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Talend to Acquire Stitch, a Leader in Self-Service Cloud Data Integration

Adds New Offering for New Cloud Data Warehouse Users and a Frictionless Sales Channel Redwood City, CA - November 7, 2018 - In a move designed to accelerate its cloud momentum, Talend today announced it has entered into a definitive agreement to acquire Stitch, a leader in the fast-growing, self-service data integration market. Stitch offers an easy-to-use service for moving data from popular sources to leading cloud data warehouse platforms. The acquisition gives Talend both a strong solution for the cloud data warehouse market and a frictionless sales motion to land new cloud customers efficiently. “Stitch is a great addition that gives us a compelling offering in the market for simple, self-service integration for cloud data warehouses,” said Mike Tuchen, CEO, Talend. “In addition, we believe Stitch will work as an efficient high-volume way to acquire new cloud customers to whom we can market our advanced cloud solutions for data integration, transformation, cleaning, preparing and cataloging.” As companies standardize on using the cloud for analytics, users increasingly need to load cloud data warehouses and data lakes quickly. Most departments and small businesses lack the bandwidth and sometimes the skill set to use existing solutions, causing delays that lead to missed opportunities and poor customer experiences. Stitch, which will be rebranded as Stitch Data Loader, overcomes this set of challenges by enabling a broader population of users, including data scientists, data and business analysts, and engineers, to load data without relying on data integration specialists. “Talend is an ideal fit for Stitch. Their products complement ours, and they share a similar culture and market vision,” said Jake Stein, co-founder and CEO, Stitch. “The move to the cloud and data-driven business is changing the integration market, bringing new users with different needs. With the combination of Talend and Stitch, we believe we become the only vendor that can serve all levels of the market and all users of cloud analytics.” According to the Gartner Group, the increase in new roles such as data scientist, data engineer, data steward, and others that need access to data is expanding dramatically. In fact, Gartner Group predicts that “By 2020, the number of data and analytics experts in business units will grow at three times the rate of experts in IT departments, which will force companies to rethink their organizational models and skill sets.”[1] In addition to enhancing Talend’s product portfolio, the acquisition is expected to help strengthen Talend’s value proposition for cloud ecosystem partners including data warehouse partners such as AWS, Azure, Google, and Snowflake. “Snowflake is pleased that two of our partners are joining forces,” Snowflake CEO, Bob Muglia said. “The combination of Talend and Stitch will provide Snowflake customers with some of the broadest data integration capabilities and help them move their workloads to Snowflake with confidence.” Upon closing, Jake Stein will become SVP of the Stitch business unit reporting directly to Talend, CEO, Mike Tuchen. To learn more about Stitch or try the service for free, visit Stitch. Under the terms of the agreement, Talend will acquire Stitch for approximately $60 million in cash, subject to certain transaction adjustments. The transaction is expected to close later in the fourth quarter subject to customary closing conditions. Like this story? Tweet this: .@Talend to strengthen cloud position with planned acquisition of @Stitch_Data a frictionless #Self-Service #CloudIntegration service https://bit.ly/1PAUaie [1] Gartner “How to Enable Self-Service Analytics and Business Intelligence: Lessons From Gartner Award Finalists”, Carlie J. Idoine, Cindi Howson   Forward-Looking Statements This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934. Forward-looking statements generally relate to future events or our future financial or operating performance. In some cases, you can identify forward-looking statements because they contain words such as “may,” “will,” “should,” “expects,” “plans,” “anticipates,” “could,” “intends,” “target,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential” or “continue” or the negative of these words or other similar terms or expressions that concern our expectations, strategy, plans or intentions. Forward-looking statements in this press release include, but are not limited to, our expectations with respect to the acquisition of Stitch and regarding the future demand and behavior of customers and the data integration market, our expectations regarding the evolution of our marketplace and our ability to capture an increasing share of the big data and cloud integration market. Our expectations and beliefs regarding these matters may not materialize, and actual results in future periods are subject to inherent risks, uncertainties and changes in circumstance that are difficult or impossible to predict. Consequently, you should not rely on these forward-looking statements. Actual outcomes and results may differ materially from those contemplated by these forward-looking statements as a result of such uncertainties, risks, and changes in circumstances. Those risks, uncertainties and assumptions include the risk that the proposed transaction with Stitch may not be consummated in a timely manner; the effect of the announcement or pendency of the transaction with Stitch on our business relationships, operating results and business generally; risks related to diverting management's attention from ongoing business operations; unexpected costs, charges or expenses resulting from our acquisition of the Stitch business; our ability to retain existing customers and generate new customers; the market for data integration solutions, particularly our big data and cloud integration solutions, not continuing to develop; our ability to achieve our plans, forecasts and other expectations with respect to Stitch's business after completion of the proposed transaction; competition from other products and services; and general market, political, economic and business conditions, including the fluctuation of foreign currency exchange rates. The forward-looking statements contained in this press release are also subject to other risks and uncertainties, and the foregoing list of factors is not exclusive. Additional risks and uncertainties that could affect our financial and operating results are included under the captions “Risk Factors” and “Management’s Discussion and Analysis of Financial Condition and Results of Operation” and elsewhere in our most recent filings with the Securities and Exchange Commission, including our most recent reports on Form 6-K and our Form 20-F filed with the SEC on March 5, 2018. Our SEC filings are available on the Investors section of Talend’s website at http://investor.talend.com and the SEC’s website at www.sec.gov. The forward-looking statements in this press release are based on information available to us as of the date hereof, and we disclaim any obligation to update any forward-looking statements provided to reflect any change in our expectations or any change in events, conditions, or circumstances on which any such statement is based, except as required by law.
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Talend Fall ’18 Enables Enterprises to Deliver Insight-Ready Data at Scale

Major integration platform update adds advanced catalog and API development capabilities and dramatically accelerates machine learning at scale Redwood City, CA and London - October 16, 2018 - Talend, a global leader in cloud data integration solutions, today announced a major update to Talend Data Fabric, the company’s unified data platform for data integration across complex, multi-cloud and on-premises environments. Announced at Talend Connect UK, Talend’s Fall 2018 release delivers insight-ready data at scale with new features including Data Catalog, which creates a single source of trusted data, and Cloud Application Programming Interface (API) Services, which speeds access to standardized data for building data-as-a-service applications and increasing productivity. Talend’s new release also accelerates running machine learning algorithms at scale with extended serverless big data support. “Data is at the heart of digital transformation, yet the promise of data remains elusive for many companies,” said Ciaran Dynes, SVP of Products, Talend. “For businesses to survive and succeed in this ever-evolving, expanding and complex data landscape, there is a need to optimally automate every step of the data value chain and enable self-service for more data consumers. With this release, Talend helps enterprises dramatically improve how they can organize, process, and share data, which in turn enables organizations to collaborate and innovate on insight-ready data at scale.” “As part of our cloud-first strategy, Talend has enabled us to create a governed data lake with self-service access for business units and clients in an effort to monetize new services and generate additional revenues,” said Abderrahmane Belarfaoui, CDO, Euronext. “We compete in a highly regulated industry and face many requirements that push the processing, agility and cost of IT platforms. Using Talend, we have the confidence that our data is compliant, organized and highly sharable, with the efficiency and speed we require in order to stay ahead of the competition.”   As part of the new Talend Data Fabric, Talend adds an API delivery platform enabling data-driven businesses to simplify data access. Talend Cloud API Services provides full API development lifecycle support from API design to test and deployment, enabling significant time savings in building and maintaining APIs. This API foundation serves as a standard and scalable way for companies to make data available to more users inside and outside an organization and to create new products and services that can drive new business models, revenue and profitability. “In this new era of digital transformation, nearly every organizational role is using data daily to inform decisions and actions,” said Stewart Bond, Research Director, Data Integration and Data Integrity Software, IDC. “Data cataloging software is experiencing a higher than market growth rate because it is filling a gap in the intelligence required to help organizations discover data and derive better insights to inform decisions and drive actions.” To organize data at scale, Talend adds new Data Catalog capabilities that enable a single source of trusted data. The Data Catalog automatically crawls all data, whether it is in a data lake, on-premises or in the cloud; profiles and classifies all the data; automatically finds and suggests relationships between data, and provides easy search-based access so end users can leverage trusted data when they need it to make immediate business decisions. The Fall 2018 Talend Data Fabric also accelerates running machine learning models at scale with native, extended serverless big data support for Microsoft Azure Databricks as well as Qubole in AWS cloud environments. Talend’s self-service Apache Spark processing makes it easy to spin up a cluster and control costs by just paying for what is used through serverless and spot instances. The new capabilities help to automate insight and enables businesses to process more data at lower costs. The comprehensive Talend Data Fabric delivers a unified platform for data integration across public, private,and hybrid cloud, as well as on-premises environments, and facilitates greater collaboration between IT and business teams. Combined with an open, native and extensible architecture for rapidly embracing market innovations, Talend enables customers to cost-effectively meet the demands of ever-increasing data volumes, users and use cases. The Fall 2018 update to the Talend Data Fabric will be available in November for free to customers with up-to-date paid subscriptions. For information on new features and capabilities, please visit https://www.talend.com/products/whats-new. Additionally, a webinar detailing the Fall 2018 update will take place on Nov. 8. Like this story? Tweet this: Deliver insight-ready data at scale with @Talend Fall. Build APIs, go #serverless, and create a single source of truth #dataintegration https://bit.ly/2EpNSWJ
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Innovative Cloud and Big Data Customers Honored in 2018 Talend Data Masters Awards

Winners Including AB InBev, Affinity Water, Bank Danamon, Euronext, JD Sports, Kent State University, Royal Caribbean and Uniper Exemplify Strategic Use of Data for Business Transformation Redwood City, CA - October 16, 2018 - Talend, a global leader in cloud data integration software, today announced the winners of its annual awards program, the Talend Data Masters. The awards celebrate companies that demonstrate vision and leadership in deploying the Talend Data Fabric in compelling ways to help make their businesses more agile, effective and data-driven. The seven Grand Prize winners and five Finalists—representing forward-thinking organizations of all sizes, across a range of industries—were revealed in a ceremony during the annual Talend Connect user conference taking place in London. “Our cloud and big data customers continue to push the boundaries on how data can be used as a strategic asset,” said Mike Tuchen, CEO, Talend. “The Talend Data Masters winners have embraced innovative technologies to reinvent product and service delivery with the goal of transforming their businesses. We are honored to showcase our customers’ achievements and celebrate their success.” Data Masters winners are judged using a range of criteria including creativity and innovation, project scope and complexity, designing new cloud and big data use cases, as well as overall business value achieved. This year’s Talend Data Masters recipients include: Grand Prize Winners Data-Driven Transformation Uniper - A global energy enterprise with around 12,000 employees, the company created an Azure cloud-based data analytics platform to integrate over 100 data sources including temperature and IoT sensors, from various external and internal sources. They constructed the full flow of business transactions––spanning market analytics, trading, asset management—while enabling data governance and self-service, resulting in reduced integration costs by 80% and achieving ROI in 6 months. Moving to the Cloud Euronext - Formed from five different European exchanges, the company migrated one of the largest Big Data storage projects in Europe, its 100TB base with 1.5 billion messages per day, to a hybrid AWS cloud, with the goals of achieving compliance with GDPR, enabling self-service for traders and generating new services and revenue. Kent State University - With a strategic priority on an exceptional user experience for existing and prospective students, the university is transforming its IT systems to become more agile and responsive, while reducing overall IT costs. Its first major cloud applications are its CRM for an integrated student-to-alumni relationship, and a student information portal for admissions applications. Business Excellence AB InBev - The world’s largest brewer extracts data from a vast range of sources that are of varying types, systems and locations, including IoT devices for data discovery to better understand customer tastes, improve store and bar experiences, supply chain optimization, product development and more. Their enterprise data hub resides on Azure cloud. Customer Experience Bank Danamon - One of Indonesia’s largest banks is focused on delivering an unparalleled customer experience with its big data analytics platform serving as the foundation of their digital and business transformation. The platform is reducing development and operational costs, managing compliance and enhancing data protection to minimize fraud. Best Systems Integrator Capgemini with Royal Caribbean Cruise Lines - With the goal to deliver a personalized experience across the entire customer journey, this partnership delivered an Azure cloud-based Customer Data Platform, ingesting more than 20 data sources from different systems, formats, suppliers and timelines for consumption through analytics, reports and ad hoc data exploration. The vision is to provide a comprehensive view of the customer to be leveraged by corporate and on-board staff to enhance guest interactions and experience. Best Value-Added Reseller Datalytyx for their work with Affinity Water and JD Sports - Affinity Water built an AWS-based cloud data lake leveraging smart meter data and other sources to improve data management, reporting and analytics to better serve their 3.6 million customers and meet regulatory requirements. JD Sports, a retailer of sports fashion, streamlined operations into an integrated warehouse management system, which significantly improved store delivery accuracy and efficiency. In addition to recognizing the Grand Prize winners above, Talend also selected five companies as Award Finalists based on their innovative use of cloud and big data technologies to lower costs, increase productivity and improve efficiencies. The honored companies are as follows: Sabre - Airlines use the company’s applications for planning and strategic operations, including crew schedules, flight paths and aircraft. Customers needed to upgrade badly outdated versions quickly and efficiently. Sabre developed a new direct data transfer to migrate to its latest suite, reducing migration costs by 80 percent, and shortening the time from weeks to hours. Otto (GmbH & Co KG) - One of the world’s biggest e-commerce companies wanted to improve its customer experience. The company and its integration partner cimt deployed a microservices-based architecture leveraging real-time big data in the largest cluster in Germany, using continuous integration and delivery methodology on a container platform.  Bayer Pharmaceutical - To make it faster and easier for researchers to analyze drug development data, the company deployed a microservices-based architecture for its data platform. Having clean, verified traceable clinical data saves development time, accelerates the process of determining proper dosage and drug interactions, and leaves a clear audit trail as per FDA GxP guidelines. Tipico - To become a data-driven organization and place data in the center of every process and decision, the company implemented a 50TB modern cloud data platform. Offering real-time, self-service access, and powering AI/Data Science models, this consolidated view greatly improved the customer experience while complying with new GDPR standards. This enabled Tipico to fully leverage its data and automate every routine action with intelligent processing. Xing - The leading online business network in German-speaking countries, the company rolled out a new integrated architecture, vastly accelerating file processing while simplifying data integration. Near real-time marketing data analytics now offer rapid insight into campaign effectiveness and support more agile decision-making. The 2018 Talend Data Masters winners are using the Talend Data Fabric and partner technologies to achieve their digital transformation goals. To learn more about Talend and its complete portfolio of solutions visit www.talend.com.
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Talend Adds New Asia Pacific Cloud Data Infrastructure to Meet Increasing Regional Demand for Talend Cloud

Enabling APAC Enterprises to Leverage Data Value While Meeting Strict Local Data Residency, Privacy, and Scalability Requirements Redwood City, CA & Tokyo - October 8, 2018 - Talend, a global leader in cloud data integration solutions, today announced it is supporting Talend Cloud’s expansion and growth in Asia Pacific (APAC) with new regional cloud data infrastructure. With growth exceeding 100 percent year over year in APAC, Talend is helping the region's enterprises put more diverse data, applications, and APIs to work while addressing data privacy, residency, and performance requirements. Talend Cloud provides a single platform for data integration across cloud and on-premises environments, and allows for greater collaboration between IT and business teams. Talend's new regional cloud infrastructure is built on Amazon Web Services (AWS) and supports Talend Cloud in the AWS Asia Pacific (Tokyo) region with AWS Asia Pacific (Singapore) region serving as the backup. In today’s digital transformation journey, Talend customers are moving to the cloud to improve operational efficiency, reduce costs, and increase data availability. Talend Cloud enables customer adoption of high-volume data, real-time advanced analytics, data lakes, data warehouses, and self-service applications. New regulations and data privacy laws increasingly impose the localization of data in the country of processing, which requires the implementation of local solutions for data integration. There are several benefits for Talend Cloud customers with this launch: Better local performance: For customers who are using Talend Cloud services in the APAC region, the new cloud infrastructure will lead to faster performance with higher throughput and lower latency. Improved data security with proximity: Maintaining data within the APAC region means the data does not have to make a long trip outside of the region, which can reduce the risk of data security breaches in transit and ease companies’ worries about security measures. Reduced compliance and operational risk: The new cloud data infrastructure offers an instance of Talend Cloud that is deployed independently in APAC, which is vital for allowing customers to maintain high standards regarding data residency, security, and operational best practices. As industry and government regulations evolve, Talend Cloud customers will be able to maintain flexibility to keep up with the changes. "Our expansion in APAC reinforces our commitment to supporting customers wherever they operate around the world,” said Ciaran Dynes, SVP Products, Talend. "We see strong customer interest in data lakes, analytics, and machine learning on AWS and building Talend Cloud on AWS allows us to address demand around the world.” Talend Cloud is a highly secure and scalable Integration Platform-as-a-Service (iPaaS) that helps organizations put more data to work by increasing its availability, quality, and value. Talend’s native, portable, and unified data platform provides the performance, governance, and collaboration required for companies to liberate their data, so everyone can trust it and use it to drive business value. For more information about Talend Cloud and its complete portfolio of solutions visit www.talend.com or sign up for a 30-day free trial here. Like this story? Tweet this: @Talend commissions a local cloud data architecture in APAC using @AWSCloud Regions to support Talend Cloud and help organizations with compliance #iPaaS https://bit.ly/2AVUTIh
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Talend Partners with Snowflake and Datalytyx to Deliver Self-Service “Pay-as-you-Go” Data Analytics and Data Science for Enterprises in Europe

New Platform Enables Business Users to Access Live and Instant Reporting in the Cloud REDWOOD CITY, Calif. and LONDON, United Kingdom - September 25, 2018 - Talend, a global leader in cloud data integration solutions, Snowflake Computing, the data warehouse built for the cloud, and Datalytyx, the leading provider of big data engineering, data analytics, data science and cloud solutions, today unveiled a new Platform as a Service designed to provide business users, including sales and marketing, with direct access to relevant data analytics and data science capabilities, without relying on IT. It allows any business user to manipulate data to spot business opportunities without a background in statistics or technology and with no additional IT costs and dedicated resources. Available from Datalytyx, the new Self-Service Data Platform includes Talend Cloud for data governance and management to allow business users to integrate, clean and master data coming from a range of sources, including Salesforce, SAP and Marketo. The data is then centralized in a smart data lake powered by Snowflake offering infinite scale and zero administration requirements. Datalytyx provides the complete, fully managed cloud data platform on a monthly subscription fee with no setup costs. Included in the offering is 24/7 service & support and up to three trained staff to build and manage data pipelines. The customer just turns the service on, decides what needs to be ingested, and Datalytyx does the rest.  Customers can connect to popular data science and visualization tools including Tableau, Power BI and Zoomdata. Within a day, customers can examine their data, and within 20 to 60 days, depending on the complexity, customers can generate new insights and gain a truly 360-degree view of their customers by combining data in new ways and providing secure access to it. VT iDirect®, a global leader in IP-based satellite communications, is one of the first companies to use the new Self-Service Data Platform to optimize satellites’ performance. “The Self-Service Data Platform provided by Datalytyx takes away all of the complexity and challenge in running a Big Data Platform,” said Guy Adams, VP of Engineering, VT iDirect. “The power of Talend’s data management solutions and the scalability and flexibility of Snowflake’s data warehouse provide the power to analyze vast amounts of network data for any size of network operator.” According to Gartner, “By 2020, the number of data and analytics experts in business units will grow at three times the rate of experts in IT departments, which will force companies to rethink their organizational models and skill sets.”[1] Thus, the importance of enabling business users to access and manipulate data in a simple way is becoming an organizational necessity. “IT teams are struggling to keep pace with growing data volumes and the increasing number of employees that want data insights,” said Ciaran Dynes, SVP, Products, Talend. “Through our collaboration with Snowflake and Datalytyx, we’re significantly lowering the barrier to entry to organization-wide data access in terms of both cost and IT management.” “Data growth is exploding, and most organizations don’t consistently turn data into action due to fundamental challenges that include data silos, painful upfront costs and overprovisioned capacity,” said Justin Mullen, Co-Founder and Managing Director, Datalytyx. “Our Self-Service Data Platform enables the business users to consume data easily, while reducing the costs traditionally associated with data management and analytics using the scalability of the cloud and pay-as-you-go model.” “Today’s leading data-driven organizations want to find new ways to get instant access to data and real-time insights, while guaranteeing data governance,” said Walter Aldana, VP Alliances, Snowflake. “The Self-Service Data Platform provided by Datalytyx answers the digital challenges organizations are facing today, including access to trusted data easily, the enablement of the orchestration of data exchanges and governance.” To learn more about the full capabilities and benefits of the Self-Service Data Platform from Talend, Datalytyx and Snowflake, visit www.datalytyx.com. An on-demand webinar is also available here. For more information about how VT iDirect leverages the power of the new Self-Service Data Platform, register to Talend Connect UK, taking place on Oct. 16 in London. Like this story? Tweet this: .@Talend partners with @Datalytyx and @SnowflakeDB to enable business users to turn data into action in the #cloud https://bit.ly/2LnKLxJ   About Datalytyx Datalytyx is a leading provider of big data engineering, data analytics and cloud solutions, enabling faster, more effective and more profitable decision-making throughout your enterprise. Datalytyx specialises in deployments of data driven solutions, and leading implementations into high performance data environments. Together with industry leading partners – including Talend, Snowflake, Cloudera, AWS, Azure, Tableau, Zoomdata and Databricks – we deliver high quality solutions to diverse clients across multiple sectors. Our proven design patterns for data pipelines and cloud data warehouses are powering real-time and batch data processing engines across an array of sectors. Our customers are now benefiting from the ability to ingest, curate, cleanse, integrate and enrich data from any data source or IOT device, at any scale and speed. Our clients include JD Sports, iDirect, BetVictor, Flybe, Calor Gas and many more.  About Snowflake Computing Snowflake is the only data warehouse built for the cloud. Snowflake delivers the performance, concurrency, and simplicity needed to store and analyze all data available to an organization in one location. Snowflake’s technology combines the power of data warehousing, the flexibility of big data platforms, the elasticity of the cloud, and live data sharing at a fraction of the cost of traditional solutions. Snowflake: Your data, no limits. Find out more at snowflake.net. [1] Gartner “How to Enable Self-Service Analytics and Business Intelligence: Lessons From Gartner Award Finalists”, Carlie J. Idoine, Cindi Howson
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Multiple Talend Open Source Experts to Speak at ApacheCon North America

Redwood City, CA - September 24, 2018 - Talend, a global leader in cloud integration solutions, announced today that five members of its Open Source team will be speaking at this year’s ApacheCon North America taking place September 24-27 in Montreal. This year’s conference will feature the latest innovations in Cloud, Devops, containers, IoT, Servers, Web Frameworks, and many more Apache projects. Talend Open Source team members who will be in attendance include Alexey Romanenko, Ismaël Mejía, Jean-Baptiste Onofré, Etinne Chauchot, and Colm O’Heigeartaigh. The group will cover a series of Apache software related topics around APIs, data-intensive applications, and more. Details on Talend’s Featured Conference Sessions: When: Wednesday, September 26 at 10:15 am Where: Ballroom 250 What:Alexey Romanenko, Open Source Developer & Ismaël Mejía, Open Source Software Developer at Talend, will present, “Building portable and evolvable data-intensive applications with Apache.” In this talk, Romanenko and Mejía will discuss the dimensions of evolution that a big data architecture should rely on with Apache based systems. When: Wednesday, September 26 at 11:15 am Where: Ballroom 250 What:Ismaël Mejía, Open Source Software Engineer at Talend and Eugene Kirpichov at Google, will present, “Robust, performant and modular APIs for data ingestion with Apache Beam.” In this talk, the duo will discuss how Beam's IO connectors approach correctness (e.g. fault tolerance, error handling) and performance (scalability, throughput, latency), and will introduce a key element of Beam's IO philosophy - the idea that IO is no different from other data processing, and should be expressed via the same programming model primitives and be subject to the same ideals of modularity. When: Wednesday, September 26 at 12:15 pm Where: Ballroom 250 What:Etienne Chauchot, Open Source Developer at Talend, will present, “Universal metrics with Beam.”In this talk, Chauchot will highlight the Beam metrics API, the integration with the runners and finally an end to end example. When: Thursday, September 27 at 12:20 pm Where: Terrasse 30 What:Jean-Baptiste Onofré, Technical Fellow & Software Architect at Talend, will present, “Enterprise platform with Apache Karaf and related.” In this talk, Onofréwill show how to build a complete enterprise platform mixing Karaf and several subprojects. Software architects, developers and DevOps will see all benefits of using Karaf in the enterprise, covering most of their needs. When: Thursday, September 27 at 4:40 pm Where: Terrasse 30 What:Colm O’Heigeartaigh, Open Source R&D Software Engineer at Talend, will present, “What's new in Apache Ranger 1.0.0.” In this talk, O’Heigeartaigh we will give an overview of the authorization challenges of Big Data projects, and how Apache Ranger can be used to solve these problems. The new features and capabilities of the 1.0.0 release will also be covered, as well as a guide to what's coming in future releases.
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Talend’s Self-Service Offerings Reach 100,000 Customer Downloads

Bridges gap between IT and business users to lower time-to-value of data Redwood City, CA - September 20, 2018 - Talend, a global leader in cloud data integration solutions, today announced it has reached 100,000 customer downloads of its self-service data prep and data stewardship offerings as part of the Talend Platform. Additionally, Talend’s self-service capabilities are used by more than 100 companies around the globe as part of a paid cloud or on-premise subscription. This momentum signifies the growing need to bridge the gap between IT and business users in organizations to help lower the time-to-value of data. Talend customer Avalara, which helps businesses of all sizes achieve compliance with tax regulations, currently uses self-service tools from Talend to manage the data in their automated solution. Since implementing Talend, Avalara has seen 78 percent reduction in time logged for manually processing data. "Combining intuitive self-service data preparation with data integration helps us accelerate data usage across the organization and meet our monthly deadlines for filing tax returns for our customers in various countries," said Chris Potter, Data Services Architect at Avalara. Data preparation and data stewardship technologies transform how IT and business users work together to turn data into trusted insight. The Talend Platform includes intuitive self-service data preparation and stewardship tools with data integration to accelerate data usage across companies and cloud environments. “Data analysts spend up to 80 percent of their time cleaning data instead of analyzing it. By providing governed access to self-service offerings, we quickly bring data into the hands of users across IT and business groups and help accelerate time to insight,” said Jean-Michel Franco, Senior Director Product Marketing, Talend. “Talend is committed to delivering powerful integration tools that foster discovering, cleansing, and sharing of data on premise and in the cloud.” Used with the Talend Platform, Talend’s self-service product offerings include: Data Preparation to enable users to discover, blend and clean data Data Streams to kickstart streaming data ingestion in the cloud (with AWS) Data Stewardship to assign pre-defined data quality tasks in a limited time frame to help orchestrate collaboration and quality data For more information on Talend’s self-service offerings, visit the product page here.
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Talend Supports La Mutuelle Générale to Power its AWS Cloud Data Lake

Health Insurance Company Accelerates the Implementation of New Services and Strengthen Business Applications Redwood City, Calif. & Suresnes, France - September 18, 2018 - Talend, a global leader in cloud data integration solutions, today announced that La Mutuelle Générale, a leading provider of insurance solutions for businesses and individuals, has chosen Talend Cloud Platform to support the company in their project to build an Amazon Web Services (AWS)-based cloud data lake to serve as the foundation of all their data initiatives. With Talend, La Mutuelle Générale provides self-service data access for its data scientists to improve customer relations and offer innovative services. "As is the case in many industries, the insurance sector is in the midst of a transformation from a technical to a service industry. As part of our global business approach, we place digitalization, data and innovation at the heart of our strategy and customer satisfaction," said Yan Truong, BI, Big Data and Data Engineering Manager at La Mutuelle Générale. "Mastering, exploiting and making data usable quickly is critical. In order to serve business needs as closely as possible, we therefore chose to equip ourselves with a cloud data lake, and to rely on the Talend Cloud platform which operates throughout the data value chain, from its integration to its preparation by business users.” At La Mutuelle Générale, the data initiatives began with the desire to facilitate the work of data scientists and enable them to operate a trustworthy self-service database, without the need to solicit IT teams. La Mutuelle Générale therefore initiated the cloud data lake project in September 2017, wishing to take advantage of the data processing for the benefit of its customers and its development. By accelerating innovation cycles while retaining the full potential of the original data integrity, the cloud data lake is intended to be the foundation for all its data initiatives, whether for improving customer relationships or creating new services. With Talend Cloud, La Mutuelle Générale benefits from a data preparation and integration platform that is compatible and complementary with AWS' technological ecosystem, while producing code that can be reused in its own development. By reducing hand coding, La Mutuelle Générale is thus able to concentrate on its data engineering mission without worrying about the management of complex infrastructures required for big data approaches. Beyond implementing a cloud data lake, La Mutuelle Générale gains agility with Talend by quickly delivering prototype use cases across the platform, enabling business teams to be included right from the data preparation phase with Talend Data Preparation, and subsequently automating data integration jobs with a few clicks via Talend Data Integration. "La Mutuelle Générale is developing an ambitious project based on data with the aim of creating new uses cases," said Jacques Padioleau, VP Sales France, Talend. "We are proud to support them in the development of these new practices aimed at putting data at the heart of their strategy, and thus being able to provide new innovative services to their customers.” From now on, data scientists and business analysts have access to the cloud data lake and its rich data to support business teams in their decision-making and the implementation of innovative services for their customers. This democratization of data among the company's various businesses also enabled La Mutuelle Générale to be rewarded with the Big Data 2018 Innovation Trophy in the B2C category for their project to optimize incoming mail management, through a form of artificial intelligence (machine learning). For more information about Talend's portfolio of solutions, including Talend Cloud Platform, visit www.talend.com or the Talend blog. You like this story? Share it on Twitter: .@Talend supports @LaMut_Generale for the implementation of a @awscloud data lake to improve customer relations and offer new innovative services https://bit.ly/2kerC3S    About La Mutuelle Générale A major player in the social economy, La Mutuelle Générale provides protection to more than 1.4 million people. It operates in the individual and corporate markets, in health and preventative healthcare. Its experience of more than 70 years gives the company a solid expertise in the health insurance industry. Beyond the simple refund of medical expenses, it favors in particular the personalized support of its subscribers through innovative services based on new information and communication technologies, particularly in the field of preventativeion healthcare. Faithful to its mutual values, La Mutuelle Générale is building a long-term strategy for the sole benefit of its adherents. www.lamutuellegenerale.fr   About Talend Talend, a leader in cloud integration solutions, liberates data from legacy infrastructure and puts more of the right data to work for your business, faster. Talend Cloud delivers a single platform for data integration across public, private, and hybrid cloud, as well as on-premise environments, and enables greater collaboration between IT and business teams. Combined with an open, native, and extensible architecture for rapidly embracing market innovations, Talend allows you to cost-effectively meet the demands of ever-increasing data volumes, users, and use cases. Over 1,500 global enterprise customers have chosen Talend to put their data to work including GE, HP Inc., and Domino’s. Talend has been recognized as a leader in its field by leading analyst firms and industry publications including Forbes, InfoWorld, and SD Times. For more information, please visit www.talend.com and follow us on Twitter: @Talend.
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The Majority of Businesses Surveyed are Failing to Comply with GDPR, According to New Talend Research

70% of companies surveyed couldn’t fulfill data access and portability requests within the GDPR-specified one-month time limit Redwood City, CA - September 13, 2018 - Some 70% of surveyed businesses worldwide failed to address requests made from individuals seeking to obtain a copy of their personal data as required by GDPR (General Data Protection Regulation) within the one-month time limit set out in the regulations, reveals new research from Talend, a global leader in cloud data integration solutions. The research is based on personal data requests made to 103 companies based or operating in Europe across industries including retail, media, technology, public sector, finance, and travel. Conducted between June 1 and September 3, 2018, Talend assessed responses to GDPR Article 15 (“Right of access by the data subject”) and Article 20 (“Right to data portability”) requests, monitoring areas including GDPR references in privacy policies, and the speed and completeness of responses. “GDPR requires insight into company data and its governance,” said Penny Jones, Research Director at 451 Research.  “Recent research, including that done by Talend and separate reports by 451 Research, has found that while many organizations understand the importance of GDPR, many are still not taking their data seriously in terms of the technologies and processes they have in place. As a result, many businesses are falling short of their GDPR obligations. They can lack the proper methods for storing, organizing or retrieving data in line with the regulation’s requirements.” “GDPR presents an opportunity to engage with customers and build loyalty. It’s vital for businesses in the digital era to have a 360-degree view of customers,” said Jean-Michel Franco, Senior Director of Data Governance Products at Talend. “Businesses must ensure that data is consolidated and stored in a transparent and shareable way. What’s more, GDPR’s one-month time limit should be viewed as an absolute deadline rather than a target. Our research shows that it is possible for some brands to respond within a day, suggesting that these brands understand fast response times will help boost customer trust.” Major findings from the research include: GDPR compliance is higher outside of Europe Just 35% of Europe-based companies polled provided data. This includes companies headquartered in the UK, France, Germany, Spain, Sweden, and Italy. However, at 50%, the compliance rate was slightly higher for non-European companies, suggesting that businesses outside of Europe are taking a slightly more proactive approach to GDPR. Retail firms had lowest response rate A worrying 76% of retail companies polled failed to respond, while the best performing industry, Financial Services, still only managed a 50% success rate. When drilling down in the results, the research suggests that businesses that started out offline, and those that are hindered by legacy systems, may find GDPR compliance more challenging. Significantly different response times between industries The vast majority (65%) of GDPR compliant companies took more than ten days to respond and the overall average response time was 21 days. For some, however, the response was much quicker. Of those who responded within the time limit (22% of companies) – primarily streaming services, mobile banking, and technology businesses – replied within just one day, suggesting that digital service companies are more agile when it comes to GDPR compliance. More benchmark results will be shared by Franco during his presentation today at the Strata Data Conference in New York City. Approaches to help manage technologies and processes for GDPR are explained here.   About the Research Talend conducted market research to assess companies’ ability to comply with the new GDPR regulation. The research involved 103 GDPR-relevant companies across the globe (EU companies [70%] or companies based in NORAM [19%] or APAC [11%] that conduct business in Europe) from a range of industries (retail, media, technology, utilities & telecommunications, public sector, finance, and travel, transportation & hospitality. The analysis involved the following: Assessing whether companies had updated their privacy policies to account for GDPR Researching whether companies had dedicated ways for consumers to request GDPR data (i.e., the personal information the company has on them) Requesting GDPR data and assessing how quickly and thoroughly companies comply Requesting GDPR data in a way that may be directly accessed and reused by the individual (data portability)
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Talend Speeds Apache Spark and Machine Learning Implementations without Coding

New sandbox provides a fast and easy way for data engineers to build high-performance smart data pipelines Redwood City, CA - September 11, 2018 - Talend, a global leader in cloud integration solutions, today announced it will debut at the Strata Data Conference in New York City a new sandbox that brings sophisticated machine learning technologies to the hands of developers and data engineers so they can easily create smarter data pipelines. With the Talend Big Data and Machine Learning Sandbox, data engineers can start using a step-by-step “cookbook” that includes pre-built machine learning proofs of concept and leverages Apache Spark, Spark Machine Learning Library (MLlib) and Spark Streaming in minutes without coding. Interested parties can download the free sandbox here. “There is a massive skills gap where developers and data engineers are struggling to implement big data and machine learning to drive greater business insight,” said Ashley Stirrup, CMO at Talend. “Hand-coding big data integrations often results in inefficiencies when moving to production, such as high maintenance costs, manual integration tasks and re-implementation of machine learning algorithms. With Talend Big Data and Machine Learning Sandbox, teams can get up and running with machine learning in minutes and make the transition from pilot to production more quickly.” Four pre-built machine learning proofs of concept are included in a step-by-step ‘cookbook’. with the Talend Big Data and Machine Learning Sandbox. Developers and data engineers can quickly get started with a fully configured, drag-and-drop Spark processing environment and uncover business insights using Talend’s out-of-the-box scenarios, including: Recommendation Engine – Automate a next-best-movie offer using machine learning Real-Time Risk Assessment Engine – Mitigate risk with real-time loan prediction IoT Predictive Maintenance – Optimize performance and lifecycle of vending machines using sensor data Data Warehouse Optimization – Offload data processing to Spark for faster and deeper insight, at a lower cost In addition to the machine learning practical examples, the Talend Big Data and Machine Learning Sandbox provides a free trial of Talend’s award winning real-time big data platform with: 900+ drag-and-drop components including Spark, Spark Streaming, Spark Machine Learning Library (MLlib), Kafka, NoSQL, AWS, Azure, Google, Salesforce and more Out-of-the-box machine learning components for: Classification, Clustering, Recommendation and Regression Cloudera, Hortonworks and MapR big data platforms in a ready-to-run Docker virtual environment This new sandbox allows IT professionals to work smarter with machine learning and data integration and easily operationalize machine learning models created by data science teams. With a Talend subscription, customers will have the ultimate portability to run sandbox projects in private cloud, multi-cloud (AWS, Google, Azure), hybrid, Talend Cloud or on-premise environments. Talend will showcase its new machine learning sandbox at its booth # 1321 during the Strata Data Conference held at the Jacob Javits Center in New York City, Sept. 11-13. More information on the Talend Big Data and Machine Learning Sandbox can be found here. Details on Talend’s entire portfolio of solutions are available at www.talend.com. Like this story? Tweet this: .@Talend launches Talend Big Data and Machine Learning Sandbox to enable smarter data pipelines more easily.
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