Presentation given at the Joint Statistical Meetings in Boston in Aug. 2014, on applications of the R language using TERR, in Business Intelligence and Real Time applications
Using the R Language in BI and Real Time Applications (useR 2015)Lou Bajuk
R provides tremendous value to statisticians and data scientists, however they are often challenged to integrate their work and extend that value to the rest of their organization. This presentation will demonstrate how the R language can be used in Business Intelligence applications (such as Financial Planning and Budgeting, Marketing Analysis, and Sales Forecasting) to put advanced analytics into the hands of a wider pool of decisions makers. We will also show how R can be used in streaming applications (such as TIBCO Streambase) to rapidly build, deploy and iterate predictive models for real-time decisions. TIBCO's enterprise platform for the R language, TIBCO Enterprise Runtime for R (TERR) will be discussed, and examples will include fraud detection, marketing upsell and predictive maintenance.
Extending the R language to BI and Real-time Applications JSM 2015Lou Bajuk
TERR is TIBCO's enterprise-grade R engine that allows companies to leverage R's powerful analytics while overcoming limitations of the open source R engine. TERR enables embedding R functionality tightly within enterprise applications like Spotfire for enhanced analytics. It also allows deploying R models and code in production environments like streaming applications. TERR extends the reach of R across organizations in both interactive and automated analytics.
Sannella use r2013-terr-memory-managementLou Bajuk
This document discusses memory management in TIBCO's Enterprise Runtime for R (TERR). It summarizes key differences between TERR and R in how they represent data objects, handle reference counting, and perform garbage collection. TERR uses abstract C++ classes to represent data with multiple possible representations. It also implements more precise 16-bit reference counting and leverages reference counts to immediately reclaim temporary objects, reducing the need for garbage collection compared to R.
R in BI and Streaming Applications for useR 2016Lou Bajuk
This document discusses the challenges of applying R in streaming and business intelligence applications and introduces TIBCO's Enterprise Runtime for R (TERR) as a solution. TERR is an enterprise-grade R engine that allows users to develop code in open source R and deploy it on a commercially supported platform without rewriting code. This enables easy integration of R into applications for real-time analytics on streaming data and embedding R functionality in tools like Spotfire for business intelligence. Examples are provided of using TERR for predictive maintenance of oil and gas equipment and transportation logistics optimization.
This document discusses strategies for modernizing applications and moving workloads to Kubernetes and container platforms like Pivotal Container Service (PKS). It recommends identifying candidate applications using buckets based on factors like programming language, dependencies, and access to source code. It outlines assessing applications' business value and technical quality using Gartner's TIME methodology to prioritize efforts. The document provides an overview of PKS and how it can provide benefits like increased speed, stability, scalability and cost savings. It recommends starting projects by pushing a few applications to production on PKS to measure ROI metrics.
Keynote: Customer Journey with Streaming Data on AWS - Rahul Pathak, AWSFlink Forward
AWS has offered streaming data services for over 5 years, starting with Kinesis Data Streams. Now customers use streaming across most AWS services, including two that support Apache Flink - EMR and Kinesis Data Analytics. The keynote described how customer use of streaming data on AWS has evolved from early customers processing tens of millions of events daily to now processing trillions of events, and how Flink usage has grown both internally at AWS and for customers.
Increasing ROI Through Simulation and the 'Digital Twin'GSE Systems, Inc.
Learn how you can use the plant simulator as a digital twin to maximize your investment and get beyond operations training into engineering design and virtual commissioning.
Using the R Language in BI and Real Time Applications (useR 2015)Lou Bajuk
R provides tremendous value to statisticians and data scientists, however they are often challenged to integrate their work and extend that value to the rest of their organization. This presentation will demonstrate how the R language can be used in Business Intelligence applications (such as Financial Planning and Budgeting, Marketing Analysis, and Sales Forecasting) to put advanced analytics into the hands of a wider pool of decisions makers. We will also show how R can be used in streaming applications (such as TIBCO Streambase) to rapidly build, deploy and iterate predictive models for real-time decisions. TIBCO's enterprise platform for the R language, TIBCO Enterprise Runtime for R (TERR) will be discussed, and examples will include fraud detection, marketing upsell and predictive maintenance.
Extending the R language to BI and Real-time Applications JSM 2015Lou Bajuk
TERR is TIBCO's enterprise-grade R engine that allows companies to leverage R's powerful analytics while overcoming limitations of the open source R engine. TERR enables embedding R functionality tightly within enterprise applications like Spotfire for enhanced analytics. It also allows deploying R models and code in production environments like streaming applications. TERR extends the reach of R across organizations in both interactive and automated analytics.
Sannella use r2013-terr-memory-managementLou Bajuk
This document discusses memory management in TIBCO's Enterprise Runtime for R (TERR). It summarizes key differences between TERR and R in how they represent data objects, handle reference counting, and perform garbage collection. TERR uses abstract C++ classes to represent data with multiple possible representations. It also implements more precise 16-bit reference counting and leverages reference counts to immediately reclaim temporary objects, reducing the need for garbage collection compared to R.
R in BI and Streaming Applications for useR 2016Lou Bajuk
This document discusses the challenges of applying R in streaming and business intelligence applications and introduces TIBCO's Enterprise Runtime for R (TERR) as a solution. TERR is an enterprise-grade R engine that allows users to develop code in open source R and deploy it on a commercially supported platform without rewriting code. This enables easy integration of R into applications for real-time analytics on streaming data and embedding R functionality in tools like Spotfire for business intelligence. Examples are provided of using TERR for predictive maintenance of oil and gas equipment and transportation logistics optimization.
This document discusses strategies for modernizing applications and moving workloads to Kubernetes and container platforms like Pivotal Container Service (PKS). It recommends identifying candidate applications using buckets based on factors like programming language, dependencies, and access to source code. It outlines assessing applications' business value and technical quality using Gartner's TIME methodology to prioritize efforts. The document provides an overview of PKS and how it can provide benefits like increased speed, stability, scalability and cost savings. It recommends starting projects by pushing a few applications to production on PKS to measure ROI metrics.
Keynote: Customer Journey with Streaming Data on AWS - Rahul Pathak, AWSFlink Forward
AWS has offered streaming data services for over 5 years, starting with Kinesis Data Streams. Now customers use streaming across most AWS services, including two that support Apache Flink - EMR and Kinesis Data Analytics. The keynote described how customer use of streaming data on AWS has evolved from early customers processing tens of millions of events daily to now processing trillions of events, and how Flink usage has grown both internally at AWS and for customers.
Increasing ROI Through Simulation and the 'Digital Twin'GSE Systems, Inc.
Learn how you can use the plant simulator as a digital twin to maximize your investment and get beyond operations training into engineering design and virtual commissioning.
Digital Banking Operating Models
Lloyds Banking Group demonstrate how they use Splunk throughout IT Operations, supporting Digital Services such as online banking across the Group
The document is a presentation about big data by Sanjay Sharma from Impetus Technologies. It discusses big data concepts and technologies like Hadoop, NoSQL, and MPP databases. It also covers big data tools and ecosystems, use cases, careers, and the impact of big data on IT and businesses. The presentation contains 41 slides covering these topics in detail with examples and diagrams.
Cloud expo june 2013: Building a Real Time Analytics Platform on Big Data in ...Sanjay Sharma
This document discusses building a real-time analytics platform on big data in the cloud. It outlines the need to move from batch processing to real-time analytics using approaches like streaming analytics and in-memory analytics. It provides examples of software that can be used for these approaches. The document also presents a reference architecture for a real-time analytics strategy, including components for data ingestion, processing, storage and business rules management. Impetus is introduced as a company that provides consulting and services for big data analytics.
JDE & Peoplesoft 2 _ Denise Hill _ Maintenance Scheduling of electricity and ...InSync2011
Powerco uses JDE maintenance scheduling to manage maintenance of over 2.5 million assets. Asset and maintenance data is interfaced from a GIS system. Assets are organized hierarchically and 12,000 preventative maintenance schedules have been set up. Custom applications automate updating equipment routes when assets are added or changed and generate work orders. Service providers use a web and mobile app to record inspection results and defects which interface back to JDE. The system provides visibility of asset conditions across the company.
The Service-oriented Architecture (SoA) design concept is an evolution of previous approaches to warp and encapsulate data processing while the how and where the data is processed become transparent for the service consumer. The main advantages of SoA with respect to previous efforts reside on the well- established set of XML-based open standards for defining concepts such as: the description of the service, the communication among the services, and the discovering and connection between the services.
The automation of production systems is becoming a software-intensive task, and therefore, is facing even more integration issues to those already identified in the early 80s and 90s. It is expected than the deployment of SoA via different approaches such as DPWS (Device Profile for Web Services) or OPC-UA (OPC-Unified Architecture) at the Factory Floor will relax these integration tasks.
This presentation will provide the views on how to capitalize Information Infrastructures deployed as SoA by creating a Factory InfoStore, which in a way reassembles the concepts of the Stores for Applications of the consumer electronics business. It will stress the possibilities for introducing new actors for the production automation business, and also the potential utilization of the concept by SMEs.
Using InfluxDB for Full Observability of a SaaS Platform by Aleksandr Tavgen,...InfluxData
Aleksandr Tavgen from Playtech, the world’s largest online gambling software supplier, will share how they are using InfluxDB 2.0, Flux, and the OpenTracingAPI to gain full observability of their platform. In addition, he will share how InfluxDB has served as the glue to cope with multiple sets of time series data, especially in the case of understanding online user activity — a use case that is normally difficult without the math functions now available with Flux.
Trey Weaver is an experienced software engineer and inventor with over 30 years of experience. He has worked at several technology companies including AT&T, Lucent Technologies, Hill-Rom, and startup companies. He has led engineering teams, managed budgets and schedules, and brought many innovative products to market. Weaver has expertise in a wide range of technologies including embedded systems, microcontrollers, networking, medical devices, and software development. He has developed hardware and software architectures, communication protocols, and written code for various platforms and languages.
Americas LFM User Meeting 2018 - Graham Dalton, LFMVanessa Erickson
This presentation outlines the development priorities which
have influenced the latest LFM solutions and provide an overview of the new features of the latest LFM
Server and LFM NetView.
It concludes by demonstrating how these new functionalities can solve today’s pressing problems in handling point cloud data.
Scale Your Load Balancer from 0 to 1 million TPS on AzureAvi Networks
For years, enterprises have relied on appliance-based (hardware or virtual) load balancers. Unfortunately, these legacy ADCs are inflexible at scale, costly due to overprovisioning for peak traffic, and slow to respond to changes or security incidents.
These problems are amplified as applications migrate to the cloud. In contrast, the Avi Vantage Platform not only elastically scales up and down based on real-time traffic patterns, but also offers ludicrous scale at a fraction of the cost.
Watch this webinar to see how Avi can scale up and down quickly on the Microsoft Azure Cloud.
- Configure load balancing on Azure to scale up from 0 to 1 million transactions per second (TPS) and down in under 10 minutes
- Learn why hardware or virtual appliances are not an option for modern load balancing in public clouds
- Understand how Avi’s elastic scale dramatically lowers TCO and enhances security, including DDoS attacks
Watch the full webinar: https://info.avinetworks.com/webinars-ludicrous-scale-on-azure
BIG DATA ANALYTICS MEANS “IN-DATABASE” ANALYTICSTIBCO Spotfire
Presented by: Dr. Bruce Aldridge, Sr. Industry Consultant Hi-Tech Manufacturing, Teradata
TIBCO Spotfire and Teradata: First to Insight, First to Action; Warehousing, Analytics and Visualizations for the High Tech Industry Conference
July 22, 2013 The Four Seasons Hotel Palo Alto, CA
EnGenius’ continuous effort to enable customers to approach & win wireless networking projects in the SMB space with expert advice from start to finish.
Modern Reporting at Scale: How to Distribute Information and Answers to the M...TIBCO Jaspersoft
This document discusses how to distribute information and answers to the masses through modern reporting at scale. It covers how reporting has evolved from traditional batch-based reporting to more real-time delivery through various methods like embedding in applications. The document also discusses Jaspersoft's product offerings for modern reporting, including its reporting library, server, visualization library and APIs that allow embedding reports in different formats and delivering them in real-time through various methods. It ends with discussing next steps users can take to learn more about Jaspersoft's reporting capabilities.
Dean Heimmermann has over 26 years of experience in engineering roles including project management, product development, and business development for RF and optical communication and sensor systems. He has successfully executed projects from initial engineering prototypes through volume production. As a project engineer and leader, he has been responsible for projects totaling over $30 million. Heimmermann has also held roles in technical leadership, business development, and staff management. He has a background in multiple applications including LiDAR, optical telecommunications, and defense systems.
Data Acquisition Automation for NiFi in a Hybrid Cloud environment – the Path...DataWorks Summit
Liberty Global is one of the world’s largest international TV and broadband company, operating in multiple European countries, and with tens of millions of TV, broadband internet, telephony and mobile subscribers.
The Data Solutions team's journey started last year with a strategic project that aimed to implement a state of the art Hybrid Cloud Big Data platform. In this talk, the Manager and the Platform Architect are presenting the team’s data acquisition journey which begins with implementing NiFi flows with simple Get-Put pattern and, in its the final iteration, produces a solution capable of generating complex flows automatically, leading the path to the DataOps way of working.
Example presentation implement project wireless (thai)Kero Kung
This document provides a summary of a wireless project from 2011. It discusses upgrading networks to use 802.11n wireless technology to improve user and device mobility. It also covers designing separate wireless networks for local users and guests, with guest networks configured to prevent viruses. Finally, it analyzes and compares Cisco and Aruba wireless infrastructure options by reviewing their configuration, management, reporting and security features.
Deploying R in BI and Real time ApplicationsLou Bajuk
Overview of how Spotfire and TERR enables the deployment of R language analytics into Business Intelligence and Real time applications, including several examples. Presented at useR 2014 at UCLA on 7/2/14
Extending the Reach of R to the Enterprise with TERR and SpotfireLou Bajuk
An overview of how TIBCO integrates dynamic, interactive visual applications in Spotfire with predictive and advanced analytics in the R language, using TIBCO Enterprise Runtime for R--our R-compatible, enterprise-grade platform for the R language.
Extend the Reach of R to the Enterprise (for useR! 2013)Lou Bajuk
An overview of how and why we developed TIBCO Enterprise Runtime for R (TERR), and how it helps organizations leverage the power of the R language more widely.
Big Data Day LA 2016/ Big Data Track - Apply R in Enterprise Applications, Lo...Data Con LA
Prototypes are typically re-implemented in another language due to compatibility issues with R in the enterprise, but TIBCO Enterprise Runtime for R (TERR) allows the language to be run on several platforms. Enterprise-level scalability has been brought to the R language, enabling rapid iteration without the need to recode, re-implement and test. This presentation will delve further into these topics, highlighting specific use cases and the true value that can be gained from utilizing R. The session will be followed by a lively, open Q&A discussion.
Applying R in BI and Real Time applications EARL London 2015Lou Bajuk
Overview of the challenges of applying R in enterprise analytic applications, and TIBCO's approach to these challenges with Spotfire, TERR and Streambase.
Real time applications using the R LanguageLou Bajuk
TIBCO Enterprise Runtime for R (TERR) allows for real-time analytics using the R language within TIBCO's Complex Event Processing platforms. TERR provides a faster R engine that can be embedded in TIBCO products like Spotfire and CEP workflows. This enables rapid prototyping and deployment of predictive models to monitor real-time data streams and trigger automated actions. Example use cases discussed include predictive maintenance, customer loyalty analytics, and severe weather alert tracking.
Digital Banking Operating Models
Lloyds Banking Group demonstrate how they use Splunk throughout IT Operations, supporting Digital Services such as online banking across the Group
The document is a presentation about big data by Sanjay Sharma from Impetus Technologies. It discusses big data concepts and technologies like Hadoop, NoSQL, and MPP databases. It also covers big data tools and ecosystems, use cases, careers, and the impact of big data on IT and businesses. The presentation contains 41 slides covering these topics in detail with examples and diagrams.
Cloud expo june 2013: Building a Real Time Analytics Platform on Big Data in ...Sanjay Sharma
This document discusses building a real-time analytics platform on big data in the cloud. It outlines the need to move from batch processing to real-time analytics using approaches like streaming analytics and in-memory analytics. It provides examples of software that can be used for these approaches. The document also presents a reference architecture for a real-time analytics strategy, including components for data ingestion, processing, storage and business rules management. Impetus is introduced as a company that provides consulting and services for big data analytics.
JDE & Peoplesoft 2 _ Denise Hill _ Maintenance Scheduling of electricity and ...InSync2011
Powerco uses JDE maintenance scheduling to manage maintenance of over 2.5 million assets. Asset and maintenance data is interfaced from a GIS system. Assets are organized hierarchically and 12,000 preventative maintenance schedules have been set up. Custom applications automate updating equipment routes when assets are added or changed and generate work orders. Service providers use a web and mobile app to record inspection results and defects which interface back to JDE. The system provides visibility of asset conditions across the company.
The Service-oriented Architecture (SoA) design concept is an evolution of previous approaches to warp and encapsulate data processing while the how and where the data is processed become transparent for the service consumer. The main advantages of SoA with respect to previous efforts reside on the well- established set of XML-based open standards for defining concepts such as: the description of the service, the communication among the services, and the discovering and connection between the services.
The automation of production systems is becoming a software-intensive task, and therefore, is facing even more integration issues to those already identified in the early 80s and 90s. It is expected than the deployment of SoA via different approaches such as DPWS (Device Profile for Web Services) or OPC-UA (OPC-Unified Architecture) at the Factory Floor will relax these integration tasks.
This presentation will provide the views on how to capitalize Information Infrastructures deployed as SoA by creating a Factory InfoStore, which in a way reassembles the concepts of the Stores for Applications of the consumer electronics business. It will stress the possibilities for introducing new actors for the production automation business, and also the potential utilization of the concept by SMEs.
Using InfluxDB for Full Observability of a SaaS Platform by Aleksandr Tavgen,...InfluxData
Aleksandr Tavgen from Playtech, the world’s largest online gambling software supplier, will share how they are using InfluxDB 2.0, Flux, and the OpenTracingAPI to gain full observability of their platform. In addition, he will share how InfluxDB has served as the glue to cope with multiple sets of time series data, especially in the case of understanding online user activity — a use case that is normally difficult without the math functions now available with Flux.
Trey Weaver is an experienced software engineer and inventor with over 30 years of experience. He has worked at several technology companies including AT&T, Lucent Technologies, Hill-Rom, and startup companies. He has led engineering teams, managed budgets and schedules, and brought many innovative products to market. Weaver has expertise in a wide range of technologies including embedded systems, microcontrollers, networking, medical devices, and software development. He has developed hardware and software architectures, communication protocols, and written code for various platforms and languages.
Americas LFM User Meeting 2018 - Graham Dalton, LFMVanessa Erickson
This presentation outlines the development priorities which
have influenced the latest LFM solutions and provide an overview of the new features of the latest LFM
Server and LFM NetView.
It concludes by demonstrating how these new functionalities can solve today’s pressing problems in handling point cloud data.
Scale Your Load Balancer from 0 to 1 million TPS on AzureAvi Networks
For years, enterprises have relied on appliance-based (hardware or virtual) load balancers. Unfortunately, these legacy ADCs are inflexible at scale, costly due to overprovisioning for peak traffic, and slow to respond to changes or security incidents.
These problems are amplified as applications migrate to the cloud. In contrast, the Avi Vantage Platform not only elastically scales up and down based on real-time traffic patterns, but also offers ludicrous scale at a fraction of the cost.
Watch this webinar to see how Avi can scale up and down quickly on the Microsoft Azure Cloud.
- Configure load balancing on Azure to scale up from 0 to 1 million transactions per second (TPS) and down in under 10 minutes
- Learn why hardware or virtual appliances are not an option for modern load balancing in public clouds
- Understand how Avi’s elastic scale dramatically lowers TCO and enhances security, including DDoS attacks
Watch the full webinar: https://info.avinetworks.com/webinars-ludicrous-scale-on-azure
BIG DATA ANALYTICS MEANS “IN-DATABASE” ANALYTICSTIBCO Spotfire
Presented by: Dr. Bruce Aldridge, Sr. Industry Consultant Hi-Tech Manufacturing, Teradata
TIBCO Spotfire and Teradata: First to Insight, First to Action; Warehousing, Analytics and Visualizations for the High Tech Industry Conference
July 22, 2013 The Four Seasons Hotel Palo Alto, CA
EnGenius’ continuous effort to enable customers to approach & win wireless networking projects in the SMB space with expert advice from start to finish.
Modern Reporting at Scale: How to Distribute Information and Answers to the M...TIBCO Jaspersoft
This document discusses how to distribute information and answers to the masses through modern reporting at scale. It covers how reporting has evolved from traditional batch-based reporting to more real-time delivery through various methods like embedding in applications. The document also discusses Jaspersoft's product offerings for modern reporting, including its reporting library, server, visualization library and APIs that allow embedding reports in different formats and delivering them in real-time through various methods. It ends with discussing next steps users can take to learn more about Jaspersoft's reporting capabilities.
Dean Heimmermann has over 26 years of experience in engineering roles including project management, product development, and business development for RF and optical communication and sensor systems. He has successfully executed projects from initial engineering prototypes through volume production. As a project engineer and leader, he has been responsible for projects totaling over $30 million. Heimmermann has also held roles in technical leadership, business development, and staff management. He has a background in multiple applications including LiDAR, optical telecommunications, and defense systems.
Data Acquisition Automation for NiFi in a Hybrid Cloud environment – the Path...DataWorks Summit
Liberty Global is one of the world’s largest international TV and broadband company, operating in multiple European countries, and with tens of millions of TV, broadband internet, telephony and mobile subscribers.
The Data Solutions team's journey started last year with a strategic project that aimed to implement a state of the art Hybrid Cloud Big Data platform. In this talk, the Manager and the Platform Architect are presenting the team’s data acquisition journey which begins with implementing NiFi flows with simple Get-Put pattern and, in its the final iteration, produces a solution capable of generating complex flows automatically, leading the path to the DataOps way of working.
Example presentation implement project wireless (thai)Kero Kung
This document provides a summary of a wireless project from 2011. It discusses upgrading networks to use 802.11n wireless technology to improve user and device mobility. It also covers designing separate wireless networks for local users and guests, with guest networks configured to prevent viruses. Finally, it analyzes and compares Cisco and Aruba wireless infrastructure options by reviewing their configuration, management, reporting and security features.
Deploying R in BI and Real time ApplicationsLou Bajuk
Overview of how Spotfire and TERR enables the deployment of R language analytics into Business Intelligence and Real time applications, including several examples. Presented at useR 2014 at UCLA on 7/2/14
Extending the Reach of R to the Enterprise with TERR and SpotfireLou Bajuk
An overview of how TIBCO integrates dynamic, interactive visual applications in Spotfire with predictive and advanced analytics in the R language, using TIBCO Enterprise Runtime for R--our R-compatible, enterprise-grade platform for the R language.
Extend the Reach of R to the Enterprise (for useR! 2013)Lou Bajuk
An overview of how and why we developed TIBCO Enterprise Runtime for R (TERR), and how it helps organizations leverage the power of the R language more widely.
Big Data Day LA 2016/ Big Data Track - Apply R in Enterprise Applications, Lo...Data Con LA
Prototypes are typically re-implemented in another language due to compatibility issues with R in the enterprise, but TIBCO Enterprise Runtime for R (TERR) allows the language to be run on several platforms. Enterprise-level scalability has been brought to the R language, enabling rapid iteration without the need to recode, re-implement and test. This presentation will delve further into these topics, highlighting specific use cases and the true value that can be gained from utilizing R. The session will be followed by a lively, open Q&A discussion.
Applying R in BI and Real Time applications EARL London 2015Lou Bajuk
Overview of the challenges of applying R in enterprise analytic applications, and TIBCO's approach to these challenges with Spotfire, TERR and Streambase.
Real time applications using the R LanguageLou Bajuk
TIBCO Enterprise Runtime for R (TERR) allows for real-time analytics using the R language within TIBCO's Complex Event Processing platforms. TERR provides a faster R engine that can be embedded in TIBCO products like Spotfire and CEP workflows. This enables rapid prototyping and deployment of predictive models to monitor real-time data streams and trigger automated actions. Example use cases discussed include predictive maintenance, customer loyalty analytics, and severe weather alert tracking.
RubiOne: Apache Spark as the Backbone of a Retail Analytics Development Envir...Databricks
The retail industry has a long history of fierce competition leading to innovations in marketing and operational efficiencies; however, this rapid advancement has not always kept pace with the latest advances in technology. This is evident by the abundance of business analysts at large enterprise retailers who are often constrained more by their own IT departments than by a lack of expertise or problems to solve.
RubiOne was designed as a vertically-integrated big data analytics development environment for retail business analysts and data scientists, with Apache Spark as the cornerstone of the product. It allows retailers to make data-driven decisions going beyond traditional analytics tools such as SQL and Excel. Using Apache Spark as one of the primary tools to query data and perform analytics, issues such as package installation, computational resources, and scalability are seamlessly handled by RubiOne.
In this session, you will learn how Apache Spark can serve as a shared backbone for an entire suite of enterprise services such as credential management, continuous integration, ad-hoc interactive data exploration, and task automation, while still maintaining hard enterprise requirements around security, availability, and cost. Learn from our war stories and best practices around transparently scaling Apache Spark clusters with Kubernetes, managing service and user isolation, and monitoring accurate enough for both debugging and billing. Beyond the technical aspects, we’ll also share our experiences of working with a global enterprise retailer to drive adoption of a modern big data technology stack centered around Apache Spark.
Until recently, technology was seen as a cost centre. Software was built and operated throughout different silos, with different people, culture, tools and reward systems. The software lifecycle was neglected, creating a legacy of fragile applications.
The world has changed. We are now living in a software-driven economy, disrupting traditional businesses and changing the world’s system of capitalism as we have known it for centuries.
In today's economy, engineering effectiveness is imperative to prevent business atrophy and death. This requires an energetic response.
This talk explores how to evolve engineering effectiveness in a value-centric approach, helping you move towards having autonomous teams able to promote small and frequent changes, aligned to your unique context, objectives and concerns.
The document discusses using analytics to drive business actions and decisions. It covers topics like visual data discovery, predictive analytics, optimization, alerts and automation across batch, real-time and streaming analytics. Case studies are presented in areas like retail banking, industrial equipment management and customer analytics. Both quantitative and marketing analytics are discussed as well as how they can be used together to gain business insights.
Vasu Vallabhuni has over 6 years of experience working as a Technology Analyst at Infosys. He has extensive experience with ETL tools like Informatica and databases like Oracle, Teradata, and DB2. Some of his responsibilities include designing and developing mappings between various data sources, moving code between environments, unit testing, and client interaction. He currently works on a project for Wells Fargo involving data loading from various source systems into staging and target tables using technologies like Teradata, DGC, Mulesoft, and AbInitio.
Unified Framework for Real Time, Near Real Time and Offline Analysis of Video...Spark Summit
The document discusses Conviva's Unified Framework (CUF) for analyzing video streaming data in real-time, near real-time, and offline using Spark and Databricks. It summarizes Conviva's platform for measuring video quality of experience across devices and networks. The framework unifies the three analysis stacks onto Spark to share code and insights. Using Databricks improves the offline analysis speed and enables data scientists to independently explore large datasets and build machine learning models.
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
TIBCO provides an analytics platform that delivers business value across the analytics spectrum from descriptive to predictive to prescriptive analytics. The platform includes Spotfire for visual analytics, predictive analytics using R scripting, and real-time event processing capabilities. It can consume and analyze various data sources including big data. The platform enables different types of users from data scientists to analysts to business users.
This document discusses cloud computing trends and how they relate to Nuvollo's business. It begins by outlining key cloud adoption trends seen in businesses and governments. It then defines the cloud, describing its essential characteristics, types of clouds, and service models. The document highlights benefits of cloud adoption like faster deployment, cost savings, and increased agility. It also notes potential challenges. Examples of cloud innovation are provided. The document introduces Nuvollo and describes the value it provides to customers through predictable performance, application expertise, and security. Nuvollo's portfolio and culture of customer focus are outlined.
This document discusses cloud computing trends and how they relate to Nuvollo's business. It begins by outlining key cloud adoption trends seen in businesses and governments. It then defines the cloud, describing its essential characteristics and common models. The document highlights benefits of cloud adoption like faster deployment, cost savings, and scalability. It also notes potential challenges. Examples of cloud innovation are provided. Finally, it introduces Nuvollo and describes the services and culture it offers organizations looking to leverage the cloud.
Big Data LDN 2017: How Big Data Insights Become Easily Accessible With Workfl...Matt Stubbs
This document provides an overview of how workflows can help make big data insights more accessible. It discusses how workflows allow customers to benefit from cost reductions and faster deployment times. Examples are given of customers in healthcare and banking that have reduced surgical infection rates and cut model development time in half using workflows. The document also covers how to pull insights together and deploy predictive models to external systems using tools like Tibco Statistica. It provides a technical overview of building predictive analytics workflows for big data, including examples of workflow templates for Spark, H2O, and deep learning with CNTK.
Spotfire is an analytics platform that provides value across use cases from data discovery to predictive analytics. It offers advanced analytics capabilities like predictive modeling, big data handling, and real-time monitoring. Manufacturing customers use Spotfire for applications such as quality control, reliability analysis, equipment monitoring, and supply chain optimization.
Cox Communications: Fueling a Smarter Operations CenterSoftware AG
Innovation World 2013 presentation.
It was just the first day of implementation, and the newly minted intelligent action platform had already detected a major threat in real-time. Terracotta enabled Cox Communication’s Real Time Operations Center to pinpoint onset time and origin of an equipment issue. Quickly identifying the problem and acting on it, saved a transactional impact to the field as well as the frustration of potentially thousands of customers. Cox has used these big data insights to develop more agile and lucrative systems. From tracking the daily health of product releases to solving outages more quickly, Terracotta has been valuable across business tiers.
Speaker:
Bruce Beeco
Chief Architect OSS, Cox Communications
Similar to TERR in BI and Real Time applications (20)
R Consortium update for EARL Boston Oct 2017Lou Bajuk
The document provides an overview of the R Consortium, a non-profit organization that supports the R community. It discusses the goals of promoting R's development, funding projects, and fostering collaboration between companies. It outlines the consortium's governance structure and membership levels. Recent projects funded include improving package building, localization, code coverage tools, and database interfaces. TIBCO's participation is driven by contributing to R's success and the compatibility of its products that integrate R.
Reusing and Managing R models in an EnterpriseLou Bajuk
1) The document discusses deploying, managing, and reusing R models in an enterprise environment to make data science more accessible.
2) It describes how TIBCO products like Spotfire, Statistica, and Streambase can be used to deploy R models, embed them in applications and visualizations, and score models in real-time.
3) The goal is to allow both data scientists and general users to leverage R models through these tools to drive insights, automate processes, and take real-time actions.
R consortium update EARL London Sept 2017Lou Bajuk
The document provides an overview of the R Consortium, a non-profit organization that supports the R community. It discusses the goals of promoting R's growth, funding projects, and fostering collaboration between companies. It outlines the consortium's structure, membership options, recently funded projects including improving package building and localization, and encourages involvement through advocacy, proposals, or volunteering.
Making Data Science accessible to a wider audienceLou Bajuk
TIBCO's Lou Bajuk talks about the challenges to making Data Science accessible to a wider audience, and how the TIBCO Analytics platform helps our customers tackle those challenges.
The document discusses the R Consortium, a non-profit organization that supports the R community. It was founded in 2015 to promote R's growth as a leading data science platform. The R Consortium funds projects and working groups through an Infrastructure Steering Committee to support R and foster collaboration. It is housed at the Linux Foundation to ensure its long-term support of the R community. Membership provides opportunities to influence projects and have a voice in the R community.
Tibco streaming analytics overview and roadmapLou Bajuk
This document discusses TIBCO's streaming analytics products and services. It provides an overview of TIBCO Streaming Analytics, BusinessEvents, and StreamBase, highlighting their developer and business user features. It also discusses TIBCO Live Datamart and various accelerators and integrations with predictive analytics and other TIBCO products. The document is confidential and its contents are subject to change.
Embracing data science for smarter analytics appsLou Bajuk
This document discusses TIBCO's plans to embrace data science and make advanced analytics more accessible. It highlights TIBCO Enterprise Runtime for R (TERR), which allows embedding predictive analytics and the R programming language into TIBCO products like Spotfire for easier use by analysts, engineers and business users. TIBCO aims to help more users leverage data science through guided applications, visual tools, and integration of TERR and other analytics tools into a unified ecosystem.
The R Consortium is a non-profit organization that supports the R community. Its goals are to create infrastructure and standards to benefit all R users, promote best practices, and support growth and adoption of R. The board of directors and infrastructure steering committee work on collaborative projects. Current projects include improving package development, database interfaces, localization, teaching, and geospatial analysis. Working groups explore new technologies to benefit the R ecosystem.
Slides from my 12/10/14 Webinar with the Bloor Group on the importance of an Analytics Platform for delivering value across your organization, and how TIBCO Spotfire meets that need.
As the number of packages available for R continues to grow, maintaining and testing these packages becomes more difficult. This difficulty is compounded as independent implementations of the R language, such as TIBCO Enterprise Runtime for R (TERR), are developed. To address this, we have created a test automation framework for testing packages with both TERR and R. We will describe how the framework automatically creates tests from a package's source files. Issues with testing on multiple platforms will be discussed. Suggestions for improving packages with tests will also be presented.
The Compatibility Challenge:Examining R and Developing TERRLou Bajuk
Slides from Michael Sannella, architect for TIBCO Enterprise Runtime for R (TERR), on the the Compatibility Challenge: Examining R and Developing TERR. Presented at useR 2014
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2. R in Business Intelligence and Real-time Applications
• TIBCO, S+, and embracing R
• Challenges of R for Enterprise applications
• TIBCO Enterprise Runtime for R (TERR)
– Motivation and Benefits
• Applications of R/TERR
• Learn more and try it yourself
- 2
3. Milestones on the Journey to TERR
• John Chambers developed the S language at Bell Labs
– Starting in the mid 70’s
• Insightful (Statsci) founded to commercial S as S+ in 1987
– The “plus”: statistical libraries, documentation, and support
– Later focus on commercial users, ease of use, server integration
• R: development begun by Ross Ihaka and Robert Gentleman at University of
Auckland in mid 90’s
• Insightful acquired by TIBCO in 2008
– Spotfire (for Data Discovery and Visualization) acquired in 2007
• Focus on applying Advanced Analytics in Spotfire & TIBCO applications
– Step 1: Embrace R
- 3
4. Embracing R
• Spotfire Statistics Server
– Integration of R & S+ into Spotfire
applications
• Later added SAS® & MATLAB®
– Leverage the interactive visualizations,
data access and application
development of Spotfire
• Well received—but our Enterprise
customers need more
– R provides tremendous benefits to
statisticians
– But large enterprises are often
challenged to leverage that value
- 4
8. TERR in Spotfire
• Powers Predictive Modeling & Forecast Tools
• Easily enhance Spotfire analyses and applications with R language scripts
• TERR is embedded in Spotfire Analyst/Desktop
– No other software required, no connection to server required. Simply works.
• Spotfire analyses that use TERR can be deployed to the web
9. Predicting the Business
Customer Churn:
• Retain your most profitable customers
• Increase upsell, decrease churn
Fraud Detection:
• Reduce losses due to fraudulent
transactions
Supply Chain Optimization:
• Anticipate peaks and lulls
• Optimize distribution centers
HR Planning:
• Predict employee attrition and optimize
retention
18. TIBCO Cloud Compute Grid
• High performance computing on the cloud
– Available on TIBCO Cloud Marketplace
• Robust DataSynapse GridServer architecture
– Used by Wall Street to manage 10K’s nodes
– Java, .NET, and REST APIs (JSON)
• Perfect for pure computational work
– Vastly easier to use for applications like Monte
Carlo simulations than Map-Reduce
– Run complex statistical models multiple orders of
magnitude faster than open source R on a single
computer
– Unparalleled scalability without upfront capital
investment
• Easy to get started
– Uses your Amazon EC2 account
19. TERR for individual R users
• Empower R users
– Enterprise platform for the deployment and
integration of your work—without having to rewrite
it!
• TERR Developer Edition
– Full version of TERR engine for testing code prior to
deployment
• Compatible with RStudio & ESS Emacs
– Free for non-production use
– Supported through Community site
– Available at Tap.tibco.com
-
20. Summary
• TIBCO makes the power of R available across the enterprise
– Ad-hoc Predictive Analytics for Data Scientists
• Spotfire & TERR
– Guided Analytic Applications
• Spotfire & Statistics Services predictive ecosystem, starring TERR
– Event-driven, real-time analytics
• Spotfire Event Analytics, TIBCO CEP & TERR
• TERR is R for the Enterprise
– Enables customers to develop code in open source R, then deploy their R code on
commercially-supported and robust platforms—without recoding, saving time &
money
– Enables TIBCO, partners & customers products to tightly & efficiently embed R
language functionality
21. • TERR Community at TIBCOmmunity.com
– Resources, Documentation, FAQs, Forums
– More info at spotfire.tibco.com/terr
• TERR Developer Edition
– Full version of TERR engine for testing code prior to deployment
– Supported through TIBCOmmunity, download via tap.tibco.com
• Presentations: http://www.slideshare.net/loubajukyorgan/presentations
Learn more and Try it yourself