Collaboration by individuals, organizations, and communities with the right tools and resources is essential in achieving success with data science. Join us for a live demonstration of how you can leverage a data science platform, an open-source model, internal and external data, analytics tools, and visualization using Hadoop. See how unprecedented access to data scientists can deliver entirely new levels of insight to push the boundaries of what’s possible. Find out what you can do NOW to move your data science efforts forward.
Hadoop & Greenplum: Why Do Such a Thing?Ed Kohlwey
Greenplum is using Hadoop in several interesting ways as part of a larger big data architecture with EMC Greenplum Database (a scale-out MPP SQL database) and EMC Isilon (a scale-out network-attached storage appliance). After a quick introduction of Greenplum Database and Isilon, I list some ways Greenplum is tightly integrating with Hadoop and why we would want to do such a thing. Integration points discussed include: Greenplum Database external tables to seamlessly access data in HDFS, querying HBase tables natively from Greenplum Database, Greenplum Database having its underlying storage on HDFS, and Isilon OneFS as a seamless replacement for HDFS.
As the core SQL processing engine of the Greenplum Unified Analytics Platform, the Greenplum Database delivers Industry leading performance for Big Data Analytics while scaling linearly on massively parallel processing clusters of standard x86 servers. This session reviews the product's underlying architecture, identify key differentiation areas, go deep into the new features introduced in Greenplum Database Release 4.2, and discuss our plans for 2012.
Hadoop & Greenplum: Why Do Such a Thing?Ed Kohlwey
Greenplum is using Hadoop in several interesting ways as part of a larger big data architecture with EMC Greenplum Database (a scale-out MPP SQL database) and EMC Isilon (a scale-out network-attached storage appliance). After a quick introduction of Greenplum Database and Isilon, I list some ways Greenplum is tightly integrating with Hadoop and why we would want to do such a thing. Integration points discussed include: Greenplum Database external tables to seamlessly access data in HDFS, querying HBase tables natively from Greenplum Database, Greenplum Database having its underlying storage on HDFS, and Isilon OneFS as a seamless replacement for HDFS.
As the core SQL processing engine of the Greenplum Unified Analytics Platform, the Greenplum Database delivers Industry leading performance for Big Data Analytics while scaling linearly on massively parallel processing clusters of standard x86 servers. This session reviews the product's underlying architecture, identify key differentiation areas, go deep into the new features introduced in Greenplum Database Release 4.2, and discuss our plans for 2012.
The IBM Netezza Data Warehouse ApplianceIBM Sverige
Netezza - Ett enklare sätt till smart analys.
Denna presentation hölls på IBM Data Server Day den 22 maj i Stockholm av Jacques Milman, Datawarehouse Architecture Leader, IBM
EMC World 2012 : Hadoop has rapidly emerged as the preferred solution for big data analytics across unstructured data and companies are seeking competitive advantage by finding effective ways of analyzing new sources of unstructured and machine-generated data. This session reviews the practices of performing analytics using unstructured data with Hadoop.
White Paper: Hadoop on EMC Isilon Scale-out NAS EMC
This White Paper details how EMC Isilon can be used to support an enterprise Hadoop data analytics workflow. Core architectural components are covered as well as how an enterprise can gain reliable business insight quickly and efficiently while maintaining simplicity to meet the storage requirements of an evolving Big Data analytics workflow.
Keynote talk by David Dietrich, EMC Education Services at ICCBDA 2013 : International Conference on Cloud and Big Data Analytics
http://twitter.com/imdaviddietrich
http://infocus.emc.com/author/david_dietrich/
The IBM Netezza Data Warehouse ApplianceIBM Sverige
Netezza - Ett enklare sätt till smart analys.
Denna presentation hölls på IBM Data Server Day den 22 maj i Stockholm av Jacques Milman, Datawarehouse Architecture Leader, IBM
EMC World 2012 : Hadoop has rapidly emerged as the preferred solution for big data analytics across unstructured data and companies are seeking competitive advantage by finding effective ways of analyzing new sources of unstructured and machine-generated data. This session reviews the practices of performing analytics using unstructured data with Hadoop.
White Paper: Hadoop on EMC Isilon Scale-out NAS EMC
This White Paper details how EMC Isilon can be used to support an enterprise Hadoop data analytics workflow. Core architectural components are covered as well as how an enterprise can gain reliable business insight quickly and efficiently while maintaining simplicity to meet the storage requirements of an evolving Big Data analytics workflow.
Keynote talk by David Dietrich, EMC Education Services at ICCBDA 2013 : International Conference on Cloud and Big Data Analytics
http://twitter.com/imdaviddietrich
http://infocus.emc.com/author/david_dietrich/
Open data is obviously socio-politically relevant and helps to reduce administrative costs. It is kind of an infrastructure which is „invisible“ for the business community
But to make it attractive for enterprises, open/external data obviously should be integrable with internal databases.
Are linked data and open semantic web standards the solution?
M12S13 - RIM for the Next Generation: A Call to ActionMER Conference
Speakers: Charles R. Booz, Julia Brickell, and Mike Salvarezza
The RIM paradigms of the past are fast becoming obsolete and unworkable. New perspectives and new approaches are required.
This session is a "Call to Action" - for a complete transformation of the practice of RIM - from regulations and laws to practices and policies.
The session begins by identifying four major changes are redefining how business is conducted:
The emergence of a new generation of workers,
The proliferation of mobile technology,
The explosion of Social Media, and
The rapid advance of new and innovative technological capabilities.
Collectively, these four changes are rapidly and radically changing the world we live and work in. RIM leaders can and should be leading the charge to:
Change the way things are done,
Adjust legal, regulatory, and business expectations to better address new and different technologies, and
Incorporate cultural changes in the way business is conducted.
One approach is to build a prospective Information Governance model that is highly adaptable to changing circumstances and technologies - in order to avoid being trapped by the next paradigmatic fault underlying our basic RIM assumptions.
M12S19 - S19 - CASE STUDY: e-RIM Success with Structured Data SystemsMER Conference
Speakers: Laurie Fischer, Kevin S. Joerling, & Michael S. McKenna
Today, the majority of an organization's business processes and functions are facilitated or supported by the use of electronic systems. In turn, many of these systems create, manage, and/or store electronic data that is "structured".
"Structured data" typically is created and stored according to a pre-defined data model and fits into relational tables, or can be stored in rows and columns.
Information stored in structured data systems often serves as the official evidence of the business process that the system facilitates. As such, this information needs to meet the retention and disposition requirements defined in the organization's retention schedule. The additional requirements for authentic, reliable and unchangeable records are especially challenging since most structured data systems were designed to store and process dynamic and non-redundant data.
Information Technology departments historically have taken the position that since "storage is cheap" the application of an organization's records retention schedule to structured data was not an efficient use of scarce IT resources.
Today, the volume of information and its legal discoverability present a compelling argument for change.
Read more: http://www.rimeducation.com/videos/rimondemand.php
The presentation will discuss the meaning of cloud technologies, various cloud approaches, the three paths to private cloud, challenges associated with private cloud and big data.
Data Pioneers - Roland Haeve (Atos Nederland) - Big data in organisatiesMultiscope
Roland Haeve is cross competence manager Big Data voor Atos Nederland. Roland heeft ruim 18 jaar ICT-ervaring in het aanbieden van complete oplossingen binnen onder andere Business Intelligence (BI) en Big Data (Analytics). Big Data is voor veel bedrijven nog pionieren en uitzoeken wat de mogelijkheden zijn. In zijn presentatie zal Roland ingaan op succesvolle Big Data cases. Hij zal hierbij niet enkel inzoomen op Nederland, maar ook bredere, Europese voorbeelden meenemen.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
SCRIPT:“For many, the ability to move data between Hadoop and a SQL analytical database is the ultimate.Not at Greenplum. We’ve gone well beyond “connectors” to allow our SQL database to access data wherever it lives.”gNet permits not only bulk movement, but also direct query access as we’ll see later. Looking at what gNet does, it not only connects the engines, but extends the massively-parallel engines with massively-parallel communications between them, and builds the necessary software layers for rapid movement and direct query access across that high-performance integration.When deployed in Greenplum’s unique Modular DCA, performance of both bulk data movement and direct data access is further enhanced because DCAs include carefully-designed switching infrastructures that assure minimum switching latency as nodes in Greenplum Database communicate directly with nodes in Greenplum HD.NOTES:
Our expansive partner network ensures you protect your existing investments while having the opportunity to leverage the best available technology.Greenplum has deep partnerships with industry leading organizations such as the SAS institute, Informatica and alpine data labs. Finally, we are fortunate to work with a number of leading applications providers like Silverspring networks who leverage Greenplum as a powerful backend technology. Greenplum is proud to work with this extraordinary partner ecosystem.
What we are announcing
So, we’ve solved for the platform, but remember you also need the Data Scientists. (BUILD: Add Chorus) We are also announcing that we’ve joined forces with Kaggle to solve for the supply of Data Scientists, by integrating Kaggle’s data science community with Chorus, and creating a whole new data science marketplace. (BUILD: Add + Kaggle)Kaggle, as many of you know is: The leading platform for predictive modeling competitionsOver 57K participants, from over 100 countries and 200 universitiesOffers companies a cost-effective way to harness the “cognitive surplus” of the world’s best data scientistsI’d like to now invite Anthony, CEO of Kaggle to give his perspective on this exciting new integration
And this is what we mean by thinking big together, with Chorus, the collaboration platform for Data Science, now open-sourced, and our partnership with Kaggle to deliver a new data science marketplace. This is big. This is solving the biggest problems facing Big Data and Data Science. This will enable organizations to reach their inner predictive enterprise.How do you learn more about this?
