KSQL UDF for sensor analytics. Leverages the new API features of KSQL to build UDF / UDAF functions easily with Java to do continuous stream processing with Apache Kafka. Use Case: Connected Cars – Real Time Streaming Analytics using Deep Learning.
JavaOne 2016 Trends: Besides focus on Java platform updates (Java 9, Java EE 8, etc.), I saw three hot topics, which are highly related to each other: Microservices, Docker and Cloud. I also talked about this topic from a middleware perspective. See my slides and lessons learned.
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).
Everybody is talking about Microservices these days. This article explains how you can create, deploy and monitor Microservices with TIBCO products: ActiveMatrix BusinessWorks, Silver Fabric, TEA, API Exchange. TIBCO uses concepts and technologies such as DevOps, Continuous Delivery, REST, SOAP, Micro Service. TIBCO also supports tools such as Chef, Puppet, Docker, Amazon Cloud, VMWare, OpenStack, etc.
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!
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.
The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.