Chemistry Data Basics with KNIME Analytics Platform

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“Great movie with a nice story!” What do you think, did the person like the film or hate it? Most of the time it’s easy for us to decide whether the message of a text is positive or negative. But what if you wanted to automate the process of understanding the sentiment? For example, if you have a lot of customers leaving comments, or people publishing movie reviews, you will want to discern the sentiment and find out who is posting positive or negative messages. Sentiment analysis is an important piece of many data analytics use cases. Whether it processes customer feedback, movie reviews, or tweets, sentiment scores often contribute an important piece to describing the whole scenario. These are just some examples of a long list of use cases for sentiment analysis, which includes social media analysis, 360 degree customer views, customer intelligence, competitive analysis and many more. To avoid doing this manually, we apply sentiment analysis and teach an algorithm to understand text and extract the sentiment using Natural Language Processing. A copy of the webinar can be viewed at https://www.youtube.com/watch?v=By4IZeIzxIw

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Are you curious about KNIME Software? Do you know the difference between KNIME Analytics Platform and KNIME Server? Which data sources can KNIME connect to? Can you run an R script from within a KNIME workflow? A Python script? Which other integrations are available? How can KNIME help with ETL, data preparation, and general data manipulation? Which machine learning algorithms can KNIME offer? This webinar answers all of these questions! There’s also information about connecting to big data clusters and how you can run the whole or part of your analysis on a big data platform. It also covers everything you need to know about Microsoft Azure and Amazon AWS

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We’ve recently created (and shared on the KNIME Workflow Hub - https://hub.knime.com) a number of example workflows based on the principles of Guided Analytics. Each workflow generates a web-based application which is accessible from a web browser via the KNIME WebPortal. These applications serve different purposes from automating the machine learning cycle (https://bit.ly/2JzWLyw) to easily generating single visualizations (https://bit.ly/2O9XKFf), as well as an interactive dashboard to explore complex data (https://bit.ly/2FlAPnE). Regardless of the application, the underlying workflow is based on the same template. These are slides from a webinar, where Paolo takes you behind the scenes of building a workflow for Guided Analytics so you can learn how to use KNIME Software in order to create similar Guided Analytics Applications tailored to your own data science challenge. This webinar is for analytics experts who are familiar with creating workflows for data science. Paolo demonstrates how to use the reusable components (https://bit.ly/2VYYELS) from the KNIME Hub and proposes a general approach which works with most business challenges - for example predictive maintenance, pricing decisions, customer intelligence, and more. If you’re curious about how Guided Analytics can help you quickly find insights and make better decisions in your business, check out this other KNIME webinar (https://bit.ly/2VOE4ZO). Here, Rosaria and Paolo explain and deploy a Guided Analytics Application to automatically generate machine learning solutions. Check out the webinar at https://youtu.be/hUDXcQ9Yl-0

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This presentation shows how to apply advanced analytics to forecast the need for timely restocking of bike stations in Washington DC, by taking into account past history, weather, calendar, traffic conditions, and additional external information. A model is created to predict the restocking need of each station by the hour and based on the minimum bare number of input parameters. The minimum bare number of parameters, necessary to guarantee an adequate prediction accuracy turned out to be: bike station, current bike ratio at the station (# bikes/# slots), time of the day, and weekend vs. business day.

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Launch Your Streaming Platforms in Minutes

Roshan Dwivedi

The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown: Pros of Speedy Streaming Platform Launch Services: No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge. Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker. All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations. Things to Consider: Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions. Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option. Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options). Examples of Services for Launching Streaming Platforms: Muvi [muvi com] Uscreen [usencreen tv] Alternatives to Consider: Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited. Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform. Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.

Providing Globus Services to Users of JASMIN for Environmental Data Analysis

JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.

Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better

XfilesPro

Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...

Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.

Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...

The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.

Essentials of Automations: The Art of Triggers and Actions in FME

Safe Software

In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation. We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios. Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!

Top 7 Unique WhatsApp API Benefits | Saudi Arabia

Yara Milbes

Discover the transformative power of the WhatsApp API in our latest SlideShare presentation, "Top 7 Unique WhatsApp API Benefits." In today's fast-paced digital era, effective communication is crucial for both personal and professional success. Whether you're a small business looking to enhance customer interactions or an individual seeking seamless communication with loved ones, the WhatsApp API offers robust capabilities that can significantly elevate your experience. In this presentation, we delve into the top 7 distinctive benefits of the WhatsApp API, provided by the leading WhatsApp API service provider in Saudi Arabia. Learn how to streamline customer support, automate notifications, leverage rich media messaging, run scalable marketing campaigns, integrate secure payments, synchronize with CRM systems, and ensure enhanced security and privacy.

Understanding Globus Data Transfers with NetSage

NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?

Globus Compute wth IRI Workflows - GlobusWorld 2024

As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.

Orion Context Broker introduction 20240604

Fermin Galan

Quarkus Hidden and Forbidden Extensions

Max Andersen

How to Position Your Globus Data Portal for Success Ten Good Practices

Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.

Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL

Natan Silnitsky

In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey. Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience. Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system. Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.

Globus Compute Introduction - GlobusWorld 2024