. A “too late architecture” cannot realize these use cases.

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Intelligent Business Process Management Suites (iBPMS) – The Next-Generation BPM for a Big Data World

Posted in Analytics, Big Data, BPM, Business Intelligence, EAI, ESB, Hadoop, Social Network on August 27th, 2014 by Kai Wähner

In August 2014, I had an interesting talk at ECSA 2014 in Vienna about iBPMS called The Next-Generation BPM for a Big Data World: Intelligent Business Process Management Suites (iBPMS). iBPMS is a term introduced by Gartner some time ago: Magic Quadrant for Intelligent Business Process Management Suites.

I want to share the slides with you. As always, I appreciate every comment or feedback…

Abstract: iBPMS / iBPM

Here is the abstract of my session about iBPMS:

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Fundamentals of Stream Processing (IBM InfoSphere Streams, TIBCO StreamBase, Apache Storm) – Book Review

Posted in Analytics, Big Data, Hadoop on July 1st, 2014 by Kai Wähner

Internet of things, cloud and mobile are the major drivers for stream processing. Use cases are network monitoring, intelligent surveillance, but also less technical things such as inventory management or fraud detection. The book helps a lot to get a basic understanding about history, concepts and patterns of the stream processing paradigm.

“Fundamentals of Stream Processing: Application Design, Systems, and Analytics” (www.amazon.com/Fundamentals-Stream-Processing-Application-Analytics/dp/1107015545) is one of only few books available about stream processing. Published in 2014 by Cambridge University Press. Authors are Henrique C. M. Andrade (JP Morgan, New York), Bugra Gedik (Bilkent University, Turkey), Deepak S. Turaga (IBM Thomas J. Watson Research Center, New York).

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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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WJAX 2013 Slides online: Big Data beyond Apache Hadoop – How to integrate ALL your Data with Camel and Talend

Posted in Uncategorized on November 5th, 2013 by Kai Wähner

I just want to publish my updated slide deck from WJAX 2013 in Munich. I have integrated some real world use cases for showing Hadoop integration with Apache Camel and Talend Open Studio for Big Data.

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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 online: “NoSQL takes over! Alternatives for Integration of NoSQL databases” – NoSQL Roadshow Zurich

Posted in Persistence on September 19th, 2013 by Kai Wähner

Slides from my talk at NoSQL Roadshow 2013 in Zurich are online. NoSQL Roadshow is a great event series by Trifork, which offers a lot of NoSQL sessions and events all over the world.

Presentation: “NoSQL takes over! Alternatives for Integration of NoSQL databases”

SQL cannot solve several problems emerging with big data. NoSQL comes to the rescue, but therefore it does not use SQL as its query language or give full ACID guarantees. Thus, in the future you will have to integrate these NoSQL databases as you integrate SQL databases today.

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“Present, past and future of NoSQL, Big Data and Hadoop” – Speaker Interview with Kai Wähner at NoSQL Roadshow

Posted in Persistence on September 13th, 2013 by Kai Wähner

Just a short blog post with a link to an interview which I gave for NoSQL Roadshow 2013 in Zurich. I talk about present, past and future of NoSQL…

Here is the link to the NoSQL interview: http://nosqlroadshow.com/nosql-zurich-2013/interviewkai

I appreciate every feedback or discussions via @KaiWaehner, konktakt@kai-waehner.de, or social networks (LinkedIn, Xing).

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Slides online: How to create intelligent Business Processes thanks to Big Data (BPM, Apache Hadoop, Talend, Open Source)

Posted in BPM on June 13th, 2013 by Kai Wähner

I had a talk at EAM / BPM conference in London about “How to create intelligent Business Processes thanks to Big Data“. I just want to share the slides with you.

Content

BPM is established, tools are stable, many companies use it successfully. However, today’s business processes are based on data from relational databases or web services. Humans make decisions due to this information. Companies also use business intelligence and other tools to analyze their data.  Though, business processes are executed without access to this important information because technical challenges occur when trying to integrate big masses of data from many different sources into the BPM engine. Additionally, bad data quality due to duplication, incompleteness and inconsistency prevents humans from making good decisions. That is status quo. Companies miss a huge opportunity here!

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Big Data beyond Hadoop – How to integrate ALL data with Apache Camel and Talend => Video from NoSQL matters 2013 online

Posted in EAI, Persistence on June 4th, 2013 by Kai Wähner

Just a short reference to a video of my talk “Big Data beyond Hadoop – How to integrate ALL data” at NoSQL matters 2013 in Cologne, Germany. I already posted the slides in a former blog post here.

I hate watching myself, and I know that I am speaking too fast in this talk, but maybe you still want to take a look:

 

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