This document summarizes a webinar on real-world applications of streaming analytics. It discusses case studies of companies in various industries using the StreamAnalytix platform for real-time analytics on large data streams. Examples include classifying 250 million messages per day for an intelligence company and monitoring response times for a healthcare application. The webinar focuses on business problems solved through streaming analytics and the StreamAnalytix product capabilities.
Future-Proof Your Streaming Analytics Architecture- StreamAnalytix WebinarImpetus Technologies
Future-Proof Your Streaming Analytics Architecture- StreamAnalytix Webinar
View the webcast on http://bit.ly/1HFD8YR
The speakers from Forrester and Impetus talk about the options and optimal architecture to incorporate real-time insights into your apps that provisions benefitting from future innovation also.
Real-time Streaming Analytics: Business Value, Use Cases and Architectural Co...Impetus Technologies
Impetus webcast ‘Real-time Streaming Analytics: Business Value, Use Cases and Architectural Considerations’ available at http://bit.ly/1i6OrwR
The webinar talks about-
• How business value is preserved and enhanced using Real-time Streaming Analytics with numerous use-cases in different industry verticals
• Technical considerations for IT leaders and implementation teams looking to integrate Real-time Streaming Analytics into enterprise architecture roadmap
• Recommendations for making Real-time Streaming Analytics – real – in your enterprise
• Impetus StreamAnalytix – an enterprise ready platform for Real-time Streaming Analytics
Future-Proof Your Streaming Analytics Architecture- StreamAnalytix WebinarImpetus Technologies
Future-Proof Your Streaming Analytics Architecture- StreamAnalytix Webinar
View the webcast on http://bit.ly/1HFD8YR
The speakers from Forrester and Impetus talk about the options and optimal architecture to incorporate real-time insights into your apps that provisions benefitting from future innovation also.
Real-time Streaming Analytics: Business Value, Use Cases and Architectural Co...Impetus Technologies
Impetus webcast ‘Real-time Streaming Analytics: Business Value, Use Cases and Architectural Considerations’ available at http://bit.ly/1i6OrwR
The webinar talks about-
• How business value is preserved and enhanced using Real-time Streaming Analytics with numerous use-cases in different industry verticals
• Technical considerations for IT leaders and implementation teams looking to integrate Real-time Streaming Analytics into enterprise architecture roadmap
• Recommendations for making Real-time Streaming Analytics – real – in your enterprise
• Impetus StreamAnalytix – an enterprise ready platform for Real-time Streaming Analytics
Hadoop is regarded as a key capability for implementing Big Data initiatives in the enterprise, but organizations have yet to realize its full business benefits. In this webinar, Pivotal and guest Forrester Research, Inc. Identify the use cases driving Hadoop adoption, and explore what is needed to transform initial investments into results.
Learn about:
Challenges Hadoop introduces, and how the right tools and platforms can help address them
Shifts in the industry with regards to SQL and NoSQL systems and their implications to Big Data analytics
Applying in-memory technologies for data management systems, data analytics, transactional processing and operational databases
Watch the on-demand webinar here:
http://www.pivotal.io/big-data/pivotal-forrester-operationalizing-data-analytics-webinar
Learn how to maximize business value from all of your data here: http://www.pivotal.io/big-data/pivotal-hd
How to Apply Machine Learning with R, H20, Apache Spark MLlib or PMML to Real...Kai Wähner
"Big Data" is currently a big hype. Large amounts of historical data are stored in Hadoop or other platforms. Business Intelligence tools and statistical computing are used to draw new knowledge and to find patterns from this data, for example for promotions, cross-selling or fraud detection. The key challenge is how these findings can be integrated from historical data into new transactions in real time to make customers happy, increase revenue or prevent fraud.
"Fast Data" via stream processing is the solution to embed patterns - which were obtained from analyzing historical data - into future transactions in real-time. This session uses several real world success stories to explain the concepts behind stream processing and its relation to Hadoop and other big data platforms. The session discusses how patterns and statistical models of R, Spark MLlib and other technologies can be integrated into real-time processing using open source frameworks (such as Apache Storm, Spark or Flink) or products (such as IBM InfoSphere Streams or TIBCO StreamBase). A live demo shows the complete development lifecycle combining analytics, machine learning and stream processing.
What is DataOps? Data Lineage for DataOps. How can MANTA help? Case study DataOps. DataOps implementation. E-books for free.
Visit us at https://getmanta.com/
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
CTO of ParStream Joerg Bienert hold a presentation on February 25, 2014 about Big Data for Business Users. He talked about several use cases of current ParStream customers and ParStreams' technology itself.
As a result of the changing landscape to many industries, fraud is a growing problem – accelerating in both the number of incidences and in its complexity. In Canada, we estimate that the total impact of fraud is close to $2 billion – stemming from both losses and cost of operations. These challenges have opened the door for Symcor to offer industry-leading digital and data services to detect and prevent current and emerging fraud. Hortonworks worked with us to transform our service offerings with industry-leading solutions to drive digital and data services. One of our most significant features we developed in the delivery of digital and data services was how we have provided industry-leading data governance and security solutions to protect our clients’ data. To ensure we were doing the right things, Symcor’s Privacy and Data Governance team designed a comprehensive data governance policy to empower the ethical use of data for fraud detection and prevention. Hortonworks was able to provide us with a platform that allowed for the development of industry-leading solutions that allowed us to integrate our comprehensive data governance policies within these technology solutions.
Thanks to Hortonworks assistance, we were able to deliver the objectives listed above. This solution has helped Symcor enhance its business offerings from a leading business processing provider in Canada, to an industry-leading digital and data services provider. CHRIS WOJDAK, Sr. Program\Managing Architect Leader, Symcor Inc and MIKE MACDONALD
Data Warehouse Like a Tech Startup with Oracle Autonomous Data WarehouseRittman Analytics
“Tech startups can't afford DBAs, and they don't have time to provision servers and scale them up and down or deal with patches or downtime. They've never heard of indexes and they need data loaded and ready for analysis in days, not months. In this session learn how Oracle Database developers can build data warehouses as a hip startup data engineer would—but using a proper database built on Oracle technology. Oracle Data Visualization Desktop provides analytics and data exploration with techniques explained in this session. Hear real-world development experiences from working on data and analytics projects at a tech startup in the UK.”
Analytic Excellence - Saying Goodbye to Old ConstraintsInside Analysis
The Briefing Room with Dr. Robin Bloor and Actian
Live Webcast August 6, 2013
http://www.insideanalysis.com
With all the innovations in compute power these days, one of the hardest hurdles to overcome is the tendency to think in old ways. By and large, the processing constraints of yesterday no longer apply. The new constraints revolve around the strategic management of data, and the effective use of business analytics. How can your organization take the helm in this new era of analysis?
Register for this episode of The Briefing Room to find out! Veteran Analyst Wayne Eckerson of The BI Leadership Forum, will explain how a handful of key innovations has significantly changed the game for data processing and analytics. He'll be briefed by John Santaferraro of Actian, who will tout his company's unique position in "scale-up and scale-out" for analyzing data.
Up Your Analytics Game with Pentaho and Vertica Pentaho
Big Data is a game-changer.
In the face of exploding volumes and varieties of data, traditional data management and ETL systems just aren’t cutting it anymore. A new way of sifting through vast volumes of data to find the most relevant info, combining this data with other data sources to extract faster insights is desperately needed. Enter HP|Vertica and Pentaho with a proven solution for lightning fast queries and blended data and analytics capabilities for your business users.
Many companies have invested time and money into building sophisticated data pipelines that can move massive amounts of data, often in real time. However, for the analyst or data scientist who builds offline models, integrating their analyses into these pipelines for operational purposes can pose a challenge.
In this slide deck, we will discuss some key technologies and workflows companies can leverage to build end-to-end solutions for automating statistical and machine learning solutions: from collection and storage to analysis and real-time predictions.
Moving from data to insights: How to effectively drive business decisions & g...Cloudera, Inc.
Firms have become obsessed with data. But the key to competitive advantage is not just more or bigger data or big data technology, it is finding actionable insights from all the data as well as embedding insight in processes and applications. This requires a change in your approach - modernized architecture and embedding insights and data in you business decisions It also requires a change in how your people work systematically to find, test and implement insights. In this webinar, Forrester Vice President and Principal Analyst Brian Hopkins will present results from two years of research into these ideas and recommend to attendees how they can get the most out of their data and analytics to drive effective business decisions and gain competitive advantage.
How to create intelligent Business Processes thanks to Big Data (BPM, Apache ...Kai Wähner
BPM is established, tools are stable, many companies use it successfully. However, today's business processes are based on data from relational databases or web services. Humans make decisions due to this information. Companies also use business intelligence and other tools to analyze their data. Though, business processes are executed without access to this important information because technical challenges occur when trying to integrate big masses of data from many different sources into the BPM engine. Additionally, bad data quality due to duplication, incompleteness and inconsistency prevents humans from making good decisions. That is status quo. Companies miss a huge opportunity here!
This session explains how to achieve intelligent business processes, which use big data to improve performance and outcomes. A live demo shows how big data can be integrated into business processes easily - just with open source tooling. In the end, the audience will understand why BPM needs big data to achieve intelligent business processes.
Lambda Architecture 2.0 Convergence between Real-Time Analytics, Context-awar...Sabri Skhiri
At Huawei, we have developed a scalable Complex Event Processing with a significant improvement of the expressiveness. In the scope of the "context-aware" distributed systems, we need to define new architecture patterns. In this way we open new doors to new features and capabilities.
Hortonworks Data in Motion Webinar Series - Part 1Hortonworks
VIEW THE ON-DEMAND WEBINAR: http://hortonworks.com/webinar/introduction-hortonworks-dataflow/
Learn about Hortonworks DataFlow (HDFTM) and how you can easily augment your existing data systems – Hadoop and otherwise. Learn what Dataflow is all about and how Apache NiFi, MiNiFi, Kafka and Storm work together for streaming analytics.
Hadoop is regarded as a key capability for implementing Big Data initiatives in the enterprise, but organizations have yet to realize its full business benefits. In this webinar, Pivotal and guest Forrester Research, Inc. Identify the use cases driving Hadoop adoption, and explore what is needed to transform initial investments into results.
Learn about:
Challenges Hadoop introduces, and how the right tools and platforms can help address them
Shifts in the industry with regards to SQL and NoSQL systems and their implications to Big Data analytics
Applying in-memory technologies for data management systems, data analytics, transactional processing and operational databases
Watch the on-demand webinar here:
http://www.pivotal.io/big-data/pivotal-forrester-operationalizing-data-analytics-webinar
Learn how to maximize business value from all of your data here: http://www.pivotal.io/big-data/pivotal-hd
How to Apply Machine Learning with R, H20, Apache Spark MLlib or PMML to Real...Kai Wähner
"Big Data" is currently a big hype. Large amounts of historical data are stored in Hadoop or other platforms. Business Intelligence tools and statistical computing are used to draw new knowledge and to find patterns from this data, for example for promotions, cross-selling or fraud detection. The key challenge is how these findings can be integrated from historical data into new transactions in real time to make customers happy, increase revenue or prevent fraud.
"Fast Data" via stream processing is the solution to embed patterns - which were obtained from analyzing historical data - into future transactions in real-time. This session uses several real world success stories to explain the concepts behind stream processing and its relation to Hadoop and other big data platforms. The session discusses how patterns and statistical models of R, Spark MLlib and other technologies can be integrated into real-time processing using open source frameworks (such as Apache Storm, Spark or Flink) or products (such as IBM InfoSphere Streams or TIBCO StreamBase). A live demo shows the complete development lifecycle combining analytics, machine learning and stream processing.
What is DataOps? Data Lineage for DataOps. How can MANTA help? Case study DataOps. DataOps implementation. E-books for free.
Visit us at https://getmanta.com/
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
CTO of ParStream Joerg Bienert hold a presentation on February 25, 2014 about Big Data for Business Users. He talked about several use cases of current ParStream customers and ParStreams' technology itself.
As a result of the changing landscape to many industries, fraud is a growing problem – accelerating in both the number of incidences and in its complexity. In Canada, we estimate that the total impact of fraud is close to $2 billion – stemming from both losses and cost of operations. These challenges have opened the door for Symcor to offer industry-leading digital and data services to detect and prevent current and emerging fraud. Hortonworks worked with us to transform our service offerings with industry-leading solutions to drive digital and data services. One of our most significant features we developed in the delivery of digital and data services was how we have provided industry-leading data governance and security solutions to protect our clients’ data. To ensure we were doing the right things, Symcor’s Privacy and Data Governance team designed a comprehensive data governance policy to empower the ethical use of data for fraud detection and prevention. Hortonworks was able to provide us with a platform that allowed for the development of industry-leading solutions that allowed us to integrate our comprehensive data governance policies within these technology solutions.
Thanks to Hortonworks assistance, we were able to deliver the objectives listed above. This solution has helped Symcor enhance its business offerings from a leading business processing provider in Canada, to an industry-leading digital and data services provider. CHRIS WOJDAK, Sr. Program\Managing Architect Leader, Symcor Inc and MIKE MACDONALD
Data Warehouse Like a Tech Startup with Oracle Autonomous Data WarehouseRittman Analytics
“Tech startups can't afford DBAs, and they don't have time to provision servers and scale them up and down or deal with patches or downtime. They've never heard of indexes and they need data loaded and ready for analysis in days, not months. In this session learn how Oracle Database developers can build data warehouses as a hip startup data engineer would—but using a proper database built on Oracle technology. Oracle Data Visualization Desktop provides analytics and data exploration with techniques explained in this session. Hear real-world development experiences from working on data and analytics projects at a tech startup in the UK.”
Analytic Excellence - Saying Goodbye to Old ConstraintsInside Analysis
The Briefing Room with Dr. Robin Bloor and Actian
Live Webcast August 6, 2013
http://www.insideanalysis.com
With all the innovations in compute power these days, one of the hardest hurdles to overcome is the tendency to think in old ways. By and large, the processing constraints of yesterday no longer apply. The new constraints revolve around the strategic management of data, and the effective use of business analytics. How can your organization take the helm in this new era of analysis?
Register for this episode of The Briefing Room to find out! Veteran Analyst Wayne Eckerson of The BI Leadership Forum, will explain how a handful of key innovations has significantly changed the game for data processing and analytics. He'll be briefed by John Santaferraro of Actian, who will tout his company's unique position in "scale-up and scale-out" for analyzing data.
Up Your Analytics Game with Pentaho and Vertica Pentaho
Big Data is a game-changer.
In the face of exploding volumes and varieties of data, traditional data management and ETL systems just aren’t cutting it anymore. A new way of sifting through vast volumes of data to find the most relevant info, combining this data with other data sources to extract faster insights is desperately needed. Enter HP|Vertica and Pentaho with a proven solution for lightning fast queries and blended data and analytics capabilities for your business users.
Many companies have invested time and money into building sophisticated data pipelines that can move massive amounts of data, often in real time. However, for the analyst or data scientist who builds offline models, integrating their analyses into these pipelines for operational purposes can pose a challenge.
In this slide deck, we will discuss some key technologies and workflows companies can leverage to build end-to-end solutions for automating statistical and machine learning solutions: from collection and storage to analysis and real-time predictions.
Moving from data to insights: How to effectively drive business decisions & g...Cloudera, Inc.
Firms have become obsessed with data. But the key to competitive advantage is not just more or bigger data or big data technology, it is finding actionable insights from all the data as well as embedding insight in processes and applications. This requires a change in your approach - modernized architecture and embedding insights and data in you business decisions It also requires a change in how your people work systematically to find, test and implement insights. In this webinar, Forrester Vice President and Principal Analyst Brian Hopkins will present results from two years of research into these ideas and recommend to attendees how they can get the most out of their data and analytics to drive effective business decisions and gain competitive advantage.
How to create intelligent Business Processes thanks to Big Data (BPM, Apache ...Kai Wähner
BPM is established, tools are stable, many companies use it successfully. However, today's business processes are based on data from relational databases or web services. Humans make decisions due to this information. Companies also use business intelligence and other tools to analyze their data. Though, business processes are executed without access to this important information because technical challenges occur when trying to integrate big masses of data from many different sources into the BPM engine. Additionally, bad data quality due to duplication, incompleteness and inconsistency prevents humans from making good decisions. That is status quo. Companies miss a huge opportunity here!
This session explains how to achieve intelligent business processes, which use big data to improve performance and outcomes. A live demo shows how big data can be integrated into business processes easily - just with open source tooling. In the end, the audience will understand why BPM needs big data to achieve intelligent business processes.
Lambda Architecture 2.0 Convergence between Real-Time Analytics, Context-awar...Sabri Skhiri
At Huawei, we have developed a scalable Complex Event Processing with a significant improvement of the expressiveness. In the scope of the "context-aware" distributed systems, we need to define new architecture patterns. In this way we open new doors to new features and capabilities.
Hortonworks Data in Motion Webinar Series - Part 1Hortonworks
VIEW THE ON-DEMAND WEBINAR: http://hortonworks.com/webinar/introduction-hortonworks-dataflow/
Learn about Hortonworks DataFlow (HDFTM) and how you can easily augment your existing data systems – Hadoop and otherwise. Learn what Dataflow is all about and how Apache NiFi, MiNiFi, Kafka and Storm work together for streaming analytics.
Hortonworks Data In Motion Series Part 3 - HDF Ambari Hortonworks
How To: Hortonworks DataFlow 2.0 with Ambari and Ranger for integrated installation, deployment and operations of Apache NiFi.
On demand webinar with demo: http://hortonworks.com/webinar/getting-goal-big-data-faster-enterprise-readiness-data-motion/
Hortonworks Data In Motion Series Part 4Hortonworks
How real-world enterprises leverage Hortonworks DataFlow/Apache NiFi to to create real-time data flows in record time to enable new business opportunities, improve customer retention, accelerate big data projects from months to minutes through increased efficiency and reduced costs.
On-Demand webinar: http://hortonworks.com/webinar/paradigm-shift-business-usual-real-time-dataflows-record-time/
Webinar Series Part 5 New Features of HDF 5Hortonworks
Overview of the newest features of Hortonworks DataFlow highlighting the new processors, new user interface, edge intelligence powered by Apache MiNiFi and new support for multi-tenancy and new zero master clustering architecture
Intro to Machine Learning with H2O and AWSSri Ambati
Navdeep Gill @ Galvanize Seattle- May 2016
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
Hortonworks Data in Motion Webinar Series Part 7 Apache Kafka Nifi Better Tog...Hortonworks
Apache NiFi, Storm and Kafka augment each other in modern enterprise architectures. NiFi provides a coding free solution to get many different formats and protocols in and out of Kafka and compliments Kafka with full audit trails and interactive command and control. Storm compliments NiFi with the capability to handle complex event processing.
Join us to learn how Apache NiFi, Storm and Kafka can augment each other for creating a new dataplane connecting multiple systems within your enterprise with ease, speed and increased productivity.
https://www.brighttalk.com/webcast/9573/224063
Internet of Things (IoT) has become ubiquitous and mainstream. You can well envision a future where everything - right from smart watch to smart car to home- would be interconnected to make human lives smarter and easier. The real opportunity lies in interpreting the data being churned out by these IoT devices and more importantly, bringing connected applications, scalable and smart products to the market, rapidly.
The IoT Cloud platforms enable you to integrate your application and solution with any device, anywhere; providing a reliable, seamless experience in the shortest time window.
Harbinger Systems hosted an informative webinar "IoT Cloud Platforms and Middleware for Rapid Application Development" on January 13, 2016. . Attendees gained insights on how to quickly ideate and develop IoT applications through cloud based platforms and middleware.
Industrial Internet of Things: Protocols an StandardsJavier Povedano
Presentation for the Distributed Systems Master at the University of Cordoba (Spain). In this presentation we review the state of the art in communication middlewares for Industrial Internet of Things
Ahead of the Stream: How to Future-Proof Real-Time AnalyticsInside Analysis
Business seems to move faster by the day, with the most cutting edge companies taking advantage of real-time data streams for heavy duty analytics. But with so much innovation happening in so many places, how can companies stay ahead of the game? One answer is to future-proof your analytics architecture by using an abstraction layer that can translate your business use-case or work-flow to one of many leading innovative technologies to address the growing number of use cases in this dynamic field.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor, as he explains how a data flow architecture can harness a wide range of streaming solutions. He'll be briefed by Anand Venugopal of Impetus Technologies, who will showcase his company's StreamAnalytix platform, which was designed from the ground up to leverage multiple major streaming engines available today, including Apache Spark, Apache Storm and others. He'll demonstrate how StreamAnalytix provides enterprise-class performance while incorporating best-of-breed open-source components.
View the archive at: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=925d1e9b639b78c6cf76a1bbbf485b2b
Presentation from Future of Data Boston Meetup on Oct 24, 2017.
Streaming data is rich with insights but these insights can be difficult to find due to the difficulty of developing and deploying streaming applications. During this presentation we will show how to build and deploy a complex streaming application in a few minutes using open source tools. First we will build an application using Streaming Analytics Manager and Schema Registry that ingests data into Apache Druid. Then we will use Apache Superset to build beautiful, informative dashboards.
The Complete User Experience Monitoring Solution - eG Enterprise v7eG Innovations
Introducing eG Enterprise v7: The industry's most advanced user experience monitoring solution. eG Innovations application performance monitoring solutions simplify and accelerate discovery, diagnosis, and resolution of application performance problems in virtual, physical, and cloud environments.
How to Monitor and Observe IoT and MQTT Applications with HiveMQ HiveMQ
IoT applications can be very difficult to monitor and troubleshoot. The ability to observe the message exchange between a device and the cloud is key to being able to debug production issues. This webinar discusses the unique requirements and challenges administrators have for IoT applications.
During the webinar, we demonstrated how HiveMQ provides the tools that administrators can use to completely understand the behavior of a running device and monitor the overall health of a system. In essence, this video shows how to monitor and observe IoT and MQTT applications with HiveMQ.
The HiveMQ Enterprise MQTT broker can handle millions of concurrently connected MQTT clients and throughput of billions of messages per hour. This massive load of clients and messages can be challenging to manage and monitor. To simplify the operation of MQTT deployments of every size, HiveMQ provides a specialized control center that gives you quick and reliable access to the key metrics of your HiveMQ installation.
In the control center, a wide range of analytics allows administrators to closely examine information for each client and quickly identify irregular client behavior. For example, easily recognize a client that drops messages.
The control center also provides a convenient way for administrators to complete administrative tasks such as disconnecting a specific client. Consistent with HiveMQ principles, the control center is designed to smoothly scale to millions of concurrently connected MQTT clients.
About the Speaker.
David Guschakowski is Sales Engineer at HiveMQ and serves customers by identifying their needs and providing them with technical support. He has provided project and sales consulting services for many years in the areas of data and application integration, data management and messaging. Using this experience, he is helping HiveMQ customers to achieve best possible outcomes with their IoT solutions.
To watch the webinar recording:
https://www.hivemq.com/webinars/how-to-monitor-and-observe-iot-and-mqtt-applications-with-hivemq/
Measuring and Maximizing the Business Impact of Network AutomationItential
As networks become more complex, the rate of change is exceeding human capacity and automation is needed to scale. Automation provides opportunities to re-engineer business processes and shift from human-centric processes to machine-centric in order to maximize business value. However, given all of the choices involved in selecting and implementing an automation platform, decision makers should focus on evolving their ability to evaluate options and measure the business impact of network automation through creating a metric driven automation strategy.
In this webinar, we’ll dive into the following:
- Getting started with measuring automation value by selecting the right use cases.
- How to measure success factors for an effective automation strategy.
- Constructs of a framework for assessing automation value.
- Key metrics to consider when evaluating automation solutions.
- Considerations for scaling automation strategies to support business objectives.
Best Practices for Streaming Connected Car Data with MQTT & KafkaHiveMQ
Automotive organizations today are looking to stream Internet of Things (IoT) data generated from connected cars to Apache Kafka. However, connecting thousands or even millions of cars over unreliable networks can create architectural challenges.
In this session, Florian Raschbichler, Head of Support at HiveMQ, identifies and demonstrates the best practices for implementing a large-scale connected car platform that can stream MQTT messages to Kafka.
Key topics and takeaways:
- Why MQTT is the de-facto communications protocol for a scalable & reliable connected car platform
- Why Kafka is the most used data streaming and processing protocol in the enterprise backend
- How MQTT and Kafka work perfectly together to establish reliable IoT data streaming and processing
About the Speaker
Florian Raschbichler serves as the head of the HiveMQ support team with years of first-hand experience overcoming challenges in achieving reliable, scalable, and secure IoT messaging for enterprise customers.
To watch the webinar recording: https://www.hivemq.com/webinars/best-practices-for-streaming-connected-car-data-with-mqtt-and-kafka/
How to Handle the Realities of DevOps Monitoring TodayDevOps.com
Time series data can bring value to organizations in many ways, beyond simply metrics to help them understand how their infrastructure is performing. It also can help illuminate other issues that can have an impact on performance.
Join us for this informative webinar where we discuss the value and benefits of a Purpose-built platform, how to deal with large amounts of data, and the importance of “time to awesome.”
And make sure you are up-to-date with viewing the InfluxData Video Series on Devops.com!
For more than 25 years, Applied Systems has been engaged in international projects devoted to the development of high-end measurement and test systems as well as customizable visualization software.
Our profound experience in industrial automation along with proven development techniques allow us to create solutions that are tailored to meet every client’s need.
For more than 25 years, Applied Systems has been engaged in international projects devoted to the development of high-end measurement and test systems as well as customizable visualization software.
Our profound experience in industrial automation along with proven development techniques allow us to create solutions that are tailored to meet every client’s need
Modernizing the Manufacturing Industry with MQTT and KafkaHiveMQ
Industry 4.0 and Smart Manufacturing are driving the manufacturing industry to modernize their software infrastructure. The current infrastructure is costly to maintain, creates barriers to sharing data, difficult to integrate with other systems and is limiting corporations to new opportunities promised by Industry 4.0. A key challenge to modernizing a manufacturing infrastructure is how do you integrate old existing systems with new modern systems. Apache Kafka and MQTT are uniquely positioned to provide the core technology to enable modernization of the manufacturing industry.
This session will look at the unique business drivers for modernizing the manufacturing industry and how MQTT and Kafka can help make it a reality.
T.Anagnostopoulos: Putting Open Source to Work at Greek CustomersUni Systems S.M.S.A.
From the event "Open Technologies & Digital Transformation in the Public Sector" that took place in Athens on December 11, 2018. A joint event by UniSystems - Red Hat - GFOSS Open Technologies Alliance
Similar to Real-world Applications of Streaming Analytics- StreamAnalytix Webinar (20)
Impetus White Paper- Handling Data Corruption in ElasticsearchImpetus Technologies
This white paper focuses on handling data corruption in Elasticsearch. It describes how to recover data from corrupted indices of Elasticsearch and re-index that data in a new index. The paper also guides you about Lucene’s index terminology
Deep Learning: Evolution of ML from Statistical to Brain-like Computing- Data...Impetus Technologies
Presentation on 'Deep Learning: Evolution of ML from Statistical to Brain-like Computing'
Speaker- Dr. Vijay Srinivas Agneeswaran,Director, Big Data Labs, Impetus
The main objective of the presentation is to give an overview of our cutting edge work on realizing distributed deep learning networks over GraphLab. The objectives can be summarized as below:
- First-hand experience and insights into implementation of distributed deep learning networks.
- Thorough view of GraphLab (including descriptions of code) and the extensions required to implement these networks.
- Details of how the extensions were realized/implemented in GraphLab source – they have been submitted to the community for evaluation.
- Arrhythmia detection use case as an application of the large scale distributed deep learning network.
SPARK USE CASE- Distributed Reinforcement Learning for Electricity Market Bi...Impetus Technologies
SPARK SUMMIT SESSION -
A majority of the electricity in the U.S. is traded in independent system operator (ISO) based wholesale markets. ISO-based markets typically function in a two-step settlement process with day-ahead (DA) financial settlements followed by physical real-time (spot) market settlements for electricity. In this work, we focus on obtaining equilibrium bidding strategies for electricity generators in DA markets. Electricity prices in DA markets are determined by the ISO, which matches competing supply offers from power generators with demand bids from load serving entities. Since there are multiple generators competing with one another to supply power, this can be modeled as a competitive Markov decision problem, which we solve using a reinforcement learning approach. For power networks of realistic sizes, the state-action space could explode, making the RL procedure computationally intensive. This has motivated us to solve the above problem over Spark. The talk provides the following takeaways:
1. Modeling the day-ahead market as a Markov decision process
2. Code sketches to show the markov decision process solution over Spark and Mahout over Apache Tez
3. Performance results comparing Mahout over Apache Tez and Spark.
Leveraging NoSQL Database Technology to Implement Real-time Data Architecture...Impetus Technologies
Impetus webcast "Leveraging NoSQL Database Technology to Implement Real-time Data Architectures” available at http://bit.ly/1g6Eaj4
This webcast:
• Presents trade-offs of using different approaches to achieve a real-time architecture
• Closely examines an implementation of a NoSQL based real-time architecture
• Shares specific capabilities offered by NoSQL Databases that enable cost and reliability advantages over other techniques
Maturity of Mobile Test Automation: Approaches and Future Trends- Impetus Web...Impetus Technologies
Impetus webcast " Maturity of Mobile Test Automation: Approaches and Future Trends " available at http://lf1.me/Pxb/
This Impetus webcast talks about:
• Mobile test automation challenges
• Evolution of test automation challenges from Unit tests to image based and object comparison methods
• What next?
• Impetus solution approach for comprehensive mobile testing automation
The Shared Elephant - Hadoop as a Shared Service for Multiple Departments – I...Impetus Technologies
For Impetus’ White Papers archive, visit- http://lf1.me/drb/
This white paper talks about the design considerations for enterprises to run Hadoop as a shared service for multiple departments.
As Hadoop becomes more mainstream and indispensable to enterprises, it is imperative that they build, operate and scale shared Hadoop clusters. The design considerations discussed in this paper will help enterprises accomplish the essential mission of running multi-tenant, multi-use Hadoop clusters at scale.
The white paper talks about Identity, Security, Resource Sharing, Monitoring and Operations on the Central Service.
For Impetus’ White Papers archive, visit- http://lf1.me/drb/
Performance Testing of Big Data Applications - Impetus WebcastImpetus Technologies
Impetus webcast "Performance Testing of Big Data Applications" available at http://lf1.me/cqb/
This Impetus webcast talks about:
• A solution approach to measure performance and throughput of Big Data applications
• Insights into areas to focus for increasing the effectiveness of Big Data performance testing
• Tools available to address Big Data specific performance related challenges
Real-time Predictive Analytics in Manufacturing - Impetus WebinarImpetus Technologies
Impetus webcast "Real-time Predictive Analytics in Manufacturing" available at http://lf1.me/hqb/
This Impetus webcast talks about:
• The business value of predictive analytics
• How real-time analytics is enabling ‘intelligent-data’ driven manufacturing
• A Reference Architecture and real world examples based on the experiences of Impetus Big Data architects
• A step-by-step guide for successfully implementing a predictive analytics solution
Date and time - December 06‚ 2013 (10:00 am PT/ 1:00 pm ET)
Duration – 40 mins
Register Here - http://lf1.me/bpb/
Join this Impetus webinar to learn:
• The business value of predictive analytics
• How real-time analytics is enabling ‘intelligent-data’ driven manufacturing
• A Reference Architecture and real world examples based on the experiences of Impetus Big Data architects
• A step-by-step guide for successfully implementing a predictive analytics solution
Real-time Analytics for the Healthcare Industry: Arrythmia Detection- Impetus...Impetus Technologies
It is time for the healthcare industry to move from the era of “analyzing our health history” to the age of “managing the future of our health.” An article by Impetus Big Data experts illustrates the importance of real-time analytics across the healthcare industry by providing a generic mechanism to reengineer traditional analytics expressed in the R programming language into Storm-based real-time analytics code.
The article was featured in the inaugural issue of the Big Data Journal launched at Strata Conference 2013, CA.
Further details:
Authors- Vijay Srinivas Agneeswaran, Joydeb Mukherjee, Ashutosh Gupta, Pranay Tonpay, Jayati Tiwari, and Nitin Agarwal
Addressing Performance Testing Challenges in Agile: Process and Tools: Impetu...Impetus Technologies
Register at http://lf1.me/ocb/
Impetus webinar on ‘Addressing Performance Testing Challenges in Agile: Process and Tools‘
Date: July 3 (10 am PT / 1 pm ET)
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
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
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.
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.
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/
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/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Eventual Accuracy:
Can compute exact answer in batch layer and approximate answer in real-time layer
Essentially, the Lambda Architecture comprises the following components, processes, and responsibilities:
New Data: All data entering the system is dispatched to both the batch layer and the speed layer for processing.
Batch layer: The batch layer has two functions: (i) managing the master dataset (an immutable, append-only set of raw data), and (ii) to pre-compute (arbitrary query functions) the batch views.
Hadoop's HDFS is typically used to store the master dataset and perform the computation of the batch views using MapReduce.
Serving layer: this layer indexes the batch views so that they can be queried in ad hoc with low latency.
To implement the serving layer, usually technologies such as Apache HBase or ElephantDB are utilized.
The Apache Drill project provides the capability to execute full ANSI SQL 2003 queries against batch views.
Speed layer: This layer compensates for the high latency of updates to the serving layer, due to the batch layer. Using fast and incremental algorithms, the speed layer deals with recent data only.
Storm is often used to implement this layer.
Queries: Last but not least, Any incoming query can be answered by merging results from batch views and real-time views.
[Punit] – lose the text at the bottom and increase the size of the diagram
Also make the label beneath the image to be large and bold
StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use-case
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
[Punit] – lose the text at the bottom and increase the size of the diagram
Also make the label beneath the image to be large and bold
StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use-case
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline
[Punit] – lose the text at the bottom and increase the size of the diagram
Also make the label beneath the image to be large and bold
StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use-case
Data source – listener for Active MQ
Secure data streaming from remote servers
Alert for call drop events in the main pipeline