Snowflake's Cloud Data Platform provides a fully managed data warehouse as a service. It offers elastic scaling of storage and compute independently, with multiple clusters accessing a shared set of data. Its architecture separates storage, compute, and services across independent cloud infrastructure for high availability and resilience. Snowflake handles all data management tasks and provides automatic scaling and updates with no downtime.
Delivering Data Democratization in the Cloud with SnowflakeKent Graziano
This is a brief introduction to Snowflake Cloud Data Platform and our revolutionary architecture. It contains a discussion of some of our unique features along with some real world metrics from our global customer base.
Demystifying Data Warehousing as a Service (GLOC 2019)Kent Graziano
Extended deck from the 2019 GLOC event in Cleveland. Discusses what a DWaaS is, the top 10 features of Snowflake that represent that, and a check list for what questions to ask when choosing a cloud based data warehouse.
Prezentace z webináře dne 10.3.2022
Prezentovali:
Jaroslav Malina - Senior Channel Sales Manager, Oracle
Josef Krejčí - Technology Sales Consultant, Oracle
Josef Šlahůnek - Cloud Systems sales Consultant, Oracle
Snowflake: Your Data. No Limits (Session sponsored by Snowflake) - AWS Summit...Amazon Web Services
Struggling to keep up with an ever-increasing demand for data at your organisation? Do you spend hours tinkering with your streaming data pipelines? Does that one data scientist with direct EDW access keep you up at night? Introducing Snowflake, a brand new SQL data warehouse built for the cloud. We’ve designed and implemented a unique cloud-based architecture that addresses the most common shortcomings of existing data solutions. With Snowflake, you can unlock unlimited concurrency, enable instant scalability, and take advantage of built-in tuning and optimisation. Join us and find out what Netflix, Adobe, and Nike all have in common.
Delivering Data Democratization in the Cloud with SnowflakeKent Graziano
This is a brief introduction to Snowflake Cloud Data Platform and our revolutionary architecture. It contains a discussion of some of our unique features along with some real world metrics from our global customer base.
Demystifying Data Warehousing as a Service (GLOC 2019)Kent Graziano
Extended deck from the 2019 GLOC event in Cleveland. Discusses what a DWaaS is, the top 10 features of Snowflake that represent that, and a check list for what questions to ask when choosing a cloud based data warehouse.
Prezentace z webináře dne 10.3.2022
Prezentovali:
Jaroslav Malina - Senior Channel Sales Manager, Oracle
Josef Krejčí - Technology Sales Consultant, Oracle
Josef Šlahůnek - Cloud Systems sales Consultant, Oracle
Snowflake: Your Data. No Limits (Session sponsored by Snowflake) - AWS Summit...Amazon Web Services
Struggling to keep up with an ever-increasing demand for data at your organisation? Do you spend hours tinkering with your streaming data pipelines? Does that one data scientist with direct EDW access keep you up at night? Introducing Snowflake, a brand new SQL data warehouse built for the cloud. We’ve designed and implemented a unique cloud-based architecture that addresses the most common shortcomings of existing data solutions. With Snowflake, you can unlock unlimited concurrency, enable instant scalability, and take advantage of built-in tuning and optimisation. Join us and find out what Netflix, Adobe, and Nike all have in common.
How to Take Advantage of an Enterprise Data Warehouse in the CloudDenodo
Watch full webinar here: [https://buff.ly/2CIOtys]
As organizations collect increasing amounts of diverse data, integrating that data for analytics becomes more difficult. Technology that scales poorly and fails to support semi-structured data fails to meet the ever-increasing demands of today’s enterprise. In short, companies everywhere can’t consolidate their data into a single location for analytics.
In this Denodo DataFest 2018 session we’ll cover:
Bypassing the mandate of a single enterprise data warehouse
Modern data sharing to easily connect different data types located in multiple repositories for deeper analytics
How cloud data warehouses can scale both storage and compute, independently and elastically, to meet variable workloads
Presentation by Harsha Kapre, Snowflake
Standing on the Shoulders of Open-Source Giants: The Serverless Realtime Lake...HostedbyConfluent
"Unlike just a few years ago, today the lakehouse architecture is an established data platform embraced by all major cloud data companies such as AWS, Azure, Google, Oracle, Microsoft, Snowflake and Databricks.
This session kicks off with a technical, no-nonsense introduction to the lakehouse concept, dives deep into the lakehouse architecture and recaps how a data lakehouse is built from the ground up with streaming as a first-class citizen.
Then we focus on serverless for streaming use cases. Serverless concepts are well-known from developers triggering hundreds of thousands of AWS Lambda functions at a negligible cost. However, the same concept becomes more interesting when looking at data platforms.
We have all heard about the principle ""It runs best on Powerpoint"", so I decided to skip slides here and bring a serverless demo instead:
A hands-on, fun, and interactive serverless streaming use case example where we ingest live events from hundreds of mobile devices (don't miss out - bring your phone and be part of it!!). Based on this use case I will critically explore how much of a modern lakehouse is serverless and how we implemented that at Databricks (spoiler alert: serverless is everywhere from data pipelines, workflows, optimized Spark APIs, to ML).
TL;DR benefits for the Data Practitioners:
-Recap the OSS foundation of the Lakehouse architecture and understand its appeal
- Understand the benefits of leveraging a lakehouse for streaming and what's there beyond Spark Structured Streaming.
- Meat of the talk: The Serverless Lakehouse. I give you the tech bits beyond the hype. How does a serverless lakehouse differ from other serverless offers?
- Live, hands-on, interactive demo to explore serverless data engineering data end-to-end. For each step we have a critical look and I explain what it means, e.g for you saving costs and removing operational overhead."
Data-Centric Infrastructure for Agile DevelopmentDATAVERSITY
Most data centers are filled with rigid data servers that are tightly linked to specific applications, leading to data duplication, lengthy development cycles, and unnecessary costs. Learn how you can use an Enterprise NoSQL database platform to help create a flexible, agile data fabric that will allow you to iterate your application development, optimize your data, and reduce costs.
When your enterprise infrastructure is data-centric instead of application-centric, you make it easy for anyone to pull crucial data without spending unnecessary time and money on plumbing...freeing resources for building better applications. Learn how other companies have built –and benefited from– a data-centric infrastructure for agile development.
Ingest and manage all your data, documents, and semantic triples in a flexible, schema-agnostic platform – without sacrificing the ACID transactions, granular security, database management tools and other features you’ve come to expect in a mature database platform
Quickly build complex, interactive search applications
Deliver robust, real-time search and alerting within your applications
Use – and optimize – modern infrastructure including Hadoop and cloud to attain operational agility
Simplify implementation of data governance requirements around security, privacy, provenance, retention, continuity, and compliance – while reducing risk, cost, and time
[OpenStack Day in Korea 2015] Keynote 2 - Leveraging OpenStack to Realize the...OpenStack Korea Community
OpenStack Day in Korea 2015 - Keynote 2
Leveraging OpenStack to Realize the SKT Software-Defined Data Center
Jinsung Choi, Ph.D - CTO, Corporate R&D Center, SK Telecom
SentinelOne-Connector-For-Fortinet-Launch-Deck-Final.pptx
Optimizing slideshow...
SentinelOne-Connector-For-Fortinet-Launch-Deck-Final.pptx
Optimizing slideshow...
SentinelOne-Connector-For-Fortinet-Launch-Deck-Final.pptx
Optimizing slideshow...
SentinelOne-Connector-For-Fortinet-Launch-Deck-Final.pptx
Optimizing slideshow...
SentinelOne-Connector-For-Fortinet-Launch-Deck-Final.pptx
Optimizing slideshow...
SentinelOne-Connector-For-Fortinet-Launch-Deck-Final.pptx
Optimizing slideshow...
the advanced robot went over the hill to find the bunker filled with explosives
Oracle Autonomous Data Warehouse Cloud and Data VisualizationEdelweiss Kammermann
With the release of the Oracle Autonomous Datawarehouse Cloud service Oracle offers a simple way to create a DW in the cloud with fast query performance and fully managed service requiring no human effort for database tuning
In this session we will see how easily we can create an Autonomous Data Warehouse Cloud instance and start loading data with SQL Developer 18. We will see the details to connect from DV to analyze your data in a very intuitive way for exploration and finding patterns.
In the digital world, semi-structured data is as important as transactional, structured data. Both need to be analyzed to create a competitive advantage. Unfortunately, neither the data lake nor the data warehouse are adequate to handle the analysis of both data types.
These slides—based on the webinar from EMA Research and Vertica—delve into the push toward the innovative unified analytics warehouse (UAW), a merging of the data lake and data warehouse.
Data Virtualization for Data Architects (New Zealand)Denodo
Watch full webinar here: https://bit.ly/3ogCJKC
Success or failure in the digital age will be determined by how effectively organisations manage their data. The speed, diversity and volume of data present today can overwhelm older data architectures, leaving business leaders lacking the insight and operational agility needed to respond to market opportunity or competitive challenges.
With the pace of today’s business, modernisation of a data architecture must be seamless, and ideally, built on existing capabilities. This webinar explores how data virtualization can help provide a seamless evolution to the capabilities of an existing data architecture without business disruption.
You will discover:
How to modernise your data architectures without disturbing the existing analytical workload
- How to extend your data architecture to more quickly exploit existing, and new sources of data
- How to enable your data architecture to present more low latency data
Comment développer une stratégie Big Data dans le cloud public avec l'offre P...Cloudera, Inc.
Le cloud public est une proposition attractive pour les entreprises à la recherche d’agilité dans leurs projets big data, qu’il s’agisse de traiter des données en masse ou d’y exécuter des analyses complexes pour une meilleure prise de décision.
Introducing Cloudera DataFlow (CDF) 2.13.19Cloudera, Inc.
Watch this webinar to understand how Hortonworks DataFlow (HDF) has evolved into the new Cloudera DataFlow (CDF). Learn about key capabilities that CDF delivers such as -
-Powerful data ingestion powered by Apache NiFi
-Edge data collection by Apache MiNiFi
-IoT-scale streaming data processing with Apache Kafka
-Enterprise services to offer unified security and governance from edge-to-enterprise
Self Service Analytics and a Modern Data Architecture with Data Virtualizatio...Denodo
Watch full webinar here: https://bit.ly/32TT2Uu
Data virtualization is not just for self-service, it’s also a first-class citizen when it comes to modern data platform architectures. Technology has forced many businesses to rethink their delivery models. Startups emerged, leveraging the internet and mobile technology to better meet customer needs (like Amazon and Lyft), disrupting entire categories of business, and grew to dominate their categories.
Schedule a complimentary Data Virtualization Discovery Session with g2o.
Traditional companies are still struggling to meet rising customer expectations. During this webinar with the experts from g2o and Denodo we covered the following:
- How modern data platforms enable businesses to address these new customer expectation
- How you can drive value from your investment in a data platform now
- How you can use data virtualization to enable multi-cloud strategies
Leveraging the strategy insights of g2o and the power of the Denodo platform, companies do not need to undergo the costly removal and replacement of legacy systems to modernize their systems. g2o and Denodo can provide a strategy to create a modern data architecture within a company’s existing infrastructure.
From the Data Work Out event:
Performant and scalable Data Science with Dataiku DSS and Snowflake
Managing the whole process of setting up a machine learning environment from end-to-end becomes significantly easier when using cloud-based technologies. The ability to provision infrastructure on demand (IaaS) solves the problem of manually requesting virtual machines. It also provides immediate access to compute resources whenever they are needed. But that still leaves the administrative overhead of managing the ML software and the platform to store and manage the data.
A fully managed end-to-end machine learning platform like Dataiku Data Science Studio (DSS) that enables data scientists, machine learning experts, and even business users to quickly build, train and host machine learning models at scale, needs to access data from many different sources and can also access data provided by Snowflake. Storing data in Snowflake has three significant advantages: a single source of truth, shorten the data preparation cycle, scale as you go.
Data Warehouse - Incremental Migration to the CloudMichael Rainey
A data warehouse (DW) migration is no small undertaking, especially when moving from on-premises to the cloud. A typical data warehouse has numerous data sources connecting and loading data into the DW, ETL tools and data integration scripts performing transformations, and reporting, advanced analytics, or ad-hoc query tools accessing the data for insights and analysis. That’s a lot to coordinate and the data warehouse cannot be migrated all at once. Using a data replication technology such as Oracle GoldenGate, the data warehouse migration can be performed incrementally by keeping the data in-sync between the original DW and the new, cloud DW. This session will dive into the steps necessary for this incremental migration approach and walk through a customer use case scenario, leaving attendees with an understanding of how to perform a data warehouse migration to the cloud.
Presented at RMOUG Training Days 2019
Power BI Gateway: Understanding, Installing, ConfiguringSenturus
Learn how to use the Power BI gateway as a bridge between your on-premises data and your Microsoft cloud tools. Find out what the Power BI gateway is and how it works, how to install it on a local machine, and how to configure your Power BI service to use the gateway. See the recording and download this deck: https://senturus.com/resources/installing-configuring-power-bi-gateway/
Senturus offers a full spectrum of services for business analytics. Our Knowledge Center has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: https://senturus.com/resources/
Learn how to improve the performance of your Cognos environment. We cover hardware and server specifics, architecture setup, dispatcher tuning, report specific tuning including the Interactive Performance Assistant and more. See the recording and download this deck: https://senturus.com/resources/cognos-analytics-performance-tuning/
Senturus offers a full spectrum of services for business analytics. Our Knowledge Center has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: https://senturus.com/resources/
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Watch full webinar here: [https://buff.ly/2CIOtys]
As organizations collect increasing amounts of diverse data, integrating that data for analytics becomes more difficult. Technology that scales poorly and fails to support semi-structured data fails to meet the ever-increasing demands of today’s enterprise. In short, companies everywhere can’t consolidate their data into a single location for analytics.
In this Denodo DataFest 2018 session we’ll cover:
Bypassing the mandate of a single enterprise data warehouse
Modern data sharing to easily connect different data types located in multiple repositories for deeper analytics
How cloud data warehouses can scale both storage and compute, independently and elastically, to meet variable workloads
Presentation by Harsha Kapre, Snowflake
Standing on the Shoulders of Open-Source Giants: The Serverless Realtime Lake...HostedbyConfluent
"Unlike just a few years ago, today the lakehouse architecture is an established data platform embraced by all major cloud data companies such as AWS, Azure, Google, Oracle, Microsoft, Snowflake and Databricks.
This session kicks off with a technical, no-nonsense introduction to the lakehouse concept, dives deep into the lakehouse architecture and recaps how a data lakehouse is built from the ground up with streaming as a first-class citizen.
Then we focus on serverless for streaming use cases. Serverless concepts are well-known from developers triggering hundreds of thousands of AWS Lambda functions at a negligible cost. However, the same concept becomes more interesting when looking at data platforms.
We have all heard about the principle ""It runs best on Powerpoint"", so I decided to skip slides here and bring a serverless demo instead:
A hands-on, fun, and interactive serverless streaming use case example where we ingest live events from hundreds of mobile devices (don't miss out - bring your phone and be part of it!!). Based on this use case I will critically explore how much of a modern lakehouse is serverless and how we implemented that at Databricks (spoiler alert: serverless is everywhere from data pipelines, workflows, optimized Spark APIs, to ML).
TL;DR benefits for the Data Practitioners:
-Recap the OSS foundation of the Lakehouse architecture and understand its appeal
- Understand the benefits of leveraging a lakehouse for streaming and what's there beyond Spark Structured Streaming.
- Meat of the talk: The Serverless Lakehouse. I give you the tech bits beyond the hype. How does a serverless lakehouse differ from other serverless offers?
- Live, hands-on, interactive demo to explore serverless data engineering data end-to-end. For each step we have a critical look and I explain what it means, e.g for you saving costs and removing operational overhead."
Data-Centric Infrastructure for Agile DevelopmentDATAVERSITY
Most data centers are filled with rigid data servers that are tightly linked to specific applications, leading to data duplication, lengthy development cycles, and unnecessary costs. Learn how you can use an Enterprise NoSQL database platform to help create a flexible, agile data fabric that will allow you to iterate your application development, optimize your data, and reduce costs.
When your enterprise infrastructure is data-centric instead of application-centric, you make it easy for anyone to pull crucial data without spending unnecessary time and money on plumbing...freeing resources for building better applications. Learn how other companies have built –and benefited from– a data-centric infrastructure for agile development.
Ingest and manage all your data, documents, and semantic triples in a flexible, schema-agnostic platform – without sacrificing the ACID transactions, granular security, database management tools and other features you’ve come to expect in a mature database platform
Quickly build complex, interactive search applications
Deliver robust, real-time search and alerting within your applications
Use – and optimize – modern infrastructure including Hadoop and cloud to attain operational agility
Simplify implementation of data governance requirements around security, privacy, provenance, retention, continuity, and compliance – while reducing risk, cost, and time
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With the release of the Oracle Autonomous Datawarehouse Cloud service Oracle offers a simple way to create a DW in the cloud with fast query performance and fully managed service requiring no human effort for database tuning
In this session we will see how easily we can create an Autonomous Data Warehouse Cloud instance and start loading data with SQL Developer 18. We will see the details to connect from DV to analyze your data in a very intuitive way for exploration and finding patterns.
In the digital world, semi-structured data is as important as transactional, structured data. Both need to be analyzed to create a competitive advantage. Unfortunately, neither the data lake nor the data warehouse are adequate to handle the analysis of both data types.
These slides—based on the webinar from EMA Research and Vertica—delve into the push toward the innovative unified analytics warehouse (UAW), a merging of the data lake and data warehouse.
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Watch full webinar here: https://bit.ly/3ogCJKC
Success or failure in the digital age will be determined by how effectively organisations manage their data. The speed, diversity and volume of data present today can overwhelm older data architectures, leaving business leaders lacking the insight and operational agility needed to respond to market opportunity or competitive challenges.
With the pace of today’s business, modernisation of a data architecture must be seamless, and ideally, built on existing capabilities. This webinar explores how data virtualization can help provide a seamless evolution to the capabilities of an existing data architecture without business disruption.
You will discover:
How to modernise your data architectures without disturbing the existing analytical workload
- How to extend your data architecture to more quickly exploit existing, and new sources of data
- How to enable your data architecture to present more low latency data
Comment développer une stratégie Big Data dans le cloud public avec l'offre P...Cloudera, Inc.
Le cloud public est une proposition attractive pour les entreprises à la recherche d’agilité dans leurs projets big data, qu’il s’agisse de traiter des données en masse ou d’y exécuter des analyses complexes pour une meilleure prise de décision.
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-IoT-scale streaming data processing with Apache Kafka
-Enterprise services to offer unified security and governance from edge-to-enterprise
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Schedule a complimentary Data Virtualization Discovery Session with g2o.
Traditional companies are still struggling to meet rising customer expectations. During this webinar with the experts from g2o and Denodo we covered the following:
- How modern data platforms enable businesses to address these new customer expectation
- How you can drive value from your investment in a data platform now
- How you can use data virtualization to enable multi-cloud strategies
Leveraging the strategy insights of g2o and the power of the Denodo platform, companies do not need to undergo the costly removal and replacement of legacy systems to modernize their systems. g2o and Denodo can provide a strategy to create a modern data architecture within a company’s existing infrastructure.
From the Data Work Out event:
Performant and scalable Data Science with Dataiku DSS and Snowflake
Managing the whole process of setting up a machine learning environment from end-to-end becomes significantly easier when using cloud-based technologies. The ability to provision infrastructure on demand (IaaS) solves the problem of manually requesting virtual machines. It also provides immediate access to compute resources whenever they are needed. But that still leaves the administrative overhead of managing the ML software and the platform to store and manage the data.
A fully managed end-to-end machine learning platform like Dataiku Data Science Studio (DSS) that enables data scientists, machine learning experts, and even business users to quickly build, train and host machine learning models at scale, needs to access data from many different sources and can also access data provided by Snowflake. Storing data in Snowflake has three significant advantages: a single source of truth, shorten the data preparation cycle, scale as you go.
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Senturus offers a full spectrum of services across the BI stack plus training on Power BI, Cognos and Tableau. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
Power BI Report Builder & Paginated Reports Senturus
Learn how to use Power BI Report Builder to build paginated reports. Paginated reports allow you to control formatting exactly for delivery as a PDF or on paper, constraining tables to fit on a page and adding headers and footers. Watch the demos and download this deck at: https://senturus.com/resources/power-bi-report-builder-paginated-pixel-perfect-reports.
Senturus offers a full spectrum of services across the BI stack plus training on Power BI, Cognos and Tableau. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
Tableau: 6 Ways to Publish & Share DashboardsSenturus
See demos of the steps to take and learn the pros, cons and requirements for each option. We discuss Tableau Desktop, Tableau Public, Tableau Server, Tableau Metrics, Tableau mobile for publishing and sharing Tableau content. Watch the demos and download this deck at: https://senturus.com/resources/6-ways-to-publish-share-tableau-dashboards/.
Senturus offers a full spectrum of services across the BI stack plus training on Power BI, Cognos and Tableau. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
Demos of Cognos 11.2 new features such as dashboard performance Improvements, new home page customizations and onboarding experience, improved search functions, enhancements to AI assisted data exploration, natural language generation, natural language questions and new automated statistical forecasts. Watch the demos and download this deck at: https://senturus.com/resources/whats-new-in-cognos-analytics-11-2-0/.
Senturus offers a full spectrum of services across the BI stack plus training on Power BI, Cognos and Tableau. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
Azure Synapse vs. Snowflake: The Data Warehouse Dating GameSenturus
Learn the complexities and unique aspects of the two leading cloud-based data warehouse contenders that are most likely tugging at your heartstrings: Snowflake Data Cloud and Azure Synapse Analytics.
Deciding on one is a long-term commitment. Before you put on ring on it, watch the recording to see demos of each data cloud, learn similarities, strengths and weaknesses of each and get criteria to help determine which is the right choice for your organization. View our on-demand webinar and download this deck at: https://senturus.com/resources/azure-synapse-vs-snowflake-price-performance/
Senturus offers a full spectrum of services across the BI stack plus training on Power BI, Cognos and Tableau. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
Secrets of High Performing Report Development TeamsSenturus
Learn how BI teams build great reports consistently. We discuss how to improve report-building workflow and delivery rate while reducing mistakes. View our on-demand webinar and download this deck at: https://senturus.com/resources/secrets-of-high-performing-report-development-teams/.
Senturus offers a full spectrum of services across the BI stack plus training on Power BI, Cognos and Tableau. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
Power BI: Data Cleansing & Power Query EditorSenturus
Learn how to transform data into a format that aligns with the metrics you need. Power BI data cleansing technique demos include removing null values, removing columns, unpivoting data, add custom columns, merging queries and working with an M script. Watch the demos and download this deck at: https://senturus.com/resources/power-bi-data-cleansing-power-query-editor/
Senturus offers a full spectrum of services across the BI stack plus training on Power BI, Cognos and Tableau. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
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/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
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.
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.
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53. Full spectrum BI services
• Dashboards, reporting and visualizations
• Data preparation and modern data warehousing
• Hybrid BI environments (migrations, security, etc.)
• Software to enable bimodal BI and platform migrations
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54. A long, strong history of success
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56. Upcoming events
•Connecting to and prepping data in Power BI
•Pros & cons of four different data connection scenarios
•Thursday, Mar. 12, 2020, 11am PT/2pm ET
•Cognos 11.1.6
•Live Q&A with IBM offering manager
•Thursday, Apr. 16, 2020, 11am PT/2pm ET
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