Welcome to our next KNIME Italy Meetup!
This meetup will be taking place in Milan and is intended for anyone interested in Big Data.
Here is a description of what we will cover:
Cluster Computing is a key aspect of any modern Big Data solution, with Apache Spark representing the state of the art. Unfortunately, despite the increasing support for languages such as Python and R, dealing with Spark still requires a considerable programming background to navigate this environment.
At this meetup, we will have a look at how much easier it is to develop robust machine learning models with KNIME's new Apache Spark module - without any programming skills.
The KNIME Big Data Extension integrates the power of Apache™ Hadoop® and Spark® with the ease-of-use of KNIME Analytics Platform and KNIME Server. You do not have to be a Hadoop expert anymore to make the most of your big data!
For more details, please have a look at the KNIME Big Data Extension webpage
The meetup will round off with networking, pizza and beer.
Together with our trusted partner AdvancedAnalytics.Academy, KNIME.com is hosting an IoT Analytics with KNIME Training course in Stuttgart, Uhlbacherstrasse 75, Germany on July 11, 2016 from 10am to 5:30pm. After the course feel free to stay on for the KNIME Meetup on IoT Analytics in Action starting at ~7:00pm.
Sensors, machine-to-machine, and network data will play a leading role in analytics as the Internet of Things becomes a reality. In this course you will get an introduction to the most important methodologies, algorithms and ideas in IoT Analytics. You will learn to access sensor-based data sources, understand the fundamentals of digital signal processing, realize the importance of smart feature engineering, and use advanced methodologies to uncover underlying patterns or concepts contained in IoT data streams. All exercises are based on real-world IoT datasets.
Who should attend: Data Scientists, signal processing engineers, statisticians, mathematicians, computer scientist and information technology professionals who need to get started with IoT Analytics and want to make better use of their data.
The IoT has evolved from the convergence of wireless technologies, micro-electromechanical systems (MEMS), microservices, and the Internet. This convergence has helped tear down the silo walls between operational technology (OT) and information technology (IT), allowing unstructured machine-generated data to be analyzed for insights that will drive improvements. IIoT will transform companies, opening up a new era of economic growth and competitiveness. Analytics of its always-on data streams will play a crucial role in boosting targeted improvements and systemic adjustments to production processes, product designs and other continuous improvement efforts.
Michael Berthold, founder and president of KNIME, will be starting the meetup with "KNIME for the Masses: Mission Impossible?" After Michael’s talk Thomas Gabriel will provide a KNIME Software Update - including a glimpse at what is new in the most recent 3.2 release of KNIME Analytics Platform.
The next talk, "Applying DSP & Machine Learning algorithms on accelerometer & gyroscope sensors for human activity detection“, by Stefan Weingaertner of AdvancedAnalytics.Academy, presents brand new KNIME nodes for Digital Signal Processing and their application within an IoT Analytics use case.
The final talk on "Sensor-based condition monitoring“, by Jürgen Walter of DATATRONIQ, outlines how Fablab.Berlin optimizes their equipment availability. He will demonstrate the challenges of equipment connectivity, machine data acquisition, realtime condition monitoring and how it has been implemented with DATATRONIQ’s IIoT analytics platform. He will be presenting a selected analytics use case and demonstrate why KNIME is an excellent tool to derive actionable insights from machine data
The next meetup in Boston on July 12 intends to bring together the KNIME Life Science community for an evening of talks and networking.
Shinichiro Wachi, Proteostasis Inc., Natasja Brooijmans, Blueprint Medicines, and Greg Landrum, VP Life Sciences at KNIME, will each be presenting talks on how KNIME Analytics Platform can be used for drug discovery.
The evening will be an ideal opportunity to get to know KNIME and see how the data- and tool-blending capabilities of this modern data analytics platform can enable science.
Would you like to know about the new Workflow Coach and other usability improvements? Or about the latest enhancements in KNIME's analytical capabilities such as nodes for Deep Learning or building boosted trees, REST web services client nodes, and the new Tableau Connector? We will also touch upon our commercial components such as an enhanced integration with Apache Spark and our new offering, the KNIME Cloud Analytics Platform.
Join us for the KNIME Webinar on July 19, 2016 at 6pm (18:00 CEST).
Time: 6pm (Zurich/CEST) / 12pm (New York/EDT) / 9am (Los Angeles/PDT)
Duration: 1 hour