SendGrid Improves Email Delivery with Hybrid Data WarehousingAmazon Web Services
When you received your Uber ‘Tuesday Evening Ride Receipt’ or Spotify’s ‘This Week’s New Music’ email, did you think about how they got there?
SendGrid’s reliable email platform delivers each month over 20 Billion transactional and marketing emails on behalf of many of your favorite brands, including Uber, Airbnb, Spotify, Foursquare and NextDoor.
SendGrid was looking to evolve its data warehouse architecture in order to improve decision making and optimize customer experience. They needed a scalable and reliable architecture that would allow them to move nimbly and efficiently with a relatively small IT organization, while supporting the needs of both business and technical users at SendGrid.
SendGrid’s Director of Enterprise Data Operations will be joining architects from Amazon Web Services (AWS) and Informatica to discuss SendGrid’s journey to a hybrid cloud architecture and how a hybrid data warehousing solution is optimized to support SendGrid’s analytics initiative. Speakers will also review common technologies and use cases being deployed in hybrid cloud today, common data management challenges in hybrid cloud and best practices for addressing these challenges.
Join us to learn:
• How to evolve to a hybrid data warehouse with Amazon Redshift for scalability, agility and cost efficiency with minimal IT resources
• Hybrid cloud data management use cases
• Best practices for addressing hybrid cloud data management challenges
Solace helps our clients build distributed systems – usually realtime systems. We've been doing it for many years - long before people called these EDA.
This deck runs through the evolution to event driven, and the technology (event broker) that allows this to happen
Speaker: Eddie Hui, Principal Sales Consultant, Informatica
These Informatica Cloud offerings are pre-built packages for quick time-to-value for customers looking to fast-track cloud data management initiatives. For example, customers can quickly kick start a new Amazon Redshift data warehouse project and use Informatica Cloud Connector for Amazon Redshift to load it with meaningful connected data from cloud sources such as Salesforce.com or on-premises sources such as relational databases -- all within hours, not months.
apidays LIVE Hong Kong 2021 - Rethinking Financial Services with Data in Moti...apidays
apidays LIVE Hong Kong 2021 - API Ecosystem & Data Interchange
August 25 & 26, 2021
Rethinking Financial Services with Data in Motion
Jeffrey Lam, Senior Solution Engineer, Greater China Region at Confluent
M2M Integration Platform as a Service iPaaSEurotech
Everyware Cloud M2M iPaaS - M2M Integration Platform as a Service
Integrating the Device World (of Things) and the World of Enterprise IT with a M2M Application Enablement Platform
SendGrid Improves Email Delivery with Hybrid Data WarehousingAmazon Web Services
When you received your Uber ‘Tuesday Evening Ride Receipt’ or Spotify’s ‘This Week’s New Music’ email, did you think about how they got there?
SendGrid’s reliable email platform delivers each month over 20 Billion transactional and marketing emails on behalf of many of your favorite brands, including Uber, Airbnb, Spotify, Foursquare and NextDoor.
SendGrid was looking to evolve its data warehouse architecture in order to improve decision making and optimize customer experience. They needed a scalable and reliable architecture that would allow them to move nimbly and efficiently with a relatively small IT organization, while supporting the needs of both business and technical users at SendGrid.
SendGrid’s Director of Enterprise Data Operations will be joining architects from Amazon Web Services (AWS) and Informatica to discuss SendGrid’s journey to a hybrid cloud architecture and how a hybrid data warehousing solution is optimized to support SendGrid’s analytics initiative. Speakers will also review common technologies and use cases being deployed in hybrid cloud today, common data management challenges in hybrid cloud and best practices for addressing these challenges.
Join us to learn:
• How to evolve to a hybrid data warehouse with Amazon Redshift for scalability, agility and cost efficiency with minimal IT resources
• Hybrid cloud data management use cases
• Best practices for addressing hybrid cloud data management challenges
Solace helps our clients build distributed systems – usually realtime systems. We've been doing it for many years - long before people called these EDA.
This deck runs through the evolution to event driven, and the technology (event broker) that allows this to happen
Speaker: Eddie Hui, Principal Sales Consultant, Informatica
These Informatica Cloud offerings are pre-built packages for quick time-to-value for customers looking to fast-track cloud data management initiatives. For example, customers can quickly kick start a new Amazon Redshift data warehouse project and use Informatica Cloud Connector for Amazon Redshift to load it with meaningful connected data from cloud sources such as Salesforce.com or on-premises sources such as relational databases -- all within hours, not months.
apidays LIVE Hong Kong 2021 - Rethinking Financial Services with Data in Moti...apidays
apidays LIVE Hong Kong 2021 - API Ecosystem & Data Interchange
August 25 & 26, 2021
Rethinking Financial Services with Data in Motion
Jeffrey Lam, Senior Solution Engineer, Greater China Region at Confluent
M2M Integration Platform as a Service iPaaSEurotech
Everyware Cloud M2M iPaaS - M2M Integration Platform as a Service
Integrating the Device World (of Things) and the World of Enterprise IT with a M2M Application Enablement Platform
Cloudera Altus: Big Data in der Cloud einfach gemachtCloudera, Inc.
Neueste Studien zeigen, dass Data Scientisten und Analysten bis zu 80% ihrer Zeit dafür nutzen, Daten zu reinigen und vorzubereiten.
Eine ohnehin schon zeitaufwändige Aufgabe kann in der Cloud noch weiter erschwert werden, da das Cluster Management und Operations die Komplexität noch erhöhen.
Nutzer wünschen sich daher, diese komplexen Workflows zu vereinheitlichen und zu vereinfachen.
Um Big Data und Machine Learning Initiativen voranzutreiben, benötigen Unternehmen eine skalierbare und überall verfügbare Plattform. Diese muss Self-Service ermöglichen und Datensilos eliminieren.
Framework and Product Comparison for Big Data Log Analytics and ITOA Kai Wähner
IT systems and applications generate more and more machine data due to millions of mobile devices, Internet of Things, social network users, and other new emerging technologies. However, organizations experience challenges when monitoring and managing their IT systems and technology infrastructure. They struggle with network and server monitoring/troubleshooting, security analysis, custom application monitoring and debugging, compliance standards, and others.
This session discusses how to solve the challenges of analyzing Terabytes and more of different log data to leverage the “digital business” – a term defined by Gartner and others to explain that IT is not just a tool to enable a business, but IT is the business.
The main part of the session compares different solutions for operational intelligence and log analytics to create “digital business”, such as Splunk, TIBCO LogLogic and the open source “ELK stack” (ElasticSearch, Logstash, Kibana).
A common use case will be demonstrated in a live demo: Monitoring, analyzing and correlating a complex E-Commerce transaction running through different custom applications such as a Java EE web application, an integration middleware and analytics processes.
The end of the session explains the distinction of the discussed solutions to Apache Hadoop, and how they can complement each other in a big data architecture.
Native Spark Executors on Kubernetes: Diving into the Data Lake - Chicago Clo...Mariano Gonzalez
Everybody wants to do big data on a data lake! However, implementing it and maintaining the infrastructure necessary to explore it, such as Spark, has been a historically challenging endeavor. Kubernetes is the tool of choice for cloud orchestration, and Spark continues to be the de facto framework for most data wrangling tasks. We’ve previously tried different data lake architectures, and suffered from the pain that Hadoop carries with it. Finally, we decided to bring the best from the cloud and big data worlds together, and walk you through a session on how to set an endless data lake powered with native Spark executors on Kubernetes
Transforming your business through data driven insights and action with AzureInovar Tech
A data-driven culture is critical for today’s businesses to thrive. Azure analytics services enable you to use the full breadth of your data assets to help build transformative and secure analytical solutions at enterprise scale.
Informatica Cloud Services deliver purpose-built data integration cloud applications to allow business users to integrate data across cloud-based applications and on-premise systems and databases. Informatica Cloud Services address specific business processes (customer/product master synchronization, opportunity to order, etc.) and point-to-point data integration (e.g. Salesforce.com to on premise end-points).
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
Dave Wells of Eckerson Group discusses why cloud data warehousing has become popular, the many benefits, and the corresponding challenges. Migrating an existing data warehouse to the cloud is a complex process of moving schema, data, and ETL. The complexity increases when architectural modernization, restructuring of database schema, or rebuilding of data pipelines is needed.
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.
NoSQL in Practice with TIBCO: Real World Use Cases and Customer Success Stori...Kai Wähner
NoSQL is not just about different storage alternatives such as document store, key value store, graphs or column-based databases. The hardware is also getting much more important. Besides common disks and SSDs, enterprises begin to use in-memory storages more and more because a distributed in-memory data grid provides very fast data access and update. While its performance will vary depending on multiple factors, it is not uncommon to be 100 times faster than corresponding database implementations. For this reason and others described in this session, in-memory computing is a great solution for lifting the burden of big data, reducing reliance on costly transactional systems, and building highly scalable, fault-tolerant applications. The session begins with a short introduction to in-memory computing. Afterwards, different frameworks and product alternatives are discussed for implementing in-memory solutions. Finally, the main part of this session shows several different real world uses cases where in-memory computing delivers business value by supercharging the infrastructure, e.g. to accelerate services, handle spikes in processing or ensure fault tolerance and disaster recovery.
A lot of in-memory data grid products are available. TIBCO ActiveSpaces, Oracle Coherence, Infinispan, IBM WebSphere eXtreme Scale, Hazelcast, Gigaspaces, GridGain, Pivotal Gemfire to name most of the important ones.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Cloudera is pioneering next generation data management solutions, enabling organizations to build an enterprise data hub (EDH) as the backbone to any IoT initiative.
To view recording of this webinar please use below URL:
http://wso2.com/library/webinars/2015/09/building-an-enterprise-architecture-with-patterns/
The previous sessions focused on various high level patterns for building effective enterprise architectures (EA). From traditional SOA to resource oriented architectures, and from patterns that are seeing a lot of traction such as event driven architectures to web oriented architectures. These high level concepts provide many best practices and guidelines to enterprise architects looking to evolve their existing EA or for those creating newer EA strategies. But where should you draw the line? Where would an EDA really make sense? Is SOA still the way to go or should we turn our attention to a more granular version of this?
This session wraps up all these four architectural styles. It will
Summarize our findings
Critically analyze the good, the bad and the ugly (if any) of the various patterns
Jointly figure out where they should really fit in
Jonathan Schabowsky, Sr. Architect at Solace, and Marc DiPasquale, Developer Advocate at Solace, present at MuleSoft Connect19 about making your enterprise event-driven.
Powering the Internet of Things with Apache HadoopCloudera, Inc.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Apache Hadoop has emerged as a key architectural component that can help make sense of IoT data, enabling never before seen data products and solutions.
3 Things to Learn About:
*The IoT ecosystem and data management considerations for IoT
*Top IoT use cases and data architecture strategies for managing the sheer volume and variety of IoT data
*Real-life case studies on how our customers are using Cloudera Enterprise to drive insights and analytics from all of their IoT data
Mobile device management (MDM) provides the endpoint-focused processes and solutions for accelerating user productivity and device reliability. However, selecting an MDM platform that directly addresses an organization’s unique requirements and challenges can often be confusing given the diverse range of features and cost elements offered by competing solution providers.
These slides from Steve Brasen, managing research director at leading IT analyst firm Enterprise Management Associates (EMA), reveal key results from the recently published EMA Radar™ on Mobile Device Management. In this side-by-side comparison of the 12 leading MDM platforms, solutions are empirically compared and graded against a broad range of measurements to objectively determine overall product strengths and cost efficiencies.
Data Warehouse vs. Live Datamart - Comparison and DifferencesKai Wähner
Data Warehouses have existed for many years in almost every company. While they are still as good and relevant for the same use cases as they were 20 years ago, they cannot solve new, existing challenges and those sure to come in a ever-changing digital world. The upcoming sections will clarify when to still use a Data Warehouse and when to use a modern Live Datamart instead.
Data Integration for Big Data (OOW 2016, Co-Presented With Oracle)Rittman Analytics
Set of product roadmap + capabilities slides from Oracle Data Integration Product Management, and thoughts on data integration on big data implementations by Mark Rittman (Independent Analyst)
Cloudera Altus: Big Data in der Cloud einfach gemachtCloudera, Inc.
Neueste Studien zeigen, dass Data Scientisten und Analysten bis zu 80% ihrer Zeit dafür nutzen, Daten zu reinigen und vorzubereiten.
Eine ohnehin schon zeitaufwändige Aufgabe kann in der Cloud noch weiter erschwert werden, da das Cluster Management und Operations die Komplexität noch erhöhen.
Nutzer wünschen sich daher, diese komplexen Workflows zu vereinheitlichen und zu vereinfachen.
Um Big Data und Machine Learning Initiativen voranzutreiben, benötigen Unternehmen eine skalierbare und überall verfügbare Plattform. Diese muss Self-Service ermöglichen und Datensilos eliminieren.
Framework and Product Comparison for Big Data Log Analytics and ITOA Kai Wähner
IT systems and applications generate more and more machine data due to millions of mobile devices, Internet of Things, social network users, and other new emerging technologies. However, organizations experience challenges when monitoring and managing their IT systems and technology infrastructure. They struggle with network and server monitoring/troubleshooting, security analysis, custom application monitoring and debugging, compliance standards, and others.
This session discusses how to solve the challenges of analyzing Terabytes and more of different log data to leverage the “digital business” – a term defined by Gartner and others to explain that IT is not just a tool to enable a business, but IT is the business.
The main part of the session compares different solutions for operational intelligence and log analytics to create “digital business”, such as Splunk, TIBCO LogLogic and the open source “ELK stack” (ElasticSearch, Logstash, Kibana).
A common use case will be demonstrated in a live demo: Monitoring, analyzing and correlating a complex E-Commerce transaction running through different custom applications such as a Java EE web application, an integration middleware and analytics processes.
The end of the session explains the distinction of the discussed solutions to Apache Hadoop, and how they can complement each other in a big data architecture.
Native Spark Executors on Kubernetes: Diving into the Data Lake - Chicago Clo...Mariano Gonzalez
Everybody wants to do big data on a data lake! However, implementing it and maintaining the infrastructure necessary to explore it, such as Spark, has been a historically challenging endeavor. Kubernetes is the tool of choice for cloud orchestration, and Spark continues to be the de facto framework for most data wrangling tasks. We’ve previously tried different data lake architectures, and suffered from the pain that Hadoop carries with it. Finally, we decided to bring the best from the cloud and big data worlds together, and walk you through a session on how to set an endless data lake powered with native Spark executors on Kubernetes
Transforming your business through data driven insights and action with AzureInovar Tech
A data-driven culture is critical for today’s businesses to thrive. Azure analytics services enable you to use the full breadth of your data assets to help build transformative and secure analytical solutions at enterprise scale.
Informatica Cloud Services deliver purpose-built data integration cloud applications to allow business users to integrate data across cloud-based applications and on-premise systems and databases. Informatica Cloud Services address specific business processes (customer/product master synchronization, opportunity to order, etc.) and point-to-point data integration (e.g. Salesforce.com to on premise end-points).
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
Dave Wells of Eckerson Group discusses why cloud data warehousing has become popular, the many benefits, and the corresponding challenges. Migrating an existing data warehouse to the cloud is a complex process of moving schema, data, and ETL. The complexity increases when architectural modernization, restructuring of database schema, or rebuilding of data pipelines is needed.
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.
NoSQL in Practice with TIBCO: Real World Use Cases and Customer Success Stori...Kai Wähner
NoSQL is not just about different storage alternatives such as document store, key value store, graphs or column-based databases. The hardware is also getting much more important. Besides common disks and SSDs, enterprises begin to use in-memory storages more and more because a distributed in-memory data grid provides very fast data access and update. While its performance will vary depending on multiple factors, it is not uncommon to be 100 times faster than corresponding database implementations. For this reason and others described in this session, in-memory computing is a great solution for lifting the burden of big data, reducing reliance on costly transactional systems, and building highly scalable, fault-tolerant applications. The session begins with a short introduction to in-memory computing. Afterwards, different frameworks and product alternatives are discussed for implementing in-memory solutions. Finally, the main part of this session shows several different real world uses cases where in-memory computing delivers business value by supercharging the infrastructure, e.g. to accelerate services, handle spikes in processing or ensure fault tolerance and disaster recovery.
A lot of in-memory data grid products are available. TIBCO ActiveSpaces, Oracle Coherence, Infinispan, IBM WebSphere eXtreme Scale, Hazelcast, Gigaspaces, GridGain, Pivotal Gemfire to name most of the important ones.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Cloudera is pioneering next generation data management solutions, enabling organizations to build an enterprise data hub (EDH) as the backbone to any IoT initiative.
To view recording of this webinar please use below URL:
http://wso2.com/library/webinars/2015/09/building-an-enterprise-architecture-with-patterns/
The previous sessions focused on various high level patterns for building effective enterprise architectures (EA). From traditional SOA to resource oriented architectures, and from patterns that are seeing a lot of traction such as event driven architectures to web oriented architectures. These high level concepts provide many best practices and guidelines to enterprise architects looking to evolve their existing EA or for those creating newer EA strategies. But where should you draw the line? Where would an EDA really make sense? Is SOA still the way to go or should we turn our attention to a more granular version of this?
This session wraps up all these four architectural styles. It will
Summarize our findings
Critically analyze the good, the bad and the ugly (if any) of the various patterns
Jointly figure out where they should really fit in
Jonathan Schabowsky, Sr. Architect at Solace, and Marc DiPasquale, Developer Advocate at Solace, present at MuleSoft Connect19 about making your enterprise event-driven.
Powering the Internet of Things with Apache HadoopCloudera, Inc.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Apache Hadoop has emerged as a key architectural component that can help make sense of IoT data, enabling never before seen data products and solutions.
3 Things to Learn About:
*The IoT ecosystem and data management considerations for IoT
*Top IoT use cases and data architecture strategies for managing the sheer volume and variety of IoT data
*Real-life case studies on how our customers are using Cloudera Enterprise to drive insights and analytics from all of their IoT data
Mobile device management (MDM) provides the endpoint-focused processes and solutions for accelerating user productivity and device reliability. However, selecting an MDM platform that directly addresses an organization’s unique requirements and challenges can often be confusing given the diverse range of features and cost elements offered by competing solution providers.
These slides from Steve Brasen, managing research director at leading IT analyst firm Enterprise Management Associates (EMA), reveal key results from the recently published EMA Radar™ on Mobile Device Management. In this side-by-side comparison of the 12 leading MDM platforms, solutions are empirically compared and graded against a broad range of measurements to objectively determine overall product strengths and cost efficiencies.
Data Warehouse vs. Live Datamart - Comparison and DifferencesKai Wähner
Data Warehouses have existed for many years in almost every company. While they are still as good and relevant for the same use cases as they were 20 years ago, they cannot solve new, existing challenges and those sure to come in a ever-changing digital world. The upcoming sections will clarify when to still use a Data Warehouse and when to use a modern Live Datamart instead.
Data Integration for Big Data (OOW 2016, Co-Presented With Oracle)Rittman Analytics
Set of product roadmap + capabilities slides from Oracle Data Integration Product Management, and thoughts on data integration on big data implementations by Mark Rittman (Independent Analyst)
Enterprise Integration Patterns Revisited (again) for the Era of Big Data, In...Kai Wähner
In 2015, I had two talks about Enterprise Integration Patterns at OOP 2015 in Munich, Germany and at JavaDay 2015 in Kiev, Ukraine. I reused a talk from 2013 and updated it with current trends to show how important Enterprise Integration Patterns (EIP) are everywhere today and in the upcoming years.
Take Action: The New Reality of Data-Driven BusinessInside Analysis
The Briefing Room with Dr. Robin Bloor and WebAction
Live Webcast on July 23, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=360d371d3a49ad256942f55350aa0a8b
The waiting used to be the hardest part, but not anymore. Today’s cutting-edge enterprises can seize opportunities faster than ever, thanks to an array of technologies that enable real-time responsiveness across the spectrum of business processes. Early adopters are solving critical business challenges by enabling the rapid-fire design, development and production of very specific applications. Functionality can range from improved customer engagement to dynamic machine-to-machine interactions.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, who will tout a new era in data-driven organizations, and why a data flow architecture will soon be critical for industry leaders. He’ll be briefed by Sami Akbay of WebAction, who will showcase his company’s real-time data management platform, which combines all the component parts needed to access, process and leverage data big and small. He’ll explain how this new approach can provide game-changing power to organizations of all types and sizes.
Visit InsideAnlaysis.com for more information.
Powering Realtime Decision Engines in Finance and Healthcare using Open Sour...Greg Makowski
http://www.kdd.org/kdd2015/industry-gov-talks.html
Financial services and healthcare companies could be the biggest beneficiaries of big data. Their realtime decision engines can be vastly improved by leveraging the latest advances in big data analytics. However, these companies are challenged in leveraging Open Software Systems (OSS). This presentation covers how, in collaboration with financial services and healthcare institutions, we built an OSS project to deliver a realtime decisioning engine for their respective applications. I will address two key issues. First, I will describe the strategy behind our hiring process to attract millennial big data developers and the results of this endeavor. Second, I will recount the collaboration effort that we had with our large clients and the various milestones we achieved during that process. I will explain the goals regarding big data analysis that our large clients presented to us and how we accomplished those goals. In particular, I will discuss how we leveraged open source to deliver a realtime decisioning software product called Kamanja to these institutions. An advantage of developing applications in Kamanja is that it is already integrated with Hadoop, Kafka for realtime data streaming, HBase and Cassandra for NoSQL data storage. I will talk about how these companies benefited from Kamanja and some of challenges we had in the design of this software. I will provide quantifiable improvements in key metrics driven by Kamanja and interesting, unsolved problems/challenges that need to be addressed for faster and wider adoption of OSS by these companies.
RoltaiPerspective enterprise suite for SOA-based Enterprise IntegrationRolta
RoltaiPerspective Enterprise Suite is an IT solution which gives flexibility by accomplishing the specific needs of an enterprise and helps organization accomplish fast ROI through asset consolidation and agile business processes. RoltaiPerspective empowers organizations to bridge the gap between old applications and next gen applications thus encouraging an environment of/for change and upgrade.
Operational Machine Learning: Using Microsoft Technologies for Applied Data S...Khalid Salama
Sqlbits 2017 session - Data Science concerns with the activities of processing and analysing data in a particular domain, as well as applying machine learning algorithms to automatically discover insights and interesting patterns from the data. While data scientist needs tools to explore and visualize data, along with performing machine learning experiments and evaluating candidate models, operational platforms are required to productionize and maintain the resultant models, and integrate them into the operational systems. In this session, we explore the main features and capabilities of various Microsoft technologies that enable such end-to-end data science exercise, including SQL Server and Azure PaaS Services, along with practical scenarios and demos.
Why Your Digital Transformation Strategy Demands Middleware ModernizationVMware Tanzu
Your current middleware platform is costing you more than you think. It wasn't designed to support high-velocity software releases and frequent iteration of applications—prerequisites for success in today’s world. A new, modern approach to middleware is needed that enables both developer productivity and operational efficiency.
Join Pivotal’s Rohit Kelapure and Perficient’s Joel Thimsen as they discuss:
- The limitations of traditional middleware
- The benefits of middleware modernization
- Your options for modernization, including a cloud-native platform
- Tips for overcoming some common challenges
Presenters: Rohit Kelapure, Pivotal, Joel Thimsen, Perficient & Jeff Kelly, Pivotal (Host)
A Study on the Application of Web-Scale IT in Enterprises in IoT EraHassan Keshavarz
The concept of Web-Scale IT has become a pattern of global class computing that delivers the capabilities of large cloude sevice provider in the enterprise IT industry and business sector. Based on the Gartner report, WebScale IT is one of the technology trends probably to have a significant effect on companies over the next three years, by 2017. Web-Scale IT is clearly defined as the all things accouring in large scale could service firms such as Google, Amazon, Netfilx, Facebook and so on, that enables them to get high levels of agility and scalability by using new processes and architecures according to the report. This paper scrutinizes how technology can change the business style for IoT using in the future. It is expected that using of Web-Scale IT is critical in this turning point of changing the business method so as to IoT using in the future. For achieve tha aim, the first step toward the WebScale IT for many organization should be bringing Developing and Operations together. This is the movment known as “DevOps”.
Content presented at the inaugural MuleSoft Meetup Singapore hosted by WhiteSky Labs in March 2019.
Key topics covered during the event:
1. Introduction to API-Led Integration and MuleSoft
2. Overview of MuleSoft Anypoint Version 4
Smart companies know that business intelligence surfaces insights. With complex analytics, data mining and everything in between, it takes many moving parts to serve up the big picture. The key is to provide full-stack visibility into the entire BI environment, ensuring solid service and system performance.
Learn more at http://www.insideanalysis.com
Agile, Automated, Aware: How to Model for SuccessInside Analysis
The Briefing Room with David Loshin and Embarcadero
Live Webcast October 27, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/onstage/g.php?MTID=eea9877b71c653c499c809c5693eae8fe
Data management teams face some tough challenges these days. Organizations need business-driven visibility that enables understanding and awareness of enterprise data assets – without worrying about definitions and change management. But with information architectures evolving into a hybrid mix of data objects and data services built over relational databases as well as big data stores, serving up accurately defined, reusable data can become a complex issue.
Register for this episode of The Briefing Room to learn from veteran Analyst David Loshin as he explains the importance of agile, automated workflows in today’s enterprise. He’ll be briefed by Ron Huizenga of Embarcadero, who will discuss how his company’s ER/Studio suite approaches data modeling and management from a modern architecture standpoint. He will explain that unifying the way information is represented can not only eliminate the need for costly workarounds, but also foster collaboration between data architects, developers and business users.
Visit InsideAnalysis.com for more information.
First in Class: Optimizing the Data Lake for Tighter IntegrationInside Analysis
The Briefing Room with Dr. Robin Bloor and Teradata RainStor
Live Webcast October 13, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=012bb2c290097165911872b1f241531d
Hadoop data lakes are emerging as peers to corporate data warehouses. However, successful data management solutions require a fusion of all relevant data, new and old, which has proven challenging for many companies. With a data lake that’s been optimized for fast queries, solid governance and lifecycle management, users can take data management to a whole new level.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses the relevance of data lakes in today’s information landscape. He’ll be briefed by Mark Cusack of Teradata, who will explain how his company’s archiving solution has developed into a storage point for raw data. He’ll show how the proven compression, scalability and governance of Teradata RainStor combined with Hadoop can enable an optimized data lake that serves as both reservoir for historical data and as a "system of record” for the enterprise.
Visit InsideAnalysis.com for more information.
Fit For Purpose: Preventing a Big Data LetdownInside Analysis
The Briefing Room with Dr. Robin Bloor and RedPoint Global
Live Webcast October 6, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=9982ad3a2603345984895f279e849d35
Gartner recently placed Big Data in its “trough of disillusionment,” reflective of many leaders’ struggle to prove the value of Hadoop within their organization. While the promise of enhanced data integration and enrichment is obvious, measurable results have remained elusive. This episode of The Briefing Room will outline how to successfully tie Big Data to existing business applications, preventing your next Hadoop project from being another “Big Data letdown.”
Register today to learn from veteran Analyst Dr. Robin Bloor as he discusses the importance of converging enterprise data integration with intelligence and scalability. He’ll be briefed by George Corugedo of RedPoint Global, who will provide concrete examples of how the convergence of scalable cloud platforms, ever-expanding data sources and intelligent execution can turn the Big Data hype into demonstrable business value.
Visit InsideAnalysis.com for more information.
To Serve and Protect: Making Sense of Hadoop Security Inside Analysis
The Briefing Room with Dr. Robin Bloor and HP Security Voltage
Live Webcast September 22, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=45ece7082b1d7c2cc8179bc7a1a69ea5
Hadoop is rapidly becoming a development platform and dominant server environment, and organizations are keen to take advantage of its massively scalable – and relatively inexpensive – resources. It is not, however, without its limitations, and it often requires a contingent of complementary components in order to behave within an information architecture. One area often overlooked is security, a factor that, if not considered from the onset, can insert great risk when putting sensitive data in Hadoop.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how security was never a design point for Hadoop and what organizations can do about it. He’ll be briefed by Sudeep Venkatesh of HP Security Voltage, who will explain the intricacies surrounding a secure Hadoop implementation. He will show how techniques like format-preserving and partial-field encryption can allow for analytics over protected data, with zero performance impact.
Visit InsideAnalysis.com for more information.
The Hadoop Guarantee: Keeping Analytics Running On TimeInside Analysis
The Briefing Room with Dr. Robin Bloor and Pepperdata
Live Webcast September 15, 2015
Watch the Archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=32f198185d9d0c4cf32c27bdd1498b2a
Industry researchers agree: the importance of Hadoop will continue to grow as more companies recognize the range of benefits they can reap, from lower-cost storage to better business insights. At the same time, advances in the Hadoop ecosystem are addressing many of the key concerns that have hampered adoption, including performance and reliability. As a result, Hadoop is fast becoming a first-class citizen in the world of enterprise computing.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain how the Hadoop ecosystem is evolving into a mature foundation for managing enterprise data. He’ll be briefed by Sean Suchter of Pepperdata, who will explain how his company’s software brings predictability and reliability to Hadoop through dynamic, policy-based controls and monitoring. He’ll show how to guarantee service-level agreements by slowing down low-priority tasks as needed. He’ll also discuss the holy grail of Hadoop: how to enable mixed workloads.
Visit InsideAnalysis.com for more information.
Special Edition with Dr. Robin Bloor
Live Webcast September 9, 2015
Watch the Archive: https://bloorgroup.webex.com/bloorgroup/onstage/g.php?MTID=e8b9ac35d8e4ffa3452562c1d4286a975
Do the math: algebra will transform information management. Just as the relational database revolutionized the information landscape, so will a just-released, complete algebra of data overhaul the industry itself. So says Dr. Robin Bloor in his new book, the Algebra of Data, which he’ll outline in this special one-hour webcast.
Once organizations learn how to express their data sets algebraically, the benefits will be significant and far-reaching. Data quality problems will slowly subside; queries will run orders of magnitude faster; integration challenges will fade; and countless tedious jobs in the data management space will bid their farewell. But first, software companies must evolve, and that will take time.
Visit InsideAnalysis.com for more information.
The Role of Data Wrangling in Driving Hadoop AdoptionInside Analysis
The Briefing Room with Mark Madsen and Trifacta
Live Webcast September 1, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/onstage/g.php?MTID=eb655874d04ba7d560be87a9d906dd2fd
Like all enterprise software solutions, Hadoop must deliver business value in order to be a success. Much of the innovation around the big data industry these days therefore addresses usability. While there will always be a technical side to the Hadoop equation, the need for user-friendly tools to manage the data will continue to focus on business users. That’s why self-service data preparation or "data wrangling" is a serious and growing trend, one which promises to move Hadoop beyond the early adopter phase and more into the mainstream of business.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain why business users will play an increasingly important role in the evolution of big data. He’ll be briefed by Trifacta's Will Davis and Alon Bartur, who will demonstrate how Trifacta's solution empowers business users to “wrangle" data of all shapes and sizes faster and easier than ever before. They’ll discuss why a new approach to accessing and preparing diverse data is required and how it can accelerate and broaden the use of big data within organizations.
Visit InsideAnalysis.com for more information.
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
All Together Now: Connected Analytics for the Internet of EverythingInside Analysis
The Briefing Room with Mark Madsen and Cisco
Live Webcast August 18, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=0eff120f8b2879b582b77f4ff207ee54
Today's digital enterprises are seeing an explosion of data at the edge. The Internet of Everything is fast approaching a critical mass that will demand a sea change in how companies process data. This new world of information is widely distributed, streaming, and overall becoming too big to move. Experts predict that within two to three years, the bulk of analytic processing will take place on the fringes of information architectures. As a result, forward-thinking companies are dramatically shifting their analytic strategies.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain how a new era of information architectures is now unfolding, paving the way to much more responsive and agile business models. He'll be briefed by Kim Macpherson of the Cisco Data and Analytics Business Unit, who will explain how her company's platform is uniquely suited for this new, federated analytic paradigm. She'll demonstrate how edge analytics can help companies address opportunities quickly and effectively.
Visit InsideAnalysis.com for more information.
Goodbye, Bottlenecks: How Scale-Out and In-Memory Solve ETLInside Analysis
The Briefing Room with Dr. Robin Bloor and Splice Machine
Live Webcast August 11, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/onstage/g.php?MTID=e1b33c9d45b178e13784b4a971a4c1349
The ETL process was born out of necessity, and for decades it has been the glue between data sources and target applications. But as data
growth soars and increased competition demands real-time data, standard ETL has become brittle and often unmanageable. Scaling up resources can do the trick, but it’s very costly and only a matter of time before the processes hit another bottleneck. When outmoded ETL stands in the way of real-time analytics, it might be time to consider a completely new approach.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he explains how modern, data-driven architectures must adopt an equally capable data integration strategy. He’ll be briefed by Rich Reimer of Splice Machine, who will discuss how his company solves ETL performance issues and enables real-time analytics and reports on big data. He will show that by leveraging the scale-out power of Hadoop and the in-memory speed of Spark, users can bring both analytical and operational systems together, eventually performing transformations only when needed.
Visit InsideAnalysis.com for more information.
The Biggest Picture: Situational Awareness on a Global LevelInside Analysis
The Briefing Room with Dr. Robin Bloor and Modus Operandi
Live Webcast July 28, 2015
Watch the Archive: https://bloorgroup.webex.com/bloorgroup/onstage/g.php?MTID=efc4082d9b0b0adfcd753a7435d2d6a1b
The analytic bottlenecks of yesterday need not apply today. The boundaries are also falling thanks in large part to the abundance of third-party data. The most data-driven companies these days are finding creative ways to dynamically incorporate data from within and beyond the firewall, thus building highly accurate, multidimensional views of their business, customer, competition or other subject areas.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains the magnitude of change that's occurring in the world of data, why it's happening now, and how you can take advantage. He'll be briefed by Mike Gilger and Boris Pelakh, who will showcase their company's enterprise analytics platform, which combines a range of battle-tested functionality to deliver dynamic situational awareness that can leverage a comprehensive array of data sets. They'll explain how the platform's reasoner benefits from a highly scalable rules engine, and a flexible modeling capability that can optimize data storage virtually on the fly.
Visit InsideAnalysis.com for more information.
Structurally Sound: How to Tame Your ArchitectureInside Analysis
The Briefing Room with Krish Krishnan and Teradata
Live Webcast July 21, 2015
Watch the Archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=602b2a8413e8719d39465f4d6291d505
Technology changes all the time, but the basic needs of the business are the same: BI and analytics. With new types of data, various analytics engines and multiple systems, giving business users seamless access to enterprise data can be a rather daunting process. One solution is to provide a complete fabric that spans the organization, touching all data points and masking the complexity behind disparate sources.
Register for this episode of The Briefing Room to learn from veteran Analyst Krish Krishnan as he explores how and why architectures have changed over the years. He’ll be briefed by Imad Birouty of Teradata, who will discuss his company’s QueryGrid, an analytics solution designed to provide access to data across all systems. He will show how QueryGrid essentially creates a logical data warehouse and enables users to leverage SQL over multiple data types.
Visit InsideAnalysis.com for more information.
SQL In Hadoop: Big Data Innovation Without the RiskInside Analysis
The Briefing Room with Dr. Robin Bloor and Actian
Live Webcast July 14, 2015
Watch the Archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=bbd4395ea2f8c60a03cfefc68c7aa823
Innovation often implies risk, which is why businesses have many issues to weigh when considering change. Yet the remarkable growth of data is driving many traditional systems into the ground, forcing information workers to take a critical look at their existing tools. Technologies like Hadoop offer economical solutions to big data management, but to truly take advantage of its capabilities, organizations must modernize their infrastructure.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he explains how and why organizations should improve legacy systems. He’ll be briefed by Todd Untrecht of Actian, who will tout his company’s Actian Vortex, a SQL-in-Hadoop solution. He will show how integrating a SQL engine directly in the Hadoop cluster can lead to faster analytics and greater control, while still maintaining existing investments.
Visit InsideAnalysis.com for more information.
The Briefing Room with Dr. Robin Bloor and SYSTAP
Live Webcast June 30, 2015
Watch the Archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=0ff3889293f6c090483295fd7362c5a4
There's a reason why the biggest Web companies these days leverage graph technology: it is incredibly powerful for revealing a wide range of insights. Unlike other analytical databases, graph can very quickly identify the kinds of patterns that lead to better business decisions. Though relatively nascent in existing data centers, graph databases are proving to be well-suited for all kinds of business use cases, from clustering and hypothesis generation to failure detection and cyber analytics.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how semantic technology fits in the spectrum of database and discovery solutions. He’ll be briefed by Brad Bebee of SYSTAP, who will showcase his company’s Blazegraph products and Mapgraph technology. He will explain how SYSTAP’s approach overcomes the challenge of scalability, and how graph technology’s powerful data management capabilities can deliver better enterprise performance and analytics using GPUs and other approaches.
Visit InsideAnalysis.com for more information.
A Revolutionary Approach to Modernizing the Data WarehouseInside Analysis
Hot Technologies with Rick Sherman, Dr. Robin Bloor and Snowflake Computing
Live Webcast June 25, 2015
Watch the Archive: https://bloorgroup.webex.com/bloorgroup/onstage/g.php?MTID=e6e6de6cdfa8926e7a9d52e099a1a08e2
Enterprise software tends to advance in one of two ways: evolutionary and revolutionary. Evolutionary advances happen through incremental improvements made to an existing code base over a long period of time. Revolutionary advances happen when a new solution is designed from scratch, breaking cleanly from legacy approaches to take advantage of technology innovations that can span from hardware to software and methodologies.
Register for this episode of Hot Technologies to hear veteran analysts Rick Sherman of Athena IT Solutions and Dr. Robin Bloor along with Bob Muglia, CEO of Snowflake Computing, explain how a confluence of advances in the data world have opened up new doors for revolutionary advances in data warehousing. They will discuss new technology innovations and how they can be used to create data warehouses with the power, flexibility, and resiliency that modern enterprises need without the complexities and latencies inherent to traditional approaches.
Visit InsideAnalysis.com for more information.
The Maturity Model: Taking the Growing Pains Out of HadoopInside Analysis
The Briefing Room with Rick van der Lans and Think Big, a Teradata Company
Live Webcast on June 16, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=197f8106531874cc5c14081ca214eaff
Hadoop is arguably one of the most disruptive technologies of the last decade. Once lauded solely for its ability to transform the speed of batch processing, it has marched steadily forward and promulgated an array of performance-enhancing accessories, notably Spark and YARN. Hadoop has evolved into much more than a file system and batch processor, and it now promises to stand as the data management and analytics backbone for enterprises.
Register for this episode of The Briefing Room to learn from veteran Analyst Rick van der Lans, as he discusses the emerging roles of Hadoop within the analytics ecosystem. He’ll be briefed by Ron Bodkin of Think Big, a Teradata Company, who will explore Hadoop’s maturity spectrum, from typical entry use cases all the way up the value chain. He’ll show how enterprises that already use Hadoop in production are finding new ways to exploit its power and build creative, dynamic analytics environments.
Visit InsideAnalysis.com for more information.
Rethinking Data Availability and Governance in a Mobile WorldInside Analysis
The Briefing Room with Malcolm Chisholm and Druva
Live Webcast on June 9, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=baf82d3835c5dfa63202dcbe322a3ad7
The emergence of the mobile workforce has left an indelible mark on the enterprise; every employee is now mobile, and business data continues to be dispatched to the far reaches of the enterprise. While this has added enormous opportunity for increased productivity, it has also muddied the waters when it comes to controlling and protecting valuable data assets. As companies quickly evolve to address the new set of challenges posed by this shift in data usage, IT must ensure that all data, no matter where it’s generated or stored, is available and governed just as if it were still safely behind the corporate firewall.
Register for this episode of The Briefing Room to hear veteran Analyst Malcolm Chisholm as he explains the myriad challenges that mobile data introduces when addressing regulations and compliance needs, requiring new approaches to data governance. He’ll be briefed by Dave Packer of Druva, who will outline his company’s converged data protection strategy, which brings data center class capabilities to backup, availability and governance for the mobile workforce. He will share strategies to meet regional data residency, data recovery, legal hold and eDiscovery requirements and more.
Visit InsideAnalysis.com for more information.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
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.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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.
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/
1. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
EnterpriseWeb is a Registered Trademark of EnterpriseWeb LLC
Postcards from the Edge
DisrupTech, Austin, TX, May 15, 2015
Dave Duggal, Managing Director
dave@enterpriseweb.com
Smart Process is Smart Business™
2. Copyright 2015, EnterpriseWeb LLC
The real-world is dynamic,
distributed and diverse
Smart Process is Smart Business™
Traditional IT methods don’t respond,
scale or adapt fast enough
3. Recreating Silos in the Cloud
Infrastructure is virtualized and horizontal,
but apps are still 3-tier vertically integrated
Copyright 2015, EnterpriseWeb LLC
9. and increasing demands for interoperability
Smart Process is Smart Business™
Copyright 2015, EnterpriseWeb LLC
10. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
EnterpriseWeb has re-invented middleware
www.enterpriseweb.com +1 (646) 502-8062 x444 info@enterpriseweb.com
enabling the real-time data-driven enterprise
11. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
A lightweight, scale-out architecture for
responsive and highly-connected processes
• personalize user-experiences
• dynamically enforce compliance
• automate IT governance
• optimize Agile, DevOps, Cloud
IoT and system pipelines
• integrate value-chains
12. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
Radically Simplifying Distributed Processes
• unified object model
• shared methods/common management
• middleware functions delivered as services
• immutable-shared memory,
• horizontal scale-out plug-in fabric
13. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
Event Processor
Enterprise Service Bus
Business Process Engine
Business Rules Engine
Relational Database
NoSQL
Analytics Engine
Scheduler
Service Catalog
API Registry
The Application Middleware Stack
14. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
Event Processor
Enterprise Service Bus
Business Process Engine
Business Rules Engine
Relational Database
NoSQL
Analytics Engine
Scheduler
Service Catalog
API Registry
LESS
CRUFT
From Vertical Specialization
to Horizontal Generalization
15. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
Application Stack
More
stuff
From Mass Production of
to Mass Customization
ComputeCyclesandIOPS
16. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
Application middleware stacks are
inadequate for distributed intelligent systems
• Stacks distribute a problem over a network of isolated components
(cost, footprint, complexity, latency)
• Minimal state is passed in a linear chain of messages
(no shared memory for transaction, constrains reasoning)
• Not conceived for dynamic data-driven interactions
(tightly-coupled, brittle, siloed applications)
• Components don’t all scale the same so applications cannot scale-out
(increased activity = more middleware, not elastic)
• To support more complex applications you add more components
(e.g. management, big data, IoT, etc. )
17. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
The platform is based on an abstraction,
every endpoint is a graph object
Modeled as set of loosely-coupled relationships
18. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
Objects can be composed to form higher-order
functions, entities, data models, processes
The abstraction harmonizes the representation of diverse and
distributed resources, in order to simplify distributed computing
19. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
Web-services REST-APIs Microservice
In-Process Objects
Index
A Unified Object Model
Business Entities
Functions
Policies
Data Models
Process Models
Org Models
Network Models
UI Components
Content
Multi-Model
NoSQL Store
Remote Objects
20. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
Web-services REST-APIs Microservice
In-Process Objects
Index
Business Entities
Functions
Policies
Data Models
Process Models
Org Models
Network Models
UI Components
Content
Multi-Model
NoSQL Store
Remote Objects
Logical Repository
Code Repository, Service
Catalog, API Registry,
Application Resource
Library
Metadata, Instance Data,
Event Logs, Version
History, Content, Models
Data Code
21. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
Web-services REST-APIs Microservice
Remote Infrastructure
In-Process Objects
Index
Instrumented Infrastructure
Multi-Model
NoSQL Store
Compute
Virtual Machines
Containers
Bare Metal
Storage
HDFS Nodes
SQL / NoSQL
SAN
Network
SDN
NFV
Machines /
Devices
M2M
ioT
Instantiate, Configure, Monitor, Balance, Stop, Tear-down
22. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™Smart Process is Smart Business™
It presents an overlay application fabric,
over diverse and distributed endpoints
Copyright 2015, EnterpriseWeb LLC
23. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
Web-services REST-APIs Microservice
In-Process Objects
Index
access, search,
navigation
Modeling
Environment
Platform
Services
Shared
Libraries
Policy
Management
Declarative
Composition
Unified
Object
Model
System Security
Shared Immutable Memory
Under Common Management
Semantics
Remote Objects
24. Copyright 2015, EnterpriseWeb LLC
Smart Process is Smart Business™
At run-time events are handled by
goal-oriented software agents
The agents use interaction metadata to
semantically interpret graph object
25. Copyright 2015, EnterpriseWeb LLC
Agent
Interprets
Model
Isolated thread provides
run-time container
Agent connects,
transforms
Resources to
advance processing
Agent fetches
representations of
Resources and resolves
queries to URIs
Agent delivers custom payload
including next-best-actions
and updates repository, logs,
indexes and tags
EVENT
Calls
Agent
Anatomy of an Interaction
• Stateless
• Asynchronous
• ACID Transactions
• Distributable Threads
Smart Process is Smart Business™
26. Copyright 2014, EnterpriseWeb LLC
Process
An asynchronous series of ACID transactions
Smart Process is Smart Business™
27. An award-winning platformSmart Process is Smart Business™
Best Semantic Platform
Best GRC Solution
Most Innovative Solution
Most Disruptive Solution
The Software & Information Industry Association
2014 Award Winner - Healthcare
Copyright 2015, EnterpriseWeb LLC
28. Copyright 2014, EnterpriseWeb LLC
Use Cases: Expert Systems; DevOps Automation;
Dynamic Pricing; Customer Experience Management;
Supply Chain Optimization; Integrated Operations;
Cross-Process Governance; Event-Monitoring;
Predictive Maintenance; Internet-of-Things;
Inflight Data Quality Management; Flexible Master
Data Management; Adaptive Case Management; etc.
Smart Process is Smart Business™
Deploys on the Cloud or on-premise
www.enterpriseweb.com +1 (646) 502-8062 x444