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Talend Leads Innovation for OpenAPI Visual Design Support

Advancements to API Services deliver state-of-the-art compatibility with third-party technologies in the Spring ’19 release of Talend Data Fabric Redwood City, CA - April 30, 2019 - Talend, a global leader in cloud data integration and data integrity, today announced support for OpenAPI specification (OAS) version 3.0 as part of its Spring ’19 release of Talend Data Fabric. The new API service advancements included with Talend Cloud provide full API development lifecycle support, enabling significant time savings in building and maintaining APIs in an integrated environment. 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. “As a founding member of the OpenAPI Initiative, Talend continues to lead the innovation around visual API design,” said Jerome Louvel, VP of Product Management at Talend. “Given the growth of APIs driven by microservices and digital initiatives, support for an environment that increases DevOps teams' productivity while enabling collaboration with less technical API stakeholders becomes critically important. With this release, we can also ensure that customers have a smooth upgrade path to OAS 3.0 from previous versions or alternative formats.” OAS 3.0 Support Drives Speed and Compatibility Talend Cloud is an integration platform-as-a-service (iPaaS) that makes it easy to collect, govern, transform, and share data. Highlights of OAS 3.0 support in Talend Cloud include: Data type composition, e.g. merge different customer information (such as profile, contact and preferences into a unified view of a customer) Data type polymorphism Documentation of new security schemes (such as OpenID Connect or JWT) Reusable API components (e.g. create a component that describes how to paginate results and use it across multiple API operations) Default response and status ranges (e.g. for “any error” on this operation, “this particular” response will be returned) Convert API definitions to and from other formats (e.g RAML and Swagger)  Visual implementation of APIs as mini and microservices These new features are usable on existing API definitions. Through a quick import, customers can seamlessly transition to OAS 3.0 from Swagger 2 as well as from RAML.  Additional Cloud Enhancements to Spring ‘19 In addition to new API services, the Spring ’19 release of Talend Data Fabric includes new features for its management console, data prep and stewardship capabilities, including: Enhanced support for Amazon API Gateway Enhanced support for Azure API Management Automated service deployment through Talend Cloud APIs Authentication via personal access tokens A new web-based graphical designer to create end-to-end pipelines to preview and transform your data Improved efficiency for dataset cleansing and standardization For more information on this offering, check out the webinar demo here or sign up for a cloud trial here.
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Talend Enables Seacoast Bank to Ensure Compliance and Achieve Faster Analysis

Innovative data integration and data quality capabilities help deliver trusted data at the speed of business Redwood City, CA - April 29, 2019 - Talend, a global leader in cloud data integration and data integrity, today announced that Seacoast Bank (NASDAQ: SBCF), will deploy Talend Data Fabric to deliver trusted data and ensure regulatory compliance. With Talend, Seacoast Bank is able to address stringent regulatory banking requirements, reduce costs by automating data quality tasks, and speed up analysis. Data governance for the financial industry “Being heavily regulated, banks understand the need for data governance more than any other industry,” said Mark Blanchette, SVP, director of data management and business technology, Seacoast Bank. “That made it easier for us to put in place this innovative data quality framework that facilitates compliance. More importantly, it helps us be responsible data caretakers who can rely on high-quality data to better know and serve our customers.” Talend Data Fabric has streamlined review processes and enabled bank personnel to focus more on their core mission instead of manual processes intended to ensure data quality. To do this, Seacoast Bank built a data quality index as part of its overarching data governance program. The index uses Talend to make data quality understandable to business users throughout the organization. It measures data quality on six dimensions: accuracy, completeness, conformity, consistency, uniqueness, and validity. Using a scale of 0 to 100, the index is a single measure that provides an overall indication of the level of data quality at Seacoast Bank. It also measures data quality over time to track how it improves or degrades as the bank acquires other banks and new data sources, processes, or technical environments are introduced. Better data quality means better analytics “We are proud to be part of Seacoast Bank’s innovative approach to governing data,” said Ciaran Dynes, SVP of Products at Talend. “By making it less complicated to achieve quality data, our customers can spend more time focusing on analysis and maximizing their business benefits.” Additional information on how Seacoast Bank is using Talend can be found here. For more information on other innovative customer use cases and Talend’s entire portfolio of solutions, visit www.talend.com.
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Talend Modernizes Data Pipelines for Hybrid and Multi-Cloud Environments

Pipeline Designer provides a simple design experience for integrating data from AWS, Azure, Snowflake, and other sources Redwood City, CA - April 16, 2019 - Talend, a global leader in cloud data integration and data integrity, today announced the addition of Pipeline Designer to Talend Cloud, a unified, comprehensive, and highly scalable integration platform as-a-service (iPaaS). Talend’s new web-based graphical designer dramatically simplifies the creation of end-to-end data pipelines, giving customers the ability to preview live data and transform it with ease. Using a single web interface, data engineers and developers can seamlessly design data pipelines across batch and streaming use cases​ that can scale with the latest hybrid and multi-cloud technologies.   Enables data pipelines to be built faster and smarter with a next-generation design environment With Talend, the processing and computing layer is decoupled from the data pipeline design so companies can scale with the cloud and/or on-premises technologies of their choice at any time. Talend Cloud with Pipeline Designer enables IT and ad-hoc integrators to use a simple interface to transform and move their data—whether it is on-premises or cloud, batch or streaming— into cloud data lakes and data warehouses within a single seamless environment. “A majority of organizations are integrating sources and targets across hybrid and multi-cloud environments, where on-demand availability, elastic scalability, and ease-of-use are expected. These complex environments also have unique functional and non-functional requirements that can result in an assembly of multiple tools and technologies for one end-to-end solution,” said Stewart Bond, director, Data Integration and Integrity Software research, IDC. “Talend Cloud with Pipeline Designer is built for hybrid and multi-cloud data environments, providing data engineers with ease-of-use and elastic scalability on-demand while also enabling integration of streaming and at-rest data, all-in-one tool, simplifying integration solutions.” Highlights of Pipeline Designer include: Create end-to-end pipelines to preview live data and transform it in a web-based UI Design and build resilient pipelines with schema-on-read capabilities  Develop and debug in real time with a live preview of data Design with speed across batch and streaming data use cases​ using a single interface  Integrate any data, structured or unstructured   Connect easily to leading data sources like Salesforce; Amazon S3, Redshift and Kinesis; Azure SQL Database; Snowflake; and Apache Kafka   Design pipelines in the cloud, then run on-premises, in AWS EMR, or in a virtual private cloud  Build and run hybrid, multi-cloud pipelines   Get unlimited scale by running native Apache Spark on big data platforms   Future-proof development with one-click portability between platforms   Data pipelines for today’s data integration needs “The requirements for modern data engineering are very different today compared to only a couple years ago. Most teams are not ready or equipped to process or analyze data in real time; yet, to remain viable, companies need to respond faster to opportunities and threats,” said Ciaran Dynes, SVP Products, Talend. “With Pipeline Designer’s new user-friendly UI, customers will be able to easily ingest and transform batch and streaming data. We’re thrilled to add this new design environment to Talend Cloud.” Talend Cloud is an integration platform as-a-service (iPaaS) that makes it easy to collect, govern, transform, and share data. Talend Cloud with Pipeline Designer is available now as part of the company’s Spring ’19 release. See how Talend Pipeline Designer modernizes data integration with our webinar demo or discover the hidden gems of Pipeline Designer. To begin using Talend Cloud with Pipeline Designer today, access your free 14-day trial.
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Talend Cloud Remote Engines Now Available on AWS Marketplace

New offering delivers hybrid cloud capabilities to customers Redwood City, CA - April 8, 2019 - Talend, a global leader in cloud data integration and data integrity, announced today that its Remote Engines for Talend Cloud are now available on AWS Marketplace for all regions. Remote Engines were designed to allow companies to run integration tasks securely across cloud and on-premise environments with only a few clicks from within their AWS account. Talend Cloud is a unified, comprehensive and highly scalable integration platform as a service (iPaaS) that runs on AWS and makes it easy to collect, govern, transform and share data. Within a single interface, companies can use big data integration, data preparation, API services and data stewardship applications to provide trusted and governed data across the organization. With Remote Engines for Talend Cloud, companies can securely run integration tasks natively from cloud to cloud, on-premise to cloud, or cloud to on-premise completely within the customer’s environment for enhanced performance and security. Talend also generates native Apache Spark code to provide additional scalable data processing on Amazon EMR. Additional features include the ability to: Collect, govern, transform and share data with ease and speed for your AWS data lake and data warehouse projects Lower latency connectivity to local AWS resources such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon EMR and Amazon Aurora Process data and deliver analytics fast and securely in an organization’s own environments Deploy the Remote Engines via AWS Marketplace in any region with only a few clicks and scale it up and down on-demand as required “Talend’s support for hybrid use cases is one of the most comprehensive in the industry and we are pleased to offer this flexibility to customers on AWS Marketplace,” said Michael Pickett, SVP of business development and ecosystems at Talend. “This further showcases Talend as an Advanced Tier Technology Partner in the AWS Partner Network (APN) that has achieved AWS Data and Analytics Competency status. Working closely with the AWS team, we have built 70+ components to AWS and continue to help customers quickly and easily move their data to AWS in a governed fashion.” Companies across all industries choose Talend Cloud for their cloud data lake and cloud data warehouse modernization projects because it offers more than 900 connectors and components, built-in data quality, native support for the latest big data and cloud technologies, and software development lifecycle (SDLC) support for enterprises, at a predictable price. Customers can find Remote Engines for Talend Cloud on AWS Marketplace here and can start deploying and seeing value from this capability today.
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Talend Named a Leader in Gartner Magic Quadrant for Data Quality Tools

Improves its Position Based on Ability to Execute and Completeness of Vision Compared to the Previous Report Redwood City, CA - March 29, 2019 - Talend, a global leader in cloud data integration and data integrity, today announced it has once again been recognized by Gartner, Inc. as a Leader in data quality tools as described in the 2019 Magic Quadrant for Data Quality Tools.1 This is the second consecutive time that Talend has been positioned in the Leaders quadrant. Talend improved its position over the previously issued report based on completeness of vision and ability to execute. For a complimentary copy of Gartner’s complete report click here. According to Gartner, Inc., “The term ‘data quality’ relates to the processes and technologies for identifying, understanding and correcting flaws in data that support effective information governance across operational business processes and decision making. The packaged tools available include a range of critical functions, such as profiling, parsing, standardization, cleansing, matching, enrichment and monitoring.”1 “Data quality has never been more important,” said Mike Tuchen, CEO, Talend. “It’s essential that companies can trust the data fueling their business decisions while delivering it at the speed required to remain on the cutting edge. We believe our position in the Leaders quadrant validates our vision and unique approach where data quality and governance are built-in and managed throughout the data value chain. We’re thrilled that Gartner has again positioned Talend as a Leader in this Magic Quadrant report.”  Only Talend offers a single suite of apps for data integration and data integrity with built-in, pervasive data quality and governance. Talend solves some of the most complex aspects of the data value chain, enabling companies to collect data across systems, govern it to ensure proper use and compliance, transform it and improve quality, and share it with internal and external stakeholders to help more users make the right decision on time, every time. In the report, Gartner notes: Data quality tools are vital for digital business transformation, especially now that many have emerging features like automation, machine learning, business-centric workflows and cloud deployment models. According to Gartner, the market for data quality software tools reached $1.61 billion in 2017 (the most recent year for which Gartner has data), an increase of 11.6 percent over 2016.
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Talend Customers to Share Expertise on Predictive Analytics and Investigative Journalism at Strata Data Conference 2019

Redwood City, CA - March 27, 2019 - Talend, a global leader in cloud data integration and data integrity, announced today that its customers AB InBev and The International Consortium of Investigative Journalists (ICIJ) will present at the Strata Data Conference, San Francisco 2019, taking place this week at Moscone West in San Francisco.  Details on Talend’s customer speaking sessions at Strata include: When: Wednesday, March 27 from 2:40-3:20 p.m. PT, Moscone West, Room 2005 Who: Harinder Singh, Global Director of Data Strategy & Solutions Architecture at AB InBev, will share a presentation on, “Modernizing AB InBev’s data architecture to improve predictive analytics and forecast.” Talend is proud to sponsor this informational session which will explore how, over the course of two years, the world’s largest brewer completely modernized its data architecture and moved it to the cloud. By accelerating data analytics and freeing up the time of its data scientist, AB InBev has been able to better anticipate demand and production, streamline logistics, and develop new beverages that have become best-sellers. When: Thursday, March 28 from 3:50-4:30 p.m. PT, Moscone West, Room 2018 Who: Pierre Romera, Chief Technology Officer for ICIJ, will discuss, “The Paradise Papers and West Africa Leaks: Behind the scenes with the ICIJ.” Romera will explore data visualization technologies that allow for effective investigative journalism, share how the ICIJ used enterprise software beyond traditional business analytical needs and for social good, Attendees will also discover how computing technologies can create a larger impact when they are used by a wide variety of people across industries. Talend will also showcase its cloud data integration and data integrity technologies in booth #1209 at the conference. For more information and to register for Strata Data San Francisco, please visit Talend’s event page:  https://www.talend.com/about-us/events/.
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Talend and RapidMiner Partner to Operationalize Artificial Intelligence

Providing a cloud native, enterprise-grade AI platform for mission critical business applications. Redwood City, CA - February 21, 2019 - Talend, a global leader in cloud integration solutions, announced that Talend Data Fabric and Talend's Stitch Data Loader will now integrate with RapidMiner Server and RapidMiner AI Cloud to help global enterprises operationalize data science and AI. Global business value derived from artificial intelligence (AI) was projected to total $1.2 trillion in 2018, an increase of 70 percent from 2017, according to Gartner, Inc. AI-derived business value is forecast to reach $3.9 trillion in 2022.[1] The partnership between Talend and RapidMiner will help data science focused organizations to operationalize predictive models in large-scale enterprise deployments in high-value use cases such as real-time customer experience, predictive maintenance, and fraud detection. This is possible thanks to RapidMiner adopting Talend’s open platform and component kit to develop machine learning components that can process at optimal performance and scale with Talend Data Fabric. This tight integration enables RapidMiner’s automated data science to be coupled with Talend’s enterprise data management platform. “Our customers have been doing exploratory data science and they are making incredible insights with their data and developing machine learning models to predict future behavior. But when they try to operationalize those machine learning models, they run into traditional challenges of scale, reliability, and manageability.  We partnered with Talend to give our customers a best of breed option to solve the operational challenges they face,” said Jeff Bashaw, VP Channels and Corporate Development at RapidMiner. “With the backing of a market leading data science and machine learning partner like RapidMiner, we’ve been able to help data scientists at global enterprises to finally operationalize AI,” says Michael Pickett, SVP Corporate Business Development. “The combined Talend and RapidMiner technologies are helping 2,000 organizations globally use AI to increase revenue, reduce cost, and eliminate risk on a consistent and operational basis.” This integration from Talend and RapidMiner is available now for data scientists to develop machine learning models that can rapidly scale to meet business needs and provide best in class customer experience, boost business outcomes and outsmart competition. For more information and a full analysis of this offering, register to attend the Operationalizing Artificial Intelligence with RapidMiner and Talend webinar taking place on April 30. [1] Gartner Says Global Artificial Intelligence Business Value to Reach $1.2 Trillion in 2018, Gartner, 2018 Like this story? Tweet this: .@Talend and @RapidMiner announce partnership to operationalize data science and AI. http://bit.ly/1OeuWTc.
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New Talend Research Identifies Cloud Data Warehouse Trends and Best Practices for 2019

TDWI survey highlights how to optimize the return of cloud data warehouse investments Redwood City, CA - February 20, 2019 - According to a new survey conducted by TDWI on behalf of Talend, a global leader in cloud data integration solutions, new cloud data warehouses (CDW) offer broader data capabilities, stronger performance, and greater flexibility than traditional on-premise databases. However, the survey found that while CDWs are often an important first step in digital transformation, enterprises need to follow some best practices to overcome implementation challenges and increase investment return. The full results of the survey with feedback from more than 200 data architects, and senior IT and analytics leaders can be downloaded here. “TDWI sees a wide range of data-driven IT systems moving to the cloud aggressively, and this includes the data warehouse,” said Philip Russom, Senior Research Director, Data Management at TDWI. “Cloud gives the data warehouse the elastic scale, agnostic storage, multi-tenant access, and controlled cost it needs for modern requirements. However, cloud data warehouses should be complemented with substantial data integration infrastructure to unify the many pieces of the warehouse with all the data sources and targets available.” Decision Resources Group (DRG) is one example of this. As a company that manages comprehensive data repositories covering 90+ percent of the U.S. healthcare system, DRG was struggling to combine and organize their disparate data sources. Healthcare data is stored in a structured way, creating the need for DRG to clean and normalize millions of records and group data to assess patient needs and market conditions. DRG was successful in switching to a cloud-first strategy by implementing Talend and the Snowflake cloud data warehouse as the foundation of its new Real World Data Platform. Because of this, DRG became 150 percent more productive without increasing costs, and have since onboarded 100 terabytes of data in just three months. The organization can now supply more meaningful data enabling physicians to understand different patient populations and provider markets to interact with them in a more optimized fashion. While survey respondents noted that adopting CDWs was critical to helping them achieve faster performance and lower costs, and take advantage of cloud features, there were a number of challenges associated with CDWs as well. Over 50 percent respondents indicated “data governance” as a top challenge, closely followed by “integrating data across multiple sources” at over 40 percent, and “getting data into the warehouse” at about 38 percent. Organizations data analytics needs in a CDW are becoming increasingly complex. Over 35 percent respondents expressed the need for in-memory processing, supporting structured and unstructured data, and integration with third-party analytics tools. As a result, CDWs need to accommodate a wide variety of data and serve a broad range of technical use cases.   Interestingly, 62 percent of respondents in the process of implementing CDWs want them to complement a data lake for analytics. All survey respondents were interested in features such as data quality, metadata management, processing and transforming data both before and after data is loaded to a CDW. As these requirements cannot be met solely by CDW technologies, the response suggests a need for integration solutions to complement the infrastructure. CDWs have to be enabled to accommodate a range of use cases, from business to technical, and support increases in speed and scale, while handling both current and future needs. “Cloud data warehouses enable enterprises to build data-fueled use-case applications and dynamically deploy data clusters. However, to be successful, enterprises need to understand the entire organization’s requirements,” said Ashley Stirrup, chief marketing officer at Talend. “Most enterprises using CDWs expect to be able to push data in and the rest will follow suit. In order to realize the full benefits – outside of just lowering costs – data architects need to be aware of how every business unit is using data and focus on integration.” Don’t overlook other architecture and data integration needs when building a CDW. Unlike some point solutions, Talend integration helps optimize and scale data processing before and after its placed in a CDW for complex and advanced processing and transformations. Visit Talend to download the full survey results. Like this story? Tweet: New survey by @TDWI and @Talend uncovers ways to be successful with a #CloudDataWarehouse https://bit.ly/2TDrJHl
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Talend Cloud Enables Online Betting Platform PointsBet to Ensure Compliance and Reliability Amid Rapid International Expansion

Governing diverse data sources with speed on Microsoft Azure, Talend helps support the delivery of a differentiated mobile betting experience to PointsBet’s customers worldwide Redwood City, CA and Melbourne, Australia - February 12, 2019 - Talend, a leader in cloud data integration solutions, today announced that PointsBet, a cutting-edge online bookmaker from Australia offering both traditional fixed odds markets as well as PointsBetting, is using Talend Cloud and Microsoft Azure to deliver a differentiated mobile betting experience to just under 100,000 customers worldwide and support its international expansion. With Talend, PointsBet can connect and govern diverse data sources with speed, trust, and reliability across its IT infrastructure and comply with regulations as it expands globally. A minor glitch during a major sporting event can prove disastrous for online betting platforms, which need strong, resilient IT infrastructure. Losses can run into the millions of dollars as players take their business elsewhere and the reputational and brand damage can be hard to reverse. Robust data systems are also needed to comply with the myriad regulations that online bookmakers are subjected to, such as providing reports and information to authorities and racing organizations to meet license conditions. PointsBet turned to Talend to build a responsive, cloud-first data infrastructure and help meet compliance standards in Australia – a highly regulated market for betting in the world – and beyond, as it enters new markets. “PointsBet is fully digital, and it’s critical we can access data in every system to ensure a streamlined platform. Talend helps us quickly and efficiently integrate all of our data and ensure we’re compliant across the board,” said Maayan Dermer, BI, and Data Engineering Lead, PointsBet. “Talend is the glue between our systems, and has enabled us to reduce troubleshooting times from four to eight hours weekly down to an hour, while simultaneously improving our data reliability and stability.” With Talend, PointsBet uses data to improve the customer experience for new products and promotions and ensure it delivers personalized offerings based on customer variables. PointsBet also uses data to determine the relative success of its different wagering products, including which products attract more people, deliver better margins, or have better engagement. PointsBet standardized on Microsoft Azure due to its scalability to handle peak online gaming requests and agility to quickly spin up new projects. Talend was a natural fit with out-of-the-box native support for Azure Blob Storage, CosmosDB, SQL Data Warehouse, SQL Server, Azure SQL Server, and Native SQL Server, as well as the flexibility to run workloads in the Cloud or on-premises. As PointsBet, who just recently was licensed to operate in New Jersey, starts expanding throughout the US, Talend will play a vital role in supporting the roll-out of its Data Analytics infrastructure and ensuring the company maintains compliance with varying state regulations. With Talend Cloud, PointsBet is able to provide a unified view of all of its data and comply with the periodic reports and requests of the online betting industry. Dermer added, “What was estimated for an engineer to hand-code in two weeks can now be done in four hours with Talend. We can now move faster and have better visibility into our business. Additionally, with Talend, we can work better with the regulators. When they see how responsive you are, how compliant you are, it gives them confidence in your business.” “It’s critical for data systems to maintain reliability and trust, especially in the cloud- and digital-first systems, not to mention when you are managing significant sums of money,” said Ciaran Dynes, SVP of Products, Talend. “PointsBet is using data to quickly respond to dynamic requests internally and externally. We’re proud to support the company as it grows and expands into new markets.” Additional information on how PointsBet is using Talend can be found here. For more information on other innovative customer use cases and Talend’s entire portfolio of solutions, visit www.talend.com. Like this story? Tweet this: .@Talend helps @PointsBet_AU leverage trusted data to maintain compliant customer experiences.
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Talend Introduces Fast, Frictionless Data Loading for Microsoft Azure

Stitch Data Loader Enables Developers to Ingest Data for Analysis in Minutes Redwood City, CA - February 7, 2019 - Talend, a global leader in cloud data integration software, today announced that Stitch Data Loader now supports Microsoft Azure's SQL Data Warehouse, providing one of the easiest ways for users to get data into a fast, flexible and secure cloud data warehouse. Available now, this purpose-built integration rapidly ingests data from popular sources. Stitch Data Loader can move data from 90+ data sources in minutes into Microsoft Azure SQL Data Warehouse. The new connector leverages Azure Blob Storage and PolyBase to get data into Azure Cloud and quickly loads it into Azure SQL Data Warehouse. Data type transformation between source and destination, schema changes, security, and bulk loading are all handled seamlessly by Stitch Data Loader. A flexible scheduler allows users to keep their cloud data continuously up to date with built-in replication features. With just a few clicks, companies can easily ingest data and scale with Stitch Data Loader through a frictionless, easy to try, easy to buy process, without needing to talk to a sales person or sign a long-term contract. With the free version of Stitch Data Loader, customers can load 5 million rows per month into Azure SQL Data Warehouse from many popular data sources. Stitch Data Loader connects to SaaS applications, databases, and cloud data sources like Google AdWords, Facebook Ads, MySQL, Salesforce, Stripe, and more. It also powers data ingestion for analytics, business intelligence, machine learning, data science, and automatically scales as data volume grows with nothing to configure, deploy, or maintain. “This is the biggest advancement to our product since we joined Talend, and it signifies our commitment to Microsoft Azure,” said Jake Stein, SVP Stitch at Talend. “Through the self-service cloud data ingestion capabilities of Stitch Data Loader, we make it easier for companies of any size to benefit from seamless onboarding and data ingest, while leveraging data analytics and reporting in Azure SQL Data Warehouse to optimize business outcomes.” Azure SQL Data Warehouse is a cloud analytics platform that separates storage and compute to give unique flexibility in deploying a solution for a user’s specific business requirements. This also allows users to stop and start job execution, while keeping data storage persistent. As a result, the solution ensures customers pay only for compute time and resources used. Stitch Data Loader is a component of the Talend Data Fabric, a suite of cloud apps designed to help customers collect, govern, transform and share data and insights. Talend customers can use Stitch Data Loader to begin collecting data with the confidence that Talend can help them solve all of their data integration needs. In addition to Azure SQL Data Warehouse, Talend Cloud provides native Azure connectors for Azure Table Storage, Azure Blob Storage, Azure Queue Storage, Azure Data Lake Store, and Azure Cosmos DB. For more information visit the Talend blog, or to start your free trial of Stitch today and load data into Azure SQL Data Warehouse in minutes, click here. You like this story? Share it on Twitter: .@Talend announces that @stitch_data now supports @Azure SQL Data Warehouse destinations! Read more. https://bit.ly/2AVUTIh
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