WSO2Con Asia 2014 - Simultaneous Analysis of Massive Data Streams in real-time and Batch

Data analysis is an exploratory process that requires a variety of tools and a flexible data store. Data analysis projects are easy to start but quickly become difficult to manage and error prone when depending on file-based data storage. Relational databases are poorly equipped to accommodate the dynamic demands complex analysis. This talk describes best practices for using MongoDB for analytics projects. Examples will be drawn from a large scale text mining project (approximately 25 million documents) that applies machine learning (neural networks and support vector machines) and statistical analysis. Tools discussed include R, Spark, Python scientific stack, and custom pre-processing scripts but the focus is on using these with the document database.

Tecnologia

Agenda
• How massive data streams created
• How to receive
• How to store
• How to analyze, batch vs real-time
• WSO2 Big Data solution
• Demo

Massive Data Streams -> Data Streams with Big Data

What is Big Data?
❏ The 3 Vs
❏ Velocity
❏ Volume
❏ Variety
Image Source: http://akrayasolutions.com/big-data/

Where does it originate from?
• Machine logs
• Social media
• Archives
• Traffic information
• Weather data
• Sensor data (IoT)

What do I do with it?
Create intelligence..
• Should I take an umbrella to work today?
• What is the best route to go back home?
• What are the current market trends?
• Are my servers running healthily?

Protocols used to publish data..
• HTTP
• MQTT
• Zigbee
• Thrift
• Avro
• ProtoBuf

How to store the data?
• Relational databases
• Block data stores
-> HDFS
• Column oriented
-> HBase
-> Cassandra
• Document based
-> MongoDB
-> CouchDB
• In-Memory
-> VoltDB
A
C P

How to analyse data?
• Two options:
-> Batch processing: Schedule data processing jobs
and receive the processed data later
-> Real-time processing: The queries are executed
and the results are retrieved instantly

Analysing data..
• Batch processing
-> Apache Hadoop: Map/Reduce processing system
and a distributed file system

Analysing data..
• Batch processing - Data Warehouse
-> Apache Hive - Hadoop based framework for working
on large scale data stores with SQL-like queries
INSERT OVERWRITE TABLE UserTable SELECT userName, COUNT(DISTINCT
orderID),SUM(quantity) FROM PhoneSalesTable WHERE version= "1.0.0"
GROUP BY userName;

Analysing data..
• Batch processing - In-Memory Computing
-> Apache Spark - Functional programming model, in-
memory computing, claims 10x - 100x faster than
Hadoop

Analysing data..
• Real-time processing - Stream Processing
-> Apache Storm - Distributed and fault-tolerant
Spouts Bolts

Analysing data..
• Real-time processing - Complex Event Processing
-> WSO2 Siddhi:

$Big Data Architecture with WSO2.. • Data Streams { 'name':'phone.retail.shop', 'version':'1.0.0', 'nickName': 'Phone_Retail_Shop', 'description': 'Phone Sales', 'metaData':[ {'name':'clientType','type':'STRING'} ], 'payloadData':[ {'name':'brand','type':'STRING'}, {'name':'quantity','type':'INT'}, {'name':'total','type':'INT'}, {'name':'user','type':'STRING'} ] } The common stream format used in both CEP and BAM; The stream definition contains the stream name, version and other attributes that makes up the stream.$

Big Data Architecture with WSO2..
• WSO2 BAM
-> Data Receiver - High performance binary format data
publishing with Apache Thrift, shared with WSO2 CEP
-> Data Storage - Cassandra for highly scalable data store
-> Data Analyzer - Hive based batch processing

Big Data Architecture with WSO2..
• WSO2 BAM..
-> Activity Monitoring: Implemented using a custom indexing
mechanism to instantly search for events of a specific activity in
the system

Big Data Architecture with WSO2..
• WSO2 BAM..
-> Incremental Data Processing - Customized Hive to support
incremental data processing:
@Incremental (name="salesAnalysis" , tables="PhoneSalesTable")
SELECT brandname,
Count(DISTINCT orderid),
Sum(quantity)
FROM phonesalestable
WHERE version = "1.0.0"
GROUP BY brandname;

Big Data Architecture with WSO2..
• WSO2 CEP
-> Same data receiver as BAM, where this is the point where the
same event is sent to both servers, where BAM for batch
processing and CEP for real-time processing of the same data
streams
-> Real-time in-memory processing, based on WSO2 Siddhi
engine, with data adapters for receiving and sending event with
different data types and transports, e.g. XML, JSON, Text, HTTP,
JMS, SMTP

Mais conteúdo relacionado

Mais procurados

Dan Sullivan - Data Analytics and Text Mining with MongoDB - NoSQL matters Du...

NoSQLmatters

Webinar: Managing Real Time Risk Analytics with MongoDB

Abstract: Cxense Insight helps companies to understand their audience and build great online experiences. Our interactive UI and APIs help customers to annotate, filter, segment and target their users based on the visited content and actions in realtime. Today we already track more than half a billion of unique user identities across more than 5000 web-sites, contributing to more than 10 billions of analytics events on a monthly basis. To leverage these amounts of data in realtime, we built a large distributed system relying on the concepts familiar from databases, information retrieval and data mining. The first part of this talk will therefore give an insight into the challenges, the architecture and the techniques we have used. While the second part of the talk will briefly demonstrate our UI and APIs in action. We hope that both parts will be interesting for undergraduate students taking IR/DB courses as well as PhD students, experienced researchers and staff.

Leveraging Big Data and Real-Time Analytics at Cxense

Simon Lia-Jonassen

With systems composed of multiple, collaborating services, there is a vast quantity of enterprise data scattered across heterogeneous data sources. Data integration allows businesses to combine data residing in different sources to provide users a consolidated view. How you choose to use, integrate with, and analyze enterprise data may be different than what you're used to. This session will discuss how Ballerina can be used to solve this problem. The following key aspects will also be discussed during the talk. Connecting to different data sources using endpoints First class support for SQL result-sets, JSON data, XML data, etc. Dealing with the problem of consistent state using transactions Streaming a large quantity of data

Data integration

Ballerina

Introduction to MongoDB (Webinar Jan 2011)

Invited talk at the Workshop on Large-Scale and Distributed Systems for Information Retrieval 2015. Cxense helps companies understand their audience and build great online experiences. Cxense Insight and DMP let customers annotate, filter, segment and target their users based on the consumed content and performed actions in real-time. With more than 5000 active websites, Insight alone tracks more than a billion unique users with more than 15 billions page views per month. To leverage the huge amounts of data in real-time, we have built a large distributed system relying on techniques familiar from databases, information retrieval and data mining. In this talk, we outline our solutions and give some insight into the technology we use and the challenges we face. This introduction should be interesting to undergraduate and PhD students as well as experienced researchers and engineers.

Look Ma! No more blobs

Aparna Chaudhary

Large-Scale Real-Time Data Management for Engagement and Monetization

Simon Lia-Jonassen

MongoDB .local Munich 2019: Managing a Heterogeneous Stack with MongoDB & SQL

MongoDB for Time Series Data Part 1: Setting the Stage for Sensor Management

MongoDB and Hadoop can work together to solve big data problems facing today's enterprises. We will take an in-depth look at how the two technologies complement and enrich each other with complex analyses and greater intelligence. We will take a deep dive into the MongoDB Connector for Hadoop and how it can be applied to enable new business insights with MapReduce, Pig, and Hive, and demo a Spark application to drive product recommendations.

How to leverage MongoDB for Big Data Analysis and Operations with MongoDB's A...

Gianfranco Palumbo

Intro to bigdata on gcp (1)

SahilRaina21

Mongo db and hadoop driving business insights - final

MongoDB + Spring

Norberto Leite

Mongodb

Thiago Veiga

Socialite, the Open Source Status Feed Part 2: Managing the Social Graph

Webinar: Choosing the Right Shard Key for High Performance and Scale

MongoDB has taken a clear lead in adoption among the new generation of databases, including the enormous variety of NoSQL offerings. A key reason for this lead has been a unique combination of agility and scalability. Agility provides business units with a quick start and flexibility to maintain development velocity, despite changing data and requirements. Scalability maintains that flexibility while providing fast, interactive performance as data volume and usage increase. We'll address the key organizational, operational, and engineering considerations to ensure that agility and scalability stay aligned at increasing scale, from small development instances to web-scale applications. We will also survey some key examples of highly-scaled customer applications of MongoDB.

Agility and Scalability with MongoDB

Sriskandarajah Suhothayan

MongoDB Schema Design Tips & Tricks

Juan Antonio Roy Couto

Intelligent integration with WSO2 ESB & WSO2 CEP

Data Science Stack with MongoDB and RStudio

Winston Chen

Mais procurados (20)

Dan Sullivan - Data Analytics and Text Mining with MongoDB - NoSQL matters Du...

Webinar: Managing Real Time Risk Analytics with MongoDB

Leveraging Big Data and Real-Time Analytics at Cxense

Data integration

Introduction to MongoDB (Webinar Jan 2011)

Look Ma! No more blobs

Large-Scale Real-Time Data Management for Engagement and Monetization

MongoDB .local Munich 2019: Managing a Heterogeneous Stack with MongoDB & SQL

MongoDB for Time Series Data Part 1: Setting the Stage for Sensor Management

How to leverage MongoDB for Big Data Analysis and Operations with MongoDB's A...

Intro to bigdata on gcp (1)

Mongo db and hadoop driving business insights - final

MongoDB + Spring

Mongodb

Socialite, the Open Source Status Feed Part 2: Managing the Social Graph

Webinar: Choosing the Right Shard Key for High Performance and Scale

Agility and Scalability with MongoDB

MongoDB Schema Design Tips & Tricks

Intelligent integration with WSO2 ESB & WSO2 CEP

Data Science Stack with MongoDB and RStudio

Semelhante a WSO2Con Asia 2014 - Simultaneous Analysis of Massive Data Streams in real-time and Batch

MongoDB Best Practices

Lewis Lin 🦊

Amazon Kinesis is a fully managed service for real-time processing of streaming data at massive scale. Amazon Kinesis can collect and process hundreds of terabytes of data per hour from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data. Reasons to attend: - This session, will provide you with an overview of Amazon Kinesis. - Learn about sample use cases and real life case studies. - Learn how Amazon Kinesis can be integrated into your own applications.

Day 5 - Real-time Data Processing/Internet of Things (IoT) with Amazon Kinesis

Amazon Web Services

Big data from the trenches

Azrul MADISA

Filtering From the Firehose: Real Time Social Media Streaming

Cloud Elements

WSO2 have had several analytics products: WSO2 BAM and WSO2 CEP for some time (or Big Data products if you prefer the term). We are added WSO2 Machine Learner, a product to create, evaluate, and deploy predictive models and renamed WSO2 BAM to WSO2 DAS ( Data Analytics Server). The platform let you publish ( collect data) once and process them through batch ( Spark) , realtime ( CEP), search the data ( Lucene) and build machine learning models. This post describes how all those fit within to a single story. For more information, see https://iwringer.wordpress.com/2015/03/18/introducing-wso2-analytics-platform-note-for-architects/

Introduction to WSO2 Data Analytics Platform

Srinath Perera

We started as an ad network. The challenge was to recommend the best product (out of millions) to the right person in a given moment (thousands of users within a second). We have delivered 5 billion ad views since 24 months. To put it in the scale context: If we would serve 1 ad per second it will take 160 years to serve 5 billion ads. So we needed a solution. SQL databases did not work. Popular NoSQL databases did not work. Standard data warehouse approaches (pre-aggregations, creating schemas) - did not work too. Re-thinking all the problems with huge data streams flowing to us every second we have built a complete solution based on open-source technologies and fresh, smart ideas from our engineering team. It is called deep.bi and now we make it available to other companies. deep.bi lets high-growth companies solve fast data problems by providing scalable, flexible and real-time data collection, enrichment and analytics. It was built using: - Node.js - API - Kafka - collecting and distributing data - Spark Streaming - ETL, data enrichments - Druid - real-time analytics - Cassandra - user events store - Hadoop + Parquet + Spark - raw data store + ad-hoc queries

Real-time big data analytics based on product recommendations case study

deep.bi

Introduction to Azure DocumentDB

Denny Lee

This session is recommended for anyone interested in understanding how to use AWS big data services to develop real-time analytics applications. In this session, you will get an overview of a number of Amazon's big data and analytics services that enable you to build highly scaleable cloud applications that immediately and continuously analyze large sets of distributed data. We'll explain how services like Amazon Kinesis, EMR and Redshift can be used for data ingestion, processing and storage to enable real-time insights and analysis into customer, operational and machine generated data and log files. We'll explore system requirements, design considerations, and walk through a specific customer use case to illustrate the power of real-time insights on their business.

Getting Started with Real-time Analytics

Amazon Web Services

To view recording of this webinar please use below URL: http://wso2.com/library/webinars/2016/06/analytics-in-your-enterprise/ Big data spans many fields and brings together technologies like distributed systems, machine learning, statistics and Internet of Things (IoT). It has now become a multi-billion dollar industry with use cases ranging from targeted advertising and fraud detection to product recommendations and market surveys. Some use cases such as urban planning can be slower (done in batch mode), while others such as the stock market needs results in milliseconds (done is a streaming fashion). Different technologies are used for each case; MapReduce for batch analytics, complex event processing for real-time analytics and machine learning for predictive analytics. Furthermore, the type of analysis ranges from basic statistics to complicated prediction models. This webinar will discuss the big data landscape including Concepts, use cases and technologies Capabilities and applications of the WSO2 analytics platform WSO2 Data Analytics Server WSO2 Complex Event Processor WSO2 Machine Learner

Analytics in Your Enterprise

Today’s highly connected world is flooding businesses with big and fast-moving data. The ability to trawl this data ocean and identify actionable insights can deliver a competitive advantage to any organization. The WSO2 Analytics Platform enables businesses to do just that by providing batch, real-time, interactive and predictive analysis capabilities all in one place. In this tutorial we will * Plug in the WSO2 Analytics Platform to some common business use cases * Showcase the numerous capabilities of the platform * Demonstrate how to collect data, analyze, predict and communicate effectively * Demonstrate how it can analyze integration, security and IoT scenarios Stick around till the end and you will walk away with the necessary skills to create a winning data strategy for your organization to stay ahead of its competition.

WSO2 Analytics Platform - The one stop shop for all your data needs

Sriskandarajah Suhothayan

If there were a buzzword of the hour, it would certainly be "data mesh"! This new architectural paradigm unlocks analytic data at scale and enables rapid access to an ever-growing number of distributed domain datasets for various usage scenarios. As such, the data mesh addresses the most common weaknesses of the traditional centralized data lake or data platform architecture. And the heart of a data mesh infrastructure must be real-time, decoupled, reliable, and scalable. This presentation explores how Apache Kafka, as an open and scalable decentralized real-time platform, can be the basis of a data mesh infrastructure and - complemented by many other data platforms like a data warehouse, data lake, and lakehouse - solve real business problems. There is no silver bullet or single technology/product/cloud service for implementing a data mesh. The key outcome of a data mesh architecture is the ability to build data products; with the right tool for the job. A good data mesh combines data streaming technology like Apache Kafka or Confluent Cloud with cloud-native data warehouse and data lake architectures from Snowflake, Databricks, Google BigQuery, et al.

The Heart of the Data Mesh Beats in Real-Time with Apache Kafka

Kai Wähner

The WSO2 analytics platform provides a high performance, lean, enterprise-ready, streaming solution to solve data integration and analytics challenges faced by connected businesses. This platform offers real-time, interactive, machine learning and batch processing technologies that empower enterprises to build a digital business, by connecting various enterprise data sources to enhance your experience in understanding the data and to increase internal productivity. This session explores how to enable digital transformation by building a data analytics platform. It will discuss the follwoing topics: WSO2 Data Analytics Server architecture Understanding streaming constructs Architectural styles for data integration Debugging and troubleshooting your integration Deployment Performance tuning Production hardening

WSO2Con USA 2017: Analytics Patterns for Your Digital Enterprise

Presenting at WSO2Con USA 2017 Introduction to WSO2 Data Analytics Server Analytics Patterns - Realtime (Streaming Data, Siddhi) - Incremental - Intelight ( Machine Learning) Smart Analytics Solutions - Banking and Finance -- Fraud Detection & Anti-Money Laundering -- Risk Management -- Stock Market Surveillance - eCommerce and Digital Marketing - Fleet Management - Smart Energy Analytics - QoS Enablement - System and Network Monitoring - Healthcare

Analytics Patterns for Your Digital Enterprise

Sriskandarajah Suhothayan

MongoDB: What, why, when

Eugenio Minardi

Big Data Analytics in the Cloud with Microsoft Azure

Mark Kromer

Microsoft Azure Big Data Analytics

Mark Kromer

Lance Olson. Cortana Analytics is a fully managed big data and advanced analytics suite that helps you transform your data into intelligent action. Come to this two-part session to learn how you can do "big data" processing and storage in Cortana Analytics. In the first part, we will provide an overview of the processing and storage services. We will then talk about the patterns and use cases which make up most big data solutions. In the second part, we will go hands-on, showing you how to get started today with writing batch/interactive queries, real-time stream processing, or NoSQL transactions all over the same repository of data. Crunch petabytes of data by scaling out your computation power to any sized cluster. Store any amount of unstructured data in its native format with no limits to file or account size. All of this can be done with no hardware to acquire or maintain and minimal time to setup giving you the value of "big data" within minutes. Go to https://channel9.msdn.com/ to find the recording of this session.

Cortana Analytics Workshop: The "Big Data" of the Cortana Analytics Suite, Pa...

MSAdvAnalytics

Big Data Analytics Strategy and Roadmap

Srinath Perera

Azure Stream Analytics : Analyse Data in Motion

Ruhani Arora

Lecture1 BIG DATA and Types of data in details

AbhishekKumarAgrahar2

Semelhante a WSO2Con Asia 2014 - Simultaneous Analysis of Massive Data Streams in real-time and Batch (20)

MongoDB Best Practices

Day 5 - Real-time Data Processing/Internet of Things (IoT) with Amazon Kinesis

Big data from the trenches

Filtering From the Firehose: Real Time Social Media Streaming

Introduction to WSO2 Data Analytics Platform

Real-time big data analytics based on product recommendations case study

Introduction to Azure DocumentDB

Getting Started with Real-time Analytics

Analytics in Your Enterprise

WSO2 Analytics Platform - The one stop shop for all your data needs

The Heart of the Data Mesh Beats in Real-Time with Apache Kafka

WSO2Con USA 2017: Analytics Patterns for Your Digital Enterprise

Analytics Patterns for Your Digital Enterprise

MongoDB: What, why, when

Big Data Analytics in the Cloud with Microsoft Azure

Microsoft Azure Big Data Analytics

Cortana Analytics Workshop: The "Big Data" of the Cortana Analytics Suite, Pa...

Big Data Analytics Strategy and Roadmap

Azure Stream Analytics : Analyse Data in Motion

Lecture1 BIG DATA and Types of data in details

Mais de WSO2

Driving Innovation: Scania's API Revolution with WSO2

At its core, the challenge of managing Human Resources data is an integration challenge: estimates range from 2-3 HR systems in use at a typical SMB, up to a few dozen systems implemented amongst enterprise HR departments, and these systems seldom integrate seamlessly between themselves. Providing a multi-tenant, cloud-native solution to integrate these hundreds of HR-related systems, normalize their disparate data models and then render that consolidated information for stakeholder decision making has been a substantial undertaking, but one significantly eased by leveraging Ballerina. In this session, we’ll cover: The overall software architecture for VHR’s Cloud Data Platform Critical decision points leading to adoption of Ballerina for the CDP Ballerina’s role in multiple evolutionary steps to the current architecture Roadmap for the CDP architecture and plans for Ballerina WSO2’s partnership in bringing continual success for the CD

Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform

The integration landscape is changing rapidly with the introduction of technologies like GraphQL, gRPC, stream processing, iPaaS, and platformless. However, not all existing applications and industries can keep up with these new technologies. Certain industries, like manufacturing, logistics, and finance, still rely on well-established EDI-based message formats. Some applications use XML or CSV with file-based communications, while others have strict on premises deployment requirements. This talk focuses on how Ballerina's built-in integration capabilities can bridge the gap between "old" and "new" technologies, modernizing enterprise applications without disrupting business operations.

Modernizing Legacy Systems Using Ballerina

WSO2CON 2024 - Unlocking the Identity: Embracing CIAM 2.0 for a Competitive A...

WSO2CON 2024 Slides - Unlocking Value with AI

In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.

Platformless Horizons for Digital Adaptability

Quantum Leap in Next-Generation Computing

WSO2CON 2024 - Elevating the Integration Game to the Cloud

WSO2CON 2024 - OSU & WSO2: A Decade Journey in Integration & Innovation

WSO2CON 2024 - Freedom First—Unleashing Developer Potential with Open Source

WSO2CON 2024 Slides - Open Source to SaaS

WSO2CON 2024 - Does Open Source Still Matter?

WSO2CON 2024 - IoT Needs CIAM: The Importance of Centralized IAM in a Growing...

WSO2CON 2024 - Architecting AI in the Enterprise: APIs and Applications

WSO2CON 2024 - WSO2's Digital Transformation Journey with Choreo: A Platforml...

WSO2CON 2024 - Software Engineering for Digital Businesses

WSO2CON 2024 - Navigating API Complexity: REST, GraphQL, gRPC, Websocket, Web...

WSO2CON 2024 - Designing Event-Driven Enterprises: Stories of Transformation

WSO2CON 2024 - Not Just Microservices: Rightsize Your Services!

WSO2CON 2024 - Cloud Native Middleware: Domain-Driven Design, Cell-Based Arch...

Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.

Mais de WSO2 (20)

Driving Innovation: Scania's API Revolution with WSO2

Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform

Modernizing Legacy Systems Using Ballerina

WSO2CON 2024 - Unlocking the Identity: Embracing CIAM 2.0 for a Competitive A...

WSO2CON 2024 Slides - Unlocking Value with AI

Platformless Horizons for Digital Adaptability

Quantum Leap in Next-Generation Computing

WSO2CON 2024 - Elevating the Integration Game to the Cloud

WSO2CON 2024 - OSU & WSO2: A Decade Journey in Integration & Innovation

WSO2CON 2024 - Freedom First—Unleashing Developer Potential with Open Source

WSO2CON 2024 Slides - Open Source to SaaS

WSO2CON 2024 - Does Open Source Still Matter?

WSO2CON 2024 - IoT Needs CIAM: The Importance of Centralized IAM in a Growing...

WSO2CON 2024 - Architecting AI in the Enterprise: APIs and Applications

WSO2CON 2024 - WSO2's Digital Transformation Journey with Choreo: A Platforml...

WSO2CON 2024 - Software Engineering for Digital Businesses

WSO2CON 2024 - Navigating API Complexity: REST, GraphQL, gRPC, Websocket, Web...

WSO2CON 2024 - Designing Event-Driven Enterprises: Stories of Transformation

WSO2CON 2024 - Not Just Microservices: Rightsize Your Services!

WSO2CON 2024 - Cloud Native Middleware: Domain-Driven Design, Cell-Based Arch...

Último

Exploring Multimodal Embeddings with Milvus

Zilliz

CNIC Information System with Pakdata Cf In Pakistan

danishmna97

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Angeliki Cooney

Understanding the FAA Part 107 License ..

Christopher Logan Kennedy

MS Copilot expands with MS Graph connectors

Nanddeep Nachan

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

Jeffrey Haguewood

Elevate Developer Efficiency & build GenAI Application with Amazon Q

Bhuvaneswari Subramani

Passkeys: Developing APIs to enable passwordless authentication Cody Salas, Sr Developer Advocate | Solutions Architect - Yubico Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...

Discover the innovative features and strategic vision that keep WSO2 an industry leader. Explore the exciting 2024 roadmap of WSO2 API management, showcasing innovations, unified APIM/APK control plane, natural language API interaction, and cloud native agility. Discover how open source solutions, microservices architecture, and cloud native technologies unlock seamless API management in today's dynamic landscapes. Leave with a clear blueprint to revolutionize your API journey and achieve industry success!

WSO2's API Vision: Unifying Control, Empowering Developers

Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The value of a flexible API Management solution for O...

Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

DianaGray10

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

💉💊+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHABI}}+971581248768 +971581248768 Mtp-Kit (500MG) Prices » Dubai [(+971581248768**)] Abortion Pills For Sale In Dubai, UAE, Mifepristone and Misoprostol Tablets Available In Dubai, UAE CONTACT DR.Maya Whatsapp +971581248768 We Have Abortion Pills / Cytotec Tablets /Mifegest Kit Available in Dubai, Sharjah, Abudhabi, Ajman, Alain, Fujairah, Ras Al Khaimah, Umm Al Quwain, UAE, Buy cytotec in Dubai +971581248768''''Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol, Cytotec” +971581248768' Dr.DEEM ''BUY ABORTION PILLS MIFEGEST KIT, MISOPROTONE, CYTOTEC PILLS IN DUBAI, ABU DHABI,UAE'' Contact me now via What's App…… abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all, Cytotec Abortion Pills are Available In Dubai / UAE, you will be very happy to do abortion in Dubai we are providing cytotec 200mg abortion pill in Dubai, UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if its beyond 6 months. Our Abu Dhabi, Ajman, Al Ain, Dubai, Fujairah, Ras Al Khaimah (RAK), Sharjah, Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical, medical and surgical abortion methods for early through late second trimester, including the Abortion By Pill Procedure (RU 486, Mifeprex, Mifepristone, early options French Abortion Pill), Tamoxifen, Methotrexate and Cytotec (Misoprostol). The Abu Dhabi, United Arab Emirates Abortion Clinic performs Same Day Abortion Procedure using medications that are taken on the first day of the office visit and will cause the abortion to occur generally within 4 to 6 hours (as early as 30 minutes) for patients who are 3 to 12 weeks pregnant. When Mifepristone and Misoprostol are used, 50% of patients complete in 4 to 6 hours; 75% to 80% in 12 hours; and 90% in 24 hours. We use a regimen that allows for completion without the need for surgery 99% of the time. All advanced second trimester and late term pregnancies at our Tampa clinic (17 to 24 weeks or greater) can be completed within 24 hours or less 99% of the time without the need surgery. The procedure is completed with minimal to no complications. Our Women's Health Center located in Abu Dhabi, United Arab Emirates, uses the latest medications for medical abortions (RU-486, Mifeprex, Mifegyne, Mifepristone, early options French abortion pill), Methotrexate and Cytotec (Misoprostol). The safety standards of our Abu Dhabi, United Arab Emirates Abortion Doctors remain unparalleled. They consistently maintain the lowest complication rates throughout the nation. Our Physicians and staff are always available to answer questions and care for women in one of the most difficult times in their lives. The decision to have an abortion at the Abortion Cl

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@

DBX First Quarter 2024 Investor Presentation

Dropbox

[BuildWithAI] Introduction to Gemini.pdf

Sandro Moreira

Dubai, often portrayed as a shimmering oasis in the desert, faces its own set of challenges, including the occasional threat of flooding. Despite its reputation for opulence and modernity, the emirate is not immune to the forces of nature. In recent years, Dubai has experienced sporadic but significant floods, testing the resilience of its infrastructure and communities. Among the critical lifelines in this bustling metropolis is the Dubai International Airport, a bustling hub that connects the city to the world. This article explores the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...

Orbitshub

Keynote 2: APIs in 2030: The Risk of Technological Sleepwalk Paolo Malinverno, Growth Advisor - The Business of Technology Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...