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What’s In Store for the Future for Master Data Management (MDM)?

Master Data Management (MDM) has been around for a long time, and many people like myself, have been involved in MDM for many years. But, like all technologies, it must evolve to be successful. So what are those changes likely to be, and how will they happen? In my view, MDM is and will change in important two ways in the coming years. First, there will be technological changes, such as moving MDM into the

The Big Data Debate: Batch vs. Streaming Processing

While data is the new currency in today’s digital economy, it’s still a struggle to keep pace with the changes in enterprise data and the growing business demands for information. That’s why companies are liberating data from legacy infrastructures by moving over to the cloud to scale data-driven decision making. This ensures that their precious resource— data — is governed, trusted, managed and accessible. While businesses can agree that cloud-based technologies are key to

Serverless: A Game Changer for Data Integration

The concept of cloud computing has been around for years, but cloud services truly became democratized with the advent of virtual machines and the launch of Amazon Elastic Compute in 2006. Following Amazon, Google launched Google App Engine in 2008, and then Microsoft launched Azure in 2010. At first, cloud computing offerings were not all that different from each other. But as with nearly every other market, segmentation quickly followed growth. In recent years, the c

How to Spot a DevOps Faker: 5 Questions, 5 Answers

With the rapid growth of DevOps teams and jobs, it follows that there are candidates out there who are inflating--or flat-out faking--their relevant skills and experience. We sat down with Nick Piette, Director of Product Marketing API Integration Products here at Talend to get the inside scoop on how to spot the DevOps fakers in the crowd:

Creating Real-Time Anomaly Detection Pipelines with AWS and Talend Data Streams

Introduction Thanks for continuing to read all of our streaming data use cases during my exploration of Talend Data Streams. For the last article of this series, I wanted to walk you through a complete IoT integration scenario using a low consumption device and leveraging only cloud services. In my previous posts, I’ve used a Raspberry Pi and some sensors as my main devices. This sing

Key Considerations for Converting Legacy ETL to Modern ETL

Recently, there has been a surge in our customers who want to move away from legacy data integration platforms to adopting Talend as their one-stop shop for all their integration needs. Some of the organizations have thousands of legacy ETL jobs to convert to Talend before they are fully operational. The big question that lurks in everyone’s mind is how to get past this hurdle. Defining Your Conversion Strategy

Metadata Management 101: What, Why and How

Metadata Management has slowly become one of the most important practices for a successful digital initiative strategy. With the rise of distributed architectures such as Big Data and Cloud which can create siloed systems and data, metadata management is n

[Step-by-Step] How to Load Salesforce Data Into Snowflake in Minutes

As cloud technologies move into the mainstream at an unprecedented rate, organizations are augmenting existing, on-premise data centers with cloud technologies and solutions—or even replacing on-premise data storage and applications altogether. But in almost any modern environment, data will be gathered from multiple sources at a variety of physical locations (public cloud, private cloud, or on-premise). Talend Cloud is Talend

Six Do's and Don'ts of Collaborative Data Management

Data Quality Projects are not technical projects anymore. They are becoming collaborative and team driven. As organizations strive to succeed their digital transformation, data professionals realize they need to work as teams with business operations as they are the ones who need better data to succeed their operations. Being in the cockpit, Chief Data Officers need to master some simple but useful Do’s and Don’t’s about running their Data Quality Projects. Let’s list

Why data is no longer just an IT function

Data – or at least the collection, storage, protection, transfer and processing of it – has traditionally been seen as the role of a modern data-driven technical division. However, as data continues to explode in both volume and importance, it is not enough to gather huge amounts of disparate data into a data lake and expect that it will be properly consumed. With data becoming the defining factor of a business’s strategy, this valuable gold dust needs to be in the hands of the right bu