In this presentation I argue that the future of data management may see a split between (1) real-time in-memory systems such as SAP HANA for most enterprise workloads (2) disk-based free and open-source Apache Hadoop for certain specialized big data uses.
The presentation starts with a definition of what is intended by the term big data, then talks about SAP HANA and Apache Hadoop from the perspective of suitability for enterprise use with a special concentration on Hadoop. (The basics of SAP HANA were covered in the immediately preceding session). This is followed by a description of currently available SAP support for Apache Hadoop in SAP BI 4.0 and SAP Data Services / EIM. Due to time constraints I did not discuss Apache Hadoop support built into Sybase IQ.
Summary of three National webinars. Three V's, market, Functional areas showing most traction, Hot Revenue/ROI areas, Architecture options and using Use cases to overcome objections.,
CIO Guide to Using SAP HANA Platform For Big DataSnehanshu Shah
This guide supports CIOs in setting up a system infrastructure for their business that can get the best out of Big Data. We describe what the SAP HANA platform can do and how it integrates with Hadoop and related technologies interplay, looking at data life cycle management and data streaming. Concrete use cases point out the requirements associated with Big Data as well as the opportunities it offers, and how companies are already taking advantage of them.
Leveraging SAP HANA with Apache Hadoop and SAP AnalyticsMethod360
The rise of big data and the Apache Hadoop platform allows for the capture and processing of data at an unprecedented scale and velocity. Watch this slide deck to get a comprehensive overview of the Apache Hadoop platform architecture and learn how to leverage the strengths of both the Apache Hadoop and SAP HANA platforms.
The SAP solutions for Enterprise Information Management (EIM) Overview presentation provides a comprehensive overview on the portfolio of EIM solutions.
Summary of three National webinars. Three V's, market, Functional areas showing most traction, Hot Revenue/ROI areas, Architecture options and using Use cases to overcome objections.,
CIO Guide to Using SAP HANA Platform For Big DataSnehanshu Shah
This guide supports CIOs in setting up a system infrastructure for their business that can get the best out of Big Data. We describe what the SAP HANA platform can do and how it integrates with Hadoop and related technologies interplay, looking at data life cycle management and data streaming. Concrete use cases point out the requirements associated with Big Data as well as the opportunities it offers, and how companies are already taking advantage of them.
Leveraging SAP HANA with Apache Hadoop and SAP AnalyticsMethod360
The rise of big data and the Apache Hadoop platform allows for the capture and processing of data at an unprecedented scale and velocity. Watch this slide deck to get a comprehensive overview of the Apache Hadoop platform architecture and learn how to leverage the strengths of both the Apache Hadoop and SAP HANA platforms.
The SAP solutions for Enterprise Information Management (EIM) Overview presentation provides a comprehensive overview on the portfolio of EIM solutions.
This is a point of view document showing the various possible techniques to integrate SAP HANA and Hadoop and their pros & cons and the scenarios where each of them is recommended.
SAP/HANA Financial Closing can help you ACCELERATE your financial closing cycle. Benefit from increased governance, higher user efficiency and automation, strong collaboration, and real-time insight.
Hadoop, Spark and Big Data Summit presentation with SAP HANA Vora and a path ...Ocean9, Inc.
Slides from BrightTALK webinar; listen here: http://bit.ly/1rpVkov
Understand how popular open source and vendor provided technologies integrate well, all making key contributions to a successful big data technology.
But more important than technology is the business goals you define and aim to achieve. - See many examples in this deck and online presentation.
Lastly, how do you bridge the digital implementation gap between in-house capabilities and the market demands driving endless new technologies. - How can you test drive and prototype without owning and committing to all these new technologies?
Listen to the full webcast to find out how: http://bit.ly/1rpVkov
Unlocking new revenue opportunities with SAP HANA: SAP HANA provides your sales organization with deep insights into large volumes of sales-related data for unlocking new revenue opportunities. You can also empower your organization with access to real-time information for quicker reactions to changing sales conditions while also leveraging up-to-date data for more accurate forecasting. Furthermore, SAP HANA allows faster analysis and simulations to help accelerate decisions along the sales cycle.
With SAP HANA, you can significantly improve revenues and profits while boosting your sales effectiveness.
This presentation gives you an overview about SAP HANA, explains how SAP HANA is working, addresses the comprehensive SAP big data solution, and at last, illustrates how to create a SAP HANA One instance in AWS to tame your big data challenges.
Whether MVC for user interfaces, or Spine and Leaf for data centers, new
architecture patterns in our industry act as sort of historical markers of the
effectiveness and acceptance of new technologies. Practical techniques push the
bounds resulting in a shift. Application of distributed storage and streaming
capabilities such as Kafka and of course Hadoop are shifting Big Data architectures
from a layer cake concept, or North/South oriented approach to one which can be
thought of as an East/West architectural concept. Recently popular is Lambda
Architecture, this article presents an SAP HANA based rendering of the Lambda
Architecture.
Slides from a session at GigaCon Big Data conference in Warsaw, Poland on Jan 27, 2014. Updated with the content presented at Big Data Budapest on Aug 18, 2014.
SAP Helps Reduce Silos Between Business and Spatial DataSAP Technology
Discover how spatial solutions from SAP can help your business leverage geographic and spatial data to deliver location intelligence, increase insight, and improve efficiency. Solutions include SAP HANA, SAP BusinessObjects Analytics, SAP Geographical Enablement Framework, SAP GEO.e, Galigeo.
The strategic relationship between Hortonworks and SAP enables SAP to resell Hortonworks Data Platform (HDP) and provide enterprise support for their global customer base. This means SAP customers can incorporate enterprise Hadoop as a complement within a data architecture that includes SAP HANA, Sybase and SAP BusinessObjects enabling a broad range of new analytic applications.
Definition - What does SAP HANA mean?
SAP HANA is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk. This allows the application to provide instantaneous results from customer transactions and data analyses.
HANA stands for high-performance analytic appliance.
SUMTWO explains SAP HANA
SAP HANA is designed to process structured data from relational databases, both SAP and non-SAP, and applications and other systems rapidly. It is capable of using three styles of data replication depending on the source of the data - log-based, ETL-based and trigger-based. The relocated structured data is stored directly in memory. Because of this, data can be accessed quickly in real time by the applications that use HANA.
SAP HANA supports various use cases for real-time analytics. Some examples include:
•Monitoring and optimization of telecommunications network
•Supply chain and retail optimization
•Fraud detection and security
•Forecasting and profitability reporting
•Energy use optimization and monitoring
The heart of SAP HANA Enterprise 1.0 is the SAP In-Memory Database 1.0, a massively parallel processing data store that melds row-based, column-based, and object-based storage techniques. Other components of SAP HANA Enterprise 1.0 include:
• SAP In-Memory Computing Studio,
• SAP Host Agent 7.2,
• SAPCAR 7.10,
• Sybase Replication Server 15,
• SAP HANA Load Controller 1.00, and,
• SAP Landscape Transformation 1 - SHC for ABA.
This Timeline shows SAP HANA's history, from it's development, to key achievements and customer adoption up until the first SAP HANA Anniversary. It's amazing what has been accomplished in such a short period of time and it will be interesting to see how SAP HANA will change the way we work.
For more information on SAP HANA please go to https://www.experiencesaphana.com and follow the conversation on Twitter @SAPInMemory.
For more customer stories, please visit: http://bit.ly/1dsW5X1
Discover SAP HANA use cases applicable to your business needs, organized by SAP solution or business category. Read success stories from customers already implementing these use cases to build business value, and get guidance on how you can deliver the use cases to your business.
The strategic relationship between Hortonworks and SAP enables SAP to resell Hortonworks Data Platform (HDP) and provide enterprise support for their global customer base. This means SAP customers can incorporate enterprise Hadoop as a complement within a data architecture that includes SAP HANA and SAP BusinessObjects enabling a broad range of new analytic applications.
Tomorrow’s industry leaders are the ones that draw new insights by creatively combining the data they have today. That can be a real challenge for most companies, especially since data types and volumes have grown astronomically over the last decade. And when you pair that with the tasks of gathering, organizing, and managing information from all over an organization and ensuring its accuracy, you have quite a job on your hands. But with our comprehensive portfolio of enterprise information management solutions, your business can unlock the power of its data, achieve entirely new insights, and use them to create a winning future.
This is a point of view document showing the various possible techniques to integrate SAP HANA and Hadoop and their pros & cons and the scenarios where each of them is recommended.
SAP/HANA Financial Closing can help you ACCELERATE your financial closing cycle. Benefit from increased governance, higher user efficiency and automation, strong collaboration, and real-time insight.
Hadoop, Spark and Big Data Summit presentation with SAP HANA Vora and a path ...Ocean9, Inc.
Slides from BrightTALK webinar; listen here: http://bit.ly/1rpVkov
Understand how popular open source and vendor provided technologies integrate well, all making key contributions to a successful big data technology.
But more important than technology is the business goals you define and aim to achieve. - See many examples in this deck and online presentation.
Lastly, how do you bridge the digital implementation gap between in-house capabilities and the market demands driving endless new technologies. - How can you test drive and prototype without owning and committing to all these new technologies?
Listen to the full webcast to find out how: http://bit.ly/1rpVkov
Unlocking new revenue opportunities with SAP HANA: SAP HANA provides your sales organization with deep insights into large volumes of sales-related data for unlocking new revenue opportunities. You can also empower your organization with access to real-time information for quicker reactions to changing sales conditions while also leveraging up-to-date data for more accurate forecasting. Furthermore, SAP HANA allows faster analysis and simulations to help accelerate decisions along the sales cycle.
With SAP HANA, you can significantly improve revenues and profits while boosting your sales effectiveness.
This presentation gives you an overview about SAP HANA, explains how SAP HANA is working, addresses the comprehensive SAP big data solution, and at last, illustrates how to create a SAP HANA One instance in AWS to tame your big data challenges.
Whether MVC for user interfaces, or Spine and Leaf for data centers, new
architecture patterns in our industry act as sort of historical markers of the
effectiveness and acceptance of new technologies. Practical techniques push the
bounds resulting in a shift. Application of distributed storage and streaming
capabilities such as Kafka and of course Hadoop are shifting Big Data architectures
from a layer cake concept, or North/South oriented approach to one which can be
thought of as an East/West architectural concept. Recently popular is Lambda
Architecture, this article presents an SAP HANA based rendering of the Lambda
Architecture.
Slides from a session at GigaCon Big Data conference in Warsaw, Poland on Jan 27, 2014. Updated with the content presented at Big Data Budapest on Aug 18, 2014.
SAP Helps Reduce Silos Between Business and Spatial DataSAP Technology
Discover how spatial solutions from SAP can help your business leverage geographic and spatial data to deliver location intelligence, increase insight, and improve efficiency. Solutions include SAP HANA, SAP BusinessObjects Analytics, SAP Geographical Enablement Framework, SAP GEO.e, Galigeo.
The strategic relationship between Hortonworks and SAP enables SAP to resell Hortonworks Data Platform (HDP) and provide enterprise support for their global customer base. This means SAP customers can incorporate enterprise Hadoop as a complement within a data architecture that includes SAP HANA, Sybase and SAP BusinessObjects enabling a broad range of new analytic applications.
Definition - What does SAP HANA mean?
SAP HANA is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk. This allows the application to provide instantaneous results from customer transactions and data analyses.
HANA stands for high-performance analytic appliance.
SUMTWO explains SAP HANA
SAP HANA is designed to process structured data from relational databases, both SAP and non-SAP, and applications and other systems rapidly. It is capable of using three styles of data replication depending on the source of the data - log-based, ETL-based and trigger-based. The relocated structured data is stored directly in memory. Because of this, data can be accessed quickly in real time by the applications that use HANA.
SAP HANA supports various use cases for real-time analytics. Some examples include:
•Monitoring and optimization of telecommunications network
•Supply chain and retail optimization
•Fraud detection and security
•Forecasting and profitability reporting
•Energy use optimization and monitoring
The heart of SAP HANA Enterprise 1.0 is the SAP In-Memory Database 1.0, a massively parallel processing data store that melds row-based, column-based, and object-based storage techniques. Other components of SAP HANA Enterprise 1.0 include:
• SAP In-Memory Computing Studio,
• SAP Host Agent 7.2,
• SAPCAR 7.10,
• Sybase Replication Server 15,
• SAP HANA Load Controller 1.00, and,
• SAP Landscape Transformation 1 - SHC for ABA.
This Timeline shows SAP HANA's history, from it's development, to key achievements and customer adoption up until the first SAP HANA Anniversary. It's amazing what has been accomplished in such a short period of time and it will be interesting to see how SAP HANA will change the way we work.
For more information on SAP HANA please go to https://www.experiencesaphana.com and follow the conversation on Twitter @SAPInMemory.
For more customer stories, please visit: http://bit.ly/1dsW5X1
Discover SAP HANA use cases applicable to your business needs, organized by SAP solution or business category. Read success stories from customers already implementing these use cases to build business value, and get guidance on how you can deliver the use cases to your business.
The strategic relationship between Hortonworks and SAP enables SAP to resell Hortonworks Data Platform (HDP) and provide enterprise support for their global customer base. This means SAP customers can incorporate enterprise Hadoop as a complement within a data architecture that includes SAP HANA and SAP BusinessObjects enabling a broad range of new analytic applications.
Tomorrow’s industry leaders are the ones that draw new insights by creatively combining the data they have today. That can be a real challenge for most companies, especially since data types and volumes have grown astronomically over the last decade. And when you pair that with the tasks of gathering, organizing, and managing information from all over an organization and ensuring its accuracy, you have quite a job on your hands. But with our comprehensive portfolio of enterprise information management solutions, your business can unlock the power of its data, achieve entirely new insights, and use them to create a winning future.
Hybrid Cloud A Journey to the Cloud by Peter HellemansNRB
A recent Avanade study highlighted that, although it is not yet clear how and under what conditions it will be effective and efficient, within 4 years more than half of the Belgian business applications and services will be deployed in a hybrid cloud environment.
The integration of the hybrid cloud within the IT infrastructure is a key success factor when defining a hybrid cloud approach that links to private and public clouds. An optimized integration can only be defined and implemented after determining the criteria to select the most suitable cloud. Those criteria include workloads, security, expected performance, data sovereignty, costs...
NRB Hybrid Cloud approach will demonstrate how this integration can be rapidly defined and implemented. We will explain why and how to choose your cloud approach and show you the benefits of implementing a hybrid cloud strategy.
In this era of ever growing data, the need for analyzing it for meaningful business insights becomes more and more significant. There are different Big Data processing alternatives like Hadoop, Spark, Storm etc. Spark, however is unique in providing batch as well as streaming capabilities, thus making it a preferred choice for lightening fast Big Data Analysis platforms.
Big Data: Architecture and Performance Considerations in Logical Data LakesDenodo
This presentation explains in detail what a Data Lake Architecture looks like, how data virtualization fits into the Logical Data Lake, and goes over some performance tips. Also it includes an example demonstrating this model's performance.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/9Jwfu6.
Spark Summit Europe 2016 Keynote - Databricks CEO Databricks
Machine learning algorithm itself is rarely the main barrier in building AI applications. Instead, the real culprit is the set of complex systems that prepares large-scale training and test data for the ML algorithms.
Apache Spark is a huge leap forward in democratizing AI. However, it does not solve all the problems. Databricks CEO Ali Ghodsi explains how Databricks democratizes AI by making it easier to build end-to-end machine learning pipelines with Apache Spark.
Presentation created for Red Hat's Technical Event Series (Journey to the Cloud) in Australia & New Zealand, May 2015. Credit to Trevor Quinn for the Cloud Enabled Application techniques.
Sudarshan Kadambi presented this talk at the Bay Area Spark Meetup @ Bloomberg. He covered Bloomberg Apache Spark Server and contributions to Apache Spark. The talk also talked about challenges of doing high-volume online analytics while still observing high-levels of SLAs
Spark Summit EU 2016: The Next AMPLab: Real-time Intelligent Secure ExecutionDatabricks
Committed to the goal of building open-source frameworks, tools, and algorithms that make building real-time applications decisions on live data with stronger security, The RISELab is set to innovate and enhance Spark
Hortonworks Technical Workshop: What's New in HDP 2.3Hortonworks
The recently launched HDP 2.3 is a major advancement of Open Enterprise Hadoop. It represents the best of community led development with innovations spanning Apache Hadoop, Apache Ambari, Ranger, HBase, Spark and Storm. In this session we will provide an in-depth overview of new functionality and discuss it's impact on new and ongoing big data initiatives.
Trending use cases have pointed out the complementary nature of Hadoop and existing data management systems—emphasizing the importance of leveraging SQL, engineering, and operational skills, as well as incorporating novel uses of MapReduce to improve distributed analytic processing. Many vendors have provided interfaces between SQL systems and Hadoop but have not been able to semantically integrate these technologies while Hive, Pig and SQL processing islands proliferate. This session will discuss how Teradata is working with Hortonworks to optimize the use of Hadoop within the Teradata Analytical Ecosystem to ingest, store, and refine new data types, as well as exciting new developments to bridge the gap between Hadoop and SQL to unlock deeper insights from data in Hadoop. The use of Teradata Aster as a tightly integrated SQL-MapReduce® Discovery Platform for Hadoop environments will also be discussed.
Best leveraging your massive financial data with SAP HANA: SAP HANA provides your finance organization with deep insights into large volumes of financial data enabling smarter financial and managerial decisions. You can also empower your organization with true real-time to respond more quickly to financial exceptions and issues while also leveraging trusted data for more accurate planning and forecasting. Furthermore, SAP HANA allows faster analysis and reporting to help accelerate your key financial processes such as period-end closing.
With SAP HANA, you can significantly improve financial performance, better control risks and further increase productivity.
The Next Generation of Big Data AnalyticsHortonworks
Apache Hadoop has evolved rapidly to become a leading platform for managing and processing big data. If your organization is examining how you can use Hadoop to store, transform, and refine large volumes of multi-structured data, please join us for this session where we will discuss, the emergence of "big data" and opportunities for deriving business value, the evolution of Apache Hadoop and future directions, essential components required in a Hadoop-powered platform, and solution architectures that integrate Hadoop with existing data discovery and data warehouse platforms.
Big Data, Hadoop, Hortonworks and Microsoft HDInsightHortonworks
Big Data is everywhere. And at the center of the big data discussion is Apache Hadoop, a next-generation enterprise data platform that allows you to capture, process and share the enormous amounts of new, multi-structured data that doesn’t fit into transitional systems.
With Microsoft HDInsight, powered by Hortonworks Data Platform, you can bridge this new world of unstructured content with the structured data we manage today. Together, we bring Hadoop to the masses as an addition to your current enterprise data architectures so that you can amass net new insight without net new headache.
The Comprehensive Approach: A Unified Information ArchitectureInside Analysis
The Briefing Room with Richard Hackathorn and Teradata
Slides from the Live Webcast on May 29, 2012
The worlds of Business Intelligence (BI) and Big Data Analytics can seem at odds, but only because we have yet to fully experience comprehensive approach to managing big data – a Unified Big Data Architecture. The dynamics continue to change as vendors begin to emphasize the importance of leveraging SQL, engineering and operational skills, as well as incorporating novel uses of MapReduce to improve distributed analytic processing.
Register for this episode of The Briefing Room to learn the value of taking a strategic approach for managing big data from veteran BI and data warehouse consultant Richard Hackathorn. He'll be briefed by Chris Twogood of Teradata, who will outline his company's recent advances in bridging the gap between Hadoop and SQL to unlock deeper insights and explain the role of Teradata Aster and SQL-MapReduce as a Discovery Platform for Hadoop environments.
For more information visit: http://www.insideanalysis.com
Watch us on YouTube: http://www.youtube.com/playlist?list=PL5EE76E2EEEC8CF9E
“Apache Hadoop, Now and Beyond”, Jim Walker, Director of Product Marketing, Hortonworks
Hadoop is an open source project that allows you to gain insight from massive amounts of structured and unstructured data quickly and without significant investment. It is shifting the way many traditional organizations think of analytics and business models. While it is deigned to take advantage of cheap commodity hardware, it is also perfect for the cloud as it is built to scale up or down without system interruption. In this presentation, Jim Walker will provide an overview of Apache Hadoop and its current state of adoption in and out of the cloud.
Introduction to Hortonworks Data Platform for WindowsHortonworks
According to IDC, Windows Servers run more than 50% of the servers in the Enterprise Data Center. Hortonworks has worked closely with Microsoft to port Apache Hadoop to Windows to enable organizations to take advantage of this emerging Big Data technology. Join us in this informative webinar to hear about the new Hortonworks Data Platform for Windows.
In less than an hour, you’ll learn:
-Key capabilities available in Hortonworks Data Platform for Windows
-How HDP for Windows integrates with Microsoft tools
-Key workloads and use cases for driving Hadoop today
Similar to SAP HANA and Apache Hadoop for Big Data Management (SF Scalable Systems Meetup) (20)
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
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
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.
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/
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.
3. SAP REAL-TIME DATA PLATFORM
A GAME-CHANGER
SAP real time data platform
Open APIs and Protocols
Federated Access
Common Landscape
Common Design &
Transactional In-Memory Analytics
Environment
Environment
Mobile Data
Modelling
Data Data EDW Data
Management
Management Management Management
Information Management & Real-Time Data Movement