In this slidecast, Richard Treadway and Rich Seger from NetApp discuss the company's storage solutions for Big Data and HPC. The company's HPC solutions for Lustre support massive performance and storage density without sacrificing efficiency.
Brian Brownlow is an experienced senior analyst programmer for Mayo Clinic. He is made a workshop presentation at the 2014 BDPA Technology Conference on the topic, 'Big Data Implementation - Mayo Clinic Case Study'. This presentation will show part of the Mayo Clinic story on the embarking of an exploration of the application of `Big Data' technologies. `Big Data' is seen as one set of tools that can be used to enhance medical research, medical education and practice management. Mayo Clinic is always searching for better, faster and cheaper ways to use its data to improve patient care and sustain financial outcomes in a challenging reimbursement environment. Our approach uses several components that are open source and combines them with data from various sources to provide information to decision makers in near real time. We have created a center of `Big Data' excellence using in-house staff and vendor engagements. `Big Data' is one element of our Enterprise Data Trust framework.
Introduction to Big Data Analytics on Apache HadoopAvkash Chauhan
In the age of Big Data and large volume analytics there is a lot to cover and a lot to learn. While at Microsoft developing Windows HDInsight and now developing a one of kind Big Data product at my own company Big Data Perspective, San Francisco I have lived last several years covering Big Data at various level. This talk is customized for database and business intelligence (BI) professionals, programmers, Hadoop administrators, researchers, technical architects, operations engineers, data analysts, and data scientists understand the core concepts of Big Data Analytics on Hadoop. This webinar will be useful for those, who wants to know what is Hadoop, and how they can take advantage just by spending few dollars to run the cluster. The webinar is great for those who are looking to deploy their first data cluster and run MapReduce jobs to discover insights.
The Pandemic Changes Everything, the Need for Speed and ResiliencyAlluxio, Inc.
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
The Pandemic Changes Everything, the Need for Speed and Resiliency
Parviz Peiravi, Global CTO of Financial Services Solutions, Intel
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
Brian Brownlow is an experienced senior analyst programmer for Mayo Clinic. He is made a workshop presentation at the 2014 BDPA Technology Conference on the topic, 'Big Data Implementation - Mayo Clinic Case Study'. This presentation will show part of the Mayo Clinic story on the embarking of an exploration of the application of `Big Data' technologies. `Big Data' is seen as one set of tools that can be used to enhance medical research, medical education and practice management. Mayo Clinic is always searching for better, faster and cheaper ways to use its data to improve patient care and sustain financial outcomes in a challenging reimbursement environment. Our approach uses several components that are open source and combines them with data from various sources to provide information to decision makers in near real time. We have created a center of `Big Data' excellence using in-house staff and vendor engagements. `Big Data' is one element of our Enterprise Data Trust framework.
Introduction to Big Data Analytics on Apache HadoopAvkash Chauhan
In the age of Big Data and large volume analytics there is a lot to cover and a lot to learn. While at Microsoft developing Windows HDInsight and now developing a one of kind Big Data product at my own company Big Data Perspective, San Francisco I have lived last several years covering Big Data at various level. This talk is customized for database and business intelligence (BI) professionals, programmers, Hadoop administrators, researchers, technical architects, operations engineers, data analysts, and data scientists understand the core concepts of Big Data Analytics on Hadoop. This webinar will be useful for those, who wants to know what is Hadoop, and how they can take advantage just by spending few dollars to run the cluster. The webinar is great for those who are looking to deploy their first data cluster and run MapReduce jobs to discover insights.
The Pandemic Changes Everything, the Need for Speed and ResiliencyAlluxio, Inc.
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
The Pandemic Changes Everything, the Need for Speed and Resiliency
Parviz Peiravi, Global CTO of Financial Services Solutions, Intel
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
Enabling the Software Defined Data Center for Hybrid ITNetApp
Recently, NetApp held a Cloud Breakfast for customers of our High Touch Customer Program. This was a combined presentation from OBS, VMware and NetApp.
Presenters:
Jim Sangster, Senior Director, Solutions Marketing, NetApp - "Cloud for the Hybrid Data Center"
John Gilmartin, Vice President, Cloud Infrastructure Products, VMware - "Next Generation of IT"
Axel Haentjens Vice President, Marketing and International Orange Cloud for Business "NetApp Epic Story OBS"
Tim Waldron, Manager, Cloud Solutions, NetApp EMEA "Cloud Services – An EMEA Perspective"
Hybrid Data Lake Architecture with Presto & Spark in the cloud accessing on-p...Alluxio, Inc.
Alluxio Community Office Hour
September 29, 2020
For more Alluxio events: https://www.alluxio.io/events/
Speaker(s):
Adit Madan, Alluxio
In this talk, we describe the architecture to migrate analytics workloads incrementally to any public cloud (AWS, Google Cloud Platform, or Microsoft Azure) directly on on-prem data without copying the data to cloud storage.
In this Office Hour:
- We will go over an architecture for running elastic compute clusters in the cloud using on-prem HDFS.
- Have a casual online video chat with Alluxio Open Source core maintainers to address any Alluxio related questions from our community members
A very high-level introduction to scaling out wth Hadoop and NoSQL combined with some experiences on my current project. I gave this presentation at the JFall 2009 conference in the Netherlands
VMworld 2013: Big Data Extensions: Advanced Features and Customer Case Study VMworld
VMworld 2013
Jayanth Gummaraju, VMware
Sasha Kipervarg, Identified, Inc.
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
How Big Data and Hadoop Integrated into BMC ControlM at CARFAXBMC Software
Learn how CARFAX utilized the power of Control-M to help drive big data processing via Cloudera. See why it was a no-brainer to choose Control-M to help manage workflows through Hadoop, some of the challenges faced, and the benefits the business received by using an existing, enterprise-wide workload management system instead of choosing “yet another tool.”
Hitachi Unified Storage 100 family systems consolidate and manage block, file and object data on a central platform. For more information on our unified storage please visit: http://www.hds.com/products/storage-systems/hitachi-unified-storage-100-family.html?WT.ac=us_mg_pro_hus100
Can data virtualization uphold performance with complex queries?Denodo
Watch full webinar here: https://bit.ly/2JzypTx
There are myths about data virtualization that are based on misconceptions and even falsehoods. These myths can confuse and worry people who - quite rightly - look at data virtualization as a critical technology for a modern, agile data architecture.
We've decided that we need to set the record straight, so we put together this webinar series. It's time to bust a few myths!
In the first webinar of the series, we’ll be busting the 'performance' myth. “What about performance?” is usually the first question that we get when talking to people about data virtualization. After all, the data virtualization layer sits between you and your data, so how does this affect the performance of your queries? Sometimes the myth is perpetuated by people with alternative solutions…the ‘Put all your data in our Cloud and everything will be fine. Data virtualization? Nah, you don’t need that! It can't handle big queries anyway,’ type of thing.
Join us for this webinar to look at the basis of the 'performance' myth and examine whether there is any underlying truth to it.
Hadoop has showed itself as a great tool in resolving problems with different data aspects as Data Velocity, Variety and Volume, that are causing troubles to relational database storage. In this presentation you'll learn what problems with data are occurring nowdays and how Hadoop can solve them . You'll learn about Hadop basic components and principles that make Hadoop such great tool.
Building intelligent applications, experimental ML with Uber’s Data Science W...DataWorks Summit
In this talk, we will explore how Uber enables rapid experimentation of machine learning models and optimization algorithms through Uber’s Data Science Workbench (DSW). DSW covers a series of stages in data scientists’ workflows including data exploration, feature engineering, machine learning model training, testing, and production deployment. DSW provides interactive notebooks for multiple languages with on-demand resource allocation and the ability to share their works through community features. It also has support for notebooks and intelligent applications backed by Spark job servers. Deep learning applications based on TensorFlow and Torch can be brought into DSW smoothly where resources management is taken care of by the system. The environment in DSW is customizable where users can bring their own libraries and frameworks. Moreover, DSW provides support for Shiny and Python dashboards as well as many other in-house visualization and mapping tools.
In the second part of this talk, we will explore the use cases where custom machine learning models developed in DSW are productionized within the platform. Uber applies machine learning extensively to solve some hard problems. Some use cases include calculating the right price for a ride for over 600 cities and applying NLP technologies to customer feedbacks to offer safe rides and reduce support costs. We will look at various options evaluated for productionizing custom models (server based and serverless). We will also look at how DSW integrates into the larger Uber’s ML ecosystem, model/feature stores, and other ML tools to realize the vision of a complete ML platform for Uber.
Speakers
Adam Hudson, Uber, Senior Software Engineer
Atul Gupte, Uber, Product Manager
Data Warehouse Modernization: Accelerating Time-To-Action MapR Technologies
Data warehouses have been the standard tool for analyzing data created by business operations. In recent years, increasing data volumes, new types of data formats, and emerging analytics technologies such as machine learning have given rise to modern data lakes. Connecting application databases, data warehouses, and data lakes using real-time data pipelines can significantly improve the time to action for business decisions. More: http://info.mapr.com/WB_MapR-StreamSets-Data-Warehouse-Modernization_Global_DG_17.08.16_RegistrationPage.html
Enabling the Software Defined Data Center for Hybrid ITNetApp
Recently, NetApp held a Cloud Breakfast for customers of our High Touch Customer Program. This was a combined presentation from OBS, VMware and NetApp.
Presenters:
Jim Sangster, Senior Director, Solutions Marketing, NetApp - "Cloud for the Hybrid Data Center"
John Gilmartin, Vice President, Cloud Infrastructure Products, VMware - "Next Generation of IT"
Axel Haentjens Vice President, Marketing and International Orange Cloud for Business "NetApp Epic Story OBS"
Tim Waldron, Manager, Cloud Solutions, NetApp EMEA "Cloud Services – An EMEA Perspective"
Hybrid Data Lake Architecture with Presto & Spark in the cloud accessing on-p...Alluxio, Inc.
Alluxio Community Office Hour
September 29, 2020
For more Alluxio events: https://www.alluxio.io/events/
Speaker(s):
Adit Madan, Alluxio
In this talk, we describe the architecture to migrate analytics workloads incrementally to any public cloud (AWS, Google Cloud Platform, or Microsoft Azure) directly on on-prem data without copying the data to cloud storage.
In this Office Hour:
- We will go over an architecture for running elastic compute clusters in the cloud using on-prem HDFS.
- Have a casual online video chat with Alluxio Open Source core maintainers to address any Alluxio related questions from our community members
A very high-level introduction to scaling out wth Hadoop and NoSQL combined with some experiences on my current project. I gave this presentation at the JFall 2009 conference in the Netherlands
VMworld 2013: Big Data Extensions: Advanced Features and Customer Case Study VMworld
VMworld 2013
Jayanth Gummaraju, VMware
Sasha Kipervarg, Identified, Inc.
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
How Big Data and Hadoop Integrated into BMC ControlM at CARFAXBMC Software
Learn how CARFAX utilized the power of Control-M to help drive big data processing via Cloudera. See why it was a no-brainer to choose Control-M to help manage workflows through Hadoop, some of the challenges faced, and the benefits the business received by using an existing, enterprise-wide workload management system instead of choosing “yet another tool.”
Hitachi Unified Storage 100 family systems consolidate and manage block, file and object data on a central platform. For more information on our unified storage please visit: http://www.hds.com/products/storage-systems/hitachi-unified-storage-100-family.html?WT.ac=us_mg_pro_hus100
Can data virtualization uphold performance with complex queries?Denodo
Watch full webinar here: https://bit.ly/2JzypTx
There are myths about data virtualization that are based on misconceptions and even falsehoods. These myths can confuse and worry people who - quite rightly - look at data virtualization as a critical technology for a modern, agile data architecture.
We've decided that we need to set the record straight, so we put together this webinar series. It's time to bust a few myths!
In the first webinar of the series, we’ll be busting the 'performance' myth. “What about performance?” is usually the first question that we get when talking to people about data virtualization. After all, the data virtualization layer sits between you and your data, so how does this affect the performance of your queries? Sometimes the myth is perpetuated by people with alternative solutions…the ‘Put all your data in our Cloud and everything will be fine. Data virtualization? Nah, you don’t need that! It can't handle big queries anyway,’ type of thing.
Join us for this webinar to look at the basis of the 'performance' myth and examine whether there is any underlying truth to it.
Hadoop has showed itself as a great tool in resolving problems with different data aspects as Data Velocity, Variety and Volume, that are causing troubles to relational database storage. In this presentation you'll learn what problems with data are occurring nowdays and how Hadoop can solve them . You'll learn about Hadop basic components and principles that make Hadoop such great tool.
Building intelligent applications, experimental ML with Uber’s Data Science W...DataWorks Summit
In this talk, we will explore how Uber enables rapid experimentation of machine learning models and optimization algorithms through Uber’s Data Science Workbench (DSW). DSW covers a series of stages in data scientists’ workflows including data exploration, feature engineering, machine learning model training, testing, and production deployment. DSW provides interactive notebooks for multiple languages with on-demand resource allocation and the ability to share their works through community features. It also has support for notebooks and intelligent applications backed by Spark job servers. Deep learning applications based on TensorFlow and Torch can be brought into DSW smoothly where resources management is taken care of by the system. The environment in DSW is customizable where users can bring their own libraries and frameworks. Moreover, DSW provides support for Shiny and Python dashboards as well as many other in-house visualization and mapping tools.
In the second part of this talk, we will explore the use cases where custom machine learning models developed in DSW are productionized within the platform. Uber applies machine learning extensively to solve some hard problems. Some use cases include calculating the right price for a ride for over 600 cities and applying NLP technologies to customer feedbacks to offer safe rides and reduce support costs. We will look at various options evaluated for productionizing custom models (server based and serverless). We will also look at how DSW integrates into the larger Uber’s ML ecosystem, model/feature stores, and other ML tools to realize the vision of a complete ML platform for Uber.
Speakers
Adam Hudson, Uber, Senior Software Engineer
Atul Gupte, Uber, Product Manager
Data Warehouse Modernization: Accelerating Time-To-Action MapR Technologies
Data warehouses have been the standard tool for analyzing data created by business operations. In recent years, increasing data volumes, new types of data formats, and emerging analytics technologies such as machine learning have given rise to modern data lakes. Connecting application databases, data warehouses, and data lakes using real-time data pipelines can significantly improve the time to action for business decisions. More: http://info.mapr.com/WB_MapR-StreamSets-Data-Warehouse-Modernization_Global_DG_17.08.16_RegistrationPage.html
This page provides access to information about how to integrate Apache Hadoop with Lustre. We have made several enhancements to improve the use of Hadoop with Lustre and have conducted performance tests to compare the performance of Lustre vs. HDFS when used with Hadoop.
http://wiki.lustre.org/index.php/Integrating_Hadoop_with_Lustre
Every second of every day you hear about Electronic systems creating ever increasing quantities of data. Systems in markets such as finance, media, healthcare, government and scientific research feature strongly in the Big Data processing conversation. While extracting business value from Big Data is forecast to bring customer and competitive advantage and benefits. In this session hear Vas Kapsalis, NetApp Big Data Business Development Manager, discuss his views and experience on the wider world of Big Data.
Lessons learned processing 70 billion data points a day using the hybrid cloudDataWorks Summit
NetApp receives 70 billion data points of telemetry information each day from its customer’s storage systems. This telemetry data contains configuration information, performance counters, and logs. All of this data is processed using multiple Hadoop clusters, and feeds a machine learning pipeline and a data serving infrastructure that produces insights for customers via an application called Active IQ. We describe the evolution of our Hadoop infrastructure from a traditional on-premises architecture to the hybrid cloud, and lessons learned.
We’ll discuss the insights we are able to produce for our customers, and the techniques used. Finally, we describe the data management challenges with our multi-petabyte Hadoop data lake. We solved these problems by building a unified data lake on-premises and using the NetApp Data Fabric to seamlessly connect to public clouds for data science and machine learning compute resources.
Architecting a truly hybrid cloud implementation allowed NetApp to free up our data scientists to use any software on any cloud, kept the customer log data safe on NetApp Private Storage in Equinix, resulted in faster ability to innovate and release new code and provided flexibility to use any public cloud at the same time with data on NetApp in Equinix.
Speaker
Pranoop Erasani, NetApp, Senior Technical Director, ONTAP
Shankar Pasupathy, NetApp, Technical Director, ACE Engineering
Hadoop’s capabilities offer untapped potential for business insights but companies often get weighed down with DIY platforms and fail to keep up with the requirements. Join this Dell EMC session which will address this challenge with ready bundles to quickly deliver solutions for ETL offload, Single View, & IoT.
Get more value from your big data:
• Deploy big data applications faster
• Increase business agility
• Confidently deliver high performance and endless scale
• Improve IT operational efficiency
Speaker
Shawn Smith, Big Data Specialist, Dell EMC
Netapp Evento Virtual Business Breakfast 20110616Bruno Banha
Apresentação efectuada pela Netapp no evento Virtual Business Breakfast, realizado no dia 16 de Junho de 2011, no Porto.
O evento realizado em conjunto com a VMware e a NextiraOne Portugal.
Introducing the Big Data Ecosystem with Caserta Concepts & TalendCaserta
In this one-hour webinar, Caserta Concepts and Talend described an approach to achieve an architectural framework and roadmap to extend a traditional enterprise data warehouse environment, into a Big Data ecosystem.
They illustrated the architectural components involved for collecting, analyzing and delivering Big Data, with a focus on the importance of Hadoop, Data Integration, Machine Learning, NoSQL, Business Intelligence and Analytics.
Attendees learned:
Which Big Data technologies can’t be ignored
Considerations when extending the data ecosystem
What happens to your existing investment
What are the points of integration
Does Big Data = better data?
To find access the recorded webinar or to learn more, visit http://www.casertaconcepts.com/.
Exploring the Wider World of Big Data- Vasalis KapsalisNetAppUK
Every second of every day you hear about Electronic systems creating ever increasing quantities of data. Systems in markets such as finance, media, healthcare, government and scientific research feature strongly in the Big Data processing conversation. While extracting business value from Big Data is forecast to bring customer and competitive advantage and benefits. In this session hear Vas Kapsalis, NetApp Big Data Business Development Manager, discuss his views and experience on the wider world of Big Data.
Verizon Centralizes Data into a Data Lake in Real Time for AnalyticsDataWorks Summit
Verizon – Global Technology Services (GTS) was challenged by a multi-tier, labor-intensive process when trying to migrate data from disparate sources into a data lake to create financial reports and business insights. Join this session to learn more about how Verizon:
• Easily accessed data from multiple sources including SAP data
• Ingested data into major targets including Hadoop
• Achieved real-time insights from data leveraging change data capture (CDC) technology
• Reduced costs and labor
NVidia and Kinetica presented together about the trends in GPU use cases across industries. The basics and GPU architecture was discussed and how it compares with ASIC and FPGA.
Kinetica presented their In-Memory Database Platform powered by GPU which provides capabilities for fast analytics, geospatial analytics and realtime ML/Deep Learning execution engine.
Hadoop World 2011: How Hadoop Revolutionized Business Intelligence and Advanc...Cloudera, Inc.
"Amr Awadallah served as the VP of Engineering of Yahoo's Product
Intelligence Engineering (PIE) team for a number of years. The PIE
team was responsible for business intelligence and advanced data
analytics across a number of Yahoo's key consumer facing properties (search, mail, news, finance, sports, etc). Amr will share the data architecture that PIE had implementted before Hadoop was deployed and the headaches that architecture entailed. Amr will then show how most, if not all of these headaches were eliminated once Hadoop was deployed. Amr will illustrate how Hadoop and Relational Database complement each other within the traditional business intelligence data stack, and how that enables organizations to access all their data under different
operational and economic constraints."
Data is the fuel for the idea economy, and being data-driven is essential for businesses to be competitive. HPE works with all the Hadoop partners to deliver packaged solutions to become data driven. Join us in this session and you’ll hear about HPE’s Enterprise-grade Hadoop solution which encompasses the following
-Infrastructure – Two industrialized solutions optimized for Hadoop; a standard solution with co-located storage and compute and an elastic solution which lets you scale storage and compute independently to enable data sharing and prevent Hadoop cluster sprawl.
-Software – A choice of all popular Hadoop distributions, and Hadoop ecosystem components like Spark and more. And a comprehensive utility to manage your Hadoop cluster infrastructure.
-Services – HPE’s data center experts have designed some of the largest Hadoop clusters in the world and can help you design the right Hadoop infrastructure to avoid performance issues and future proof you against Hadoop cluster sprawl.
-Add-on solutions – Hadoop needs more to fill in the gaps. HPE partners with the right ecosystem partners to bring you solutions such an industrial grade SQL on Hadoop with Vertica, data encryption with SecureData, SAP ecosystem with SAP HANA VORA, Multitenancy with Blue Data, Object storage with Scality and more.
DevOps the NetApp Way: 10 Rules for Forming a DevOps TeamNetApp
Does your enterprise IT organization practice DevOps without a common team approach? To create a standardized way for development and operations teams to work together at NetApp, the IT team differentiates a DevOps team from a regular development team based on these 10 rules.
Spot Lets NetApp Get the Most Out of the CloudNetApp
Prior to NetApp acquiring Spot.io, two of its IT teams had adopted Spot in their operations: Product Engineering for Cloud Volumes ONTAP test automation and NetApp IT for corporate business applications. Check out the results in this infographic.
NetApp has fully embraced tools that allow for seamless, collaborative work from home, and as a result was fully prepared to minimize COVID-19's impact on how we conduct business. Check out this infographic for a look at results from the new remote work reality.
4 Ways FlexPod Forms the Foundation for Cisco and NetApp SuccessNetApp
At Cisco and NetApp, seeing our customers succeed in their digital transformations means that we’ve succeeded too. But that’s only one of the ways we measure our performance. What’s another way? Hearing how our wide-ranging IT support helps Cisco and NetApp thrive. Here’s what makes FlexPod an indispensable part of Cisco’s and NetApp’s IT departments.
With the widespread adoption of hybrid multicloud as the de-facto architecture for the enterprise, organizations everywhere are modernizing to deliver tangible business value around data-intensive applications and workloads such as AI-driven IoT and Hyperledgers. Shifting from on-premises to public cloud services, private clouds, and moving from disk to flash – sometimes concurrently – opens the door to enormous potential, but also the unintended consequence of IT complexity.
With the widespread adoption of hybrid multicloud as the de facto IT architecture for the enterprise, organizations everywhere are modernizing to deliver tangible business value around data-intensive applications and workloads such as AI-driven IoT and indelible ledgers.
10 Reasons Why Your SAP Applications Belong on NetAppNetApp
NetApp has been supporting SAP for 20 years, delivering advanced solutions for SAP applications. Here are 10 reasons why your SAP applications belong on NetApp!
Redefining HCI: How to Go from Hyper Converged to Hybrid Cloud InfrastructureNetApp
The hyper converged infrastructure (HCI) market is entering a new phase of maturity. A modern HCI solution requires a private cloud platform that integrates with public clouds to create a consistent hybrid multi-cloud experience.
During this webinar, NetApp and an IDC guest speaker covered what led to the next generation of hyper converged infrastructure and which five capabilities are required to go from hyper converged to hybrid cloud infrastructure.
As we enter 2019, what stands out is how trends in business and technology are connected by common themes. For example, AI is at the heart of trends in development, data management, and delivery of applications and services at the edge, core, and cloud. Also essential are containerization as a critical enabling technology and the increasing intelligence of IoT devices at the edge. Navigating the tempests of transformation are developers, whose requirements are driving the rapid creation of new paradigms and technologies that they must then master in pursuit of long-term competitive advantage. Here are some of our perspectives and predictions for 2019.
Künstliche Intelligenz ist in deutschen Unter- nehmen ChefsacheNetApp
Einer aktuellen Umfrage des führenden Datenma- nagementspezialisten in der Hybrid Cloud NetApp zufolge gewinnt künstliche Intelligenz (KI) in deut- schen Unternehmen zunehmend an Relevanz.
Iperconvergenza come migliora gli economics del tuo ITNetApp
In this NetApp Webinar we present how NetApp HCI helps improve the economics of IT: accelerating and ensuring performance for each application, simplifying your Data Center and make your architecture more scalable by reducing waste, implementing and expanding your HCI infrastructure quickly and inexpensively, making your management even simpler and more intuitive, saving time and using the skills you already have in the company.
NetApp IT’s Tiered Archive Approach for Active IQNetApp
NetApp AutoSupport technology proactively monitors the health of NetApp systems installed at customer’s location and provides 24/7 actionable intelligence to optimize their storage environment. The amount of data received back to NetApp doubles approximately every 16 months. To manage the swelling waves of data to archive, NetApp IT sought a more flexible solution.
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.
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
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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/
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.
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
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
Big Data and HPC
1. NetApp:
Big Data and HPC
Richard Treadway
Director, NetApp Big Data Marketing
Rich Seger
Director, NetApp Vertical Solutions
NetApp Confidential – Limited Use
2. Data Growth Impact on Business
Complexity
“Big Data” refers to datasets whose size is
beyond the ability of typical tools to capture,
store, manage and analyze
Speed Volume
Information Becomes
a Propellant to Business
Business Velocity
Inflection
Point Data Becomes a
Burden to IT Infrastructure
2010 2020
2
3. NetApp’s Approach to Big Data
Insight from extremely
large datasets
Big
Data
Secure boundless Performance for data
data storage intensive workloads
3
4. NetApp Big Data Strategy
Best of breed storage for Big Data
Open
Applications
Best-of-Breed
Create preference through deep
Choice integration and value add
– NVA
Build on open standards with best-
in-class partnerships
Validate with Ecosystem Leaders
– Complete server, network and storage
“Racks”
– Delivered via trusted high-value partners
4
5. NetApp Storage Portfolio
Data ONTAP 8: E-Series:
Revolutionizing storage with Performance-optimized
an agile data infrastructure for dedicated workloads
NetApp Confidential – Limited Use 5
6. NetApp E-Series
Dedicated Infrastructure
• Application-specific or workload-specific
• Optimized for performance
and density
• Storage as a dedicated resource
• Data management in the application layer
Example Workloads
• High performance computing
• Research & analysis
• Simulation & modeling
• Seismic processing
• Business Analytics
• Multi-stream media workflows
• Digital video ingest
• Long-term retention/large-scale archive
NetApp Confidential – Limited Use
7. NetApp E-Series Updates
What’s New
NetApp SANtricity Software Update
E5400
New SSD cache improves performance and enables
intelligent storage tiering
Additional mirroring, copy service techniques, and
dynamic disk pools help secure data
New multiple interface support for E5400 systems,
including 10Gb/s iSCSI and 6Gb/s SAS networks
NetApp Confidential - Limited Use 7
8. Big Data: Bandwidth Portfolio
HPC: Lustre & Seismic Video Surveillance Storage
Massively parallel
High bandwidth &
distributed file density supporting
system for large scale hundreds or thousands
cluster computing and of HD cameras
O&G Seismic
Processing
Media Content Management Full Motion Video
High ingest & play-out Scalable density and
rates with support for performance to ingest
media and and simultaneously
entertainment analyze UAV and
workflows satellite video data
8
9. New HPC Solution: HPS Rack
What’s New
Built on NetApp E-Series
NetApp E-Series
Prepackaged and Configured HPC Storage Solution
Includes preconfigured servers, management and
monitoring software, and the open-source Lustre
parallel file system
Integrated with Terascala Lustrestack
NetApp Confidential - Limited Use 9
10. HPC & Big Data
Performance to meet the needs
of the world’s fastest
Supercomputers
– Lawrence Livermore National
Labs Sequoia Supercomputer
powered by NetApp E-Series
and Lustre
NetApp Storage Solutions are
addressing the worlds most
difficult data challenges
As Big Data becomes more
commercially driven, having an
open platform provides more
flexibility and choice for long-
term success
NetApp Confidential – Limited Use 10