Denodo DataFest 2017: Data Virtualization in the World of Edge Computing

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This document summarizes a presentation about data virtualization and edge computing. It defines edge computing as performing data processing near the source of the data to optimize systems. Examples provided include analyzing factory data locally and treating individual countries as edges to comply with different privacy laws. The presentation discusses moving to an integration platform as a service (iPaaS) model that decouples the metadata layer from the execution layer, pushing query execution to local agents to reduce network traffic while still allowing centralized development and monitoring from the cloud.

Dados e análise

O C TO B E R 1 9 - 2 0 , 2 0 1 7 N E W YO R K , N Y
Redefining Analytics for Successful Self-Service BI, Cloud, and Big Data
The Agile Data Management
and Analytics Conference
#DenodoDataFest

Data Virtualization in the world of Edge Computing
Pablo Alvarez
Principal Solution Architect, Denodo

3
What’s the Edge
Cliffs of Moher by Giusseppe Calsamiglia, CC license

Edge computing is a method of optimizing computing
systems by performing data processing at the edge of the
network, near the source of the data.
What is Edge Computing?

6
Why Edge Computing?
▪ Lower Cost
▪ Reduced storage, traffic and processing in the central hubs
▪ Minimize latency
▪ Data is analyzed at the local level
▪ Reduced network traffic
▪ Only necessary data is transmitted to the central hub
▪ Two tier access for better performance
▪ Critical applications can access the Edge directly instead of the central hub

7
Where is the Edge?
Ronda by Paucal, CC license

8
How far does it makes sense to push the edge?
▪ What is your business problem and
where can you benefit from the
ideas of Edge Computing?
▪ Keep in mind that Data
virtualization is a data integration
and data delivery technology
▪ What’s the global architecture?
▪ Cloud vs data center
▪ Geographical distribution
▪ Etc.
Source:
https://medium.com/iotforall/whats-proximity-computing-4b713ecf3666

9
Example: Country as the Edge
▪ Multinational company with
independent regional units
▪ Have to comply with multiple
data privacy laws
▪ Need for centralize world-wide
perspective
Your Edge is the country/region
Two-tier Logical Data Warehouse
Architecture
USA data center Europe data center

10
Example: Factory as the Edge
▪ Multiple factories with locally
replicated systems for some
operations (supply chain, HR,
IoT manufacturing systems,
etc.)
▪ Large amount of data
generated at the factory level
▪ Huge potential for distributed
processing for aggregated
global reporting
Your Edge is the Factory

An Integration Platform as a Service (iPaaS) is an data
integration platform that combines the benefits of a PaaS
platform (cloud hosted) with the performance of local
processing via execution agents
What is iPaaS?

13
Beyond Denodo 7: Denodo’s iPaaS Architecture
Execution Agent Execution Agent
Metadata
Repository
Execution Engine
& Optimizer
Data center A Data center B
Corporate Security
Monitoring &
Auditing
“The Cloud”

14
iPaaS model and Edge Computing
Decouples metadata layer (Cloud) from the execution layer (on-prem):
▪ Data sources, view definitions and usage info are stored centrally in the cloud
Actual query execution can be pushed down to local “execution agents”
deployed at the edge to avoid heavy network traffic
Simplifies operations:
▪ Development is done directly in the cloud via a web tool
▪ Components are either web-based (clients) or automatically updated (agents)
▪ Execution agents are monitored centrally from the cloud UI

Thank you!
© Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written
authorization from Denodo Technologies.
#DenodoDataFest

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Fabian Hardt

A Guide to Edge Computing Technology For Business Operations

Cerebrum Infotech

Enterprise architectures never sleep because cloud-first strategies must also become multi-cloud-first strategies. Public cloud providers such as Microsoft Azure are providing compelling services and pricing. And, most enterprises now consider their own datacenter a private cloud. This is not a one-cloud playing field and enterprise architects must develop strategies, standards, and policies about how their data is being used, moved, and created across multiple cloud infrastructures. Join Pivotal’s Jag Mirani and Mike Stolz along with guest, Forrester Vice President and Principal Analyst, Mike Gualtieri, as they examine the trends driving multi-cloud adoption and more importantly how to architect technical solutions to make data free to roam among them safely. Speakers: Mike Gualtieri, VP, PRINCIPAL ANALYST, Forrester Jag Mirani, Product Marketing, Data Services, Pivotal Mike Stolz, Product Lead, GemFire, Pivotal

Overcoming Data Gravity in Multi-Cloud Enterprise Architectures

VMware Tanzu

Watch: https://bit.ly/2E99UNO The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms. Cloud has become a key component of modern architecture design. Data lakes, IoT, NoSQL, SaaS, etc. coexist with relational databases to fuel the needs of modern analytics, ML and AI. Exploring and understanding the data available within your organization is a time-consuming task. And all of this without even knowing if that data will be useful at all. Attend this session to learn: - How dynamic data challenges and the speed of change requires a new approach to data architecture. - Learn how logical data architecture can enable organizations to transition data faster to the cloud with zero downtime. - Explore how data as a service and other API management capabilities is a must in a hybrid cloud environment.

Cloud Modernization and Data as a Service Option

Denodo

7 12-2010 - UU - Microsoft Cloud Services - peter de haas -final

Peter de Haas

Semelhante a Denodo DataFest 2017: Data Virtualization in the World of Edge Computing (20)

Digital Reinvention by NRB

What Is Edge Computing? Everything You Need to Know

Virtualisation de données : Enjeux, Usages & Bénéfices

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How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...

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Edge computing11111111111111111111 .pptx

Datumize Deck 2019

Cloud BI

IBMHadoopofferingTechline-Systems2015

Accelerating Big Data Insights

How Service Mesh Fits into the Modern Data Stack

A Guide to Edge Computing Technology For Business Operations

Overcoming Data Gravity in Multi-Cloud Enterprise Architectures

Cloud Modernization and Data as a Service Option

7 12-2010 - UU - Microsoft Cloud Services - peter de haas -final

Mais de Denodo

Watch full webinar here: https://buff.ly/3P3l4oK Proper monitoring of an enterprise system is critical to understanding its capacity and growth, anticipating potential issues, and even understanding key ROI metrics. This also facilitates the implementation of policies and user access audits which are key to optimizing the resource utilization in an organization. Do you want to learn more about the new Denodo features for monitoring, auditing, and visualizing enterprise monitoring data? Join us for the session with Vijayalakshmi Mani, Data Engineer at Denodo, to understand how the new features and components help in monitoring your Denodo Servers and the resource utilizations and how to extract the most out of the logs that the Denodo Platform generates including FinOps information. Watch on-demand and Learn: - What is a Denodo Monitor and what’s new in it? - How to visualize the Denodo Monitor Information and use of Diagnostics & Monitoring Tool - Introduction to the new Denodo Dashboard - Demonstration on the Denodo Dashboard

Enterprise Monitoring and Auditing in Denodo

Denodo

Watch full webinar here: https://buff.ly/4bYOOgb With the rise of cloud-first initiatives and pay-per-use systems, forecasting IT costs has become a challenge. It's easy to start small, but it's equally easy to get skyrocketing bills with little warning. FinOps is a discipline that tries to tackle these issues, by providing the framework to understand and optimize cloud costs in a more controlled manner. The Denodo Platform, being a middleware layer in charge of global data delivery, sits in a privileged position not only to help us understand where costs are coming from, but also to take action, manage, and reduce them. Attend this session to learn: - The importance of FinOps in a cloud architecture. - How the Denodo Platform can help you collect and visualize key FinOps metrics to understand where your costs are coming from? - What actions and controls the Denodo Platform offers to keep costs at bay.

Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach

Denodo

Watch full webinar here: https://buff.ly/3wBhxYb In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users. Watch on-demand and learn: - How to use a logical data fabric to build an enterprise-wide data access role model. - Centralise security when data is spread across multiple systems residing both on-premises and in the cloud. - Control and audit data access across different regions.

Achieving Self-Service Analytics with a Governed Data Services Layer

Denodo

Watch full webinar here: https://buff.ly/3UXy0A2 It should be no surprise that Generative AI will have a profound impact to data management in years to come. Much like other areas of the technology sector, the opportunities presented by GenAI will accelerate our efforts around all aspects of data management, including self-service, automation, data governance and security. On the other hand, it is also becoming clearer that to unleash the true potential of AI assistants powered by GenAI, we need novel implementation strategies and a reimagined data architecture. This presents an exhilarating yet challenging future, demanding innovative thinking and methodologies in data management. Join us on this webinar to learn about: - The opportunities and challenges presented by GenAI today. - Exploiting GenAI to democratize data management. - How to augment GenAI applications with corporate data and knowledge. - How to get started.

What you need to know about Generative AI and Data Management?

Denodo

Watch full webinar here: https://buff.ly/48rpLQ3 Join us for an enlightening webinar, "Mastering Data Compliance in a Dynamic Business Landscape," presented by Denodo Technologies and W5 Consulting. This session is tailored for business leaders and decision-makers who are navigating the complexities of data compliance in an ever-evolving business environment. This webinar will focus on why data compliance is crucial for your business. Discover how to turn compliance into a competitive advantage, enhancing operational efficiency and market trust. We'll also address the risks of non-compliance, including financial penalties and the loss of customer trust, and provide strategies to proactively overcome these challenges. Key Takeaways: - How can your business leverage data management practices to stay agile and compliant in a rapidly changing regulatory landscape? - Keys to balancing data accessibility with security and privacy in today's data-driven environment. - What are the common pitfalls in achieving compliance with regulations like GDPR, CCPA, and HIPAA, and how can your business avoid them? We will go beyond the technical aspects and delve into how you can strategically position your organization in the realm of data management and compliance. Learn how to craft a data compliance strategy that aligns with your business goals, enhances operational efficiency, and builds stakeholder trust.

Mastering Data Compliance in a Dynamic Business Landscape

Denodo

Watch full webinar here: https://buff.ly/3OCQvGk In this session, Denodo Sales Engineer, Yik Chuan Tan, will guide you through the art of delivering a compelling demo of the Denodo Platform with Denodo Demo Lite. Watch to uncover the significant functionalities that set Denodo apart and learn how to effectively win over potential customers. In this session, we will cover: Understanding the Denodo Platform & Tailoring Your Demo to Prospect Needs: By gaining a comprehensive understanding of the Denodo Platform, its architecture, and how it addresses data management challenges, you can customize your demo to align with the specific needs and pain points of your prospects, including: - seamless data integration with real-time access - data security and governance - self-service data discovery - advanced analytics and reporting - performance optimization scalability and deployment Watch this Denodo demo session and acquire the skills and knowledge necessary to captivate your prospects. Whether you're a seasoned technical professional or new to the field, this session will equip you with the skills to deliver compelling demos that lead to successful conversions.

Denodo Partner Connect: Business Value Demo with Denodo Demo Lite

Denodo

Watch full webinar here: https://buff.ly/3wdI1il As organizations compete in new markets and new channels, business data requirements include new data platforms and applications. Migration to the cloud typically adds more distributed data when operations set up their own data platforms. This spreads important data across on-premises and cloud-based data platforms. As a result, data silos proliferate and become difficult to access, integrate, manage, and govern. Many organizations are using cloud data platforms to consolidate data, but distributed environments are unlikely to go away. Organizations need holistic data strategies for unifying distributed data environments to improve data access and data governance, optimize costs and performance, and take advantage of modern technologies as they arrive. This TDWI Expert Panel will focus on overcoming challenges with distributed data to maximize business value. Key topics this panel will address include: - Developing the right strategy for your use cases and workloads in distributed data environments, such as data fabrics, data virtualization, and data mesh - Deciding whether to consolidate data silos or bridge them with distributed data technologies - Enabling easier self-service access and analytics across a distributed data environment - Maximizing the value of data catalogs and other data intelligence technologies for distributed data environments - Monitoring and data observability for spotting problems and ensuring business satisfaction

Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...

Denodo

Watch full webinar here: https://buff.ly/3UE5K5l The ability to recognize and flag sensitive information within corporate datasets is essential for compliance with emerging privacy laws, for completing a privacy impact assessment (PIA) or data subject access request (DSAR), and also for cyber-insurance compliance. During this session, we will discuss data privacy laws, the challenges they present, and how they can be applied with modern tools. Join us for the session driven by Mark Rowan, CEO at Data Sentinel, and Bhavita Jaiswal, SE at Denodo, who will show how a data classification engine augments Data Catalog to support data governance and compliance objectives. Watch on-demand & Learn: - Changing landscape of data privacy laws and compliance requirements - How to create a data classification framework - How Data Sentinel classifies data and this can be integrated into Denodo - Using the enhanced data classifications via consuming tools such as Data Catalog and Power BI

Drive Data Privacy Regulatory Compliance

Denodo

Watch full webinar here: https://buff.ly/3OETC08 По данным аналитической компании Gartner, "к 2022 году 60% предприятий включат виртуализацию данных в качестве основного метода доставки данных в свою интеграционную архитектуру". Компания Gartner назвала Denodo лидером в Магическом квадранте 2020 года по инструментам интеграции данных. В ходе этого 1,5-часового занятия вы узнаете, как виртуализация данных революционизирует бизнес и ИТ-подход к доступу, доставке, потреблению, управлению и защите данных, независимо от возраста вашей технологии, формата данных или их местонахождения. Эта зрелая технология устраняет разрыв между ИТ и бизнес-пользователями и обеспечивает значительную экономию средств и времени. **ФОРМАТ Онлайн-семинар продолжительностью 1 час 30 минут. Благодаря записи вы можете выполнять упражнения в своем собственном темпе. **ДЛЯ КОГО ЭТОТ СЕМИНАР? ИТ-менеджеры / архитекторы Специалисты по анализу данных / аналитики CDO **СОДЕРЖАНИЕ В программе: введение в суть виртуализации данных, примеры использования, реальные примеры из практики клиентов и демонстрация возможностей платформы Denodo Platform: Интеграция и предоставление данных быстро и легко с помощью платформы Denodo Platform 8.0 Оптимизатор запросов Denodo предоставляет данные в режиме реального времени, по запросу, даже для очень больших наборов данных Выставлять данные в качестве "сервисов данных" для потребления различными пользователями и инструментами Каталог данных: Открывайте и документируйте данные с помощью нашего Каталога данных пространства для самостоятельного доступа к данным. Виртуализация данных играет ключевую роль в управлении и обеспечении безопасности данных в вашей организации **ПОВЕСТКА Введение в виртуализацию данных Примеры использования и примеры из практики клиентов Архитектура - Управление и безопасность Производительность Демо Следующие шаги: как самостоятельно протестировать и внедрить платформу Интерактивная сессия вопросов и ответов

Знакомство с виртуализацией данных для профессионалов в области данных

Denodo

Watch full webinar here: https://buff.ly/41Zf31D Despite recent and evolving technological advances, the vast amounts of data that exist in a typical enterprise is not always available to all stakeholders when they need it. In modern enterprises, there are broad sets of users, with varying levels of skill sets, who strive to make data-driven decisions daily but struggle to gain access to the data needed in a timely manner. Join our webinar to learn how to: - Unlock the Power of Your Data: Discover how data democratization can transform your organization by giving every user access to the data they need, when they need it. - Say 'Goodbye' to Data Fragmentation: Learn practical strategies to break down data silos and foster a more collaborative and efficient data environment. - Realize the Full Potential of Your Data: Hear success stories about industry leaders who have embraced data democratization and witnessed tangible results.

Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation

Denodo

Denodo Partner Connect - Technical Webinar - Ask Me Anything

Denodo

Watch full webinar here: https://buff.ly/3SnH5QY 2023 is coming to an end where organisations dependency on trusted, accurate, secure and contextual data only grows more challenging. The perpetual aspect in seeking new architectures, processes, organisational team structures to "get the business their data" and reduce the operating costs continues unabated. While confidence from the business in what "value" is being derived or "to be" delivered from these investments in data, is being heavily scrutinised. 2023 saw significant new releases from vendors, focusing on the Data Fabric. At this session we will look at these topics and key takeaways for 2023, including; - Data management and data integration market highlights for 2023 - Key achievements for Denodo in their journey as a leader in this market - A few case studies from Australian organisations in how they are delivering strategic business value through Denodo's Data Fabric platform and what they have been doing differently

Lunch and Learn ANZ: Key Takeaways for 2023!

Denodo

Watch full webinar here: https://buff.ly/3S4Y49o A little over a year ago, we would not have expected the disruptions caused by the rise of Generative AI. If 2023 was a groundbreaking year for AI, what will 2024 bring? More importantly, what can you do now to take advantage of these trends and ensure you are future-proof? For example: - Generative AI will become more powerful and user-friendly, enabling novel and realistic content creation and automation. - Data Architectures will need to adapt to feed these powerful new models. - Data ecosystems are moving to the cloud, but there is a growing need to maintain control of costs and optimize workloads better. Join us for a discussion on the most significant trends in the Data & AI space, and how you can prepare to ride this wave!

It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward

Denodo

Watch full webinar here: https://buff.ly/3O7rd2R Afin d’être conformes au RGPD, les entreprises ont besoin d'avoir une vue d'ensemble sur toutes leurs données et d'établir des contrôles de sécurité sur toute l'infrastructure. La virtualisation des données de Denodo permet de rassembler les multiples sources de données, de les rendre accessibles à partir d'une seule couche, et offre des capacités de monitoring pour surveiller les changements. Pour cela, Square IT Services a développé pour l’un de ses grands clients français prestigieux dans le secteur du luxe une interface utilisateur ergonomique qui lui permet de consulter les informations personnelles de ses clients, vérifier leur éligibilité à pratiquer leur droit à l'oubli, et de désactiver leurs différents canaux de notification. Elle dispose aussi d'une fonctionnalité d'audit qui permet de tracer l'historique des opérations effectuées, et lui permet donc de retrouver notamment la date à laquelle la personne a été anonymisée. L'ensemble des informations remontées au niveau de l'application sont récupérées à partir des APIs REST exposées par Denodo. Dans ce webinar, nous allons détailler l’ensemble des fonctionnalités de l’application DPO-Cockpit autour d’une démo, et expliquer à chaque étape le rôle central de Denodo pour réussir à simplifier la gestion du RGPD tout en étant compliant. Les points clés abordés: - Contexte client face aux enjeux du RGPD - Défis et challenges rencontrés - Options et choix retenu (Denodo) - Démarche: architecture de la solution proposée - Démo de l'outil: fonctionnalités principales

Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...

Denodo

Watch full webinar here: https://buff.ly/48zzN2h In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users. Tune in and learn: - How to use a logical data fabric to build an enterprise-wide data access role model. - Centralise security when data is spread across multiple systems residing both on-premises and in the cloud. - Control and audit data access across different regions.

Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...

Denodo

Watch full webinar here: https://buff.ly/4aAi0cS Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected. By adopting an alternate approach to data management and adapting a logical data architecture, data can be democratized while providing centralized control within a distributed data landscape. The web-based Data Catalog tool acts as a single access point for secure enterprise-wide data access and governance. This corporate data marketplace provides visibility into your data ecosystem and allows data to be shared without compromising data security policies. Catch this live webinar to understand how this approach can transform how you leverage data across the business: - Empower the knowledge worker with data and increase productivity - Promote data accuracy and trust to encourage re-use of important data assets - Apply consistent security and governance policies across the enterprise data landscape

How to Build Your Data Marketplace with Data Virtualization?

Denodo

Watch full webinar here: https://buff.ly/3vhzqL5 Join our exclusive webinar series designed to empower credit unions with transformative insights into the untapped potential of data. Explore how data can be a strategic asset, enabling credit unions to overcome challenges and foster substantial growth. This webinar will delve into how data can serve as a catalyst for addressing key challenges faced by credit unions, propelling them towards a future of enhanced efficiency and growth.

Webinar #2 - Transforming Challenges into Opportunities for Credit Unions

Denodo

Watch full webinar here: https://buff.ly/48A4Yu1 Data catalogs are increasingly important in any modern data-driven organization. They are essential to manage and make the most of the huge amount of data that any organization uses. As this information is continuously growing in size and complexity, data catalogs are key to providing Data Discovery, Data Governance, and Data Lineage capabilities. Join us for the session driven by David Fernandez, Senior Technical Account Manager at Denodo, to review the latest features aimed at improving the usability of the Denodo Data Catalog. Watch on-demand & Learn: - Enhanced search capabilities using multiple terms. - How to create workflows to manage internal requests. - How to leverage the AI capabilities of Data Catalog to generate SQL queries from natural language.

Enabling Data Catalog users with advanced usability

Denodo

Watch full webinar here: https://buff.ly/3vjrn0s The purpose of the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam is to provide organizations that use Denodo Platform 8.0 with a means of identifying suitably qualified data architects who understand the role and position of the Denodo Platform within their broader information architecture. This exam covers the following technical topics and subject areas: - Denodo Platform functionality, including - Governance and metadata management - Security - Performance optimization - Caching - Defining Denodo Platform use scenarios Along with some sample questions, a Denodo Sales Engineer will help you prepare for exam topics and ace the exam. Join us now to start your journey toward becoming a Certified Denodo Architect Associate!

Denodo Partner Connect: Technical Webinar - Architect Associate Certification...

Denodo

Watch full webinar here: https://buff.ly/3NLMSNM El Generative AI y los Large Language Models (LLMs), encabezados por GPT de OpenAI, han supuesto la mayor revolución en el mundo de la computación de los últimos años. Pero ¿Cómo afectan realmente a la gestión de datos? ¿Reemplazarán los LLMs al profesional de la gestion de datos? ¿Cuánto hay de mito y cuánto de realidad? En esta sesión revisaremos: - Que es la Generative AI y por qué es importante para la gestión de datos - Presente y futuro de aplicación de genAI en el mundo de los datos - Cómo preparar tu organización para la adopción de genAI

GenAI y el futuro de la gestión de datos: mitos y realidades

Denodo

Mais de Denodo (20)

Enterprise Monitoring and Auditing in Denodo

Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach

Achieving Self-Service Analytics with a Governed Data Services Layer

What you need to know about Generative AI and Data Management?

Mastering Data Compliance in a Dynamic Business Landscape

Denodo Partner Connect: Business Value Demo with Denodo Demo Lite

Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...

Drive Data Privacy Regulatory Compliance

Знакомство с виртуализацией данных для профессионалов в области данных

Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation

Denodo Partner Connect - Technical Webinar - Ask Me Anything

Lunch and Learn ANZ: Key Takeaways for 2023!

It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward

Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...

Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...

How to Build Your Data Marketplace with Data Virtualization?

Webinar #2 - Transforming Challenges into Opportunities for Credit Unions

Enabling Data Catalog users with advanced usability

Denodo Partner Connect: Technical Webinar - Architect Associate Certification...

GenAI y el futuro de la gestión de datos: mitos y realidades

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This project aims to predict whether a loan application will be approved or denied based on various factors such as applicant's income, credit score, loan amount, etc. Using a dataset containing historical loan application data, we employed machine learning algorithms to build a predictive model. The model was trained on features such as applicant's income, credit history, loan amount, loan term, and others. After training the model, we evaluated its performance using metrics like accuracy, precision, recall, and F1 score. The insights from this project can help financial institutions streamline their loan approval process and make informed decisions. Visit for more information: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/

Predicting Loan Approval: A Data Science Project

Boston Institute of Analytics

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1. O C TO B E R 1 9 - 2 0 , 2 0 1 7 N E W YO R K , N Y Redefining Analytics for Successful Self-Service BI, Cloud, and Big Data The Agile Data Management and Analytics Conference #DenodoDataFest

2. Data Virtualization in the world of Edge Computing Pablo Alvarez Principal Solution Architect, Denodo

3. 3 What’s the Edge Cliffs of Moher by Giusseppe Calsamiglia, CC license

4. Edge computing is a method of optimizing computing systems by performing data processing at the edge of the network, near the source of the data. What is Edge Computing?

5. 5 The Edge Computing Model

6. 6 Why Edge Computing? ▪ Lower Cost ▪ Reduced storage, traffic and processing in the central hubs ▪ Minimize latency ▪ Data is analyzed at the local level ▪ Reduced network traffic ▪ Only necessary data is transmitted to the central hub ▪ Two tier access for better performance ▪ Critical applications can access the Edge directly instead of the central hub

7. 7 Where is the Edge? Ronda by Paucal, CC license

8. 8 How far does it makes sense to push the edge? ▪ What is your business problem and where can you benefit from the ideas of Edge Computing? ▪ Keep in mind that Data virtualization is a data integration and data delivery technology ▪ What’s the global architecture? ▪ Cloud vs data center ▪ Geographical distribution ▪ Etc. Source: https://medium.com/iotforall/whats-proximity-computing-4b713ecf3666

9. 9 Example: Country as the Edge ▪ Multinational company with independent regional units ▪ Have to comply with multiple data privacy laws ▪ Need for centralize world-wide perspective Your Edge is the country/region Two-tier Logical Data Warehouse Architecture USA data center Europe data center

10. 10 Example: Factory as the Edge ▪ Multiple factories with locally replicated systems for some operations (supply chain, HR, IoT manufacturing systems, etc.) ▪ Large amount of data generated at the factory level ▪ Huge potential for distributed processing for aggregated global reporting Your Edge is the Factory

11. Moving to an iPaaS Edge

12. An Integration Platform as a Service (iPaaS) is an data integration platform that combines the benefits of a PaaS platform (cloud hosted) with the performance of local processing via execution agents What is iPaaS?

13. 13 Beyond Denodo 7: Denodo’s iPaaS Architecture Execution Agent Execution Agent Metadata Repository Execution Engine & Optimizer Data center A Data center B Corporate Security Monitoring & Auditing “The Cloud”

14. 14 iPaaS model and Edge Computing Decouples metadata layer (Cloud) from the execution layer (on-prem): ▪ Data sources, view definitions and usage info are stored centrally in the cloud Actual query execution can be pushed down to local “execution agents” deployed at the edge to avoid heavy network traffic Simplifies operations: ▪ Development is done directly in the cloud via a web tool ▪ Components are either web-based (clients) or automatically updated (agents) ▪ Execution agents are monitored centrally from the cloud UI

15. Q&A

16. Thank you! © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies. #DenodoDataFest

Denodo DataFest 2017: Data Virtualization in the World of Edge Computing

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Denodo DataFest 2017: Data Virtualization in the World of Edge Computing