Comparison of Stream Processing Frameworks and Products

See how stream processing / streaming analytics frameworks (e.g. Apache Spark, Apache Flink, Amazon Kinesis) and products (e.g. TIBCO StreamBase, Software AG’s Apama, IBM InfoSphere Streams) are categorized and compared. Besides, understand how stream processing is related to Big Data platforms such as Apache Hadoop and machine learning (e.g. R, SAS, MATLAB).
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Difference between a Data Warehouse and a Live Datamart?

Data Warehouses have existed for many years in almost every company. While they are still as good and relevant for the same use cases as they were 20 years ago, they cannot solve new, existing challenges and those sure to come in a ever-changing digital world. The upcoming sections will clarify when to still use a Data Warehouse and when to use a modern Live Datamart instead.
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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.
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A New Front for SOA: Open API and API Management as Game Changer

Open API represent the leading edge of a new business model, providing innovative ways for companies to expand brand value and routes to market, and create new value chains for intellectual property. In the past, SOA strategies mostly targeted internal users. Open APIs target mostly external partners. This session introduces the concepts of Open API, its challenges and opportunities. API Management will become important in many areas, no matter if business-to-business (B2B) or business-to-customer (B2C) communication. Several real world use cases will discuss how to gain leverage due to API Management. The end of the session shows and compares API management products from different vendors such as TIBCO API Exchange, IBM, Apigee, 3scale, WSO2, MuleSoft, Mashery, Layer 7, Vordel
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Comparison of Stream Processing and Streaming Analytics Alternatives (Apache Storm, Spark, IBM InfoSphere Streams, TIBCO StreamBase, Software AG Apama)

The article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), when stream processing makes sense, and what technologies and products you can choose from. Comparison of open source and proprietary stream processing / streaming analytics alternatives: Apache Storm, Spark, IBM InfoSphere Streams, TIBCO StreamBase, Software AG’s Apama, etc.
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Intelligent Business Process Management Suites (iBPMS) – The Next-Generation BPM for a Big Data World

I had a talk at ECSA 2014 in Vienna: The Next-Generation BPM for a Big Data World: Intelligent Business Process Management Suites (iBPMS), sometimes also abbreviated iBPM. I want to share the slides with you. The slides include an example how to implement iBPMS easily with the TIBCO middleware stack: TIBCO AMX BPM + BusinessWorks + StreamBase + Tibbr.
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