Integration of Amazon Redshift Cloud Data Warehouse (AWS SaaS DWH) with Talend Data Integration (DI) / Big Data (BD) / Enterprise Service Bus (ESB)

In this blog post, I will show you how to „ETL“ all kinds of data to Amazon’s cloud data warehouse Redshift wit Talend’s big data components. You need not be a cloud or DWH expert, or an expert developer to integrate with Amazon’s cloud data warehouse Redshift. It is very easy with Talend’s integration solutions. Just drag&drop, configure, do some graphical mappings / transformations (if necessary), that’s it. Code is generated. Job runs. With Talend, you can easily „ETL“ all data from different sources to Redshift and store it there for under $1,000 per terabyte per year – even with the open source version!
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What is the TCO difference between IBM WebSphere and Open Source JBoss? – Just my two cents…

I have spotted a really great article about comparing prices of open source and proprietary products: “What is the TCO difference between WebSphere and JBoss?”. The interesting aspect is, that this article is written by an IBM-biased company (Prolifics). Usually, only open source vendors write such comparisons. I really like this article, seriously! It is good to see comparisons not only by open source vendors, but also by vendors such as IBM (in this case, Prolifics cannot be considered unbiased, it is an IBM consulting company – but that is fine). I just want to give my two cents to this article in the following…
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Cloud Integration with Apache Camel and Amazon Web Services (AWS): S3, SQS and SNS

The integration framework Apache Camel already supports several important cloud services. This article describes the combination of Apache Camel and the Amazon Web Services (AWS) interfaces of Simple Storage Service (S3), Simple Queue Service (SQS) and Simple Notification Service (SNS). Thus, The concept of Infrastructure as a Service (IaaS) is used to access messaging systems and data storage without any need for configuration.
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Rapid Cloud Development with Spring Roo – Part 2: VMware Cloud Foundry

Spring Roo is a tool to offer rapid application development on the Java platform. It supports two solutions for Cloud Computing at the moment: Google App Engine (GAE) and VMware Cloud Foundry. Both provide the Platform as a Service (PaaS) concept. This article will discuss the Cloud Foundry support of Spring Roo. GAE was discussed in part 1 of this article series (https://www.kai-waehner.de/blog/2011/07/18/rapid-cloud-development-with-spring-roo-%E2%80%93-part-1-google-app-engine-gae).
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Rapid Cloud Development with Spring Roo – Part 1: Google App Engine (GAE)

Spring Roo is a tool to offer rapid application development on the Java platform. I already explained when to use it: https://www.kai-waehner.de/blog/2011/04/05/when-to-use-spring-roo. Spring Roo supports two solutions for Cloud Computing at the moment: Google App Engine (GAE) and VMware Cloud Foundry. Both provide the Platform as a Service (PaaS) concept. This article will discuss the GAE support of Spring Roo. Cloud Foundry will be analyzed in part 2 of this article series.
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Cloud Computing Heterogeneity will require Cloud Integration – Apache Camel is already prepared!

Cloud Computing is the future – if you believe market forecasts from companies such as Gartner. I think so, too. But everybody should be aware that there won’t be one single cloud solution, but several clouds. These clouds will be hosted at different providers, use products and APIs from different vendors and use different concepts (IaaS, PaaS, SaaS). Thus, in the future you will have to integrate these clouds as you integrate applications today.
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