Real time analytics platform rtap applications pdf Nathan

real time analytics platform rtap applications pdf

Cloud Computing Cloud Computing Distributed Computing I would add to this list IRI Voracity, the big data discovery, integration, migration, governance, and analytics platform introduced in 2016 to address the performance, security, quality, complexity and cost issues in legacy vendor and speciality tools.

16 Top Big Data Analytics Platforms InformationWeek

Application of Big Data in Real Life Intellipaat Blog. Towards a real-time big data analytics platform for health applications Dillon Chrimes* Vancouver Island Health Authority, University of Victoria, Victoria, BC, Canada Email: dillon.chrimes@viha, Cloud technology is fostering extreme fluidity among teams, workflows, data, and other assets. The closer collaboration it enables between IT and product design, marketing, and sales allows companies to innovate faster and more effectively — if they’re prepared to change their structure and culture to take advantage of this opportunity..

17/07/2018 · The architecture for this type of real-time stream processing must deal with data import, processing, storage, and analysis of hundreds of millions of events per hour. The architecture below depicts just such a system. Introduction to Streams Concepts – Stream data model and architecture – Stream Computing, Sampling data in a stream – Filtering streams – Counting distinct elements in a stream – Estimating moments – Counting oneness in a window – Decaying window – Realtime Analytics Platform(RTAP) applications – case studies – real time sentiment analysis, stock market predictions.

24 Business Goals: Build in-house Analytics Platform for ROI measurement and performance analysis of every product and feature delivered by the e-commerce platform; Real time processing of data from different sources Extensible wrt. deployment of additional use cases and edge adapters Short application development cycles

SE7204 BIG DATA ANALYTICS L T P C 3003 OBJECTIVES: To explore the fundamental concepts of big data analytics To learn to analyze the big data using intelligent techniques. To understand the various search methods and visualization techniques. Actually, we live in time in which big data are explored by enterprises to discover facts they did’nt know before. Many domains applications are based on big data analytic, such as web semantic analytic, business analyzing customer’s profiles, healthcare, weather etc.

Compare and contrast RTAP (real time analytics platform) and RTSA (real time sentiment analysis)? Analyze BTL 4 16 Prove by induction on m that 1+3+5+· · ·+(2 m−1) = 2 Analyze BTL 4 17 Can you identify the following? Evaluate BTL 5 . Ms.SUMA.S and Ms.ANITHA.R IT6006-Data Analytics Page 5 of 9 Suppose our stream consists of the integers 3, 1, 4, 1, 5, 9, 2, 6, 5. Our hash functions will real-time and history data combined and mined interactively predominantly RAM -based processing In this talk, we will present our efforts and experience on building real-time analytical processing framework for …

Cloud technology is fostering extreme fluidity among teams, workflows, data, and other assets. The closer collaboration it enables between IT and product design, marketing, and sales allows companies to innovate faster and more effectively — if they’re prepared to change their structure and culture to take advantage of this opportunity. Applications of big data in the energy and utilities industry Smart meter readers allow data to be collected almost every 15 minutes as opposed to once a day with the old meter readers. This granular data is being used to analyze consumption of utilities better which allows for improved customer feedback and better control of utilities use.

“Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data”. 2012 7.Hadoop Streaming.Design of HDFS-Java interfaces to HDFSBasicsDeveloping a Map Reduce Application-How Map Reduce Works-Anatomy of a Map Reduce Job runFailures-Job Scheduling-Shuffle and Sort – Task execution . MK Elsevier. Chris Eaton.Real time Analytics Platform(RTAP) Applications . … Take advantage of real-time data streams. Unleash the potential of real-time and streaming analytics by leveraging the power of serverless Spark streaming and machine learning. Talend Real-Time Big Data integration generates native code that can run in your cloud, hybrid or multi-cloud environment

MISSOULA, MONTANA, 11 February 2014 – GCS and Sharpe Engineering, two leading developers of Big Data applications, are teaming to build and deliver next-generation streaming analytics solutions based upon the IBM InfoSphere Streams platform. The GCS – Sharpe team will focus upon real-time analytical processing (RTAP) applications in key verticals including healthcare, energy, retail, cyber Introduction to Streams Concepts – Stream data model and architecture – Stream Computing, Sampling data in a stream – Filtering streams – Counting distinct elements in a stream – Estimating moments – Counting oneness in a window – Decaying window – Realtime Analytics Platform(RTAP) applications – case studies – real time sentiment analysis, stock market predictions.

Estimating Moments , Real Time Analytics Platform(RTAP) Applications , Case Studies - Real Time Sentiment Analysis. [8] UNIT III Hadoop : History of Hadoop , Hadoop Distributed File System (HDFS) , Components of Hadoop , Analyzing the Data with Hadoop , Scaling Out , Hadoop Streaming ,Design of HDFS , Developing a Map Reduce Application , How Map Reduce Works , Anatomy of a Map … GATE Preparation, nptel video lecture dvd, computer-science-and-engineering, data-analytics, modern-data-analytic-tools, Big Data Platform, Platform, conventional

Real Time Analytics Platform – Realtime Analytics Platform(RTAP) applications – case studies – real time sentiment analysis, stock market predictions. UNIT IV FREQUENT ITEMSETS AND CLUSTERING 9

Amazon Kinesis is a platform for streaming data on AWS, making it easy to load and analyze streaming data, and also providing the ability for you to build custom streaming data applications for specialized needs. With Kinesis, you can ingest real-time data such as application logs, website clickstreams, IoT telemetry data, and more into your databases, data lakes, and data warehouses, or build 17/07/2018В В· The architecture for this type of real-time stream processing must deal with data import, processing, storage, and analysis of hundreds of millions of events per hour. The architecture below depicts just such a system.

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real time analytics platform rtap applications pdf

Real Time Analytics Platform Rtap.io. “Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data”. 2012 7.Hadoop Streaming.Design of HDFS-Java interfaces to HDFSBasicsDeveloping a Map Reduce Application-How Map Reduce Works-Anatomy of a Map Reduce Job runFailures-Job Scheduling-Shuffle and Sort – Task execution . MK Elsevier. Chris Eaton.Real time Analytics Platform(RTAP) Applications . …, Real-Time Analytics/Decision Requirement Customer Influence Behavior Product Recommendations that are Relevant & Compelling Friend Invitations to join a Game or Activity that expands business Preventing Fraud as it is Occurring & preventing more proactively Learning why Customers Switch to competitors and their offers; in time to Counter Improving the Marketing Effectiveness of a ….

Overview of Azure Stream Analytics Microsoft Docs. PDF On Jan 1, 2017, Dillon Chrimes and others published Towards a real-time big data analytics platform for health applications For full functionality of ResearchGate it is necessary to enable, SAP HANA provides a real-time analytics platform using an in-memory database. Organizations can combine large data sets from their operational systems and other sources and perform complex queries in real time, typically in milliseconds..

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real time analytics platform rtap applications pdf

16 Top Big Data Analytics Platforms InformationWeek. Deliver trusted, timely data with a flexible, real-time application integration platform that increases agility and productivity. View Details More Cloud API Services Products › Vitria Operational Intelligence (OI) represents a groundbreaking approach to analyzing and acting on streaming Big Data. It is the only fully integrated platform that blends together capabilities for continuous, real-time analysis of both streaming and stored data, with the ability to take immediate process-based action on the discovered insights..

real time analytics platform rtap applications pdf

  • Integral University Lucknow Department of Computer
  • Streaming Data Analytics Real Time Big StreamAnalytix

  • UNIT V CASE STUDIES AND REAL-WORLD APPLICATIONS 9 Real world design constraints - Applications - Asset management, Industrial automation, smart grid, Commercial building automation, Smart cities - participatory sensing - Data Analytics for IoT – Software & Management Tools for IoT Cloud Storage Models & Communication APIs - Cloud for IoT - Amazon Web Services for IoT. Cloud technology is fostering extreme fluidity among teams, workflows, data, and other assets. The closer collaboration it enables between IT and product design, marketing, and sales allows companies to innovate faster and more effectively — if they’re prepared to change their structure and culture to take advantage of this opportunity.

    24 Business Goals: Build in-house Analytics Platform for ROI measurement and performance analysis of every product and feature delivered by the e-commerce platform; Real-time Analytics using IBM InfoSphere Streams 1. Real-Time Analytics on Data in Motion Analyze More, Speed Actions, Store Less 1 Anand Ladda Technical Sales Specialist – Streams/BigInsights - Mid-Atlantic Region For questions about this presentation contact Anand Ladda aladda@us.ibm.com

    Azure Stream Analytics seamlessly integrates with Azure IoT Hub and Azure IoT Suite to enable powerful real-time analytics on data from your IoT devices and applications. Additionally, Azure Stream Analytics is available on Azure IoT Edge . MapReduce platform to one real-time analytics platform. Furthermore, another class of emerging compute applications layer on the same dataset – high- performance computing (HPC) simulations.

    Vitria Operational Intelligence (OI) represents a groundbreaking approach to analyzing and acting on streaming Big Data. It is the only fully integrated platform that blends together capabilities for continuous, real-time analysis of both streaming and stored data, with the ability to take immediate process-based action on the discovered insights. Applications of big data in the energy and utilities industry Smart meter readers allow data to be collected almost every 15 minutes as opposed to once a day with the old meter readers. This granular data is being used to analyze consumption of utilities better which allows for improved customer feedback and better control of utilities use.

    Applications for tracking goods, real time information exchange about inventory among suppliers and retailers and automated delivery will increase the supply chain efficiency. According to GE the improvement industry productivity will generate $10 trillion to … If you’re considering using an analytics platform other than, or in addition to, Google Analytics, it can be a bit difficult to determine what the best alternative will be.

    Hive – Data Types and File Formats – HiveQL Data Definition – HiveQL Data Manipulation – HiveQL Queries OUTCOMES: TOTAL: 45 PERIODS At the end of this course, the students will be able to: Understand how to leverage the insights from big data analytics Analyze data by utilizing various statistical and data mining approaches Perform analytics on real-time streaming data Understand … eAnalytics shares a number of features with Piwik and Open Web Analytics, including a comprehensive reporting system, a dashboard that you can easily customize, and the ability to track metrics and statistics in real time.

    Take advantage of real-time data streams. Unleash the potential of real-time and streaming analytics by leveraging the power of serverless Spark streaming and machine learning. Talend Real-Time Big Data integration generates native code that can run in your cloud, hybrid or multi-cloud environment The ability to analyze data in motion is called real-time analytic processing (RTAP). IBM InfoSphere Streams takes a fundamentally different approach to Big Data analytics and differentiates itself with its distributed runtime platform, programming model, and tools for developing and debugging analytic applications that have a high volume and variety of data types. Using in-memory techniques

    Vitria Operational Intelligence (OI) represents a groundbreaking approach to analyzing and acting on streaming Big Data. It is the only fully integrated platform that blends together capabilities for continuous, real-time analysis of both streaming and stored data, with the ability to take immediate process-based action on the discovered insights. Actually, we live in time in which big data are explored by enterprises to discover facts they did’nt know before. Many domains applications are based on big data analytic, such as web semantic analytic, business analyzing customer’s profiles, healthcare, weather etc.

    MapReduce platform to one real-time analytics platform. Furthermore, another class of emerging compute applications layer on the same dataset – high- performance computing (HPC) simulations. Real time processing of data from different sources Extensible wrt. deployment of additional use cases and edge adapters Short application development cycles

    Actually, we live in time in which big data are explored by enterprises to discover facts they did’nt know before. Many domains applications are based on big data analytic, such as web semantic analytic, business analyzing customer’s profiles, healthcare, weather etc. Vitria Operational Intelligence (OI) represents a groundbreaking approach to analyzing and acting on streaming Big Data. It is the only fully integrated platform that blends together capabilities for continuous, real-time analysis of both streaming and stored data, with the ability to take immediate process-based action on the discovered insights.

    real time analytics platform rtap applications pdf

    Estimating Moments , Real Time Analytics Platform(RTAP) Applications , Case Studies - Real Time Sentiment Analysis. [8] UNIT III Hadoop : History of Hadoop , Hadoop Distributed File System (HDFS) , Components of Hadoop , Analyzing the Data with Hadoop , Scaling Out , Hadoop Streaming ,Design of HDFS , Developing a Map Reduce Application , How Map Reduce Works , Anatomy of a Map … Hive – Data Types and File Formats – HiveQL Data Definition – HiveQL Data Manipulation – HiveQL Queries OUTCOMES: TOTAL: 45 PERIODS At the end of this course, the students will be able to: Understand how to leverage the insights from big data analytics Analyze data by utilizing various statistical and data mining approaches Perform analytics on real-time streaming data Understand …

    Recent Press Sharpe Engineering Inc.

    real time analytics platform rtap applications pdf

    Agility in the age of the cloud MIT Sloan Webinar Analytics. Next-Gen Analytics . A comprehensive solution to meet the breadth of all analytics needs. Get the right data, to the right people, at the right time with analytics for everyone in your organization., Applications for tracking goods, real time information exchange about inventory among suppliers and retailers and automated delivery will increase the supply chain efficiency. According to GE the improvement industry productivity will generate $10 trillion to ….

    Holistic Approach to Big Data #3 Governance for the Big

    Recent Press Sharpe Engineering Inc.. Compare and contrast RTAP (real time analytics platform) and RTSA (real time sentiment analysis)? Analyze BTL 4 16 Prove by induction on m that 1+3+5+· · ·+(2 m−1) = 2 Analyze BTL 4 17 Can you identify the following? Evaluate BTL 5 . Ms.SUMA.S and Ms.ANITHA.R IT6006-Data Analytics Page 5 of 9 Suppose our stream consists of the integers 3, 1, 4, 1, 5, 9, 2, 6, 5. Our hash functions will, Cloud technology is fostering extreme fluidity among teams, workflows, data, and other assets. The closer collaboration it enables between IT and product design, marketing, and sales allows companies to innovate faster and more effectively — if they’re prepared to change their structure and culture to take advantage of this opportunity..

    – Realtime Analytics Platform(RTAP) applications – case studies – real time sentiment analysis, stock market predictions. UNIT IV FREQUENT ITEMSETS AND CLUSTERING 9 – Realtime Analytics Platform(RTAP) applications – case studies – real time sentiment analysis, stock market predictions. UNIT IV FREQUENT ITEMSETS AND CLUSTERING 9

    Applications for tracking goods, real time information exchange about inventory among suppliers and retailers and automated delivery will increase the supply chain efficiency. According to GE the improvement industry productivity will generate $10 trillion to … Take advantage of real-time data streams. Unleash the potential of real-time and streaming analytics by leveraging the power of serverless Spark streaming and machine learning. Talend Real-Time Big Data integration generates native code that can run in your cloud, hybrid or multi-cloud environment

    If you’re considering using an analytics platform other than, or in addition to, Google Analytics, it can be a bit difficult to determine what the best alternative will be. platform is to create trusted information and deliver it to consuming analytical, mobile, and enterprise applications. Because the veracity of data is decreasing as the sources and variety of …

    Compare and contrast RTAP (real time analytics platform) and RTSA (real time sentiment analysis)? Analyze BTL 4 16 Prove by induction on m that 1+3+5+· · ·+(2 m−1) = 2 Analyze BTL 4 17 Can you identify the following? Evaluate BTL 5 . Ms.SUMA.S and Ms.ANITHA.R IT6006-Data Analytics Page 5 of 9 Suppose our stream consists of the integers 3, 1, 4, 1, 5, 9, 2, 6, 5. Our hash functions will “Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data”. 2012 7.Hadoop Streaming.Design of HDFS-Java interfaces to HDFSBasicsDeveloping a Map Reduce Application-How Map Reduce Works-Anatomy of a Map Reduce Job runFailures-Job Scheduling-Shuffle and Sort – Task execution . MK Elsevier. Chris Eaton.Real time Analytics Platform(RTAP) Applications . …

    Real-time analytics is becoming a fundamental differentiator in all industry markets: for instance, predictive maintenance for the Internet of Things (IoT), risk management for banking, fraud detection for e-retail, and predictive analytics for customer retention and uplift. And modern systems need to support the most demanding analytics initiatives and adapt to big data strategies as business The ability to analyze data in motion is called real-time analytic processing (RTAP). IBM InfoSphere Streams takes a fundamentally different approach to Big Data analytics and differentiates itself with its distributed runtime platform, programming model, and tools for developing and debugging analytic applications that have a high volume and variety of data types. Using in-memory techniques

    Analytics Platform(RTAP) applications – case studies – real time sentiment analysis, stock market predictions. FREQUENT ITEMSETS AND CLUSTERING Mining Frequent itemsets – Market based model – Apriori Algorithm – Handling large data sets in Main memory – Limited Pass algorithm – Counting frequent itemsets in a stream – Clustering Techniques – Hierarchical – K- Means Books big data analytics beyond hadoop real time applications with storm spark and more hadoop alternatives ft press PDF, ePub, Mobi Page 1 big data analytics beyond hadoop real time applications with storm spark and more hadoop alternatives ft press

    Moments – Counting Oneness in a Window – Decaying Window - Real time Analytics Platform(RTAP) Applications - Case Studies - Real Time Sentiment Analysis, Stock Market Predictions. UNIT - IV SE7204 BIG DATA ANALYTICS L T P C 3003 OBJECTIVES: To explore the fundamental concepts of big data analytics To learn to analyze the big data using intelligent techniques. To understand the various search methods and visualization techniques.

    Moments – Counting Oneness in a Window – Decaying Window - Real time Analytics Platform(RTAP) Applications - Case Studies - Real Time Sentiment Analysis, Stock Market Predictions. UNIT - IV Real-time Analytics using IBM InfoSphere Streams 1. Real-Time Analytics on Data in Motion Analyze More, Speed Actions, Store Less 1 Anand Ladda Technical Sales Specialist – Streams/BigInsights - Mid-Atlantic Region For questions about this presentation contact Anand Ladda aladda@us.ibm.com

    Real-time Analytics using IBM InfoSphere Streams 1. Real-Time Analytics on Data in Motion Analyze More, Speed Actions, Store Less 1 Anand Ladda Technical Sales Specialist – Streams/BigInsights - Mid-Atlantic Region For questions about this presentation contact Anand Ladda aladda@us.ibm.com Actually, we live in time in which big data are explored by enterprises to discover facts they did’nt know before. Many domains applications are based on big data analytic, such as web semantic analytic, business analyzing customer’s profiles, healthcare, weather etc.

    Compare and contrast RTAP (real time analytics platform) and RTSA (real time sentiment analysis)? Analyze BTL 4 16 Prove by induction on m that 1+3+5+· · ·+(2 m−1) = 2 Analyze BTL 4 17 Can you identify the following? Evaluate BTL 5 . Ms.SUMA.S and Ms.ANITHA.R IT6006-Data Analytics Page 5 of 9 Suppose our stream consists of the integers 3, 1, 4, 1, 5, 9, 2, 6, 5. Our hash functions will Real-time Application Platform (RTAP) Reliable and Extensible Solution for Real-Time System Monitoring, Protection and Control for Mission-Critical Industries The technology provider is looking at potential licensee to commercialise this innovation. RTAP System Block Diagram This invention is protected under the Malaysian Patent Protection Law. The system and method of the proposed …

    UNIT II HADOOP FRAMEWORK 9 Distributed File Systems Large

    real time analytics platform rtap applications pdf

    Master of engineering syllabus Docsity. 24 Business Goals: Build in-house Analytics Platform for ROI measurement and performance analysis of every product and feature delivered by the e-commerce platform;, increase the robustness of this real-time analytics processing platform. • Access application data programmatically using REST interfaces from any portion of a Streams application..

    Talend A Cloud Data Integration Leader (modern ETL)

    real time analytics platform rtap applications pdf

    Cisco Integrated Infrastructure for Big Data and Analytics. Estimating Moments – Counting Oneness in a Window – Decaying Window - Real time Analytics Platform(RTAP) Applications - Case Studies - Real Time Sentiment Analysis, Stock … Applications for tracking goods, real time information exchange about inventory among suppliers and retailers and automated delivery will increase the supply chain efficiency. According to GE the improvement industry productivity will generate $10 trillion to ….

    real time analytics platform rtap applications pdf


    Azure Stream Analytics is an event-processing engine that allows you to examine high volumes of data streaming from devices. Incoming data can be from devices, sensors, web sites, social media feeds, applications, and more. It also supports extracting information from data streams, identifying Estimating Moments , Real Time Analytics Platform(RTAP) Applications , Case Studies - Real Time Sentiment Analysis. [8] UNIT III Hadoop : History of Hadoop , Hadoop Distributed File System (HDFS) , Components of Hadoop , Analyzing the Data with Hadoop , Scaling Out , Hadoop Streaming ,Design of HDFS , Developing a Map Reduce Application , How Map Reduce Works , Anatomy of a Map …

    Books big data analytics beyond hadoop real time applications with storm spark and more hadoop alternatives ft press PDF, ePub, Mobi Page 1 big data analytics beyond hadoop real time applications with storm spark and more hadoop alternatives ft press platform is to create trusted information and deliver it to consuming analytical, mobile, and enterprise applications. Because the veracity of data is decreasing as the sources and variety of …

    GATE Preparation, nptel video lecture dvd, computer-science-and-engineering, data-analytics, decaying-window, Big Data Platform, Platform, conventional systems, Web Towards a real-time big data analytics platform for health applications Dillon Chrimes* Vancouver Island Health Authority, University of Victoria, Victoria, BC, Canada Email: dillon.chrimes@viha

    Real Time Analytics Platform Applications for tracking goods, real time information exchange about inventory among suppliers and retailers and automated delivery will increase the supply chain efficiency. According to GE the improvement industry productivity will generate $10 trillion to …

    Introduction to Streams Concepts – Stream data model and architecture – Stream Computing, Sampling data in a stream – Filtering streams – Counting distinct elements in a stream – Estimating moments – Counting oneness in a window – Decaying window – Realtime Analytics Platform(RTAP) applications – case studies – real time sentiment analysis, stock market predictions. MapReduce platform to one real-time analytics platform. Furthermore, another class of emerging compute applications layer on the same dataset – high- performance computing (HPC) simulations.

    tion that some of these applications demand real-time ana-lytics as well as long-term global data mining illustrates the interplay and complementary roles of Fog and Cloud. We conclude with comments about the state of the Fog Com-puting and discussion of future work. 2. THE FOG COMPUTING PLATFORM 2.1 Characterization of Fog Computing Fog Computing is a highly virtualized platform … • RTAP: Real‐Time Analytics Processing Big Data Analytics • Big data is more real‐time in nature than traditional DW applications • Traditional DW architectures (e.g. Exadata, Teradata) are not well‐ suited for big data apps • Shared nothing, massively parallel processing, scale out architectures are well‐suited for big data apps 19. Big Data Technology 21. Cloud Computing

    Real-time Application Platform (RTAP) Reliable and Extensible Solution for Real-Time System Monitoring, Protection and Control for Mission-Critical Industries The technology provider is looking at potential licensee to commercialise this innovation. RTAP System Block Diagram This invention is protected under the Malaysian Patent Protection Law. The system and method of the proposed … retrieve data in real time. Taking advantage of the open platform for analytics from Intel, deploy Trustway system for massive-scale data mining and analysis. TECHNICAL RESULTS • Enhanced storage capacity for large data. Apache Hadoop provided a mass data storage solution with high fault tolerance and throughput, allowing reliable storage for massive information and seamless expansion

    Applications of big data in the energy and utilities industry Smart meter readers allow data to be collected almost every 15 minutes as opposed to once a day with the old meter readers. This granular data is being used to analyze consumption of utilities better which allows for improved customer feedback and better control of utilities use. Real Time Analytics Platform

    GATE Preparation, nptel video lecture dvd, computer-science-and-engineering, data-analytics, decaying-window, Big Data Platform, Platform, conventional systems, Web Analytics Platform(RTAP) applications – case studies – real time sentiment analysis, stock market predictions. FREQUENT ITEMSETS AND CLUSTERING Mining Frequent itemsets – Market based model – Apriori Algorithm – Handling large data sets in Main memory – Limited Pass algorithm – Counting frequent itemsets in a stream – Clustering Techniques – Hierarchical – K- Means

    Actually, we live in time in which big data are explored by enterprises to discover facts they did’nt know before. Many domains applications are based on big data analytic, such as web semantic analytic, business analyzing customer’s profiles, healthcare, weather etc. Estimating Moments – Counting Oneness in a Window – Decaying Window - Real time Analytics Platform(RTAP) Applications - Case Studies - Real Time Sentiment Analysis, Stock …

    real time analytics platform rtap applications pdf

    Spotify, which is an on-demand music providing platform, uses big data analytics and collect data from all of the users around the globe and then uses the analyzed data to give informed music recommendations and suggestions to every individual user. increase the robustness of this real-time analytics processing platform. • Access application data programmatically using REST interfaces from any portion of a Streams application.