Talend

Redwood City, CA, USA
2005
Mar 16, 2023   |  By Thibaut Gourdel
The Stitch team has released many new capabilities the last few months, and we're excited to share all the new features and improvements with you. In this blog post, we'll take a closer look at what's new in this latest release and how it can benefit you. Here's a quick overview of what's new in Winter '23 for Stitch: Let's dive into each of these new capabilities in more detail.
Feb 28, 2023   |  By Talend Team
We recognize that extracting the most return from your data isn’t always easy. In fact, for many organizations, it rarely is. According to a recent survey, 97% of respondents said they face challenges using data effectively. And NewVantage Partners found that only 24% of executives say their organizations are data-driven. There are simply too many data sources, too much data volume, and too few resources for these organizations to effectively manage the growing demand for trusted data.
Feb 9, 2023   |  By Casey George
Prepping for a sales kick-off puts the focus on an organization’s customers unlike any other event. There is no selling — or success — without understanding and fulfilling the needs of our prospects and customers. As our gathering in Nashville last month proved, Talend is laser-focused on meeting customers wherever they are in their data journey, with everything they need to solve their most pressing data management challenges.
Dec 20, 2022   |  By Nicolas Mastin
More than 1,000 connectors and components in Talend Cloud put powerful graphical tools at your fingertips to connect databases, big data sources, on-premises data, and cloud applications. Now imagine designing cloud-to-cloud and hybrid integration workflows in Talend Studio and automating publication to a fully managed cloud platform.
Dec 9, 2022   |  By Don Pinto
The growth of big data has scattered data sources throughout the enterprise, tucking them away in silos and making them hard to find. But there is more to data than just storing information in an operational data store or running analytics from a data warehouse. For example, regulated industries have requirements needing tighter control over the data.
Nov 23, 2022   |  By Kate Speer
Eneria, a subsidiary of the Monnoyeur Group, is a leader in energy production and motorization solutions. As the exclusive Caterpillar dealer in France, they have developed notable and unique expertise in the field of generator sets, Caterpillar generators, inverters, and engines. As a well-established industry leader with over 870 employees across dozens of departments, Eneria knows the pivotal importance of interdepartmental communication — not just between employees, but between data.
Nov 17, 2022   |  By Vincent Menard
Mapping source columns with a data destination is arduous and time-consuming. Data fields can come from many source types and formats. Even though you are the expert on your datasets, you may require the assistance of IT to set up the mapping. However, the more sources, the more handoffs, the higher the possibility of errors. As organizational data has become more dispersed and voluminous across organizations and applications, it's more important than ever to ensure that you understand your data.
Nov 9, 2022   |  By Talend Team
In its 2022 Magic Quadrant™ for Data Quality Solutions report, Gartner® emphasizes the “importance of having a critical approach toward managing the health and fitness of data.” We agree that “poor data quality completely destroys business value.” Organizations simply cannot afford for data quality to be an afterthought. And if you’re currently in the process of evaluating data solutions for your organization, this report can help.
Oct 4, 2022   |  By Talend Team
Apache Beam is an open-source, unified programming model for batch and streaming data processing pipelines that simplifies large-scale data processing dynamics. The Apache Beam model offers powerful abstractions that insulate you from low-level details of distributed data processing, such as coordinating individual workers, reading from sources and writing to sinks, etc.
Sep 29, 2022   |  By Talend Team
Domino’s Pizza, one of the world’s top restaurant brands, already knows how to translate data into great customer experiences and stronger sales with Talend. Over the past five years, the company has used Talend to integrate 100’s data sources into a single source of customer information — and has harnessed that data to improve everything from personalized promotions to logistics to financial forecasting. The latest ingredient to their success?
Jan 12, 2023   |  By Talend
This episode features an interview with Scott Zoldi. He is the Chief Analytics Officer at FICO where he is responsible for the analytic development of FICO’s product and technology solutions. Scott is involved in developing new analytic products and applications, and has authored more than 100 patents. His current focus is on self-learning analytics to detect cyber security attacks. On this episode, Scott talks about how to attract and retain world-class data scientists, the importance of following a model governance process, and responsible AI.
Jan 5, 2023   |  By Talend
This episode features an interview with Robert Brown, the Senior Director of Research for the Venture Forward Initiative at GoDaddy. This is his 13th year at GoDaddy, having started as Director of Database Marketing. Prior to GoDaddy, Robert served as Director of Pulte Homes for 9 years. On this episode, Robert talks about tiering data for smarter decisioning, developing intrinsic motivation in employees, and being a successful steward of data and insights.
Dec 15, 2022   |  By Talend
This episode features an interview with Philip O’Donnell, Group SVP of Data Platforms at the Adecco Group, the world’s leading talent advisory and solutions company. Philip has 13 years of experience in data analytics leadership and strategy consulting across a variety of industries. Prior to the Adecco Group, Philip served as Director of Data Science at Lee Hecht Harrison. On this episode, Philip discusses managing data at a big enterprise, how to prevent business decisions based on bad data, and turning data into dollars.
Dec 13, 2022   |  By Talend
Change is something every business leader has to deal with. But have you noticed that doing business has just gotten weird? An event that occurs around the world can suddenly have a profound effect on your company. How do you deal with constant, discombobulating change?
Dec 11, 2022   |  By Talend
Talend Data Catalog gives your organization a single, secure point of control for your data. With robust tools for search and discovery, and connectors to extract metadata from virtually any data source, Data Catalog makes it easy to protect your data, govern your analytics, manage data pipelines, and accelerate your ETL processes.
Dec 8, 2022   |  By Talend
This episode features an interview with Dr. Kelly Hereid, Director of Catastrophe R&D at Liberty Mutual Insurance in the Corporate Enterprise Risk Management Group. Prior to Liberty Mutual, Kelly was a research scientist at Chubb in their primary side natural catastrophe unit. She has a Ph.D. in geological sciences from the University of Texas – Austin, focusing on climate science. On this episode, Kelly talks about using historical data to create catastrophe models, taking a strategic standpoint to invest in resiliency, and reducing vulnerability to changing hazards.
Dec 4, 2022   |  By Talend
Building a modern microservice architecture doesn't have to be difficult.
Dec 1, 2022   |  By Talend
In this 20 minute interview, Talend’s regional director Ben Goreux and Principal Solution Architect at AWS, Mark Burnard sit down to discuss.
Nov 30, 2022   |  By Talend
In this new Spool Tutorial, learn about exporting Google Analytics 4 data to your chosen destination. Stitch partners with the most common data warehouses and data lakes to help move your data to places like Amazon Redshift, Snowflake, Amazon S3, PostgreSQL, Panoply, and more.
Nov 28, 2022   |  By Talend
Cloud migration is a top initiative of organizations all over the world today. But how can businesses make sure that their migration efforts are not only successful, but that they are making the most of data in the cloud? Join this session to hear how Talend, AWS, and Snowflake together can help organizations in their cloud journey to truly modernize their systems and applications — and reap the benefits of data while optimizing data management in the cloud.
Nov 1, 2018   |  By Talend
The Cloud model lowers the barriers to entry-especially cost, complexity, and time-to-value-that have traditionally limited the adoption and successful use of data warehousing technology. Download this report to learn the advantages of data warehouses in the Cloud and where a Cloud data warehouse fits within the enterprise analytics strategy.
Nov 1, 2018   |  By Talend
This eBook helps you understand the full capacity of what a true data lake can deliver and the four pillars required to support it. The right data lake platform goes deeper and broader than ever before to reach unfathomable levels of new insight.
Oct 1, 2018   |  By Talend
With the most comprehensive security measures in place, Talend Integration Cloud makes cloud data secure in transit and at rest, giving enterprises full confidence in cloud data privacy.
Oct 1, 2018   |  By Talend
Using Talend and Amazon Web Services (AWS), financial institutions are building cloud data lakes to consolidate customer data across hundreds of sources. By validating the quality of that data and correlating data sets with automated processes, you can deliver trusted reporting that meets regulatory requirements and uncover insights for new business.
Sep 1, 2018   |  By Talend
To find out the state of the IoT and Big Data markets, the O'Reilly team analyzed 300 TB of text and billions of digital documents-search queries, meetups, hiring patterns, SEC filings, websites, and more. The results-based on a big-data analysis of true market activity, not just speculation-are surprising and exciting.
Sep 1, 2018   |  By Talend
Enterprises have realized that leveraging their data to make data-driven decisions is critical to innovation and staying ahead of their competition. But often organizations are not able to efficiently integrate and process enterprise data for fast analytics, due to reliance on legacy ETL solutions and data silos.
Aug 1, 2018   |  By Talend
This white paper shows you how to spot bad data and debunks the 6 most common data quality myths. As the total volume of data around the world continues to increase, so will the volume of bad data. Poor data quality costs companies an average of $15 million per year (and rising), according to Gartner.
Aug 1, 2018   |  By Talend
This handbook takes a deep dive into the IT architectures developed by 3 different enterprises for big data, real-time analytics, and ETL projects on Amazon Web Services (AWS) using Talend.
Jul 1, 2018   |  By Talend
APIs left the realm of the IT department long ago, and are definitely not just for developers anymore. APIs are increasing how vital enterprise data is accessed, managed, and distributed at scale by everyone in the business, becoming valuable assets in and of themselves.
Jun 1, 2018   |  By Talend
According to a recent Talend survey, 'challenger banks' are better positioned than established financial institutions to innovate as legacy IT systems in traditional high street banks are blamed for lack of data integration.

Talend was founded in 2005 to modernize data integration. Since then, Talend went public on Nasdaq (TLND) in 2016, and Talend Open Studio, its first open source product, has been downloaded more than 3 million times.

Today, Talend, a leader in cloud integration solutions, liberates data from legacy infrastructure and puts more of the right data to work. Talend Cloud delivers a single platform for data integration across public and private cloud, as well as on-premises 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 to cost-effectively meet the demands of ever-increasing data volumes, users, and use cases.