open source Archives - Page 16 of 18

Comparison: Data Preparation vs. Inline Data Wrangling in Machine Learning and Deep Learning Projects

ByKai Waehner
13. February 2017

Data Preparation: Comparison of Programming Languages, Frameworks and Tools for Data Preprocessing and (Inline) Data Wrangling in Machine Learning / Deep Learning Projects.

ByKai Waehner
3. November 2016

Comparison of Open Source IoT Integration Frameworks such as Eclipse Kura (+ Apache Camel), Node-RED, Flogo, Apache Nifi, StreamSets, and others… (slide and video recording)

ByKai Waehner
3. November 2016

Introduction to the Open Source IoT Integration Project Flogo to build very lightweight edge applications and microservices for cloud native containers / cloud platforms / serverless architectures.

ByKai Waehner
20. October 2016

Log Analytics is the right framework or tool to monitor for Distributed Microservices. Comparison of Open source, SaaS and Enteprrise Products. Plus relation to big data components such as Apache Hadoop / Spark.

ByKai Waehner
14. September 2016

This blog explains the different components of a hybrid integration architecture, their deployment models, when to use them, and their target audience. Afterward, each section shows how TIBCO’s Hybrid Integration Platform maps to this.

ByKai Waehner
5. August 2016

This article shows the different components available for a Hybrid Integration Architecture. The goal is not to discuss different vendor offerings but to explain different concepts and benefits of each component in general and how they relate to each other. Including concepts such as Hybrid Integration Platform (HIP), Cloud-Native Middleware, PaaS, Docker, iPaaS, iSaaS, API Management, and others.

ByKai Waehner
4. February 2016

Slide deck from OOP 2016: Comparison of Frameworks and Products for Big Data Log Analytics and ITOA, e.g. Open Source ELK, TIBCO LogLogic / Unity, Splunk, Papertrail; Relation to Hadoop is also discussed.

ByKai Waehner
25. October 2015

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).

ByKai Waehner
14. April 2015

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.

ByKai Waehner
24. November 2014

Use Cases and Success Stories for In-Memory Data Grids, e.g. TIBCO ActiveSpaces, Oracle Coherence, Infinispan, IBM WebSphere eXtreme Scale, Hazelcast, Gigaspaces, GridGain, Pivotal Gemfire (Presentation by Kai Wähner at NoSQL Matters 2014 in Barcelona) – NOT SAP HANA 🙂

Technology Evangelist

Kai Waehner

open source

Comparison: Data Preparation vs. Inline Data Wrangling in Machine Learning and Deep Learning Projects

Comparison of Stream Processing Frameworks and Products

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

Global Field CTO

Apache Kafka vs. Middleware (MQ, ETL, ESB) – Slides + Video

Deep Learning Example: Apache Kafka + Python + Keras + TensorFlow + Deeplearning4j

How Apache Kafka and Flink Power Event-Driven Agentic AI in Real Time

Demo Title