Who is Talend?
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At Talend, it’s our mission to connect the data-driven enterprise, so our customers can operate in real-time with new insight about their customers, markets and business.
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An Introduction to Talend Integration Cloud
Learn more about Talend Integration Cloud - http://www.talend.com/products/integration-cloud
Talend Integration Cloud includes the powerful Talend Studio and new web-based designer tools to maximize your productivity. Speed cloud integration using robust graphical tools and wizards inside Talend Integration Cloud. More than 900 connectors and components simplify development of cloud-to-cloud and hybrid integration flows to deploy as governed integration services. Build simple or complex integration flows inside Talend Studio that connect, cleanse, and transform data. Simply push a button to publish and go live in seconds. Easily de-duplicate and standardize data to increase information accuracy and completeness.
Mike Tuche, CEO of Talend: Enabling the Data Driven Enterprise
See what's new in our latest version - http://www.talend.com/products
Talend Connect 2016 Keynote. Talend CEO Mike Tuchen describes how Talend is enabling the new future of the data-driven enterprise.
5 Simple Steps to Unleash Big Data Talend Connect
The pace of business disruption is accelerating, meaning today’s organizations need to become more data driven in order to compete and innovate. It’s no secret that big data initiatives are becoming more pervasive. But in order to process this vast amount of data, companies need data science and machine learning to find valuable insights. As they move to build smart applications powered by Big Data and new emerging technologies like IoT, new challenges are arising including how to move data science and machine learning into production. Oftentimes it is a laborious, manual-coding process that can take up weeks or months.
Embracing Cloud Agility to Maximize Flexibility & Performance
The solution to going faster is the cloud. This is true for Talend and that is why you can see us putting significant efforts into our cloud platform. For you, the cloud means lower costs with no servers to buy and via more flexible elastic computing models; it means you can deliver change faster – you can try things quickly and you can deliver the change that your business needs. In this chart by armory you can see that these successful companies shown are deploying changes at a very high rate. This continuous integration and deployment process allows them to deliver change to their business and their customers. Finally, as we look to innovate in our business with machine learning, AI and more. The cloud is where these technologies are coming to life.
Achieving Agility and Scale for Your Data Lake - Talend
Most organization who going through Digital Transformation need to break down their data silos as well as leverage existing and new data sources. Here is how to build a data lake for data change in your organization.
Talend 6.1 - What's New in Talend?
Learn more - http://www.talend.com/products/talend-6
When you’re ready to move to Big Data, connect in the cloud, and across the Internet of Things, Talend 6 streamlines the process. Convert traditional data integration jobs and MapReduce jobs to Spark with the click of a button, and realize the potential of real-time data-driven decision making. Learn more about Talend and Spark.
Talend 6 also brings continuous delivery, MDM REST API, plus data masking and semantic discovery to our products.
Unleash the Power of Big Data and Machine Learning
Talend’s unified platform approach makes it faster, easier, and more cost effective to get your big data projects into production.
Talend AS A Product
Talend is an open source integration software provider specializing in data integration, master data management, data quality, big data integration, and enterprise application integration. It offers a platform and tools like Talend Data Integration and Talend Data Quality that help with Extract, Transfer, and Load (ETL) processes, ensuring data quality, and enabling integration across various data sources and targets. The presentation concluded with a live demo of Talend's enterprise service bus functionality for intelligent routing, mediation, and service enablement using open standards.
Recommended
An Introduction to Talend Integration Cloud
Learn more about Talend Integration Cloud - http://www.talend.com/products/integration-cloud
Talend Integration Cloud includes the powerful Talend Studio and new web-based designer tools to maximize your productivity. Speed cloud integration using robust graphical tools and wizards inside Talend Integration Cloud. More than 900 connectors and components simplify development of cloud-to-cloud and hybrid integration flows to deploy as governed integration services. Build simple or complex integration flows inside Talend Studio that connect, cleanse, and transform data. Simply push a button to publish and go live in seconds. Easily de-duplicate and standardize data to increase information accuracy and completeness.
Mike Tuche, CEO of Talend: Enabling the Data Driven Enterprise
See what's new in our latest version - http://www.talend.com/products
Talend Connect 2016 Keynote. Talend CEO Mike Tuchen describes how Talend is enabling the new future of the data-driven enterprise.
5 Simple Steps to Unleash Big Data Talend Connect
The pace of business disruption is accelerating, meaning today’s organizations need to become more data driven in order to compete and innovate. It’s no secret that big data initiatives are becoming more pervasive. But in order to process this vast amount of data, companies need data science and machine learning to find valuable insights. As they move to build smart applications powered by Big Data and new emerging technologies like IoT, new challenges are arising including how to move data science and machine learning into production. Oftentimes it is a laborious, manual-coding process that can take up weeks or months.
Embracing Cloud Agility to Maximize Flexibility & Performance
The solution to going faster is the cloud. This is true for Talend and that is why you can see us putting significant efforts into our cloud platform. For you, the cloud means lower costs with no servers to buy and via more flexible elastic computing models; it means you can deliver change faster – you can try things quickly and you can deliver the change that your business needs. In this chart by armory you can see that these successful companies shown are deploying changes at a very high rate. This continuous integration and deployment process allows them to deliver change to their business and their customers. Finally, as we look to innovate in our business with machine learning, AI and more. The cloud is where these technologies are coming to life.
Achieving Agility and Scale for Your Data Lake - Talend
Most organization who going through Digital Transformation need to break down their data silos as well as leverage existing and new data sources. Here is how to build a data lake for data change in your organization.
Talend 6.1 - What's New in Talend?
Learn more - http://www.talend.com/products/talend-6
When you’re ready to move to Big Data, connect in the cloud, and across the Internet of Things, Talend 6 streamlines the process. Convert traditional data integration jobs and MapReduce jobs to Spark with the click of a button, and realize the potential of real-time data-driven decision making. Learn more about Talend and Spark.
Talend 6 also brings continuous delivery, MDM REST API, plus data masking and semantic discovery to our products.
Unleash the Power of Big Data and Machine Learning
Talend’s unified platform approach makes it faster, easier, and more cost effective to get your big data projects into production.
Talend AS A Product
Talend is an open source integration software provider specializing in data integration, master data management, data quality, big data integration, and enterprise application integration. It offers a platform and tools like Talend Data Integration and Talend Data Quality that help with Extract, Transfer, and Load (ETL) processes, ensuring data quality, and enabling integration across various data sources and targets. The presentation concluded with a live demo of Talend's enterprise service bus functionality for intelligent routing, mediation, and service enablement using open standards.
Talend Big Data Capabilities Overview
This document provides an overview of Talend's big data solutions. It discusses the drivers of big data including volume, velocity, and variety. It then describes the Hadoop ecosystem, including core components like HDFS, MapReduce, Hive, Pig, and HBase. The document outlines Talend's big data product strategy, including solutions for big data integration, manipulation, quality, and project management. It introduces Talend Open Studio for Big Data, an open source tool for designing Hadoop jobs with a graphical interface. Finally, it briefly discusses Talend's partnerships around Hadoop distributions.
Talend Data Preparation Overview
This document summarizes Talend Data Preparation, a self-service data preparation tool. It empowers business users and analysts to clean and prepare data in minutes rather than hours. The tool addresses common data issues like missing values, different formats, and extra steps needed to access and prepare data. It is designed for a variety of roles including business analysts, data scientists, and IT developers. The document outlines the product editions including a free desktop version and integrated subscription version. Use cases include self-service BI, big data discovery, and enabling agile data stewardship. Instructions are provided to download the free version and get started with data preparation.
Talend Summer '17 Release: New Features and Tech Overview
See the new release: https://www.talend.com/products/talend-6/
Talend Summer ’17 delivers the latest cloud and big data innovations so you can get a 360-degree view of your customer across multiple cloud platforms. Accelerate AWS, Microsoft Azure and Google Cloud Platform adoption, with the flexibility and portability to easily reuse development work across the cloud.
In this presentation, we break down new features for data quality, ESB, cloud, big data and more.
Unlocking the value of your data assets with talend 6
This document summarizes Talend 6, a data integration platform. Talend 6 is the first data integration platform built on Apache Spark, allowing for real-time big data integration. It includes new capabilities like smarter data masking, semantic discovery, and master data management REST APIs that power big data, mobile, and cloud applications. The presentation discusses Talend 6's modules for application integration, data integration, big data integration, and master data management, as well as its packaging and licensing options.
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The document discusses how Talend can be used for big data integration and analysis. It explains that Talend provides a graphical interface for creating ETL jobs that can integrate with Hadoop applications like HDFS, Hive, HBase without requiring MapReduce coding. Talend jobs can extract and load data from various sources into Hadoop for transformation and analysis. The document demonstrates a use case of analyzing log data from the banking industry using Talend and Hadoop to address business challenges without extensive coding skills or resources.
2020 Big Data & Analytics Maturity Survey Results
The survey collected responses from over 150 Big Data & Analytics leaders and found that:
1) Most enterprises are adopting a hybrid/multi-cloud strategy rather than a single vendor.
2) Investment in Hadoop is staying the same or increasing for most respondents.
3) Many companies plan to invest in data virtualization which allows data to be queried from multiple sources.
4) Data governance was cited as a top challenge across all respondents.
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In the afternoon, we’ll show you how Pivotal Cloud Foundry operators can empower development teams by enabling GCP integrations in their Pivotal Cloud Foundry environment. We’ll then focus on the developer experience of integrating applications with GCP’s powerful services.
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Connecta Event: Big Query och dataanalys med Google Cloud Platform
Avancerad dataanalys och ”big data” har under de senaste åren klättrat på trendlistorna och är nu ett av de mest prioriterade områdena i utvecklingen av nya tjänster och produkter för ledarföretag i det digitala landskapet.
Informationen som byggs upp i systemen när kundmötena digitaliseras har visat sig vara guld värt. Här finns allt vi behöver veta för att göra våra affärer mer effektiva.
Sedan sommaren 2013 har Connecta tillsammans med Google ett etablerat samarbete för att hjälpa våra kunder med övergången till moln-tjänster för bland annat avancerad dataanalys. För att göra oss själva redo att hjälpa våra kunder har vi under ett antal år utvecklat såväl kunskaper som skaffat oss erfarenheter kring Googles olika moln-produkter, som exempelvis ”Big Query”.
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Under eventet berördes följande punkter:
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- Google Cloud Platform och hur man genomför en framgångsrik molnsatsning
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Register today and learn how Gordon Foods:
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• Replaced slow custom replication scripts and speed up analytics
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This document provides an overview of Talend's big data solutions. It discusses the drivers of big data including volume, velocity, and variety. It then describes the Hadoop ecosystem, including core components like HDFS, MapReduce, Hive, Pig, and HBase. The document outlines Talend's big data product strategy, including solutions for big data integration, manipulation, quality, and project management. It introduces Talend Open Studio for Big Data, an open source tool for designing Hadoop jobs with a graphical interface. Finally, it briefly discusses Talend's partnerships around Hadoop distributions.
Talend Data Preparation Overview
This document summarizes Talend Data Preparation, a self-service data preparation tool. It empowers business users and analysts to clean and prepare data in minutes rather than hours. The tool addresses common data issues like missing values, different formats, and extra steps needed to access and prepare data. It is designed for a variety of roles including business analysts, data scientists, and IT developers. The document outlines the product editions including a free desktop version and integrated subscription version. Use cases include self-service BI, big data discovery, and enabling agile data stewardship. Instructions are provided to download the free version and get started with data preparation.
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See the new release: https://www.talend.com/products/talend-6/
Talend Summer ’17 delivers the latest cloud and big data innovations so you can get a 360-degree view of your customer across multiple cloud platforms. Accelerate AWS, Microsoft Azure and Google Cloud Platform adoption, with the flexibility and portability to easily reuse development work across the cloud.
In this presentation, we break down new features for data quality, ESB, cloud, big data and more.
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How ISVs are ingesting marketing data from different sources such as Salesforce, Eloqua, Marketo, Google Analytics, Omniture and more.
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This presentation introduces the concept of the "Integrator's Dilemma" and reviews some of the challenges faced by traditional data and application integration technologies when it comes to keeping up with the new enterprise data, application and API connectivity and management requirements. We review the landscape and share examples of the steps more and more IT organizations are taking to improve business alignment through faster access to trusted data.
To learn more, visit http://www.snaplogic.com/ipaas
Manipulating Data with Talend.
The document discusses how Talend can be used for big data integration and analysis. It explains that Talend provides a graphical interface for creating ETL jobs that can integrate with Hadoop applications like HDFS, Hive, HBase without requiring MapReduce coding. Talend jobs can extract and load data from various sources into Hadoop for transformation and analysis. The document demonstrates a use case of analyzing log data from the banking industry using Talend and Hadoop to address business challenges without extensive coding skills or resources.
2020 Big Data & Analytics Maturity Survey Results
The survey collected responses from over 150 Big Data & Analytics leaders and found that:
1) Most enterprises are adopting a hybrid/multi-cloud strategy rather than a single vendor.
2) Investment in Hadoop is staying the same or increasing for most respondents.
3) Many companies plan to invest in data virtualization which allows data to be queried from multiple sources.
4) Data governance was cited as a top challenge across all respondents.
Altis Webinar: Use Cases For The Modern Data Platform
This document discusses use cases for a modern data platform. It begins by outlining the agenda, then provides background on Altis, the consulting firm. The document defines a modern data platform and explains how it differs from traditional setups. It discusses three approaches for selecting initial use cases: lift and shift with a twist, hitting a roadmap milestone, and supporting an organizational strategy. Examples are provided of where each approach has worked and struggled. The document covers design patterns, managing costs, and identifying success criteria for use cases.
Dickey's Barbecue Pit Heats Up Analytics with Amazon Web Services
Heading to the cloud for Big Data analytics? Or, want to take your current projects to the next level?
When Dickey's Barbecue Pit needed an easy and cost-effective way to quickly understand — and act upon — rapidly growing business data across more than 550 stores, they turned to an advanced analytics solution hosted on Amazon Web Services. The results have been game-changing — driving insights to make real-time decisions on everything from staffing to inventory to marketing.
In this webcast, CIO Laura Rea Dickey presents a first-hand account of the company's journey to the cloud, including:
The business challenges that led to the new solution
How they picked the right platform and partner
Their success plan and results
And lessons learned along the way!
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Self-service data and data governance: friends or foes?
This document discusses enabling sustainable collaboration around self-service data. It notes that most enterprises run digital transformations unevenly, with leading sectors increasing digitization much more than the rest of the economy. The challenges of self-service data include lack of control, governance, and data quality. The document proposes a model of collaborative governance where everyone is a data producer and policies evolve over time. Talend products aim to address this with self-service data curation and preparation tools that business and IT users can collaborate on.
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Learn how to deliver software like Pivotal and Google.
In this one-day program, Pivotal and Google share how we deliver software applications. By demonstrating the capabilities of a cloud-native software organization, we’ll share the promises Pivotal Cloud Foundry can help you keep when combined with industry-leading services and infrastructure using Google Cloud Platform (GCP).
We built Pivotal Cloud Foundry so you can deliver software with increased velocity and reduced risk. Together we will share how to make the principles of Google’s Site Reliability Engineering (SRE) achievable on Pivotal Cloud Foundry. Google and Pivotal collaborated to make Pivotal Cloud Foundry a reliable place for your applications to live.
The day will open with an introduction to Pivotal, Google, and our shared partner ecosystem. Pivotal will share how culture and technology combine to reinforce each other. We will go hands-on to show you how easy it is to develop applications with Spring Boot, integrate with Google Cloud services, and use Concourse to automate shipping applications to Pivotal Cloud Foundry.
In the afternoon, we’ll show you how Pivotal Cloud Foundry operators can empower development teams by enabling GCP integrations in their Pivotal Cloud Foundry environment. We’ll then focus on the developer experience of integrating applications with GCP’s powerful services.
Questions? Please email us at cloudnativeroadshow@pivotal.io.
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Snowflake combines the power of data warehousing, the flexibility of big data platforms and the elasticity of the Cloud at a fraction of the cost of traditional solutions.
Discover the different scenarios and impact on your Business Objects environment, and learn how to handle them.
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This document discusses best practices for attaining excellence in big data integration. It notes that analytics and integration are top investment areas for big data technologies. There is still uncertainty around which Hadoop tools and distributions to use. The document recommends five best practices: 1) evaluate integration processes, 2) examine new approaches, 3) evaluate technology needs, 4) investigate dedicated integration technology, and 5) gain benefits that outweigh costs. It also discusses using the cloud for big data integration.
Creating Agility Through Data Governance and Self-service Integration with S...
SnapLogic announced the summer 2015 release of its Elastic Integration Platform, which features improved support for self-service cloud and big data integration. The release includes new capabilities for reusable components, data governance, and big data/cloud analytics. SnapLogic aims to simplify integration and make it accessible for non-experts through an intuitive interface and reusable "Snaps" integration components.
seven steps to dataops @ dataops.rocks conference Oct 2019
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Enabling DataOps with Unified Data Lineage
What is DataOps? Data Lineage for DataOps. How can MANTA help? Case study DataOps. DataOps implementation. E-books for free.
Visit us at https://getmanta.com/
Why Are Digital Disruptors Successful And How Can You Become One?
Who are the leading digital disruptors, and what if you were able to identify the secret of their success and apply it to your business? In this session we will do exactly that: review which digital businesses are successful and why, identifying the capabilities you need to be a successful digital business.
Speaker: Rached Dabboussi, Regional Director, Middle East, Pivotal
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Talend Summer '17 Release: New Features and Tech Overview
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Altis Webinar: Use Cases For The Modern Data Platform
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Dickey's Barbecue Pit Heats Up Analytics with Amazon Web Services
Self-service data and data governance: friends or foes?
Self-service data and data governance: friends or foes?
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Cloud-Native Workshop NYC - Leveraging Google Cloud Services with Spring Boot...
Webinar: Attaining Excellence in Big Data Integration
Webinar: Attaining Excellence in Big Data Integration
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Creating Agility Through Data Governance and Self-service Integration with S...
seven steps to dataops @ dataops.rocks conference Oct 2019
seven steps to dataops @ dataops.rocks conference Oct 2019
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Similar to Who is Talend?
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Informationen som byggs upp i systemen när kundmötena digitaliseras har visat sig vara guld värt. Här finns allt vi behöver veta för att göra våra affärer mer effektiva.
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The traditional ETL approach for moving data to the cloud is labor-intensive and costly, not to mention brittle and slow, draining organizations of time and resources that they just do not have.
In this webinar, you will hear from Gordon Food Service and how they sharpened their competitive edge by delivering the freshest data to Google Cloud and dished up a better customer experience through real-time data insights. You will discover how Qlik’s data integration platform enabled Gordon Food Service to successfully run their Data Modernization Analytics Program and build real-time analytic data pipelines, unlocking multiple data sources, to Google Cloud with simple yet powerful data delivery.
Register today and learn how Gordon Foods:
• Improved their Customer Experience
• Replaced slow custom replication scripts and speed up analytics
• Simplify and automate their real-time data streaming process
• Moves thousands of objects on a daily basis
Find out how your organization can breathe new life into your data in the cloud, stay ahead of changing demands while lowering over-reliance on resources, production time and costs.
BIG Data & Hadoop Applications in Finance
Explore the applications of BIG Data & Hadoop in Finance via Skillspeed.
BIG Data & Hadoop in Finance is a key differentiator, especially in terms of generating greater investment insights. They are used by companies & professionals for risk assessment, fraud detection & forecasting trends in financial markets.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
Big Data & Analytics Day
This document discusses IBM's big data and analytics solutions. It describes big data as involving large volumes and varieties of data. The document outlines challenges of traditional IT systems and how new systems of engagement require massive scale, rapid insights, and data elasticity. It promotes investing in IBM's big data and analytics platform, which harnesses all data and analytics paradigms. The platform includes infrastructure, governance, ingestion, warehousing, and analytics capabilities. It is presented as helping organizations be more right more often by understanding what happened, learning from data, discovering current trends, deciding on actions, and predicting outcomes.
Delivering real time analytics in 1 click
This presentation is about leveraging Big Data environments including Hadoop, Spark and Storm to:
- Easily integrate disparate data sources and streams in real time to capture business events as they occur
- Leverage predictive analytics and machine learning across all your data to derive the right insight at the right time
- Build decision-centric systems that use this insight to act in real time, so you can capture new opportunities as they occur
BIG Data & Hadoop Applications in E-Commerce
Explore the applications of BIG Data & Hadoop in eCommerce via Skillspeed.
BIG Data & Hadoop in eCommerce is a key differentiator, especially in terms of generating optimized customer & back-end experiences. They are used for tracking consumer behavior, optimizing logistics networks and forecasting demand - inventory cycles.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
Becoming a data driven organization
The document discusses Pivotal's platform and strategy. It notes that Pivotal's platform allows for agile application development, access to big data solutions, and infrastructure flexibility. Examples are given of how companies like GE have used Pivotal's technologies to innovate faster using data and applications. The document promotes Pivotal's platform as uniquely positioned to help enterprises modernize their use of applications, data, and analytics.
SIMPosium presentation_Bardess Qlik
Apache Hadoop is an open source software framework for distributed storage and processing of large datasets across clusters of computers. It allows businesses to combine multiple types of analytics on the same data at massive scale. Forrester predicts that 100% of large enterprises will adopt Hadoop and related technologies like Spark for big data analytics in the next two years due to advantages in storage capacity, emerging status, and ability to gain new business value from data. The document provides examples of how companies use big data and analytics to optimize operations and gain new insights.
Revolution in Business Analytics-Zika Virus Example
Apache Hadoop is an open source software framework for distributed storage and processing of large datasets across clusters of computers. It allows businesses to combine multiple types of analytics on the same data at massive scale. Forrester predicts 100% of large enterprises will adopt Hadoop and related technologies like Spark for big data analytics in the next two years due to benefits like solving storage problems and being a mature technology. Combining big data and analytics through Hadoop allows companies to optimize operations, gain new business insights, and build data-driven products and services.
BIG Data & Hadoop Applications in Logistics
Explore the applications of BIG Data & Hadoop in Logistics via Skillspeed.
BIG Data & Hadoop in Logistics is a key differentiator, especially in terms of optimizing back-end operations. They are used by companies for delivery optimization, demand & inventory forecasting and simplifying distribution networks.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
Are you ready for Big Data 2.0? EMA Analyst Research
The document discusses new opportunities arising from Big Data 2.0. It provides biographies of the two presenters, Shawn Rogers and John Santaferraro, and outlines the agenda and logistics for the webinar. The presentation then covers the shift towards more sophisticated Big Data use, the emergence of hybrid data ecosystems combining traditional and modern data sources, and the technical drivers and common use cases behind Big Data projects.
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Leading entrepreneurial outfits are disrupting traditional companies by rapidly building data-driven apps. They employ top software talent and effectively use storage, analytics and app-dev tools from various open source ecosystems. We show how companies of all sizes are now transforming into data-driven enterprises using their existing software skill sets by leveraging a single platform that combines flexible data storage systems, advanced analytics and agile app-dev PaaS frameworks, all available now in open source forums.
Big Data Expo 2015 - Talend Delivering Real Time
Pioneers like Mint in the financial sector, Amazon in retail or Netflix in media proved that turning Big Data into actions and insights at the customer touch points delivers measurable outcomes – increased transformation rate, larger share of wallet, better customer acquisition, just in time fraud detection, etc. They showcased that it is possible today to put in place a platform for the management of customer data that is able to integrate and deliver information in real time, regardless of the interaction channel being used… and as a result establish the foundation to disrupt a whole industry with data driven processes.
Now, this Customer Data Platform is reaching the mainstream through affordable technologies such as Hadoop and Spark, if empowered with embedded data and application integration, data governance, master data management, analytics and real time data processing. This platform, sometimes referred as Customer Data Platform (CDP) or as a Data Management Platform (DMP), allows organizations to reconstruct the entire customer journey by centralizing and cross referencing interactional or internal data such as purchase history, preferences, satisfaction, and loyalty with social or external data that can uncover customer intention as well as broader habits and tastes.
In this presentation, attendees will get knowledge of the key components of the platform, how to implement it, and how to run it in the context of the enterprise marketing activities.
Talend winter 2017 overview webinar
Talend Winter 17 enables IT to transform the data lake into qualified, clean data that anyone can use, so everyone can make more informed and faster decisions
The presentations covers mostly three key areas how Talend helps you get the most from your data lake.
Talend Data Preparation now has Big Data support so anyone can access trusted data in the lake and turn data into insight
New Talend Data Stewardship app helps IT and Business to collaborate on data quality problems and guide resolution. It empowers the business to ensure data integrity at the source.
3. And we all know that there is an amazing amount of innovation going on in the market today. Talend enables you to stay on the cutting edge of big data and cloud innovation with the flexibility to leverage pretty much anything out there in the market, such as Spark 2.0, AWS, Salesforce, MapR and more ….
BIG Data & Hadoop Applications in Retail
The document discusses applications of big data and Hadoop in retail industries. It describes how retailers can use big data insights from consumer activities and brand sentiment analysis to personalize shopping experiences, optimize e-commerce, store layouts, and inventory levels. Hadoop is presented as a framework for processing and analyzing large datasets that retailers can use to gain these insights from consumer data and improve operations and sales.
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the IT
Watch here: https://bit.ly/3iGMsH6
Today’s CIOs carry a paradoxical responsibility of balancing the yin and yang of the Business – IT interface. That is, "Backroom IT’s quest for Stability" with the “Frontline Business’ need for Agility".
A paradox that is no longer optional, but is essential. A paradox that defines the business competitiveness, business survival, and business sustainability. Also enables the visibility to the fuzzy future.
“Trusted Data Foundation with Data Virtualization” provides a powerful ammunition in the hands of the CIO, to effectively balance these Yin and Yang at the speed of the business. In a trusted, compliant, auditable, flexible and regulated fashion.
Find out more on how you can enhance the competitive edge for your business in the CIO special webinar from COMPEGENCE and DENODO.
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Watch full webinar here: https://bit.ly/3cbpipB
Uno de los sectores en los que la transformación digital está teniendo un efecto más disruptivo es el de la fabricación. Líderes del sector manufacturero están apostando por el Big Data, la computación en la nube, la inteligencia artificial y el Internet de las Cosas (IoT) entre otras tecnologías, además de contemplar la llegada de la 5G, con el fin de:
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- Crear valor añadido en los productos manufacturados
- Conectar la planta industrial con el punto de venta
- Impulsar el análisis en tiempo real de datos provenientes de diferentes cadenas de producción
Sin embargo, para alcanzar estos objetivos y llevar a cabo esta revolución tecnológica, también conocida como industria 4.0, las manufacturas tienen que enfrentarse a una serie de desafíos no negligentes. El sector industrial es el que genera más datos en el mundo, y en la era digital, la velocidad, la diversidad y el volumen exponencial de los datos pueden superar las arquitecturas de TI tradicionales. Además, la mayoría de los fabricantes se enfrentan a silos de datos, lo que hace que su tratamiento sea lento y costoso. Necesitan entonces una plataforma de TI fiable que permita integrar, centralizar y analizar datos de distintas fuentes y diferentes formatos de manera ágil y segura para poner la información al servicio del negocio.
Los expertos de Enki y Denodo te proponen este seminario online para descubrir qué es la virtualización de datos, y por qué líderes del sector apuestan por esta tecnología innovadora para optimizar su estrategia de TI y conseguir un ROI significativo gracias a un acceso más rápido, simple y unificado a los datos industriales.
Die Big Data Fabric als Enabler für Machine Learning & AI
This document discusses how a big data fabric can enable machine learning and artificial intelligence by providing a flexible and agile way for users to access and analyze large amounts of data from various sources. It explains that a big data fabric, powered by data virtualization, allows organizations to build a modern data ecosystem that provides governed access to both structured and unstructured data stored in different systems. This helps users develop new production analytics and insights. The document also provides an example of how Logitech used a big data fabric and data virtualization to improve their customer analytics.
What is the future of data strategy?
Watch here: https://bit.ly/3i2iJbu
You will often hear that "data is the new gold". In this context, data management is one of the areas that has received more attention by the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.
Join us for an exciting session that will cover:
- The most interesting trends in data management.
- Our predictions on how those trends will change the data management world.
- How these trends are shaping the future of data virtualization and our own software.
Navigating the Future of the Cloud to Fuel Innovation
The future of the cloud holds a wealth of promise for those who know how to leverage the power of high-performance computing to fuel business innovation and growth. As predicted, cloud has quickly become a prominent technology for executing digital transformation, but many enterprises are still struggling to understand how the cloud can help future-proof their business.
This second webinar in our Cloud First, Business-Driven webinar series explored some of the key concepts around the future of cloud, and how to think about what’s next for your enterprise. We discussed:
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-Personal cloud with intelligent agent
-Personalized pricing and payment systems
-Taking hybrid cloud to the next level
-Customer-defined products
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Who is Talend?
- 1. 1 ©2015 Talend Inc Talend Overview
- 2. 2 Connecting the Data-Driven Enterprise Data-Driven companies… · 23 times greater customer acquisition · 6 times greater customer retention · 19 times more profitability McKinsey’s DataMatics 2013 Survey - Using customer analytics to boost corporate performance
- 3. 3 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 (Revenue Growth) Data Integration Master Data Management Data Quality Big Data Application Integration (Estimated) Hadoop 2.0 Spark & Cloud Key Facts • Founded in 2006 • 500+ employees worldwide • 1700+ customers • 2M+ open source downloads Talend: A History of Innovation and Growth
- 4. 4 BIG DATA, CUSTOMERS & SUPPLIERS ON-PREMISE APPS CLOUD APPS I IOT SENSORS I CUSTOMERS I SUPPLIERS DEVELOPER STUDIO Web UI DATA FABRIC BIG DATA DATA INTEGRATION MASTER DATA MANAGEMENT APPLICATION INTEGRATION CLOUD INTEGRATION
Editor's Notes
- Talend is the leading open source integration software provider focused on enabling organizations to become data-driven enterprises A recent report from McKinsey Global Institute highlights the impact of making decisions based on data-driven insights. In the end, companies that are data-driven, that can gather, process and analyze data as it flows through the enterprise, make better decisions This approach results in a 23 times greater likelihood of customer acquisition, a 6 times greater likelihood of customer retention and a 19 times greater likelihood of profitability. Talend 6 delivers new capabilities that make companies even more data-driven, able to turn all their data into decisions.
- At Talend, we have a history of making complex technology easy to use, community-driven, accessible to all and affordable. From our beginnings in 2006 with Data Integration we have grown to over 1700 customers and over 100,000 community members. From data quality, to MDM to Application Integration to Big Data, our products help companies become data-driven.
- The Talend Data Fabric is the industry’s only integration platform that lets customers seamlessly move between batch, streaming and real-time while running on-premises, in the Cloud or with Big Data. Only Talend gives users a single design interface for all their big data, data integration, application integration, cloud, data quality and master data management needs. And with the Talend Data Fabric, you can Integrate Anything. Operation in Real-Time, and Act with insight. This provides unparalleled productivity for developers, and lower Total Cost of Ownership for your company.