Big Data All Hands Meeting @ KIT
October 12, 2017 by Parinaz Ameri
After two exciting days, the 2nd Big Data All Hands Meeting that was held in conjunction with the Smart Data Innovation Conference is over.
After two exciting days, the 2nd Big Data All Hands Meeting that was held in conjunction with the Smart Data Innovation Conference is over. 25 exciting talks from all over Germany demonstrated that Big Data is a major topic far beyond KIT and academia, as KIT’s vice president Oliver Kraft stressed when opening the conference.
The achievements during another year in German Big Data Research were presented. Different Big Data Projects reported on their successes as well as the known and newly rising challenges . The talks about legal and privacy issues at the beginning made it clear that Big Data will remain an interesting topic to practice from various aspects. The economical relevance became particularly obvious in the Data Innovation Community Meeting Industrie4.0. In addition, the societal relevance of the topic could be experienced looking at Big Data art at the ZKM in the evening.
The interdisciplinary aspect was a particular part of many scientific talks on applications, analytics and platforms. You could feel the enthusiasm of both researchers and industrial representatives during the whole conference. Chances for networking were well used. The hands-on-tutorial on the SDIL platform focused on the hot topics of data analytics and machine learning.
After a great meeting last year at SCADS in Dresden and a successful event this year, we are already looking forward to meet everyone next year at BBDC in Berlin.
Projektvorstellung: Zustandsüberwachung von Dichtungslösungen von Trelleborg
April 27, 2017 by Johannes Kunze von Bischhoffshausen, Manager Digital Transformation and Internet of Things at Trelleborg Sealing Solutions
SDIL is a great initiative that is easing the journey for component developers and producers to fulfill the objectives of Industry 4.0.
Intelligent sealing systems have long been a dream of engineers at Trelleborg Sealing Systems. With the support of SDIL and in collaboration with our partners on the ‘Advanced Condition Monitoring for Sealing Solutions’ project, we hope that in some way we can make that dream a reality.
Industry 4.0 and the internet of things are becoming an important focus for manufacturers worldwide and there is a call for products to become smarter and more intelligent whatever and wherever they may feature. More and more users want intelligent products. SDIL is a great initiative that helps component developers and producers meet their goals. The engineers at Trelleborg have long dreamed of intelligent sealing systems. Together with SDIL we want to reach this dream.
Trelleborg Sealing Solutions is continuously working on the measuring and predicting of the condition of seals and it therefore runs a wide variety of instrumented tests on its test rigs. Measurements such as temperatures, speed, pressures and vibration are captured in very high frequencies. By leveraging Big Data Technology from its SDIL partners, Karlsruhe Institute of Technology (KIT) and IBM, Trelleborg will apply advanced machine learning in order to gain new insights, reduce testing costs and lay the foundation for advanced condition monitoring of sealing solutions in the field.
Huawei provides the SDIL with new, powerful hardware and software solutions
February 19, 2017 by Götz Brasche, CTO IT R&D and Director Central Software Institute
Huawei is pleased to be the new core partner to support the SDIL!
From now on, we provide researchers as well as the industry with a powerful instance of our FusionInsight hardware and software systems for big data analysis. The support for the SDIL, as one of the three major German competence centers for Big Data, is an important concern for Huawei. Besides the support for the research communities with a lot of know-how and research questions, Huawei provides core technology with FusionInsight Big Data. The computers were delivered to the SCC in early February and are currently being integrated as an important part of the SDIL platform. FusionInsight provides a comprehensive Big Data software platform for batch and real-time analysis using Hadoop and Spark technologies. The system leverages HDFS, HBase, MapReduce and YARN/Zookeeper for Hadoop clustering, along with Apache Spark for faster real-time analysis and interactive queries. Solr adds powerful full-text search in RTF documents (Word and PDF files), and Rich-APIs and development tools let you customize the system for a specialized data analysis. We are particularly pleased that SDIL (now also with the support of Huawei) has created a unique software and hardware platform that has just been recognized by the Big Data Value Association (BDVA) as one of only five Europe-wide innovation spaces. The offer from SDIL, which is specifically aimed at industrial data, is unique in Germany and lives from the cooperation between companies and research partners beyond SDIL core partners. We hope that based on the Huawei FusionInsight, further possibilities can be created to analyze data sets and streams with professional tools and to test new Big Data architectures (for example, by new streaming applications or by the integration of SAP HANA Vora with our Spark and Hadoop services). In this way, unique research infrastructure is available within the SDIL, especially for Big Data applied-research with real world data.
SDIL was awarded the BDVA iSpace Label
November 29, 2016 by Michael Beigl, SDIL Coordinator
The Smart Data Innovation Lab is among the first five Big Data Value Innovation Spaces in the EU.
The Big Data Value Association (BDVA) granted a label to SDIL as an European Innovation Space (i-Space) acknowledging SDIL efforts to drive forward Big Data adoption across all domains within European industry.
This label awards SDIL for its outstanding infrastructure, Quality of Services, Projects and Impact to Ecosystem. All these topics were evaluated according to a rigid criterion catalogue for the label grant, which awarded 5 data centers across Europe.
SDIL received a trophy-award at the BDVA i-Space Label Ceremony during the Big Data Value Association Summit in Valencia on 30th November 2016.
Read the BDVA press release about the i-Spaces Label grant at: http://www.bdva.eu/?q=node/554
October 30, 2016 by
Within the first conference on Smart Data Innovation, the Smart Data Innovation Lab (SDIL) and its Data Innovation Communities has presented their work and provide a hands-on experience of the SDIL Platform.
It is now 2 years since the Smart Data Innovation Lab was launched. An initiative of the national IT summit of the Federal Government has now become a central starting point for researchers and developers from industry and research with the help of members and partners from industry and research as well as with the support of the BMBF. In the meantime, “a number of projects are counting on the free and uncomplicatedly provided SDIL smart data hardware and software, and a whole community has emerged especially around the middle class.
I would therefore like to invite you to the first conference on “Smart Data Innovation” and the Smart Data Innovation Lab. The conference is designed to accelerate the cooperation between business, government and research in the field of big data and smart data technologies.
Enclose the preliminary program (https://indico.scc.kit.edu/indico/event/248/timetable/#20161013.detailed) with:
Lectures on many concrete SmartData projects, ecosystems and technologies (Thursday morning),
practical tutorials, where you can experiment on the systems yourself (Thursday afternoon),
Workshops of the Data Innovation Communities (Wednesday afternoon).
The conference will take place at the Steinbuch Center for Computing (SCC) on the north campus of KIT. Registration is mandatory to organize access and transfer. At the SCC, the protected physical computing infrastructure of the SDIL and other large computers can also be viewed on the site of the former Karlsruhe Research Center.
You can subscribe free of charge to the conference and to the Data Innovation Communities at www.sdil.de.